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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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08:50
Welcome from Corinium
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08:55
Chair's Opening Remarks
Dr. Ir. Charles Lim - Deputy Head Master of IT Program - Swiss German University
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09:00
Opening Fireside Chat
Driving Digital Transformation Through Data: Navigating the Data-Driven Future- Focusing on the importance of ensuring responsible AI practices while harnessing the power of machine learning and data analytics
- Building a data-driven culture to drive digital transformation and achieve long-term success
- Translating data-driven insights into tangible action is key to realizing the full potential of digital transformation initiatives
Speakers
- Adinata Widia, Technology Ops & Product Director, Batumbu (Validus)
- Juan Intan Kanggrawan, Chief Advisory (Transformation & Digital Solutions), ilmuOne Data
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09:25
Building Real-time Next Generation AI Applications with Confluent
Engin Cukuroglu - Manager – Solution Engineering - Confluent
- Understanding your maturity level
- Why is it important to move up the scale?
- Creating a data maturity framework for your organisation
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09:50
Modernisation Panel
Unlocking the Power of Data: Navigating the Path to Modern Data Infrastructure- Discussing strategies for building scalable and flexible data infrastructure to adapt to changing business needs
- Delving into best practices for data storage, integration, and governance to ensure effective data management
- Highlighting the importance of leveraging technologies such as AI and ML for predictive analytics, real-time insights, and automated decision-making processes
Moderator
- Shanmuga Sunthar Muniandy, Director of Architecture & Chief Evangelist, APAC, Denodo
Panellists
- Juan Intan Kanggrawan, Chief Advisory (Transformation & Digital Solutions), ilmuOne Data
- Muhammad Imran, Head of Data Division, MNC Financial Service
- Bima Tjahja, SVP of Data, Bukalapak
- Luthfi Auzan, VP - Head of Strategic Operations & Analytics, Indosat
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10:30
Privacy in the Age of AI and Analytics: Mastering Data Protection with Tokenisation
Mark Tritaris - Data & AI Evangelist - Protegrity
In the AI-driven world, data protection is paramount. This session explores how tokenisation can safeguard sensitive data from the moment it's collected, ensuring compliance with privacy laws and enhancing security. Discover how early data protection strategies can prevent data incidents, limit access to critical information, and maximise data utility, all while navigating regulatory challenges.
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10:55
Coffee and Connect
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11:25
Governance Panel
Charting the Path to Ethical and Effective Data and AI Governance- Exploring the development and implementation of ethical AI governance framework
- Examining the challenges to ensure that AI systems make ethically sound decision
- Ensuring delicate balance between AI Governance and fostering innovation
Moderator
- Mohammad A. Soetomo, Lecturer, Swiss German University
Panellists
- Rendy Bambang Junior, VP of Data, Evermos
- Adinata Widia, Technology Ops & Product Director, Batumbu (Validus)
- Muhammad Suhada, Director & CTO, MNC Financial Service
- Rajesh Grover, Group VP – AI, Digital & Omnichannel, Kanmo Group
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12:05
Navigating Data Analytics in the Public Sector: Challenges and Opportunities
Putri Wikie Novianti - Head of Data Analytics Team - GovTech Edu
- Exploring the contrasting focus between the private sector's emphasis on revenue-generating insights and the public sector's prioritization of data quality and data integration
- Addressing the unique coordination and bureaucratic hurdles faced in the public sector
- Emphasizing the role of data analytics in both product analysis and driving regulatory processes, from planning and formulation to implementation
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12:30
Empowering Organizations through Data Democratization
Bima Tjahja - SVP of Data - Bukalapak
- Examining strategies for breaking down silos and fostering a culture of data sharing and collaboration
- Empowering non-technical users to harness the power of data analytics with the growing demand for data-driven insights
- Exploring strategies for promoting data literacy and accessibility across the organization
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12:55
Connect, converse, & lunch
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TRACK A
Data-Driven Growth -
13:55
Top Tips to Get Your Data AI-Ready
Melvin Cheong - Sales Engineer - Precisely
AI can elevate your business to the next level of data intelligence, but research shows that only 4% of businesses believe their data is AI-ready. To ensure AI results you can trust, you need accurate, good quality data underpinning it. In this presentation, we’ll explore:
- The impacts of delivering data that is not AI-ready
- The essential data governance & quality considerations that will set you up for AI-success
- Practical solutions to common AI challenges such as AI bias, and lack of contextual relevance
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14:20
Leveraging Time Analytics for Cost Optimization and Revenue Growth
Edwin Simjaya - Head of Artificial Intelligence (AI) & Software Center - Kalbe Digital Lab
- Optimizing operational efficiency with time analytics by analyzing time-related data such as process cycle times, service delivery times, and resource utilization patterns
- Enhancing revenue generation through timely insights to unlock new revenue opportunities and maximizing existing ones
- Striking the right balance between speed and cost-effectiveness in product development and innovation
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14:45
Master Data's Crucial Role in the Age of AI
Manning Bartlett - Solution Director APAC - APGAR
AI is transforming all aspects of business, but poor quality data can cause AI to go terribly wrong. This presentation will give examples of some truly disastrous AI results caused by poor quality data, and showcase how the Semarchy Data Platform can help you achieve maximum success with your AI initiatives.
