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Main Conference Day One
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08:20
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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09:00
Ngāti Whātua Ōrākei - Mihi Whakatau
Te Aroha Grace - -
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09:10
Welcome from Corinium and the Chairperson
Xanthe Sulzberger - Head of Data - Operational Excellence - Fonterra
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09:20
Speed Networking – Making new connections at CDAIO New Zealand!
During this 5-minute networking session, the aim of the game is to go and meet three people you don't already know. Have fun!
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09:25
Keynote
Same Fundamentals, New Scale: Decision-Making in the Age of AIBill Moses - Chief Information Officer - New Zealand Qualifications Authority | Mana Tohu Mātauranga o Aotearoa
- Are we applying the same decision-making fundamentals or assuming AI changes everything?
- Which decisions in our business need to operate at a scale and speed that humans alone can no longer manage?
- Have we embedded data and AI into how decisions are executed or are we still stopping at insight?
Speakers
Bill Moses Chief Information Officer New Zealand Qualifications Authority | Mana Tohu Mātauranga o Aotearoa
Vipin Kumar Chief Customer Officer New Zealand Qualifications Authority | Mana Tohu Mātauranga o Aotearoa -
09:50
From Pipelines to Products: Delivering Reliable Data for the Enterprise
- Why traditional data pipelines break at scale - and how clear ownership models like data contracts are changing accountability between teams
- What “good” looks like when data issues are identified and resolved before they impact decisions, reporting, or AI outcomes
- How leading organisations are reducing downtime, rework, and manual fixes by treating data as a product, not just a technical asset
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10:15
Panel
The Economics of AI – Cost, Consumption and Control at ScaleAs organisations scale AI, many are realising the economics behave very differently than expected—where inference cost explosion, token consumption, and open access can quickly lead to uncontrolled spend. This panel brings together data and AI leaders to explore the real cost drivers of AI, the trade-offs between model choices and infrastructure, and the guardrails needed to prevent missteps—while still enabling innovation at pace. At its core, this is a leadership challenge of maintaining the right balance between cost, risk, and value as AI adoption accelerates.
Key questions:
- Where are organisations overspending on AI today, and which levers actually make a meaningful difference in controlling cost?
- How are leaders managing inference cost explosion and token consumption without slowing innovation?
- What guardrails and controls are needed to prevent uncontrolled enterprise-wide AI spend?
Matt Bain Chief Technology & AI Officer Spark
Amanda White Chief Information Officer Open Country Dairy
Anna Cupples Chief Digital Officer (CDO) Harmoney -
10:50
Morning Coffee and Connect
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11:20
Panel
When AI Starts Giving the Wrong Answers — How Do You Stay in Control and Protect Your Outcomes?- How do you know your models are still fit for purpose and what tells you when they start giving inaccurate or unreliable information?
- With agents talking to each other for the first time, what happens when one gets it wrong and how quickly can that ‘poison’ your modelling and analytics?
- Where are your models most at risk of being skewed - whether through bias, incorrect inputs, model poisoning or more deliberate manipulation that changes how they behave?
- In a world where AI is now ‘in the hands of many’, how do you stay in control when models can be deployed, prompted or influenced without going through your usual standards?
Speakers
Fiona Thomson Chief Data & Analytics Officer NZTE
Ankit Gupta Group Chief Data and AI Officer The Warehouse Group
Rachel Harrison Head of Decision Science & AI ASB
Jordan Cunningham Head of Data and Analytics Sharesies
Sam Hambling Head of AI and ML Les Mills International -
11:55
From Data to Intelligence: Preparing Enterprise Data for AI
Senior Representative - - Informatica from Salesforce
- Is your data trusted enough for AI?
- How can you unify data across the enterprise?
- What does it take to become AI-ready?
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12:20
Keynote
No Pilots Left Behind: Auckland Council’s Value Driven AI Roadmap- What are the things we have been working on to deliver value, and what foundational capability have we needed to get it right?
- Enterprise AI governance and rolling out the foundations
- 4 Use cases
Speakers
Sarah Cawsey General Manager Data Auckland Council
Andrew Parkinson Head of Analytics Auckland Council -
12:55
Multi-Agent Systems: Efficiency Gains or Control Risks?
