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Chief Data & Analytics Officers, Fall

• Revolutionize Your Data Analytics Strategy • Drive Internal Transformation • Boost ROI •

Download the Agenda Register
Financial Services Focus Day
November 18th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: From Foundation to Mastery - Building a Mature Analytics Roadmap

  • Building an evolving analytics roadmap in a data-mature industry
  • How to assess where your organization is on their data journey and how to create checkpoints that can evolve with your needs
  • Learn to create a roadmap that has flexibility to grow and mature as your organizational needs, technology, and customer expectations shift

Speaking:

Tuppy-1

Tuppence Russo

SVP, Head of Wealth Management Infrastructure , AllianceBernstein

Opening Keynote: From Foundation to Mastery - Building a Mature Analytics Roadmap

April 12 | 09:00 - 09:20

  • Building an evolving analytics roadmap in a data-mature industry
  • How to assess where your organization is on their data journey and how to create checkpoints that can evolve with your needs
  • Learn to create a roadmap that has flexibility to grow and mature as your organizational needs, technology, and customer expectations shift
Register

Speaking:

Tuppy-1

Tuppence Russo

AllianceBernstein

09:20

Presentation: Ensuring Data Quality and Lineage in Cloud Migration

  • Rethink your data quality strategy for the cloud era
  • The move to the cloud is an opportunity to ensure the quality and lineage of your data, as well implement automated governance models
  • Learn where cloud management is fundamentally different from traditional data ecosystems and how data and analytics leaders should address these differences
  • Explore best practices to optimize data as its migrated to ensure you are maximizing its potential
  • Build a collaborative framework for analytics users, data collection specialists, and the data governance team

Speaking:

Presentation: Ensuring Data Quality and Lineage in Cloud Migration

April 12 | 09:20 - 09:40

  • Rethink your data quality strategy for the cloud era
  • The move to the cloud is an opportunity to ensure the quality and lineage of your data, as well implement automated governance models
  • Learn where cloud management is fundamentally different from traditional data ecosystems and how data and analytics leaders should address these differences
  • Explore best practices to optimize data as its migrated to ensure you are maximizing its potential
  • Build a collaborative framework for analytics users, data collection specialists, and the data governance team
Register

Speaking:

09:40

Panel: Building a Data Strategy to Drive Analytics & Digital Transformation In The Financial Services Industry

Speaking:

Zhongcai

Zhongcai Zhang

Chief Analytics Officer, New York Community Bancorp

Panel: Building a Data Strategy to Drive Analytics & Digital Transformation In The Financial Services Industry

April 12 | 09:40 - 10:10

Register

Speaking:

Zhongcai

Zhongcai Zhang

New York Community Bancorp

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

Register

Speaking:

10:40

Presentation: Building a Culture of Customer-Centric Analytics

  • Building strong metrics for data product teams based on customer-retention, loyalty, and satisfaction
  • An end to fishing – learn how to focus your team on the questions your customers are asking
  • Discover new data gathering techniques such as gamification and how they can be deployed for empathic and focused analytics functions
  • Hear how to create an atmosphere of partnership between your customers and analysts for more accurate results, greater trust in the data gathering process, and enhanced regulatory compliance

Speaking:

Prahalad Thota

Prahalad Thota

SVP, Head of Enterprise Analytics and Data Science, Wells Fargo

Presentation: Building a Culture of Customer-Centric Analytics

April 12 | 10:40 - 11:00

  • Building strong metrics for data product teams based on customer-retention, loyalty, and satisfaction
  • An end to fishing – learn how to focus your team on the questions your customers are asking
  • Discover new data gathering techniques such as gamification and how they can be deployed for empathic and focused analytics functions
  • Hear how to create an atmosphere of partnership between your customers and analysts for more accurate results, greater trust in the data gathering process, and enhanced regulatory compliance
Register

Speaking:

Prahalad Thota

Prahalad Thota

Wells Fargo

11:00

Insider Session: Analytics Driven Digital Transformation

  • Become a strategic digital transformation partner and unlock your consumer insights
  • Learn how to become a key partner to the product team by analysing what consumers actually want
  • Hear how you can help guide the digital transformation and end the guess work behind customer experience product roll-out
  • Understand how financial institutions are unlocking their customer’s data to go beyond CS and UX to create massive growth and increased loyalty

