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Conference Schedule
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08:20
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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08:55
Welcome from Corinium and Chairperson Opening Remarks
Iris Abustan-Alfonso - Director - Data Management - COPELAND
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09:00
Speed Networking - Making new connections at CDAO Philippines!
During this 5-minute networking session, the aim of the game is to go and meet three people you don’t already know. Say hello to peers old and new!
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09:05
Fix the Data, Fix the Strategy: Rebuilding the Foundations for AI and Analytics
Catherine Balle - Vice President - Data Management Office - East West Banking Corporation
- Tackle the root causes of poor data quality rather than treating the symptoms.
- Bring consistency to data ownership, governance and management
- Prioritise foundational improvements without slowing innovation
- Prepare data environments for AI, automation and advanced analytics
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09:30
Scalable AI Value, Built on Data Readiness
Savio Mascarenhas - Senior Presales Solutions Consultant – Enterprise - Boomi
Skip the foundation, and scale just amplifies the cracks.
Most AI programs don't fail at the model — they fail at the data underneath it. Fragmented sources, ungoverned pipelines, and inconsistent master data don't disappear when you scale AI; they multiply. Every agent, every use case, every new deployment inherits the same structural weaknesses, only faster and at greater cost.
Data readiness isn't a prerequisite to check off before the real work begins — it's the operating discipline that determines whether AI value compounds or collapses under its own weight. Organizations that treat governance, data quality, and trusted data foundations as the starting point don't just deploy AI faster. They deploy it in a way that holds up as it scales.
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09:55
Panel Discussion
How is AI Transforming Access to Data? A Strategic Conversation in Enabling a Data–Forward Enterprise.AI is transforming how organisations access, understand, and act on data, shifting from traditional dashboards and reports to intelligent, conversational experiences. As businesses strive to become more data-forward, leaders must balance greater accessibility with strong governance, security, and trust. This discussion explores how AI is breaking down barriers to data, empowering employees with real-time insights, and reshaping decision-making across the enterprise.
- How can data leaders translate AI potential into tangible business outcomes that align with strategic goals?
- Breaking down data silos: What role does AI play in connecting fragmented data ecosystems?
- Modernise legacy data environments to improve scalability, governance, and operational agility across the organisation.
Moderator
Ashis Patwary Senior Director – Business Development Tiger AnalyticsSpeakers:
Jay Manahan VP – Head of Data Science and Advanced Analytics MetrobankMyk Ogbinar Head of Data and Analytics San Miguel Group
Ankit Jain Head – Lending Strategy UnionDigital Bank
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10:30
Morning Coffee and Connect
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11:00
Panel Discussion
Are You Ready for Agentic AI? Rethinking Readiness, Strategy and Data FragmentationSuccessful AI transformation requires more than technology investment. Organisations must align data, leadership, governance, talent, and business processes to unlock real growth. Many organisations remain stuck with fragmented data, stalled AI pilots, and technology investments that don’t translate into revenue impact. This panel will explore the ability to connect data, AI, and business strategy into a single, commercial engine.
Moderator
Iris Abustan-Alfonso
Director - Data Management
COPELAND
SpeakersEdcel A.
Data and Impact Assessment Director Teach for the Philippines
Devendra Pratap Singh
Chief Information Officer Atlantic, Gulf and Pacific Company (AG&P)Patricia Manasan Head of AI Execution and Innovation Security Bank Corporation
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11:35
MDM: The Cornerstone of the Agentic Enterprise
Asheque Mainuddin - MDM Specialist Practice Leader - Informatica from Salesforce
The agentic enterprise runs on trusted context, and intelligent MDM is the engine. With trusted context and proactive governance as the fuel for your data consumers and AI agents, this session will unveil the innovations in agentic MDM, 360 applications and industry solutions that transform master data into your greatest AI-ready asset.
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12:00
Governance That Accelerates Innovation: Rethinking Data & AI Governance in Modern Enterprises
Melecio Valerio - Head of Data Governance, Group Technology - Maya
- Embedding governance into workflows, platforms, and operating models.
- Balancing self-service, agility, and control through guardrails.
- Building trusted, AI-ready data foundations for scalable innovation.
- Cultural transformation and creating shared accountability for data.
- Governance as an enabler of AI and digital transformation.