Senior Representative - - Boomi
- Where do multi-agent systems genuinely reduce cost and effort and where do hidden costs (compute, orchestration, token usage) begin to outweigh the gains?
- As agents increasingly collaborate autonomously, how do we maintain control and prevent errors from compounding across interconnected workflows?
- What is the right balance between automation and human oversight to ensure speed and scalability without introducing unacceptable risk?
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13:20
Lunch
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Track A: Trusted Data & AI
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14:20
Powering Agentic AI with Trusted Data
Jeremy Appleyard - Senior Sales Engineer - Precisely
Agentic AI is rewriting the rules of competitive advantage, but only for organisations whose data is ready to keep up. This presentation reveals the hidden “Agentic AI Data Integrity Gap” limiting enterprise AI today and shows how leading companies are closing it with a new standard of data: unified, enriched, real time, and governed. Key learnings:
- The Agentic AI Data Integrity Gap: why trapped, incomplete, outdated, inconsistent, and non compliant data undermines AI ROI
- The six principles of Agentic Ready Data: unify, enrich, operate in real time, shape for purpose, govern, and reduce cost through automation
- Real world applications and customer outcomes showing measurable impact in AI readiness, operational efficiency, risk reduction, and customer experience
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14:45
Who Controls AI? Regulation Meets Sovereignty
Kari Jones - Executive Director - Operational Excellence and Enablement - Financial Markets Authority – Te Mana Tātai Hokohoko
- How does New Zealand balance national control over AI with the need for global collaboration and open innovation?
- What needs to happen to ensure governance keeps pace with how fast AI is evolving in the real world?
- When AI systems fail or cause harm, who should be held responsible across the value chain?
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15:10
Data Sovereignty in Aotearoa: Embedding Māori Rights, Trust, and Governance in AI
- What does Māori data sovereignty mean in practice for organisations using data and AI- and what obligations does it create for leaders?
- How can organisations move from consultation to genuine partnership, embedding principles into governance and decision-making?
- Where are organisations getting it wrong today, and what does good, trust-based engagement with Māori communities look like?
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15:35
Trusted Data: Why Quality Still Breaks Everything and How to Fix It
Sonia Carter-Amani - Data Governance Specialist - SkyCity
- Why does data quality remain a persistent issue despite years of investment?
- Who is responsible for preventing data issues—not just fixing them?
- What does it take to build trust in data across both technical and business teams?
Etza Lukmanto Data Value Lead SkyCity
Sonia Carter-Amani Data Governance Specialist SkyCity -
16:00
Re-Architecting the Data Foundation for the AI Era: Governance, Scale and Risk
- How can organisations design data architectures that support AI, real-time analytics, and data products -while remaining flexible in multi-cloud and hybrid environments?
- What modern governance approaches (e.g., federated governance, data products, embedded controls) can ensure trust, quality, and compliance without slowing innovation?
- How can data leaders manage rising risks - across security, privacy, and AI usage - while scaling platforms to meet growing business demand?
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Track B: Value & Impact
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14:20
Embedding AI into Decisions: Where Real Value Is Won or Lost
Senior Representative - - Kong
- Where in the decision-making process does AI create the most value and where does it typically fail to influence outcomes?
- How can organisations embed AI into everyday decisions in a way that drives action, not just insight?
- What organisational, data, and governance barriers prevent AI from being trusted and used at the point of decision?
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14:45
Scaling AI: From Experimentation to Enterprise Impact
Kate Kolich - Head of Data and Artificial Intelligence - Contact Energy
As organisations move beyond experimentation into scaling artificial intelligence, success is no longer defined by what AI can do, but by how effectively it is applied in real-world contexts. Business outcomes are enabled by people using AI.
This session shares Contact Energy’s practical approach to turning AI ambition into sustained business impact, with a focus on multidisciplinary teams to co-create solutions grounded in operational reality. This approach has enabled AI to be embedded into ways of working, supported by repeatable patterns and AI capability uplifts.
Attendees will gain practical insights on moving from pilots to scalable delivery and building an AI ecosystem that balances innovation with governance.
