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Day 1: July 14, 2020
8:10amPT/ 11:10amET
Preview: What to Expect From Data & Analytics Live 2020
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08:30am PT/ 11:30am ET
Keynote Presentation: Actions for Data & Analytics Leaders in the Age of COVID-19
- Ensuring that decisions are made upon reliable, accurate, timely and consistent information
- Creating a helpdesk for data and analytics questions and recognizing the value of metadata
- Playing a leadership role in aligning work, sharing content, ideas and best practices
- Simplifying processes to accelerate throughput through reporting & analytics
Fawad Butt, Chief Data & Analytics Officer, UnitedHealth Group
9:00am PT/ 12:00pm ET
Keynote Presentation: Data Readiness for AI – The Critical First Step to Adopt Exponential Technology in Your Organization
- The next stage of digital’s evolution welcomes us with the promise of emotionally intelligent interfaces and hyper intuitive cognitive capabilities
- This will transform the business in unpredictable ways
- As we prepare for the coming decade of disruptive change, we should remember the role of data and evaluate the readiness of our data to support existing and emerging AI capabilities
Juan Tello, Principal & Chief Data Officer, Deloitte Consulting and Fred Koopmans, VP, Product Management, Cloudera
09:30amPT/12:30pmET
Keynote Presentation by Sanjay Srivastava, Chief Digital Officer, Genpact
10:00am PT/1:00pm ET
Panel Discussion: Building Partnerships Between Data & Analytics Teams to Collaborate on a Production Environment for Analytics That Maximizes Business Value
- The future of CAO, CDO and CIO – how are these roles evolving?
- Striking the perfect balance between technology and business needs and the issues of architecture an enterprise-wide production environment for analytics
- Determining the ideal relationship between teams and structures that have different roles and priorities: data scientists, data engineers, data analysts etc.
- Creating a ‘one team’ mentality with aligned priorities and a consistent measurement framework for the AI/ML initiatives
- How to provide consistent and repeatable processes to operationalize analytics (AI/ML models), to ensure that key governance information like data lineage are retained, how to include both internal and external data?
Moderated by:
Shrikant Dash, Strategic Advisor, ModelOp
Panelists include:
Shadaab Kanwal, Executive Leader, Digital, Data & Analytics Services, Charles Schwab
Gerald Brady, Managing Director, SVB Network, Silicon Valley Bank
Debiprasad Roy, Senior Director, R&D Technology Platforms, Data Analytics & Programming, Allogen Therapeutics
Nadeem Chaudhry, Head of Data, Earnest Inc
Krishna Karuturi, Senior Director, Computational Sciences, The Jackson Laboratory
Stu Bailey, Co-Founder and Chief AI Architect, ModelOp
11:10am PT/ 2:10pm ET
Stream A: Panel Discussion: Delivering Insights to Increase the Impact of Marketing
- Capitalizing on marketing analytics in order to identify effective strategies and not work on assumptions
- Ensuring that eCommerce and website analytics are being utilized in order to improve marketing campaigns
- Collaboration, not conflict: maintaining harmonious relationships between analytics & marketing
Moderated by:
Wes Chaar, Chief Data & Analytics Officer, Catalina
Panelists include:
Emil Matsakh, Former Chief Analytics Officer, Commonwealth Bank of Australia
Joanne Chen, VP, Data, YieldStreet
Josh Margulies, Director, Integrated Brand Marketing, Jacksonville Jaguars
Vineet Kumar, Director, Product Analytics & Data Science, GoDaddy
11:10am PT/ 2:10pm ET
Stream B: Presentation: Building a Mature Data Analytics Roadmap in a Shifting Industry
- Build a data analytics roadmap that adapts with your data, business and customer needs
- Learn how to navigate technologies for data collection and analytics that are on the horizon
- Explore what a roadmap looks like in an industry that has been using data and analytics for decades
- Learn how MassMutual has adopted a forward looking process for continued success and market disruption
Sears Merritt, Head of Data, Strategy & Architecture, MassMutual
11:50amPT/2:50pmET
Stream A: Keynote Presentation: Machine Learning for Data Quality
Nadeem Asghar, VP, Global Head of Partner Solution Engineering & Global Field CTO, Cloudera
Victor Bocking, Managing Director, Deloitte Consulting
11:50amPT/2:50pmET
Stream B: Keynote Presentation: The Cloud Alone Won’t Save Your Data Strategy
- The emerging requirements for modern data analytics -- real-time performance for ad hoc queries, multi-petabyte scale, support for hundreds or thousands of concurrent users, and the flexibility and elasticity to experiment with new workloads and datasources -- make the same-old approaches look their age
- The newer Cloud-native platforms don’t fare much better and data gravity locks your applications into a single Cloud
- In this session, you’ll learn how a hybrid cloud approach brings not only the necessary tools for meeting modern requirements, but also the predictability and multi Cloud flexibility that everyone wants
Brian Bulkowski, Chief Technology Officer, YellowBrick
12:50pm PT/ 3:50pm ET
Stream A: Virtual Discussion Group: Data Lake or Data Swamp? Ensuring Strong Data Architecture
- Best practices in data migration: people, process & technology
- Identifying the data architecture that will work best for your organization
- Creating a narrative and identifying effective change management procedures
- Making data useful and governed
Cetin Karakus, Global Head of Quantitative & Analytical Solutions, BP
Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
Nick Kabra, VP, Data Science Analytics, American Express
Eli Bernstein, Head of Data Architecture, Tudor Investment Corporation
Myles Suer, Head of Global Enterprise Marketing, Dell Boomi
12:50pm PT/ 3:50pm ET
Stream B: Virtual Discussion Group: Successfully Mastering Upskilling to Capitalize on Self-Service Business Intelligence & Analytics
- Utilizing data visualization as a tool for self-service analytics
- What are the best forms of upskilling?
