Chief Data & Analytics Officer Fall

Invitation-Only Lunch Roundtables for:

• Financial Services & Banking
• Insurance
• Retail & CPG

Speaker Meet & Greet

Speaker Meet & Greet

End of Industry Focus Day

Presentation: Progressing the Data-Driven Digital Transformation Agenda Post-Pandemic

• Next steps data leaders need to take to progress their digital transformation journey successfuly
• Accelerating cloud migration, AI and ML, while ensuring data integrity and data trust
• Maintaining a seat at the table for all of the digital transformation decision-making

Presentation: Cloud-Powered Transformation: Leverage Data as an Asset for Enterprise Growth

• Modernizing legacy infrastructures with cloud data platforms – what are the frameworks to evaluate the best cloud platforms for your organization?
• Integrating data lakes, data warehouses and analytics to scale business intelligence
• Laying the ground work to realize the benefits of a complete cloud transformation: from a siloed, limited, and retrospective data approach to a unified, real-time data strategy that fuels business transformation

Panel Discussion: Addressing AI Explainability, Trust and Ethics to Promote Positive Business Impact

• Ensuring that your Training Data is accurate, bias free and trustworthy
• Successful practices to tackle bias and improve model outcomes
• Promoting accountability for tracking and communicating the lineage of AI-driven outcomes and stress testing models

Speaker Meet & Greet

Collaboration Keynote: Data & IT - Key Elements of a Successful CIO and CDAO Partnership: Delivering Business Value

• A CIO and CDAO need each other to drive transformation in data and technology strategy
• How can CIOs and CDAOs develop a meaningful and high-performing partnership to deliver business value at scale?
• Aligning data strategy and technical architecture to ensure agility and business continuity
• Delineating responsibilities and synergy between both teams

Collaboration Keynote: Orchestrating and Scaling Data-Driven Customer Journeys to Innovate CX

• Leveraging advanced insights to understand customers’ needs, attitudes and behaviors
• Building a customer-centric data strategy to create a seamless, frictionless and connected experience
• Aligning data and AI initiatives with CX priorities
• Creating an agile architecture to scale and improve customer experiences

Presentation: How an Analytics Flywheel Can Generate Sustained “Insights” Momentum

• Define analytics digital transformation
• Examine the concept of an analytics flywheel
• Determine how the analytics flywheel has the potential to invigorate the business decision supply chain

Panel Discussion: Overcoming the ROI Challenge on AI & ML Initiatives to Secure Long-Term Investment

• Data analytics leaders have secured buy-in for AI & ML projects due to the promise of delivering agile insights and business value at scale
• While business stakeholders’ expectations are partly due to the AI hype, there is also a challenge of proving the real value of initiatives as fast as the business expect
• Is there a right balance between the emphasis on AI tools, technologies and models, vs ensuring teams spend enough time on measuring incremental value of AI projects?
• Balancing short-term wins with long-term success
• Key steps towards addressing and improving return on investment

Speaker Meet & Greet/ Speed Networking

Social Activity

Collaboration Keynote: Data & Marketing - Case Studies to Create a Customer-Centric Strategy

• Invesco’s CMO and CDAO have partnered to deliver data-driven customer-centric products across the enterprise
• Case study 1 - Fraud Analytics – with more and more digita products, there has been an uptick in fraud. The partnership developed AI products to counter remote-deposit (mobile deposit), account-take overs, and more.
• Case study 2 - Voice of Customer – Collecting data from various listening posts and identifying emerging trends for Marketing
• Case study 3 - Personalization and scaling of data products while protecting data

Jim Tyo, Chief Data Officer, Invesco
Emily Pachuta, Chief Marketing & Analytics Officer, Invesco

Presentation: Next-Generation Data Management – Augment Business Intelligence with Data Fabrics

• The increased adoption of hybrid cloud environments has added layers of complexity and cost to data management
• Intelligent data fabrics can revolutionize data management and the integration of multiple data sources
• Other benefits of intelligent data fabrics: from faster access via self-service and risk mitigation to automating operations
• How to progress the journey to a successful data fabric implementation to manage data collection, governance, integration, and sharing

Panel Discussion: Creating a Single Source of Truth: Data Integration – What does the Future Hold?