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15:10
From Proliferation to Control: Managing ‘Agent Sprawl’ in the Enterprise AI Era
- Understand the risks of unchecked AI agent adoption, from security gaps to duplicated decision-making
- Explore operating models to manage, monitor, and orchestrate agents at scale
- Learn how leading organisations are balancing innovation speed with enterprise-wide control
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15:35
Signal Versus Noise: What it Takes to Drive Real Enterprise Transformation
Sean Narayan - Artificial Intelligence & Business Intelligence Lead - Bidfood New Zealand
- Why most AI initiatives stall at “good enough” and how focusing deeply on a few high-impact projects unlocks real, measurable business value
- How consistent delivery, not hype, builds trust in AI, driving executive buy-in, user adoption, and long-term organisational belief
- What it takes to move from AI experimentation to true enterprise impact, where use cases transform operations, revenue, and workforce structures
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16:00
Why People, Not Technology, Determine Whether AI Succeeds
- Why do organisations with the same AI technology see vastly different outcomes—and what role do leadership, culture, and skills play in that gap?
- How can businesses shift from a technology-first mindset to a people-first approach that drives real adoption, trust, and impact from AI?
- What capabilities, behaviours, and organisational changes are required to ensure humans and AI work together to deliver sustained value?
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16:25
Afternoon Coffee and Connect
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16:55
Data Engineering, Governance and Architecture Walk into a Bar... What Happened Next? Platform Transformation to Enable Value
Macushla Howell - Head of Data - NZ Post
Speakers
Macushla Howell Head of Data NZ Post
Tom Lintern Head of AI NZ Post -
17:20
From Centralised to Federated: Designing Data & AI Operating Models That Work
Peter McCallum - GM - Data, Intelligence & AI - The Warehouse Group
- Examine how AI is reshaping where and how data work happens - from centralised teams to more distributed, business-embedded capabilities
- Explore emerging operating models, from federated and hub-and-spoke to fully centralised centres of excellence, and when each approach works best
- Design purposeful structures that balance scale, speed, and control - aligning data enablement, analytics, and data science across the enterprise
- Establish governance, guardrails, and shared standards that enable widespread innovation without compromising trust, quality, or compliance
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17:45
Chair's Closing Remarks
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17:50
Close of Day 1
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17:50
CDAIO Drinks Reception
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Main Conference Day Two
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08:30
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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09:00
Welcome from Corinium and the Chairperson
Xanthe Sulzberger - Head of Data - Operational Excellence - Fonterra
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09:10
Opening Keynote
AI Isn’t Free: Understanding the New Cost Drivers of IntelligenceMike Parsons - Data & AI - Tribe Lead and Chapter Area Lead - Air New Zealand
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09:35
From Data Lake to Data Product Platform: What It Really Takes to Transform
- The hard lessons from organisations that moved beyond fragmented lakes to scalable, product-driven data platforms
- What breaks during transformation - ownership, funding models, or architecture - and how to course correct early
- How to align platform, business, and data teams around value delivery rather than asset creation
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10:00
Panel
Is Our Data Ready for AI or Are We Building on Fragile Foundations?- How much of today’s AI ambition is being limited or undermined by poor underlying data foundations?
- Where are organisations still struggling: data quality, consistency, accessibility, or ownership?
- Are we overcompensating with AI (e.g. LLMs, workarounds) instead of fixing core data issues?
- What does “AI-ready data” truly mean in practice - and how close are most organisations?
Sam Graham Head of Data and Analytics My Food Bag
Mira Bradshaw Head of Data & Analytics Acton International Marketing
Nastassia Subritzky Head of Data & Insights Mitre 10
Kenny Thein IT Director Restaurant Brands Limited -
10:35
Morning coffee and connect
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11:05
Building AI Infrastructure That Scales: From Shadow AI to Orchestrated Adoption
Manvi Madan - Head of Data Governance - SkyCity
- Shadow AI isn't a compliance failure—it's a symptom that your governance architecture can't keep pace with adoption velocity. Technical data foundations (master data, lineage, classification) are what enable trustworthy AI at scale without creating bottlenecks.
- Risk tiering as acceleration: Designing governance controls that let low-risk AI adoption move at product velocity while protecting high-impact decisions, turning governance from a constraint into a speed advantage.
