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Chief Data & Analytics Officer Fall

Accelerate Recovery & Transformation in Uncertain Times

CDAO Fall Virtual October 12-14, 2021: The Premier Virtual Summit for Data & Analytics Leaders
CDAO Fall Boston October 27-28, 2021: The Premier In-Person Summit for Data & Analytics Leaders

Explore Virtual Event Explore In-Person Event

CONNECT WITH DECISION MAKERS ON OUR LIVE VIRTUAL PLATFORM OR IN-PERSON 2 WEEKS LATER!

The must-attend 7th annual CDAO Fall 2021 is exclusively designed for the cutting-edge data & analytics leader, focusing on aligning data strategy with digital transformation, leveraging data analytics to increase business value; and spearheading a data-driven culture that utilizes data as an engine for growth.

 

Virtual

Online

Interact with content, peers, experts, and vendors from the comfort of your fuzzy slippers.

On cell, desktop, laptop, tablet broadcasting live:
October 12-14, 2021

Register Now: CDAO Fall Virtual

In-Person (1)

In-Person

Dust off your power suit and join us in person for live sessions, interactive networking, and a drink or two.

In-person event taking place in Boston, MA:
October 27 -28, 2021

Register Now: CDAO Fall Boston

 

2021 Agenda

12:00pm - 1:00pm EST

Invitation-Only Lunch Roundtables for:

  • Financial Services & Banking
  • Insurance
  • Retail & CPG

12:45pm - 1:30pm EST

Panel Discussion: Driving Impactful Digital Transformation in Financial Services with Data Analytics

  • The benefits of building a true digital ecosystem integrated with data-driven insights and high-impact data science
  • How to overcome challenges with compliance, data quality, and infrastructure
  • Delivering data transformation: best practices to radically change your operating models and drive business value
  • How to build trust and deepen customer relationships when the interactions are primarily digital
Todd James, SVP, Intelligent Automation, Fidelity
Michael Oppenheim, VP, Data & Analytics, Discover Financial Services
Deep Ratna Srivastav, SVP, Head of Digital Solutions, Franklin Templeton Investments
Jay Franklin, VP, Enterprise Data & Analytics, First Tech Federal Credit Union

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

  • Customer interactions and expectations have dramatically changed – how can data analytics better predict behaviors and help the business thrive in this new era?
  • Balancing the need to support agile short-term business goals with long-term strategy
  • What tech stack and tools are the most impactful for this new environment in insurance?

Joe Vellaiparambil, Chief Data Officer,
Equitable
Eugene Wen, VP, Group Advanced Analytics, Manulife Financial
Allen Thompson, VP Data & Analytics, The Hanover Insurance Group
Meetesh Karia, Chief Data & Technology Officer, The Zebra

Panel Discussion: Delivering Data-Driven Digital Transformation to Reignite Growth in a Post-Pandemic Economy

  • Covid-19 has created the opportunity to increase investment and innovate online channels, with a solid data intelligence strategy and tech stack to support
  • Enabling intelligent decision-making to understand consumer behavior data across multiple channels
  • Provide mass customization and personalized user experiences: products, offers, pricing, and experiences
  • Optimize forecasting; data-driven e-commerce and support profitable growth at scale

Suyu Hou, Director, AI/ML Platform Technology, Walmart
Patrick McGraw, Director, Analytics, North America, Colgate-Palmolive
1:30pm - 2:00pm EST

Presentation: Modernizing Data Governance to Deliver Business Value in Financial Services

  • What are the benefits Financial Services organizations can gain from modernizing data governance?
  • Best practices to shift from a defensive data management stance to a strategic and business focused approach
  • Accelerating data trust and consumption with high-quality data

Presentation: Improving Data Quality & Data Integrity to Enable Agile Business Decisions

  • Integrating data across multiple sources and ensuring integrity for scalable insights: pitfalls to avoid and successful use cases
  • How can you make sure that data governance doesn't stand in the way of business agility?
  • Leading cross-functional change management to ensure data quality & integrity across the business

Presentation: Enable Real-Time Data-Driven Marketing with AI and ML

  • Overcoming barriers to increase data integration and data visibility
  • Leveraging automation and machine learning to turn real-time data into actionable insights
  • Using data science to innovate products, improve customer experience, and uncover new business opportunities
2:00pm - 2:45pm EST

Panel Discussion: Balancing Data Agility with Data Protection and Privacy in a Highly-Regulated Industry

  • Best practices to navigate a highly-regulated environment and 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

Laks Meyyappan, SVP, Head of Analytics, Regions Bank
Mike Oppenheim, VP, Data & Analytics, Discover Financial Services

Panel Discussion: Balancing Data Privacy & Compliance with Hyper Personalization in Insurance