- Creating training programmes that demonstrate ROI
Callie Cobbs, Senior Lead Analyst, Enterprise Analytics, Chick-Fil-A
Shadaab Kanwal, Executive Leader, Digital, Data & Analytics Services, Charles Schwab
Cindi Howson, Chief Data Strategy Officer, ThoughtSpot
Day 2: July 15, 2020
8:40amPT/11:40amET
Preview: What to Expect From Data & Analytics Live 2020 – Day Two
9:00am PT/ 12:00pm ET
Keynote Presentation: How Data Can Inform Crisis Response in the Age of Coronavirus
- Sharing learnings from both private sector and non-profit organizations - how the power of Data and Analytics can improve and support society’s response to critical situations
- Always be prepared - Informing business continuity planning and the wider risk function within crucial financial services institutions
- Rising to the challenge of matching needs and services to enable on the ground support
Dan Power, Managing Director, Data Governance, Global Markets, State Street
09:30amPT /12:30pmET
Keynote Presentation: Operationalize AI Throughout your Business with Intelligent Workflows
- AI helps you unlock the value of your data and gives you the ability to design intelligent workflows that are predictive in nature, allowing you to make better decisions
- With prebuilt Watson applications, that speed time to value across key domains, such as customer service, financial planning, risk management and IT operations
- Join us for this keynote to learn how to infuse Watson into your workflows and hear about clients who are already putting AI to work
Madhu Kochar, VP, Offering Management – IBM Data & AI, IBM
10:00am PT/ 1:00pm ET
Panel Discussion: Ensuring The Rise of Data Literacy for Improved ROI on Data Projects
- Best practices for data cleaning and ensuring the right data is mindfully used at the right time
- The importance of democratizing data
- Education and getting the entire organization involved in the process
- Ensuring analytics are able to operate with ease and little intervention
Edgar Abreu, VP, Data Analytics, Synchrony Financial
Panelists include:
Len Usvyat, VP, Applied Advanced Analytics, Fresenius Medical Care
Meenal Iyer, Senior Director, Enterprise Analytics & Data, Tailored Brands
Fauzia Saeed, Director, Analytics & Marketing Insights, Thermofisher Scientific
Kirtida Parikh, Independent Speaker & Former Head of Enterprise Business Analytics
11:10am PT/ 2:10pm ET
Stream A: Presentation: Beyond “Data-Driven” – Reimagining Game Development for the AI Age
- Zynga pioneered the idea of data-driven game development at a time when analytics wasn't a common place thing within the industry
- These days though, it's hard to get away from headlines about big data and the AI revolution - Analytics has become commonplace and vendors queue up to provide easily integrated SDKs
- Everyone has data, everyone calls themselves "data-driven" - but what comes after that?