- From exceptions to orchestration: Why traditional human-review gatekeeping breaks when adoption exceeds capacity, and how to build infrastructure that governs throughput, decision quality, and organisational impact instead of just compliance checkboxes.
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11:30
From Craft to Commodity: Redefining Competitive Advantage in the Age of Ubiquitous AI
- Examine whether advanced data and AI capabilities are truly becoming commoditised
- Identify where differentiation still exists: data assets, context, decision intelligence, and culture
- Redefine what ‘excellence’ looks like for organisations competing in an AI-saturated world
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11:55
Panel
Why Data Culture Programmes Fail and What Actually Changes Behaviour- Why doesn’t data literacy alone lead to more data-driven decisions?
- What organisational barriers prevent behaviour change - even with strong data capabilities?
- What motivates teams to use data consistently in their day-to-day work?
Speakers
Kathryn Byrne Chief Analytics Officer Woolworths Group
Michelle Thompson Head of Data Insights Z Energy
Senior Representative F&B Sector -
12:30
Data as a Product: What Actually Works at Scale
- What differentiates a true data product from a well-built dataset or dashboard?
- Who owns data products and how do we measure whether they are delivering value?
- What changes when you move from building data assets to managing them as products?
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12:55
LUNCH
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13:55
Panel
Have We Over-Engineered Data? Rethinking What “Good” Looks Like- Are we over-investing in platforms, governance, and tooling without improving outcomes? Where is the line?
- What do data teams actually need to deliver value today - and what can we stop doing?
- Has the push for modern data stacks, products, and frameworks added clarity or complexity?
- What would a lean, high-impact data function look like if we started again today?
Jenny Kim General Manager Analytics Partners Life
Graeme Jackson General Manager - Data & Analytics Vector Limited
Mike Congdon Head of Data & Analytics Southern Cross Healthcare
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14:30
The Value of Data: Rebuilding to Move Beyond Reports and Vanity Metrics
Mira Bradshaw - Head of Data & Analytics - Acton International Marketing
- How to identify the gap between data effort and data value
- Choosing where to start when you can’t do everything at once
- How a lean data function becomes a high-impact one – the case for operating model honesty
- Rethinking success and value for data – what returns actually look like, and how to measure them
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14:55
Beyond Policies: Building Scalable AI Governance That Drives Trust and Innovation
Mike Rankin - Head of Data and AI - TSB New Zealand
- Moving from static governance frameworks to dynamic, adaptive oversight models
- Aligning legal, risk, data, and business teams around a shared AI accountability structure
- Embedding governance into workflows without slowing down innovation or experimentation
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15:20
Afternoon Coffee and Connect
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15:50
Modern Data Platforms Are the Easy Part — Here's What Actually Matters
Christine Dong - GM of Data, Insights & AI - AA New Zealand
- Modern data platforms are essential foundations, but sustainable competitive advantage comes from how organisations operate and leverage them.
- Organisational complexity—such as fragmented ownership, demand, and prioritisation—is the primary barrier to scaling value. Lean, effective data and AI governance is critical to unlocking this.
- Clear, fit-for-purpose hybrid operating models, supported by strong in-house capability, are key to delivering scalable and sustainable data and AI outcomes.
- Ultimately, trust, adoption, and behaviour change determine whether data and AI investments translate into meaningful business impact.
Speakers
Christine Dong GM of Data, Insights & AI AA New Zealand
Aaron Ross Senior Data Manager AA New Zealand -
16:15
Fireside Chat
What Comes Next? Sustaining a Strong Data Community and Defining the Next StrategyDavid Thomas - GM of Data and Enterprise Architecture - NZ Post
As New Zealand’s data and AI ecosystem continues to grow, how do we ensure we don’t lose the openness, collaboration, and community spirit that make it so unique?
In this closing session, senior leaders reflect on what has made this community successful and share their perspectives on how we can sustain and strengthen it for the next generation. Looking ahead, they will also explore the emerging trends, opportunities, and challenges set to shape the next 12 months - offering their predictions for what lies ahead for data and AI leaders, and the strategies organisations should be considering now to stay ahead.