  • Consumers are embracing the data-in exchange-of-personalized-pricing trend, but at the same time, they question whether insurers can protect their data
  • How can insurers safeguard customer data and maintain compliance while delivering agile insights for personalization?
  • Balancing AI-driven self-service offers with the human touch – when should a human agent intervene?
  • Helping underwriters provide a more efficient service through augmented intelligence tools
Allen Crane, Head of Information Management & Chief Privacy Officer, USAA
Daniel Marzouk, SVP, Data Science, Aegis

Panel Discussion: Championing a Data-Driven Culture in Retail & CPG

  • Implementing a transformational data strategy by connecting data with business strategy and getting your data analytics team embedded into the business
  • Infusing more self-service BI in the data strategy
  • Promoting data literacy within the enterprise: what are the best models to help with widespread adoption?
  • How can you win buy-in to reinforce data initiatives?
Sean MacCarthy, Executive Director, Global Analytics & Segmentation, Claire's
Fred De Letter, Director, Enterprise Data Intelligence, Domino’s
Meenal Iyer, Senior Director, Enterprise Analytics & Data, Tailored Brands
2:45pm - 3:15pm EST

Speaker Meet & Greet


3:45pm - 4:30pm EST

Roundtable: Scaling AI and ML Effectively to Promote Innovation Across Business Lines

  • AI is revolutionizing how consumers and companies manage their finances
    Wh
  • at are some of the best use cases of AI and ML in banking? From chatbot assistants to fraud detection and task automation
  • How can organizations create an AI and machine learning group that is cross-enterprise and works with all business lines?
  • Promoting AI trust and ethics across the enterprise

Roundtable: Revolutionizing Insurance with AI & Advanced Analytics

  • How to measure and evaluate the impact of the most promising AI-driven initiatives
  • Creating new capabilities to optimize every function across the insurance value chain
  • From customer personalization to fraud prevention and claim program innovations, what are some successful use-cases of AI & advanced analytics in insurance?
  • Tackling scalability and building on successful use cases
Jerry Gupta, SVP, Digital Catalyst, Swiss RE
Satish Padiyar, VP, Data & Analytics Solutions, Blue Cross Blue Shield TX

Roundtable: Structuring High-Performing Data Analytics Teams to Increase Business Value

  • Align the analytics team mission and structure with your data strategy
  • Identify, upskill and retain internal talent
  • The ideal make-up of your data analytics team; what profile and skillsets do you truly need and how do you combine them to optimize performance?

Prabhu Chandasheckar, Director, Data Foundation, Management & Integration, Advanced Autoparts
4:30pm - 5:00pm EST

Speaker Meet & Greet


5:00pm EST

End of Industry Focus Day


9:00am - 9:30am EST

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
Bharti Rai, Chief Data & Analytics Officer, Novartis
9:30am - 10:00am EST

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

10:00am - 10:45am EST

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
Celeste Fralick, Chief Data Scientist, McAfee
Haroon Abbu, VP, Digital, Data & Analytics, Bell & Howell
Dan Power, MD, Data Governance, Global Markets, State Street
Sean Otto, Director, Analytics, AES
10:45am –11:15am EST

Speaker Meet & Greet


11:15am – 11:45am EST

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

11:45am – 12:15pm EST

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

Presentation: How Doordash Delivers on Data: Reducing Risk and Achieving Compliance

Attend this session to learn how DoorDash partners with BigID to proactively leverage data classification to protect sensitive data for compliance, security, and analytical programs. You’ll learn how Doordash:

  • Manages and protects high volumes of restricted and sensitive data
  • Leverages machine learning and next-gen data classification to get visibility and control over their data
  • Balances multiple global regulatory requirements across their environment
  • Automates data management across different vendors, sources, and types

    Akshat Nair, Engineering Manager, Doordash
12:15pm – 1:15pm EST

Speaker Meet & Greet (12:15pm - 12:45pm EST)

Invite-only Roundtable (12:15pm - 1:15pm EST)

Senior Representative, Pyramid Analytics

1:15pm –1:45pm EST

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
Jose A. Murillo, Chief Analytics Officer, Grupo Financiero, Banorte
1:45pm – 2:15pm EST

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

2:15pm – 3:00pm EST

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
Besa Bauta, Chief Data Officer, MercyFirst
3:00pm – 3:30pm EST

Speaker Meet & Greet/ Speed Networking


3:30pm – 4:15pm EST

The CDAO Function – What Organizational Structure is Best for Success?