Speaking:

John Carter

John Carter

SVP, Analytics & Business Insight , Charles Schwab

Insider Session: Analytics Driven Digital Transformation

April 12 | 11:00 - 11:30

  • Become a strategic digital transformation partner and unlock your consumer insights
  • Learn how to become a key partner to the product team by analysing what consumers actually want
  • Hear how you can help guide the digital transformation and end the guess work behind customer experience product roll-out
  • Understand how financial institutions are unlocking their customer’s data to go beyond CS and UX to create massive growth and increased loyalty
Register

Speaking:

John Carter

John Carter

Charles Schwab

11:30

Learning Lab: Enhance Your ROI with Data Monetization

Learning Lab: Enhance Your ROI with Data Monetization

April 12 | 11:30 - 12:30

Register

Speaking:

12:30

Lunch

Lunch

April 12 | 12:30 - 13:30

Register

Speaking:

1:30

Discussion Group: Are Our Regulatory Copliance Frameworks Robust and Flexible Enough for the Future of Data Privacy and Ownership?

Speaking:

srinavas

Srinivas Relangi

VP Data Mining & Analytics, BNY Mellon

Devanshu Mehrotra

Devanshu Mehrotra

Vice President, Audit Analytics, MUFG

Discussion Group: Are Our Regulatory Copliance Frameworks Robust and Flexible Enough for the Future of Data Privacy and Ownership?

April 12 | 13:30 - 14:15

Register

Speaking:

srinavas

Srinivas Relangi

BNY Mellon

Devanshu Mehrotra

Devanshu Mehrotra

MUFG

2:15

Discussion Group: How Can We Create Robust Data Ethics Frameworks that Don't Impete Data-Hungry Models?

Speaking:

Zhongcai

Zhongcai Zhang

Chief Analytics Officer, New York Community Bancorp

Discussion Group: How Can We Create Robust Data Ethics Frameworks that Don't Impete Data-Hungry Models?

April 12 | 14:15 - 15:00

Register

Speaking:

Zhongcai

Zhongcai Zhang

New York Community Bancorp

3:00

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 15:00 - 15:30

Register

Speaking:

3:30

Afternoon Keynote: Educating Stakeholders on the Realistic Potential of AI in Specific Use Cases

  • Break through the hype surrounding AI techniques and manage business leader’s expectations
  • Build trust using explainable AI processes with realistic, positive results in risk management, identity detection & confirmation, fraud prevention and CX
  • Learn how to bring non-technical stakeholders into the analytics modelling and insights process for a greater level of trust and understanding
  • Get stakeholders to focus on the right questions for optimized insight output

Speaking:

Abhinav Anand

Abhinav Anand

Managing Director, Head of Data and Analytics, Goldman Sachs

Afternoon Keynote: Educating Stakeholders on the Realistic Potential of AI in Specific Use Cases

April 12 | 15:30 - 15:50

  • Break through the hype surrounding AI techniques and manage business leader’s expectations
  • Build trust using explainable AI processes with realistic, positive results in risk management, identity detection & confirmation, fraud prevention and CX
  • Learn how to bring non-technical stakeholders into the analytics modelling and insights process for a greater level of trust and understanding
  • Get stakeholders to focus on the right questions for optimized insight output
Register

Speaking:

Abhinav Anand

Abhinav Anand

Goldman Sachs

3:50

Insider Session: Bank of America - Exploiting AI for Regulatory and Legal Compliance

Speaking:

Bhakthi Liyanage

Bhakthi Liyanage

VP, AI Architecture, Bank of America

Insider Session: Bank of America - Exploiting AI for Regulatory and Legal Compliance

April 12 | 15:50 - 16:20

Register

Speaking:

Bhakthi Liyanage

Bhakthi Liyanage

Bank of America

4:20

Happy Hour Roundtables

Enjoy a drink as you attend two in-depth round tables

Where Can Blockchain and Distributed Ledgers Be Leveraged for Improved, More Secure Analytics?

How Can We Reduce Bias in Our Algorithms to Remain Fair, Ethical and Compliant?