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16:40
Close of CDAIO New Zealand 2026
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DevSecOps Focus Day
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07:20
VIP Breakfast – Invite only
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08:20
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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08:50
Welcome from Corinium and the Chairperson
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09:00
Ministerial Keynote: NSW Government plans to support organisations prepare for fast-growing cyber threats
The Hon. Victor Dominello - Minister for Customer Service and Digital Government - NSW Government
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09:25
Mitigating real-world damage from attacks to critical infrastructure
Partner session - Senior representative - TBA
- How to keep OT and CI safe, secure, compliant, and available focusing on questions the boards can ask to assess progress
- The impact on critical infrastructure
- Strategies that can help reduce business risk
- Keeping it simple using security hygiene
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09:50
Detecting and preventing real threats to critical infrastructure
Varun Acharya - CISO - Healthscope
During this session, we’ll explore the main threats critical infrastructure stakeholders are experiencing and countering them, and strategies to detect and prevent these threats through exercises mimicking energy production and consumption, manufacturing, and a wide range of control automation configurations.
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10:15
NETWORKING BREAK
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10:45
Keynote: Understanding the full spectrum and preparing for the SOCI Act Reforms
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11:10
Go beyond compliance with your critical OT
Partner session - Senior representative - TBA
Today’s critical infrastructure is a prime target for cyber criminals. As operational technology (OT) becomes more connected, the growing number of devices and endpoints offer a larger attack surface and create more vulnerabilities. Securing this space is no easy task but there is an opportunity to go beyond minimum compliance requirements and improve your overall security posture. This session will cover:
- How the convergence of OT and IT affects your overall organisational cybersecurity
- What you need to consider in your security planning
- How to improve your visibility of vulnerabilities in a complex, converged environment, and enhance incident detection and response
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11:45
Keynote Panel: Compliance burden – How much regulation is too much?
Effective regulation for secure critical infrastructure is in everyone’s interest, and a strong government-industry partnership is crucial in managing risks and reducing regulatory burden. During this panel, we’ll explore challenges, concerns, and ideas on:
- What’s the cost impact to achieve and maintain CI compliance?
- Complying with CPS 234, CPG 234, CPG 235, and other standards
- Cross-sector support: how shared information and threat intelligence can be applicable across industries
Panellists:
Wouter Veugelen, CISO, Santos
Maryam Bechtel, CISO, AGL
Dave Cowan, CISO, Link Group
Faizal Janif, Senior Vice President and Head of Cyber Advisory, APAC, Marsh
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12:20
Lunch
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13:20
Group discussion: Preventing social engineering attacks
Shalindra Kulasuriya - Manager, Cyber Threat & Operations - AEMO
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13:45
Developing a maturity model – What Australia can learn from US Government cybersecurity
Partner session - Senior representative - TBA
President Biden released an executive order on cybersecurity to modernise the country’s defense and protection strategies. During this session, we’ll explore vendors’ successful capability and maturity measures when supplying services to US government agencies. You’ll leave this presentation with some inspiring ideas on how Australian organisations can advance their incident responses practices.
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14:10
Group discussion: Recovering from cyber incidents in CI
The legislation for critical infrastructure security offers great support for incident response. But recovering from cyber-attacks can be extremely challenging and costly for businesses. During this group discussion, you’ll brainstorm and share ideas with the group on how to create effective threat management and incident response strategies, and how to implement successful recovery and business continuity plans.
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14:55
NETWORKING BREAK
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15:10
Following civil aviation as a role model for CI protection
- Understanding the cybersecurity needs and challenges of aviation sector and how they’re overcoming it
- Benefits of perception of safety management and safety culture – can it be applicable across sectors?
- The measures and strategies implemented to protect aviation infrastructure – what other industries can learn
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15:35
Successful practices for critical infrastructure security documentation
Elrich Engel - CISO - AMP
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16:00
Wrap-up group discussion: What’s next?