- Join Dr. Luke Dicken as he explores the Galaxy Brain of what lies beyond simple data-driven process, and the implications that has for automation, and creativity more broadly
Luke Dicken, Director, Applied AI, Zynga
11:10am PT/ 2:10pm ET
Stream B: Presentation: Disruptive Transformation With AI
- The power of AI is disrupting every aspect of an organization, creating unique experiences with customers
- In this session, learn the disruptive potential of AI and how you can utilize this power in your organization
- Hear a real case study on how customer experiences changed with AI-driven algorithms while increasing the profitability of a company
Ash Dhupar, Chief Data & Analytics Officer & Author
11:40amPT/2:40pmET
Stream A: Keynote Presentation: Next-Generation Solution Architecture
- Understand next- generation solution architectures catering to a different velocity, volume and variety
- The presentation will instil a thought process for moving to the Cloud and converging on a data platform to provision analytics, advanced analytics, ML and AI
Avinash Deshpande, Head of Architecture, Denodo
11:40amPT/2:40pmET
Stream B–Keynote Presentation: The Universal BI Portal - The Missing Ingredient to Your BI Strategy
- Learn how a universal BI portal provides business users with one place to go to get relevant reports and metrics and arrange to support their personal and team-based workflows
- A BI Portal collects information about BI tool and report usage, providing administrators an administrative console to manage an enterprise BI environment more efficiently and effectively
- Increase the organization's overall ROI on Business Intelligence investments
Marius Moscovici, CEO, Metric Insights
Mike Smitheman, VP, Sales & Marketing, Metric Insights
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12:10pm PT/ 3:10pm ET
Stream A: Panel Discussion: Working with Differing Levels of Maturity in Systems and Experience Across the Enterprise
- Developing a consistent strategy and message across different departments
- Methods of upskilling different departments and individuals to capitalize on data strategy
- Assessing maturity in order to assign appropriate tasks
Moderated by:
Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
Panelists include:
Len Usvyat, VP, Applied Advanced Analytics, Fresenius Medical Care
Nick Kabra, VP, Data Science Analytics, American Express
Joshua Brickman, VP, Business Strategy, TD Garden & Boston Bruins
Doug Oliveira, Chief Technology Officer, AWL
Sriram Belur, Head of Data & Advanced Analytics, CPP Investments
12:10pm PT/ 3:10pm ET
Stream B: Panel Discussion: Capitalizing on Your Data & Analytics Strategy for Better Business Results
- Building an analytics strategy that adapts to your business needs, whilst taking into account architecture & IT capabilities
- Adopting a forward-thinking, customer-focused and business enabled strategy for success
- Identifying an analytics strategy that is appropriate for organization’s skills level
Moderated by:
Frederique De Letter, Director, Enterprise Data Intelligence, Domino’s
Panelists include:
Rajeeve Kaul, Global Chief Pricing Officer, McDonald’s
Fauzia Saeed, Director, Analytics & Marketing Insights, Thermofisher Scientific
Srinivasan Sankar, Enterprise Data Leader, Hanover Insurance Group
1:30pm PT/ 4:30pm ET
Stream A: Virtual Discussion Group: Increasing Diversity in Data & Analytics and Proactively Developing Future Talent
- What are the best methods of ensuring a diverse pipeline of talent into the industry?
- What can be done to promote STEM, particularly to those who do not have a traditional STEM background?
Kirtida Parikh, Independent Speaker & Former Head of Enterprise Business Analytics
Kathleen Maley, Independent Speaker & Former Head of Digital & Analytics Services
1:30pm PT/ 4:30pm ET
Stream B: Virtual Discussion Group: Ensuring Success in Meeting the Artificial Intelligence Challenge
- Defining the state of the possible – how mature are AI technologies currently, and what should we expect in the years ahead?
- What opportunities does AI present to modern businesses ready to exploit them?
- What are the challenges, and how can these be best overcome?
- Getting beyond the buzzword – where should we be applying AI, and where shouldn’t we?
Ash Dhupar, Chief Data & Analytics Officer & Author
Che Guan, Principal Data Scientist, Raymond James
Igor Tumasov, IBM Watson Solutions Leader, IBM
Day 3: July 16, 2020
8:40am PT/11:40am ET
Preview: What to Expect From Data & Analytics Live 2020 - Day Three
9:00am PT/ 12:00pm ET
Keynote Presentation: If Data Is the Great Consumer Connector, ML/AI Is The Super Glue
- In today’s hyper-fragmented world, the opportunity for retailers and marketers alike is to apply ML/AI to vast mountain ranges of data to connect with buyers seamlessly across channels as they traverse their shopper journey – from digital to in-store
- Used strategically, AI can harness the impact and revelations of “big data” to engage with consumers on their terms to:
- Provide desired personalization
- Create experiences
- Promote product discovery
- Understand buyer motivations
Wes Chaar, Chief Data & Analytics Officer, Catalina
Marta Cyhan, Chief Marketing Officer, Catalina
9:30am PT/12:30pm ET
Keynote Presentation: How CDOs Can Lead the People, Process, and Technology of Data Defense
- Why data defense is just as important as data offense to creating analytical models
- How do you enable self-service to make structured and unstructured data discoverable and usable for data modelers
- How Boomi can accelerate your data defense and turn analytic results into action
Myles Suer, Head of Global Enterprise Marketing, Dell Boomi
10:00am PT/ 1:00pm ET
Panel Discussion: Driving Profitability Throughout the Enterprise - Unlocking New Revenue Streams Through Analytics
- How can analytics help to increase revenues & reduce waste?