• How can data leaders ensure successful data cataloguing across data providers and build a data platform that can be used across the enterprise?
• Best practices to feed data to multiple platforms across different business units and user personas
• Is the single source of truth still the holy grail of data when we look to the near future? Is it still worth pursuing even with more widespread high-speed processing technology?

Vijay Venkatesan, Chief Data & Analytics Officer, Blue Cross Blue Shield NJ
Ishita Majumdar, VP, Data & Analytics Platform, eBay

Speaker Meet & Greet

Collaboration Keynote: Data & Technology - Modernizing IT Infrastructure to Boost Advanced Analytics at Scale

• How can a CDAO and CTO drive continued growth of digital platforms and connect all elements of operational technology with data strategy?
• Partnering to design an architecture that best supports agile decision-making enterprise-wide
• Laying the technology foundation to enable machine learning, artificial intelligence, and edge computing

Panel Discussion: Overcoming the Talent Gap in Data & Analytics

• The talent shortage in data analytics is a pressing challenge for leaders striving to advance their data-driven transformation agendas. What are some of the best ways to overcome this gap?
• Focused and targeted reskilling – leveraging existing employees’ skill sets to fill existing job openings
• The ideal make-up of your data analytics team – can technology replace any of your open roles combined with upskilling of existing talent?
• Strengthening partnerships with academia and the startup ecosystem to tap into the most relevant talent in the field

Presentation: What’s Next in Data Storytelling? Promoting Buy-In for Data Projects Enterprise Wide

• As businesses increase the demand for actionable insights, data scientists need to become proficient in data storytelling – the ability to translate the complexity of data into practical business solutions for different audiences
• Promoting a data science mindset business-wide: the importance of data literacy and how it relates to the data storytelling skillset
• What are the best practices to present information without injecting bias and cutting out the noise to ensure the key findings are presented in the most direct, succinct manner?
• How data & analytics leaders can upskill their data science teams to become experts in data storytelling

Speaker Meet & Greet

End of Day 3

Registration & Open Networking

Chairperson’s Opening Remarks & Ice Breaker

Presentation: Leveraging Data Analytics to Thrive in the Post-Covid-19 Economy

• Accelerating cloud migration, AI and ML, while ensuring data integrity and data trust.
• Maintaining a seat at the table for all of the digital transformation decision-making.
• Next steps data leaders need to take to progress their digital transformation journey successfully.

Presentation: Delivering Cloud Migration that Promotes AI & Analytics Innovation

• Migrating data to the cloud support AI and analytics by breaking down silos to give algorithms easier access to data and empowering AI teams with environments that facilitate quicker experimentation
• Best practices to uncover hidden data and map out the entire data ecosystem before cloud migration.
• Ensuring data privacy and security in the cloud.

Panel Discussion: What’s Next in Data Integration?

• How can data leaders ensure successful data cataloging across data providers and build a data platform that can be used across the enterprise?
• Best practices to feed data to multiple platforms across different business units and user personas.
• Is the single source of truth still the holy grail of data when we look to the near future? Is it still worth pursuing even with more widespread high-speed processing technology?
  
  

Mid-Morning Coffee Break & Networking

Presentation: Balancing Data Agility with Data Protection and Privacy

• Best practices to ensure data privacy and protection while providing the business with self-service data capabilities.
• Increasing data literacy through on-going internal education to empower stakeholders to make intelligent decisions.
• Building robust frameworks to manage data access while ensuring the right person has the right data at the right time.

Presentation: Accelerate Speed to Insights with AI & Low-Code Tools

• Empowering data users to create, consume and operationalize data-driven insights.
• Establishing a consumer-grade AI technology to deliver self-service.
• Integrating data apps with your existing cloud ecosystem to speed up data search from cloud sources.