Join our interactive wrap-up discussion to share your key take-aways from today’s sessions and hear how your peers will be address the Critical Infrastructure reforms moving forward. Key discussion points include:
- Understanding how the reform is applicable to your business
- Your new obligations related to your data storage or processing asset
- Government Assistance Measures: gather powers, action directions, and intervention powers
- Where to go and who to follow
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16:35
Closing remarks
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16:40
End of Critical Infrastructure Focus Day
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16:45
Pre-Conference Cocktail Reception & Networking
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18:00
CISO Sydney 2023 Pre-Conference VIP Dinner
Not Found
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07:20
VIP Breakfast – Invite only
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08:20
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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08:50
Welcome from Corinium and the Chairperson
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09:00
Ministerial Keynote: Australian Government & Industries partnering up to tackle the talent gap through skills and training
The Hon. Brendan O’Connor - Minister for Skills and Training - Australian Government
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09:25
Emotional intelligence for cybersecurity leaders
Partner session - Senior representative - TBA
A CISO role goes far beyond a technical information assets and technology security role. With increased demand for risk, compliance, and governance skills, their role continues to evolve and require executive management capabilities. During this session, we will unveil a simple powerful process to awaken CISOs leadership and life skills.
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09:50
Keynote: Embracing cybersecurity in 2023 – Building an effective program
Maryam Bechtel - CISO - AGL
- Successful practices combining cybersecurity and data protection to comply with increased data privacy regulations
- How to adopt secure digital identity and mitigate privacy rights risks
- Embedding the necessary protections into your identity verification systems
- Implementing architecture systems that reduces overcollection during identity verification
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08:00
NETWORKING BREAK
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09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
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12:00
Lunch
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Track A
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09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
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08:00
NETWORKING BREAK
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09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
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Track B
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09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
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08:00
DAY 3 REGISTRATION
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09:50
Fireside Chat: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
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09:55
Group Discussion: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
-
10:00
Panel Discussion: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
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10:05
Solutions Clinic: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
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FOCUS DAY: DecSecOps
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07:20
VIP Breakfast – Invite only
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08:20
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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08:50
Welcome from Corinium and the Chairperson
-
09:00
Setting the Scene: Accelerating your digital business strategy
- Exploring how IT delivery is evolving
- Enabling speed, quality & security with DevOps
- Strategies to embed security into your digital delivery journey
- Exploring effective ways of designing your DevSecOps roadmap
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09:25
The fusion of DevOps and DevSecOps
Partner session - Senior representative - TBA
- DevOps – how has it evolved in the last 5 years?
- How the rise of DevSecOps is impacting businesses across Australia
- What it means to your teams and your organisation from a practical standpoint
- DevSecOps automation tools – hype or reality?
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09:50
Keynote: A framework for secure software development
Ashwin Pal - Partner, Cybersecurity and Privacy Services - RSM Australia
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10:15
NETWORKING BREAK
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10:45
How to get your DevSecOps maturity model right
- What security measures can be applied when using DevOps strategies?
- What approaches can be employed to prioritise these security measures?
- How can you and your team make effective assessments?
- The tools are there for a while – what are the cultural challenges of advancing your maturity model and how to address them?
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11:10
Can we trust developers to handle security?
Partner session - Senior representative - TBA
During this session, we’ll explore how security teams can scale by empowering developers to create secure applications, including the use of modern cloud technologies that are used to deploy and run application workloads.
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11:45
Keynote Panel: What is good and bad when measuring DevSecOps?
During this interactive discussion, our panellists will discuss common challenges, share perspectives, and propose ideas and solutions to key challenges. Key discussion points include:
- What good and bad looks like for different organisations
- What are you measuring against? Do you have a benchmark?
- How do you know what you are measuring – and is that what you should be measuring?
- How to build metrics and understand what will lead you to effectiveness and success
- Final thoughts and conclusions
Moderator:
Jo Stewart-Rattray, Chief Security Officer, Silverchain
Panellists:
Ashwin Pal, Partner, Cybersecurity and Privacy Services, RSM Australia
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12:20
Lunch
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13:20
Building and scaling developer-led security culture
Vangie McKay - Cloud Support Manager - eHealth NSW
During this session, we’ll explore different journeys in building a security culture and the impact of a successful developer upskilling program. We’ll explore how important culture is in an effective security program and how to influence it, get executive buy-in, hire the right people, balance technology vs. humans, measure the efficacy and impact - and how to have a bit of fun with it too!
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13:45
Getting security into your quality and safety engineering plans
Partner session - Senior representative - TBA
- Ensuring your engineers are delivering high quality products
- How to make security and safety an aspect of quality engineering
- Strategies to embed security and safety to engineering as a perception of quality assurance
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14:10
Group discussion: Tackling cultural challenges and changing paradigms
- Building a successful DevSecOps culture for your business
- Moving away from a siloed approach and breaking down the “us-versus-them” attitude
- Shifting the mindset that security slows down development and needs to be built in at the end
- Successful ways to incorporate security into development from the get-to
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14:55
NETWORKING BREAK
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15:10
Group discussion: Getting your engineering team engaged in software and infrastructure
During this interactive session, our expert moderator will turn to the audience to discuss how much engineering teams across organisations are involved in building software vs. how much they should be. Join us and share your thoughts, ideas and concerns around the security challenges associated with software and infrastructure, the challenges of building it in the blockchain – and ideas to overcome them.
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15:35
Shifting Left – How far could we go, and could we go all the way with it?
- How shifting left can improve efficiency of your DevOps and address security at every stage of the production process
- Defining what DevOps needs security to do
- Could we go all the way with shifting left?
- Successful ways of integrating security throughout the entire process
- Overcoming challenges of policies for compliance
- SAST vs. DAST – what are the differences and how to combine them
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16:00
Wrap-up group discussion: Influencing behavioural economics & psychologies
When building great user experience design, how can engineers and security leaders design great experienced in the lead to high compliance? How can they affect behavioural economics and behavioural psychology? How can they help users, develops, and end-users to behave the right way? Join this expert-moderated session to answer these – and many other – questions along with your peers.
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16:35
Closing remarks
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16:40
End of DevSecOps Focus Day
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16:45
Pre-Conference Cocktail Reception & Networking
-
18:00
CISO Sydney 2023 Pre-Conference VIP Dinner
Not Found
-
07:20
VIP Breakfast – Invite only
-
08:20
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
-
08:50
Welcome from Corinium and the Chairperson
-
09:00
Ministerial Keynote: Australian Government & Industries partnering up to tackle the talent gap through skills and training
The Hon. Brendan O’Connor - Minister for Skills and Training - Australian Government
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09:25
Emotional intelligence for cybersecurity leaders
Partner session - Senior representative - TBA
A CISO role goes far beyond a technical information assets and technology security role. With increased demand for risk, compliance, and governance skills, their role continues to evolve and require executive management capabilities. During this session, we will unveil a simple powerful process to awaken CISOs leadership and life skills.
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09:50
Keynote: Embracing cybersecurity in 2023 – Building an effective program
Maryam Bechtel - CISO - AGL
- Successful practices combining cybersecurity and data protection to comply with increased data privacy regulations
- How to adopt secure digital identity and mitigate privacy rights risks
- Embedding the necessary protections into your identity verification systems
- Implementing architecture systems that reduces overcollection during identity verification
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08:00
NETWORKING BREAK
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
12:00
Lunch
-
Track A
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
08:00
NETWORKING BREAK
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
Track B
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
-
09:50
How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
Sergio Rego - AI Customer Engineer - SambaNova Systems
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Not Found
-
08:00
DAY 3 REGISTRATION
-
09:50
Fireside Chat: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
-
09:55
Group Discussion: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
-
10:00
Panel Discussion: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
-
10:05
Solutions Clinic: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
- -
In the highly competitive age of digital transformation financial service organizations are facing accelerated urgency to improve their customer and employee experience while simultaneously reducing operating costs, and managing risk and compliance.
To meet these competing demands on their business, these organizations are racing to deploy deep learning to achieve a new competitive edge by optimizing their back office operations with intelligent document processing, personalizing their customer experience with cutting edge NLP models, and reducing fraud and risk using state-of-the-art deep learning.
AI is here and delivering new capabilities to help businesses solve large and complicated challenges. Join Bob Gaines to learn what that means for your business and how deep learning is helping organizations:
• Achieve higher compliance, faster and with lower costs • Dramatically improve Customer Experience • Reduce time to value from years to weeks
Sergio Rego is a customer engineer at SambaNova Systems where he helps clients deploy purpose-built, deep learning solutions in weeks rather than years. Sergio started his career in financial services, where he worked in strategy; active and index management; and product design and management. Sergio also served as a senior data scientist and team manager for a system integrator where he helped federal government agencies deploy ML and AI solutions.
Speaker 1
Speaker 2
Speaker 3
Not Found