- Moving analytics from a cost center to a profit center
- Identifying areas where money and manpower would be better placed
- Driving better insights whilst maintaining harmonious inter-departmental relationships
Moderator:
Solomon Madadha, VP, Data & Analytics, Renasant Bank
Panelists include:
Sandip Nayak, Chief Credit & Analytics Officer, Fundation Group
Ben Donlon, Chief Analytics Officer, Metro United Way
Deep Ratna Srivastav, SVP, Head of Client Strategies & Analytics, Franklin Templeton Investments
Avinash Tripathi, Executive Director, Analytics, Kaplan Higher Education
11:10am PT/ 2:10pm ET
Stream A: Presentation: Fighting Churn With Data – The Science of Great Customer Metrics
- Data-driven churn prevention: creating a holistic view of marketing, product, customer success & sales and pricing
- How useful are predictive models for churn?
- Capitalizing on data science to improve customer metrics
- Creating data models that effectively prevent customer churn
- How to improve churn prediction accuracy
Carl Gold, Chief Data Scientist, Zuora
11:10am PT/ 2:10pm ET
Stream B: Presentation: The Blocks to Build AI Strategy at the Organization Level
- Where to start, how to start and overcoming both internal and data challenges presented
- Making AI useful for internal stakeholders as well as customers
- Understanding and creating an operating model for AI products, including end to end spectrum, training models and scaling to a large user base without losing time
- Where is the AI space heading – and what shortcomings are being found?
11:40am PT/ 2:40pm ET
Stream A: Keynote Presentation: In-Place Analytics - the End of Data Siloes?
- Most modern analytic tools require in ingestion of data into their in-memory analytic engines, typically desktop based
- In 2020, with almost limitless cloud resource, why is this necessary?
- We should be able to abstract the analytic functionality from the data storage
- In this session, Ian Macdonald from Pyramid Analytics will explore the advantages of In-Place Analytics, and share examples to illustrate how it offers superior performance and flexibility
Ian Macdonald, Principal Technologist, Pyramid Analytics
11:40am PT/ 2:40pm ET
Stream A: Keynote Presentation: People, Process, and Technology - The 3 Key Factors for Delivering Business-Ready Data and Quantifiable Value Fast
- For organizations seeking a transformation within their data operations, automation technology can deliver a competitive advantage
- Data becomes valuable when trusted business-ready data helps drive differentiated insights and operational excellence for organizations
- DataOps (data operations) is the orchestration of people, processes, and technology to deliver trusted, business-ready data to data citizens, operations, applications and artificial intelligence (AI) fast
- IBM DataOps enables agile data collaboration through a proven methodology, expert support, and leading technology to drive speed and scale of operations and analytics throughout the data lifecycle
- Join us to hear more about how organizations can improve the relationship between people, process, and technology to deliver insights fast.
Scott Buckles, North America Business Unit Executive, IBM Information Architecture, IBM
12:10pm PT/ 3:10pm ET
Stream B: Panel Discussion: Think Big, Start Small – Building a Solid Foundation for AI & Machine Learning
- Reverse the traditional order: finding business use cases for AI before it is acquired
- How to actually define AI or machine learning and what it is going to do for your organization
- Getting ‘hygiene’ factors in place: making sure that you have the correct infrastructure and operations
Moderator:
Paul Stolorz, Chief Data Scientist, App Annie
Panelists include:
Kevin Hua, Senior Manager, AI & Machine Learning, Bayer
Amarnath Lingam, Head of Enterprise Advanced Analytics & AI, CDW
Alfred Essa, Simon Fellow, Carnegie Mellon University
1:30pm PT/ 4:30pm ET
Virtual Discussion Group: Exploring Evolving Organizational Demands for Analytics
- What are the pros and cons of centralized vs decentralized analytics strategies?
- Where in the organization should use cases for analytics originate?
- How does the culture need to adapt & change in order to implement a successful analytics strategy?
Allen Thompson, VP, Data & Analytics, Hanover Insurance Group
Nick Diieso, Director, Operational Risk, Citi
Douglas Bennett, Senior Managing Director, Financial Reporting, A&G Real Estate Partners
Jeff Bodzewski, Adjunct Professor, Digital Marketing, DePaul University