  • What are the pros and cons of the CDAO function sitting within IT vs. other organizational structures?
  • What reporting lines have proven to offer CDAOs the most exposure to the business, the most freedom and the greatest opportunities to influence and have an impact?
  • How can leaders mature their strategic position in order to maintain a seat at the table,ultimately reporting directly to the CEO?
Olga Sudvarg, Chief Operation Officer, Global Head of Data Advisory, Invesco
Krish Karuturi, Sr Director, Computational Sciences, The Jackson Laboratory, USA

Hybrid Cloud – A Bridge to Full Cloud Adoption

  • Cloud migration is a complex and long-term endeavor, and most businesses are still a long way from cloud-only deployments
  • What are the best practices to avoid common data management and governance pitfalls when investing in the cloud?
5:00pm EST

Social Activity


9:00am – 9:30am EST

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


9:30am – 10:00am EST

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

10:00am – 10:45am EST

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


10:45am –11:15am EST

Speaker Meet & Greet


11:15am – 11:45am EST

Presentation: Data-Driven Revenue Generation: Boosting Sales Effectiveness with AI-Powered Insights

  • How are cutting edge organizations deploying AI and advanced analytics to advance sales growth, efficiency, and effectiveness?
  • Specific use-cases from demand forecasting, lead generation, customer lifetime value, dynamic price setting and more
  • Designing and deploying AI-driven sales solutions: foundational steps and key elements of success to achieve data-driven revenue
Amarnath Lingam, Head of Enterprise Advanced Analytics & Data Science & AI, CDW

Presentation: Leveraging Data Insights and IoT to Drive Business Innovation

  • Transforming IoT event streams into business-ready data to derive actionable insights
  • Automating business processes with intelligent robotic process automation
  • Identifying opportunities for innovation and business transformation with IoT data
Michael Cavaretta, Head of Manufacturing Analytics, Ford
11:45am – 12:15pm EST

Presentation: Automate Data Access on the Cloud and Empower Data Teams to Accelerate Delivery

  • How can data analytics leaders balance three competing priorities: harnessing, regulating and protecting data, while fostering agile insights with self-service?
  • Enabling full transparency on the relevant data assets with secure and compliant data access
  • Fostering collaboration between data teams to accelerate productivity
Senior Representative, Immuta

Presentation: Leveraging BI to Support Business-Critical Workflows

  • Providing business users with relevant and contextualized metrics to support their personal and team-based workflows
  • Most effective ways to manage a global enterprise BI environment
  • Best practices to increase user engagement and generate ROI on your BI spend

Senior Representative, Denodo

12:15pm – 1:00pm EST

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

1:00pm –2:00pm EST

Speaker Meet & Greet

Invitation-Only Lunch Roundtable

2:00pm – 2:30pm EST

Presentation: Building Trust and Accelerating your AI Journey with DataOps and MLOps

  • Digital transformation and leveraging AI requires organized and trusted data that is business-ready for analytics and model building
  • Leverage the power of automation with DataOps to deliver trusted data throughout your organization
  • Increase data management efficiency, such as accessing, onboarding, preparing, integrating and making data available
  • Organized unstructured and structured data to be trusted and business-ready for AI

Senior Representative, Metric Insights

Presentation: What does NLP Mean for Augmented Analytics & Data-Driven Business?

  • How can NLP be used by augmented analytics platforms to expand data visualization and build a data-driven culture?
  • Coupling NLP with ML to automate insights
  • Promoting NLP adoption to non-technical business users, allowing data analysts to focus on more complex and sophisticated problem-solving
2:30pm – 3:15pm EST

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
Eileen Vidrine, Chief Data Officer, United States Air Force
Justin Smith, Senior Director, Advanced Analytics, St. Luke's Health System
Siva Kumpatla, Global Leader, Data Science, Corteva
3:15pm – 3:45pm EST

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

3:45pm – 4:15pm EST

Speaker Meet & Greet


4:15pm –5:00pm EST

Championing Diversity, Equity and Inclusion in Data Analytics

  • Aligning the organization around a diversity mindset in hiring, training, and retaining data & analytics talent
  • Structuring diverse career paths to retain top talent
  • Nurturing young talent to ensure diversity; partnering with organizations and academia for long-term results
Jared M. Nunes, Executive Director, Informatics & Analytics, MemorialCare

The Journey To Data Democratization: Enabling a Real-Time Enterprise

  • Organizations today are beyond the point of too much data, and often with too few insights
  • How can data analytics leaders leverage AI to promote widely accessible data for real time business decisions?
  • While there are no plug-and-play solutions to data democratization, what are the technologies that currently present the best value proposition?
Jim Tyo, Chief Data Officer, Invesco
5:00pm

End of Day 3


8:00am – 9:00am EST

Registration & Open Networking


8:45am – 9:00am EST

Chairperson’s Opening Remarks & Ice Breaker


9:00am -9:30am EST

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.

9:30am -10:00am EST

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.

10:00am – 10:45am EST

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?