Panel Discussion: The Journey to AI Explainability and Ethics – Promoting Trust and Effectively Managing AI Outcomes

• Ensuring that your Training Data is accurate, bias free and trustworthy
• Successful practices to tackle bias and improve model outcomes
• Promoting accountability for tracking and communicating the lineage of AI-driven outcomes and stress testing models

Afternoon Coffee Break & Networking

Panel Discussion: Metadata Management - Is It a Fad or Is It the Future?

• Many have dubbed metadata as “the new black,” but is this accurate?
• How to leverage metadata management to streamline data governance and ensure transparency
• Looking at the flip side including additional training requirements and value added for the business
• Moving the needle towards better metadata

Chairperson’s Closing Remarks

Entertainment, Drinks & Networking

Presentation: Building an Enterprise-Wide Data Strategy Driven By Business Outcomes

• Align data strategy with business strategy; creating a centralized data & analytics function to work with multiple business partners.
• Integrating data across systems to enable insights to be shared for holistic analysis.
• Modernizing legacy infrastructures with cloud data platforms.

Presentation: Future-Proof your Data Strategy in an Enhanced Privacy Era

• Recently legislation in California (CPRA) expands consumer data privacy rights to be more specific and protected, urging data & analytics leaders to comply in 2 years.
• How can data leaders prepare for national privacy legislation?
• What are the best approaches to build a system to the highest standards that will ensure compliance across the board?

Panel Discussion: Augmenting Data-Driven Business with Engineered Decision Intelligence

• Engineered decision intelligence is the next-gen of actionable business insights and has great potential to help organizations rethink how they optimize decision-making.
• What are the practical benefits of decision intelligence for businesses and how will it continue to evolve in the future?
• What are the foundational principles for sustainable decision models and how can organizations implement at scale?
  
  

Ishita Majumdar, VP, Data Analytics Platforms, eBay

Mid-Morning Coffee Break & Networking

Presentation: Making Sense of Omnichannel Data Points to Balance Efficiency with Quality in Customer Interactions

• Track data that holistically encompasses the customer's experience: responsiveness, satisfaction, and internal QA.
• Understand the interrelations of data points and how they impact each other to provide better experiences.
• Find ways to operationalize and "data-ize" the intangible and the ethereal.

Presentation: Leverage Agile Data Management & Model Management to Boost Innovation and Widespread Agility

• What are the best ways to build a data management strategy that minimizes disruption and promotes speed to market of data products?
• Effectively integrating high-quality governance while modernizing data platforms.
• Demonstrating the value of use cases with well-curated data and advanced analytics to ensure buy-in.

Panel Discussion: Upskilling, Reskilling, and Retaining Top Talent in Data & Analytics

• The talent shortage in data analytics is a pressing challenge for leaders striving to advance their data-driven transformation agendas. What are some of the best ways to overcome this gap?
• Focused and targeted reskilling – leveraging existing employees’ skill sets to fill existing job openings.
• The ideal make-up of your data analytics team – can technology replace any of your open roles combined with upskilling of existing talent?
• Strengthening partnerships with academia and the startup ecosystem to tap into the most relevant talent in the field.

Afternoon Coffee Break & Networking

Panel Discussion: Cloud Governance – Integrating People, Processes, and Technology

• As the amount of data that businesses manage increases exponentially, the complexity of regulations does too
• What are the best strategies for simplifying your cloud governance framework?
• How to save costs with cloud governance
  
  

Allen Thompson, VP Data & Analytics, Hanover Insurance

Closing Keynote: The Next Frontier in Real-Time Analytics – Future Proof Your Business

• Best practices in real-time analytics to guarantee success.
• Evaluating analytics solutions that are highly scalable, cost-effective and enables data consumers to quickly get to the ‘a-ha’ moment.
• Winning hearts and minds of key business stakeholders and building trust in real-time data-driven decision management.

Chairperson’s Closing Remarks

End of Event. Thank you and safe travels!