Randy Addis, Managing Director – Data Management & BI, BEST EGG

The Role of Analytics and AI in Financial Crime Investigation & Digital Identities

Devanshu Mehrotra, VP, Audit Analytics, MUFG

Speaking:

Devanshu Mehrotra

Devanshu Mehrotra

Vice President, Audit Analytics, MUFG

Happy Hour Roundtables

April 12 | 16:20 - 17:20

Enjoy a drink as you attend two in-depth round tables

Where Can Blockchain and Distributed Ledgers Be Leveraged for Improved, More Secure Analytics?

How Can We Reduce Bias in Our Algorithms to Remain Fair, Ethical and Compliant?

Randy Addis, Managing Director – Data Management & BI, BEST EGG

The Role of Analytics and AI in Financial Crime Investigation & Digital Identities

Devanshu Mehrotra, VP, Audit Analytics, MUFG

Register

Speaking:

Devanshu Mehrotra

Devanshu Mehrotra

MUFG

5:20

Chair's Closing Remarks

Chair's Closing Remarks

April 12 | 17:20 - 17:30

Register

Speaking:

5:30

Networking Drinks

Networking Drinks

April 12 | 17:30 - 18:30

Register

Speaking:

Insurance Focus Day
November 18th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: Preparing Your Analytics Division for The IoT Revolution

  • Discover how to maximize IoT data across the insurance industry
  • Only 10% of analytics leaders in insurance believe they are ready for this seismic change – are you one of them?
  • Build an unprecedented level of insight to become a major disruptive force
  • Learn how to work with partners and regulators to provide an even greater level of personalized coverage without violating privacy regulations or ethical considerations
  • Discover which tools and platforms offer real long-term value to avoid being trapped in the hype cycle

Speaking:

Scot Gnewuch

Scot Gnewuch

SVP - Manager of Business Intelligence & Analytics, Hartford Steam Boiler (a division of MunichRe)

Opening Keynote: Preparing Your Analytics Division for The IoT Revolution

April 12 | 09:00 - 09:20

  • Discover how to maximize IoT data across the insurance industry
  • Only 10% of analytics leaders in insurance believe they are ready for this seismic change – are you one of them?
  • Build an unprecedented level of insight to become a major disruptive force
  • Learn how to work with partners and regulators to provide an even greater level of personalized coverage without violating privacy regulations or ethical considerations
  • Discover which tools and platforms offer real long-term value to avoid being trapped in the hype cycle
Register

Speaking:

Scot Gnewuch

Scot Gnewuch

Hartford Steam Boiler (a division of MunichRe)

09:20

Presentation: Best Practices for Moving Insurance Analytics to the Cloud

  • Unlock the benefits and avoid the pitfalls of cloud transformation
  • Discover how you can leverage cloud technologies to take advantage of the new technology, data sources and augmented analytical techniques
  • Explore the best practices for migrating to the cloud and utilizing cloud analytics for a maximum ROI
  • Build a strategy to integrate your legacy systems into the cloud to ensure maximum utility from traditional technologies

Presentation: Best Practices for Moving Insurance Analytics to the Cloud

April 12 | 09:20 - 09:40

  • Unlock the benefits and avoid the pitfalls of cloud transformation
  • Discover how you can leverage cloud technologies to take advantage of the new technology, data sources and augmented analytical techniques
  • Explore the best practices for migrating to the cloud and utilizing cloud analytics for a maximum ROI
  • Build a strategy to integrate your legacy systems into the cloud to ensure maximum utility from traditional technologies
Register

Speaking:

09:40

Panel: Data Strategy to Drive Analytics & Digital Transformation In The Insurance Industry

Speaking:

Panel: Data Strategy to Drive Analytics & Digital Transformation In The Insurance Industry

April 12 | 09:40 - 10:10

Register

Speaking:

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

Register

Speaking:

10:40

Presentation: DataRobot

Speaking:

Presentation: DataRobot

April 12 | 10:40 - 11:10

Register

Speaking:

11:10

Presentation: Unlocking the Power of AI-Augmented Teams

Speaking:

Asish Kohad-1

Ashish Kohad

AVP, Predictive Analytics and Data Science, Zurich North America

Presentation: Unlocking the Power of AI-Augmented Teams

April 12 | 11:10 - 11:30

Register

Speaking:

Asish Kohad-1

Ashish Kohad

Zurich North America

11:30

Learning Lab: Building a Collaboration Roadmap Between Digital and Analytics Leadership

  • Build a closer collaboration between the Chief Analytics and Chief Digital Officer for increased adoption of digital tools
  • Learn how to create a collaborative roadmap where roles overlap to drive a digital roadmap with a high level of adoption and customer retention
  • Explore the common complications and clashes that arise when working together
  • Create a strategy that will see both teams maximized
  • In teams, create a collaborative plan based on clear, operationalized strategy that will provide a clear improvement to ROI

Learning Lab: Building a Collaboration Roadmap Between Digital and Analytics Leadership

April 12 | 11:30 - 12:30

  • Build a closer collaboration between the Chief Analytics and Chief Digital Officer for increased adoption of digital tools
  • Learn how to create a collaborative roadmap where roles overlap to drive a digital roadmap with a high level of adoption and customer retention
  • Explore the common complications and clashes that arise when working together
  • Create a strategy that will see both teams maximized
  • In teams, create a collaborative plan based on clear, operationalized strategy that will provide a clear improvement to ROI
Register

Speaking:

12:30

Lunch

Lunch

April 12 | 12:30 - 13:30

Register

Speaking:

1:30

Discussion Group: How Can we Tackle Algorithmic Bias for the Best Risk, Pricing and Regulatory Outcomes?

Discussion Group: How Can we Tackle Algorithmic Bias for the Best Risk, Pricing and Regulatory Outcomes?

April 12 | 13:30 - 14:15

Register

Speaking:

2:15

Discussion Group: How Can We Verify Data Lineage of First and Third Party Data to Ensure Its Use is Legal, Appropriate and Ethical

Discussion Group: How Can We Verify Data Lineage of First and Third Party Data to Ensure Its Use is Legal, Appropriate and Ethical

April 12 | 14:15 - 15:00

Register

Speaking:

3:00

Afternoon Coffee Break

Afternoon Coffee Break

April 12 | 15:00 - 15:30

Register

Speaking:

3:30

Afternoon Keynote: Building a Mature 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

Speaking:

Sears Merritt

Sears Merritt

Head of Technology Strategy, Enterprise Architecture & Data Science, MassMutual Financial Group

Afternoon Keynote: Building a Mature Roadmap in a Shifting Industry

April 12 | 15:30 - 15:50

  • 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
Register

Speaking:

Sears Merritt

Sears Merritt

MassMutual Financial Group

3:50

Panel Discussion: Maximizing the Value of Your Structured and Unstructured Data with Data Catalogs

  • Improve insights by extracting value from unstructured data utilizing a machine learning augmented data catalog
  • Learn how to implement an effective data catalog
  • Avoid metadata silos using intelligent tools
  • Let the insights come to you with AI-augmentation
  • Explore the vendor market to maximize ROI

Speaking:

Panel Discussion: Maximizing the Value of Your Structured and Unstructured Data with Data Catalogs

April 12 | 15:50 - 16:20

  • Improve insights by extracting value from unstructured data utilizing a machine learning augmented data catalog
  • Learn how to implement an effective data catalog
  • Avoid metadata silos using intelligent tools
  • Let the insights come to you with AI-augmentation
  • Explore the vendor market to maximize ROI
Register

Speaking:

4:20

Happy Hour Roundtables

Enjoy a drink as you attend two in-depth round tables

Building a Cloud-Based Risk Model System

Ensuring Big Data Does not Become Big Brother

CAO, CDAO, CIO - Where Does Analytics Fit in Insurances Evolving C-Suite?

Building and Managing an Insurance Innovation Team

Happy Hour Roundtables

April 12 | 16:20 - 17:20

Enjoy a drink as you attend two in-depth round tables

Building a Cloud-Based Risk Model System

Ensuring Big Data Does not Become Big Brother

CAO, CDAO, CIO - Where Does Analytics Fit in Insurances Evolving C-Suite?