Victoria Gamerman, Global Head of Data Governance and Insights, Boehringer-Ingelheim
Krishna Karuturi, Senior Director, Computational Sciences, The Jackson Laboratory
10:45am –11:15am EST

Mid-Morning Coffee Break & Networking


11:15am – 11:45am EST

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.

11:45am – 12:15pm EST

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.

12:15pm - 1:00pm EST

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
Laks Meyyappan, VP, Data Science, Retail, CVS Health
Dan Power, MD, Data Governance, Global Markets, State Street
1:00pm –2:00pm EST

Additional details to follow

Additional details to follow for invitees shortly.

2:00pm – 2:45pm EST

The CDAO Function – What Organizational Structure is Best for Success?

  • What are the pros and cons of the CDAO function sitting within IT vs. other organizational structures?
  • What reporting lines have proven to offer CDAOs the most exposure to the business, the most freedom, and the greatest opportunities to influence and have an impact?
  • How can leaders mature their strategic position in order to maintain a seat at the table, ultimately reporting directly to the CEO?

Amarnath Lingam, Head of Enterprise Advanced Analytics & Data Science/AI, CDW
Stephen Gatchell, Head of Data Enablement, Bose Corporation

How is The Hybrid Cloud Transforming Data Strategy?

  • Cloud migration is a complex and long-term endeavor, and most businesses are still a long way from cloud-only deployments.
  • What are the key hybrid cloud capabilities that are helping organizations to accelerate their digital transformations in the post-Covid-19 era?
  • What are the best practices to avoid common data management and governance pitfalls when investing in the cloud?
2:45pm – 3:30pm EST

Enabling a Real-Time Enterprise with Data Democratization

  • Organizations today are beyond the point of too much data, and often with too few insights
  • How can data analytics leaders leverage AI to promote widely accessible data for real-time business decisions?
  • While there are no plug-and-play solutions to data democratization, what are the technologies that currently present the best value proposition?

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

  • 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
3:30pm – 4:00pm EST

Afternoon Coffee Break & Networking


4:00pm – 4:30pm EST

Turbocharge Business Intelligence with Data Fabrics: Next-Gen Data Management

  • 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.

AI-Fueled Customer Journeys - Innovating CX with Advanced Analytics

  • Aligning data and AI initiatives with CX priorities.
  • Leveraging advanced insights to understand customers’ needs, attitudes and behaviors.
  • Building a customer-centric data strategy to create a seamless, frictionless and connected experience.
  • Creating an agile architecture to scale and improve customer experiences.
4:30pm –5:15pm EST

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
Larry Shiller, Chief Data & Analytics Officer, Rising Stars Foundation
5:15pm - 5:30pm EST

Chairperson’s Closing Remarks


5:15pm – 5:45pm EST

Entertainment, Drinks & Networking


8:00am – 9:00am EST

Registration & Open Networking

Breakfast Briefing: Promoting Diversity, Equity and Inclusion in Data Analytics Teams

8:45am – 9:00am EST

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.
Andrew Sohn, Data Architecture, Engineering, Governance & Enablement Leader, Inspire Brands
9:30am -10:00am EST

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?

10:00am – 10:45am EST

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


10:45am –11:15am EST

Mid-Morning Coffee Break & Networking


11:15am – 11:45am EST

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.

11:45am – 12:15pm EST

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.

12:15pm - 1:00pm EST

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.

1:00pm –2:00pm EST
2:00pm – 2:45pm EST

Infusing a Data-Driven Culture in Legacy Organizations

  • What does it really mean to have a data-driven culture, and what are the benefits for the business?
  • Best practices for overcoming the data literacy roadblock.
  • How can data leaders partner with the business to champion cultural change?
  • Building an enterprise-wide capability to generate innovative analytics-based work and scale best practices across the organization.
  • Modernizing legacy systems and progressing the journey of cloud migration and advanced analytics.

Accelerating your AI Journey - Opportunities to Foster AI & Machine Learning Adoption

  • Saving yourself time by examining what has and what hasn’t worked to date.
  • Debunking and moving past misconceptions about Machine Learning.
  • Where should human intervention become automated – and what to leave alone for now?
2:45pm – 3:30pm EST

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

  • 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.


Avinash Tripathi, VP, Analytics, Marketing Analytics & Marketing Sciences, University of Phoenix

Self-Service Data: Empowering Teams across the Enterprise to be Data-Driven

  • Discussing the value of centralized, de-centralized and federated data analytics models.
  • Overcoming data skepticism and increasing data literacy to maximize data-driven insights.
  • Security and privacy considerations when increasing data access whilst retaining control.
3:30pm – 4:00pm EST

Afternoon Coffee Break & Networking


4:00pm – 4:45pm EST

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


4:45pm –5:15pm EST

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.

5:15pm - 5:30pm EST

Chairperson’s Closing Remarks


5:30pm EST

End of Event. Thank you and safe travels!


 

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