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15:10
The Challenges to Autonomous AI: Moving from Diagnostics to Predictive Modelling
Dr Eka Budiarto - Head of Master of Information Technology - Swiss German University
- The different challenges on building diagnostics analytics and predictive analytics
- Managing the complexity factors of predictive analytics development
- Common architectural considerations in predictive analytics
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TRACK B
New Innovations -
13:55
Modern Data Management in the AI Era
Dan Hein - Chief Architect APJ - Informatica
Join us at CDAO Indonesia to explore Modern Data Management in the era of AI with Informatica Chief Architect APJ, Daniel Hein. Discover the key considerations and insights driving success in this dynamic landscape.
In this presentation, we will delve into three essential themes:
- Enabling Successful AI Initiatives with Modern Data Management: Learn why 93% of CDOs consider a robust data strategy crucial for unlocking the total value of generative AI.
- Emerging Gen AI Best Practices and Use Cases: unlocking new possibilities for your organization
- Generative AI Data Management: See how Gen AI data management turbocharges data democratization, exponentially increasing the productivity of data teams.
Don't miss this opportunity to gain valuable insights and strategies for navigating the complexities of data management in the AI era.
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14:25
AI and Analytics in Agriculture: A Case Study
Rifan Kurnia - VP of Technology & Data - eFishery
- Explore how agriculture utilizes AI algorithms to optimize farm operations and enhance efficiency for chicken farmers
- Discover how AI algorithms analyse market trends, consumer preferences, and production data to identify optimal pricing strategies and match farmers with buyers seeking high-quality products
- Harnessing the power of data insights to drive continuous innovation and product development and how is this applicable in other industries
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14:45
Navigating Unstructured Data: A CDO's Roadmap to GenAI Success
John Cunningham - VP & GM APAC & Middle East - Securiti
Unstructured data has emerged as a central focus in the GenAI era, offering remarkable opportunities to boost growth and secure a competitive edge. However, this data also presents significant challenges for Chief Data Officers (CDOs) tasked with its effective governance. Traditional tools prove insufficient for managing unstructured data, necessitating new, unique capabilities to leverage dat in GenAI applications.
Key questions include:- How can we discover, classify, and catalog unstructured data?
- Which users have access to sensitive data within unstructured datasets?
- What measures can prevent the exposure of sensitive information?
- Is the data relevant, current, and free from duplicates?
- Which policies and regulations are applicable to unstructured data?
- How do we trace the provenance of data from unstructured data systems to GenAI models and endpoints?
Join John Cunningham (Vice President & General Manager APAC and Middle East, Securiti) as he explores how CDOs can adopt a comprehensive approach to unstructured data management, safely unlocking its potential and effectively operationalizing GenAI.
Key takeaways:- The rise of unstructured data in the GenAI era
- Privacy implications in GenAI
- Challenges faced by CDOs in governing unstructured data
- New governance capabilities required to harness unstructured data for GenAI applications
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15:10
Driving Business Transformation through Data Platform Innovation
Farika Maharani - SERA Data Platform Department Head - Serasi Autoraya
- Discussing how Serasi Autoraya's data platform has enabled the company to gain deeper insights into customer behavior and preferences
- Highlighting specific use cases where data-driven decisions have led to improved customer satisfaction and loyalty
- Sharing strategies for aligning data platform initiatives with customer-centric goals
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15:35
Coffee and Connect
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16:05
Panel Discussion
Unlocking the Value of Data- Crafting a data strategy for competitive advantage – essential components of successful data strategy
- Understanding the opportunities and challenges at monetising data assets, taking data privacy, security, and regulations into account
- Examining how organizations can leverage data monetization initiatives to drive business transformation and create new revenue streams
Moderator
- Dr Eka Budiarto, Head of Master of Information Technology, Swiss German University
Panellists
- Hermawan Kristanto, Head of Big Data & AI, Smartfren Telecom
- Rifan Wibianto, BI Analytics Lead, Matahari Department Store
- Abdur Razzaq, Head of Business Planning & Performance Management, Maybank Indonesia
- Handika Hakim, Head of Business Analytics,Bank Negara Indonesia
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16:50
Chair's Closing Remarks
Dr. Ir. Charles Lim - Deputy Head Master of IT Program - Swiss German University
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16:55
CDAO Cheers with Peers
Reception & Networking - Continue the conversations in a fun and entertaining way
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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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