Building and Managing an Insurance Innovation Team

Register

Speaking:

5:20

Chair's Closing Remarks

Chair's Closing Remarks

April 12 | 17:20 - 17:30

Register

Speaking:

5:30

Networking Drinks

Networking Drinks

April 12 | 17:30 - 18:30

Register

Speaking:

Retail and CPG Focus Day
November 18th
08:00

Registration, Coffee & Networking

Registration, Coffee & Networking

April 12 | 08:00 - 08:45

Register

Speaking:

08:45

Chair's Opening Remarks

Chair's Opening Remarks

April 12 | 08:45 - 09:00

Register

Speaking:

09:00

Opening Keynote: From Front of House to Back Office – Building a Two-Way Data and Analytics Flow to Drive Efficiency, Collaboration and Revenue

  • Create a central analytics division is essential to unlock the true value in our data
  • By building a flexible end-to-end analytics vision, we can react to consumer trends in real-time to improve stock and offer a more accurate reflection of availability in our marketing, leading to increased spending
  • Learn how to build a data foundation to enable end-to-end insights
  • Hear how to best structure collaborative data analytics and science teams that can work collaboratively to improve supply chain efficiency, customer options, pricing, and marketing
  • Build a business case for creating a strategic, central analytics division to break down traditional silos and working with multiple business stakeholders

Speaking:

Opening Keynote: From Front of House to Back Office – Building a Two-Way Data and Analytics Flow to Drive Efficiency, Collaboration and Revenue

April 12 | 09:00 - 09:20

  • Create a central analytics division is essential to unlock the true value in our data
  • By building a flexible end-to-end analytics vision, we can react to consumer trends in real-time to improve stock and offer a more accurate reflection of availability in our marketing, leading to increased spending
  • Learn how to build a data foundation to enable end-to-end insights
  • Hear how to best structure collaborative data analytics and science teams that can work collaboratively to improve supply chain efficiency, customer options, pricing, and marketing
  • Build a business case for creating a strategic, central analytics division to break down traditional silos and working with multiple business stakeholders
Register

Speaking:

09:20

Presentation: Hiring Data Analytics Experts in the Retail Space

  • How to position retail and CPG as an exciting and attractive offering to data and analytics experts
  • Explore where training is more effective than hiring
  • Learn how to build a team with both domain specific knowledge (e.g. Supply Chain, Pricing, etc) as well as a wider culture of analytics
  • Develop training plans for people who are already excelling in their domain to join the analytics team

Speaking:

Mohit Das

Mohit Das

Global VP, Analytics, Kellogg Company

Presentation: Hiring Data Analytics Experts in the Retail Space

April 12 | 09:20 - 09:40

  • How to position retail and CPG as an exciting and attractive offering to data and analytics experts
  • Explore where training is more effective than hiring
  • Learn how to build a team with both domain specific knowledge (e.g. Supply Chain, Pricing, etc) as well as a wider culture of analytics
  • Develop training plans for people who are already excelling in their domain to join the analytics team
Register

Speaking:

Mohit Das

Mohit Das

Kellogg Company

09:40

Panel: The Business Case for the Chief Data and Analytics Officer

  • Become an analytics force by using the CAO title as a statement of intent
    • Learn how to create the business case for the c-level data & analytics champion and hear how other retail and CPG companies have successfully implemented the title
        Hear how the focus on analytics has transformed once traditional companies into powerhouses of retail and ecommerce
          Create a clear, central analytics roadmap to avoid wasteful investment
            Explore the language of the key C-suite titles to ensure they understand the true benefits of a central analytics division with a seat at the table

Speaking:

Nicole-1

Nicole Nelson

VP, Pricing and Merchandising Strategy Analytics, Best Buy

Panel: The Business Case for the Chief Data and Analytics Officer

April 12 | 09:40 - 10:10

  • Become an analytics force by using the CAO title as a statement of intent
    • Learn how to create the business case for the c-level data & analytics champion and hear how other retail and CPG companies have successfully implemented the title
        Hear how the focus on analytics has transformed once traditional companies into powerhouses of retail and ecommerce
          Create a clear, central analytics roadmap to avoid wasteful investment
            Explore the language of the key C-suite titles to ensure they understand the true benefits of a central analytics division with a seat at the table
Register

