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Main Conference Day One
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08:00
Register; grab a coffee. Mix, mingle and say hello to peers old and new.
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09:10
Corinium's and Chair's Opening Remarks
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09:20
Opening Keynote
From Data-Ready to Future-Ready: Leading with Confidence in the AI AgeDr Irvan Bastian Arief - VP of Technology GRAND, Data & AI - Tiket.com
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How leaders can drive organisational alignment to treat data as a strategic asset, not an afterthought
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Building trusted, accurate, and well-governed datasets that form the foundation for advanced analytics and AI
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Preparing infrastructure, talent, and processes to leverage emerging AI capabilities at scale
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09:45
AI Agents in Every Workflow: Turning Enterprise Data into Decisions with Snowflake
Adrian Lee - Manager Solution Engineering - Snowflake
Most GenAI projects stall at demos because agents aren’t wired into real data and workflows. This shession shows how to design enterprise-ready AI agents on Snowflake that reason over governed data, call tool, and embed directly into business processes. We’ll cover a simple blueprint for choosing the right workflows, unifying structured and unstructured data, and safely scaling agents across cloud and hybrid environments.
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10:10
Foundations of Intelligence: Scaling Public Service through Data Integrity and Regulation
Putri Wikie Novianti - Head of Data Analytics Team - INA DIGITAL Edu, Perum Peruri
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Quantifying the Invisible Leak - Identifying how poor data quality drives hidden costs in the form of operational delays, compliance risks, and degraded citizen experiences
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Architecture of Quality: Lessons from the Field - Showcasing how we have successfully reduced "data debt" through some use cases above (namely: SIPLah, ARKAS, and National Data Sync)
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The ROI of Data Readiness - (i) Demonstrating the return on investment: Faster decision-making, significantly reduced manual intervention, and high-fidelity AI outcomes. (ii) Public Service Impact: Mapping how each tribe's data health directly improves the speed and reliability of services for citizens.
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Securing Executive Buy-In & Regulatory Alignment - (i) Linking data quality investments directly to institutional growth and risk mitigation. (ii) The Regulatory Success: Highlighting how our internal data initiatives have successfully influenced Echelon-level policy, culminating in formal government regulations.
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10:35
COFFEE & CONNECT
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11:10
Governance Panel
Beyond the Playbook: Rethinking Governance for Scalable and Responsible Innovation-
How are leaders operationalising data governance frameworks that don’t just exist on paper, but actively influence how teams build and deploy models?
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What role should automation, tooling, and model monitoring play in scaling governance across rapidly growing AI portfolios?
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How are organisations balancing speed-to-market with the need for transparency, fairness, and regulatory compliance in data and AI systems?
Moderator
Dr. Eka Budiarto Head of Master of Information Technology Swiss German University
Panellists
Ni Made Sunarti SVP - Data Management and DPO Head CIMB Niaga
Juan Intan Kangrawan Advisor & Strategist, Data Analytics Jakarta Smart City
Dr. Fandhy Haristha Siregar Head of Cybersecurity Governance & BISO FWD Insurance
Muhammad Imran Head of Data Division MNC Financial Service
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11:50
Trusted Context: Context is the New Currency
Daniel Hein - Chief Architect, APJ - Informatica from Salesforce
Imagine a world where every system, workflow, and AI agent in your company operates from a single, shared source of truth—where every piece of data is fully understood in its real context. This is the power of Trusted Context, the foundation that transforms raw data into actionable intelligence and drives smarter, faster decisions. In this session, you’ll learn how Informatica, now part of the Salesforce family, is helping leading companies like Takeda and Holiday Inn build this new standard for intelligent enterprises. We’ll walk you through a practical blueprint to create your own trusted context, deeply integrating world-class data management with the platforms where your business runs.
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12:15
Ask in Plain English, Get a Trusted Answer: The Leader's Guide to NLP-to-SQL
Irwan Mulyawan - Lead of Data Analytics - ex-Bytedance
- Plain Language to data questions: Business users ask questions in plain English, and the system translates them into the right data questions (SQL) without needing them to know tables, joins, or metrics definitions.
- Trust built-in: Metric definitions, accuracy and guardrails are embedded to keep outputs reliable and compliant.
- Real impact: Faster decision cycles, less back-and-forth with analysts, and higher adoption of self-serve analytics across teams.
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12:40
Dealing with the AI Explosion: Turning Hype into Measurable AI Success
TC Gan - AVP, Customer Solutions, APJ - Dataiku
While Generative AI revolutionized content creation, AI Agents are now transforming core operations: from orchestrating intricate supply chains to automating sophisticated risk assessments and real-time resource optimization. The "AI explosion" has reached a tipping point. To survive in 2026, organizations must shift from treating AI as a series of experimental silos to managing it as a governed enterprise utility.
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13:05
LUNCH & NETWORKING
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14:15
The GenAI Reality Check: ROI, Roadblocks, and What’s Next for Business
Dr. Eka Budiarto - Head of Master of Information Technology - Swiss German University
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What have been the most unexpected outcomes—both positive and negative—from implementing Gen AI in live business environments?
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Where are enterprises seeing real ROI, and where are use cases stalling due to technical, cultural, or regulatory barriers?
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How are leaders evolving their AI strategies based on what’s worked, and what’s being deprioritised in Gen AI roadmaps?
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14:40
How Data is Turning Products into Innovation Catalysts
Lina Natalya - Head of Assessment - PT Semesta Integrasi Digital
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Scaling reusable, modular data assets to accelerate business initiatives
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Driving agility and faster insights through well-structured data products
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Aligning data strategies with organisational goals to unlock measurable innovation
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15:05
Behavioral Analytics in the Digital Era: Reinventing Psychological Assessment
Ayu Gunawan - CEO & Clinical Psychologist - Grouwell
- Measuring What Truly Predicts the Future: Grit as a Powerful Predictor
- Beyond Paper and Pencil: Building Modern Behavioral Data Infrastructure
- Reducing Bias in Psychological Assessment through Digital Measurement
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15:30
BRICS AI Governance comparison - What matters for Industry?
André Sarli - Postdoctoral Researcher - University of Airlangga
Every BRICS country is now building its own AI governance framework — and the differences matter for business. China has mandatory deepfake labelling, algorithm registration requirements, and binding generative AI rules already in force. India deployed 38,000+ GPUs under a USD 1.25 billion national AI mission while deliberately avoiding a binding law. Brazil's Senate passed an EU-inspired AI Act in December 2024. Russia operates regulatory sandboxes and state-backed LLMs built under chip sanctions. Indonesia — the newest BRICS member — has the OJK's banking AI framework as its most concrete rule, with binding legislation still pending.
This session cuts through the policy documents to what is actually operational: compute plans, local language models, deepfake rules, fintech frameworks, and regulatory sandboxes — and what Indonesian businesses need to watch in 2026–2028. -
15:55
Chair’s Remarks
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16:00
CDAO Cheers with Peers
Networking reception -
17:00
CLOSE OF CDAO INDONESIA 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.
-
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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