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12:25
AI Doesn't Know When It's Wrong: Here's How You Can
Stu Garrow - VP Sales Asia Pacific - Precisely
AI has become a boardroom priority, yet many organisations struggle to move beyond pilots and proofs of concept. The reason often isn't the technology, it's that their data isn't ready to support it. And now, with AI agents that make decisions and act on their own, the stakes for getting the data foundation right have never been higher. Ungrounded AI doesn't fail loudly; it answers confidently and incorrectly, making trusted data more critical than ever.
This session will explore why visible, high-quality, governed, and enriched data is the critical foundation for successful enterprise AI initiatives. Drawing on real-world examples, Stu will show how organisations can improve data quality and accessibility, enrich records with location intelligence, and strengthen data governance to accelerate AI adoption, reduce risk, and deliver more reliable, measurable outcomes. -
12:50
Networking Lunch
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14:05
Joint Presentation
Modernising your data estate for agentic AIDella Zhuang & Vikram Tandon - VP of Growth / Director - Emisha & Ataccama
Most enterprises have spent the last several years modernizing their data estates, moving workloads into platforms built for scale and speed. That investment was never designed to answer the question enterprises are asking now: Is this data trustworthy enough for an autonomous agent to act on without a person checking its work?
In this session, Ataccama and Emisha will walk through the Modern AI Stack Blue—the complete five-layer architecture diagram—and explain why most enterprises are building Layers 1, 2, 4, and 5 while skipping the one that determines whether agents can operate reliably. This session will also cover how to structure a Data Trust Layer so AI agents can proceed, pause, or escalate based on certifiable quality signals, not assumptions.
Speakers
Della Zhuang VP of Growth Ataccama
Vikram Tandon Director Emisha
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14:30
Interactive Keynote
Data Leaders - Are We Asking the Right Questions?Louise Castillo - Director – AI Product Owner - Standard Chartered Bank
Data leaders are under increasing pressure to deliver business value, build trusted data foundations, enable AI and manage risk — often while navigating fragmented systems, competing priorities and changing expectations. But are we asking the right questions, or relying on familiar assumptions that no longer serve us? In this interactive session, we’ll challenge the beliefs shaping how organisations approach data strategy, quality, governance, interoperability, AI adoption and value creation. Through live audience polls and an open discussion, we’ll question conventional thinking, explore where common approaches fall short, and consider whether we’re solving the right problems in the first place.
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14:55
Fireside Chat
Championing Privacy, Protecting Data & Powering GrowthAs data becomes the backbone of AI, innovation, and digital growth, organisations are under increasing pressure to protect it without slowing its use. Yet many still struggle with fragmented governance, inconsistent privacy practices, and rising regulatory expectations that outpace their operating models.
This panel explores how leaders can move beyond compliance-led thinking to build privacy and protection into the core of their data strategy.
Speakers:
Francis Adrian Viernes
Senior Assistant Vice President, Data Science, Analytics, Business Innovation and Transformation
Megaworld CorporationMyk Ogbinar
Head of Data and Analytics
San Miguel Group -
15:30
Afternoon Coffee and Connect
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16:30
Interactive Session
Governing AI at Scale — Balancing Innovation, Implementation & RiskJek de Chavez-Hermida - Director - Enterprise Data and Intelligence - Cebu Pacific Air
AI governance is full of difficult decisions, and this session puts those decisions in the hands of the room. Through live Slido polls, audience challenges and candid discussions, participants will have their say on who owns AI risk, what responsible implementation looks like and how organisations can balance innovation with accountability. Expect contrasting perspectives, real-world dilemmas and an open conversation shaped by the people in the room.
Facilitators
Jek de Chavez-Hermida Director – Enterprise Data & Intelligence Cebu Pacific Air
Kashmira George Conference Director Corinium Global Intelligence
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16:45
The Data Leader’s Blueprint: Architecture, Governance, and Risk on a Scalable Platform
Melanie Oteyza - Senior Vice President and Group Chief Audit Executive - MERALCO
- Embed governance frameworks that ensure consistent data quality, ownership, and accountability across the organisation.
- Strengthen risk management by aligning data, privacy, and security controls within a single operating model.
- Enable platform scalability that balances agility and control, allowing innovation without compromising compliance or trust.
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17:10
Chair Closing Remarks
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17:15
CDAO Cheers with Peers!
Unwind, connect, and swap stories with fellow data leaders over drinks. Expect candid conversations and great company in a relaxed setting.
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CLOSE OF CDAO PHILIPPINES 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
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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.
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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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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.
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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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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
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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
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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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10:00
Panel Discussion: How Deep Learning is Unlocking a $362B Value Creation Opportunity in Financial Services
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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
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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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