Speaking:

Nicole-1

Nicole Nelson

Best Buy

10:10

Morning Coffee

Morning Coffee

April 12 | 10:10 - 10:40

Register

Speaking:

10:40

Insider Session: How to Amalgamate Siloed Customer Interaction Data for a Clear View of Customer Sentiment for Improved Loyalty

  • Unlock the power of constant customer interaction (Call center logs, social media interactions, forums, in-store comments, etc) to gain a clear understanding of the customer for greater retention
  • Learn how major brands are amalgamating their interaction data through the latest cataloguing tools and metadata techniques for a clear view on customer sentiment
  • Hear how this data is being used to form corporate-wide strategy to enhance the customer experience, address concerns, and improve retention and loyalty

Insider Session: How to Amalgamate Siloed Customer Interaction Data for a Clear View of Customer Sentiment for Improved Loyalty

April 12 | 10:40 - 11:10

  • Unlock the power of constant customer interaction (Call center logs, social media interactions, forums, in-store comments, etc) to gain a clear understanding of the customer for greater retention
  • Learn how major brands are amalgamating their interaction data through the latest cataloguing tools and metadata techniques for a clear view on customer sentiment
  • Hear how this data is being used to form corporate-wide strategy to enhance the customer experience, address concerns, and improve retention and loyalty
Register

Speaking:

11:10

Presentation: Improving Loyalty and Spend by Integrating Your AI and Omnichannel Strategy

  • Build an AI strategy to predict customer behaviour and create a seamless customer journey
  • Explore how virtual assistant data can be unlocked to provide self-service across platforms beyond FAQs
  • Putting humans first in your AI strategy for maximum engagement and value

Speaking:

Plated

Daniel Gremmell

VP, Data Science, Plated

Presentation: Improving Loyalty and Spend by Integrating Your AI and Omnichannel Strategy

April 12 | 11:10 - 11:30

  • Build an AI strategy to predict customer behaviour and create a seamless customer journey
  • Explore how virtual assistant data can be unlocked to provide self-service across platforms beyond FAQs
  • Putting humans first in your AI strategy for maximum engagement and value
Register

Speaking:

Plated

Daniel Gremmell

Plated

11:30

Learning Lab: How to Drive Intelligent Change for Enhanced Customer Experience, Loyalty and Market Share

  • Hear how to utilize IoT data, intelligent automation, people analytics and machine learning/AI techniques to promote and drive change designed to maximize the customer’s experience
  • Move from simply capturing customer data within siloed divisions to operationalizing the insights for enterprise-wide transformation
  • Learn how to empower stakeholders with analytics tools and thinking to help them understand the benefits of analytics-led change
  • Explore the language of the C-Suite to deliver powerful messaging that resonates with their pain-points
  • Find out how to explain the power of AI, ML and the IoT in realistic, implementable ways
  • Form teams to build advanced analytics roadmaps designed to drive change at the highest level of a retail organization

Learning Lab: How to Drive Intelligent Change for Enhanced Customer Experience, Loyalty and Market Share

April 12 | 11:30 - 12:30

  • Hear how to utilize IoT data, intelligent automation, people analytics and machine learning/AI techniques to promote and drive change designed to maximize the customer’s experience
  • Move from simply capturing customer data within siloed divisions to operationalizing the insights for enterprise-wide transformation
  • Learn how to empower stakeholders with analytics tools and thinking to help them understand the benefits of analytics-led change
  • Explore the language of the C-Suite to deliver powerful messaging that resonates with their pain-points
  • Find out how to explain the power of AI, ML and the IoT in realistic, implementable ways
  • Form teams to build advanced analytics roadmaps designed to drive change at the highest level of a retail organization
Register

Speaking:

12:30

Lunch

Lunch

April 12 | 12:30 - 13:30

Register

Speaking:

1:30

Discussion Group: How Can We Best Build a Data Analytics Lab As a Catalyst to Data Success?

Discussion Group: How Can We Best Build a Data Analytics Lab As a Catalyst to Data Success?

April 12 | 13:30 - 14:15

Register

Speaking: