top of page

MONDAY, JULY 25, 2022

11:00AM - 11:45AM EASTERN



Elevating Analytics / Insights-driven Decision Making

Discussion Points:

·       Driving a Mindset and Culture Shift

·       Working Cross-functionally toward a common, customer-centric operating model

·       Building a business-objectives-based analytics framework

·       Data and Analytics upskilling at all levels – for insights creators and for decision makers / business leaders

·       Necessary components of a data strategy to support customer-centric insights and personalization

IMG_Jay Franklin_650x650_20220301.jpg

Jay Franklin

VP, Enterprise Data and Analytics

First Tech Federal Credit Union


11:45AM - 12:00PM



Hometown & First Job Skill That You Use Today

Participants will share where they are from, their first job, and a skill/takeaway that they still use today learned from that job.

12:00PM - 12:45PM



Shaping Customer-Centric Growth through Data and Analytics

Deciding to shift your business to a customer-centric approach is a big decision. Where this approach focuses your business on nurturing, developing, and acquiring more valuable customers, it requires work in planning, change management, and navigating complexity. Join CDPa Founder Jon Francis along with Sr Manager, Analytics Hilary Lurie-Malina for a conversation on the importance of using data to align your organization for Customer-Centric growth. 
  • Defining Customer-Centricity and the importance within an organization

  • Foundation of using Data to determine the direction of "next steps" - and how you find the right data to give an accurate picture

  • How Data was used to enact change within the organization to reach the Customer-Centric focus across business unit

Hilary Lurie-Malina.jpeg

Hilary Lurie-Malina

Sr Manager, Analytics


Jon F..jpeg

Jon Francis



12:45PM - 1:15PM



1:15PM - 2:00PM



Unlocking Customer and Business Value Through Data-Driven Personalization – How to Start and How to Scale

Personalization has been the buzzword among marketers for the past decade. As consumers, most of us have experienced what skillful, welcome, and meaningful personalization can look like when we interact with well-known Tech giants. Yet, most companies struggle to navigate this complex topic in a way that unlocks real value for their customer and their business. In this session, we will discuss how to set one’s organization up for success with data-driven personalization along three aspects: strategy, organization, and technology. Join us to discuss real-life examples of do’s and don’ts and a joint problem solving of common challenges!


Anna Kloss

VP Analytics | Pricing, Promotion, Product, Personalization Domain Lead



2:00PM - 2:15PM



Favorite Vacation Spot

Participants will share their favorite vacation spot (and something they like about it), and place(s) they'd like to go next.

2:15PM - 3:00PM



Data Democratization - Ends at a Data Warehouse or a Data Lake

Data literacy and data democratization is every organization's goal; there is no argument there. To get a consolidated view of enterprise data and serve data consumers, many organizations are trying different methods, notably trying to move data to a cloud data warehouse, data lake or a data lake house, but moving all enterprise data in any single repository is impractical and while cloud helps in cost reduction and flexibility, it does not help data democratization. Let's explore why a logical data management strategy is absolutely necessary for data democratization.


Saptarshi Sengupta

Sr. Director of Marketing (Communications, Product Marketing, Customer Marketing)



3:00PM - 3:15PM



Two Truths and a Lie

Participants will share 2 truths and 1 lie about themselves. Other participants will try to guess the lie.

3:15PM - 4:00PM



Actively Growing the Pipeline of Next Gen Talent

The pandemic has accelerated digital transformation. However, there is a growing digital skills crisis, with a majority of the current and prospective workforce feeling they lack the proper digital skills to prepare them for the future, and businesses struggling to fill crucial roles. We have the opportunity to bring new, talented individuals into the field to fill those empty seats.


Wendy Batchelder

Senior Vice President of Global Data Governance and the Chief Data Officer of Trust



TUESDAY, JULY 26, 2022

11:00AM - 11:45AM




Alignment of Data and Business Strategy

An interactive discussion around the alignment of data and business strategy.

Allison S.jpeg

Allison Sagraves

Senior Vice President,; Adjunct Faculty Chief Data Officer Program, Carnegie Mellon University

M&T Bank


11:45AM - 12:00PM



Bucket List Item

Participants will share a bucket list item that they'd like to accomplish, and/or one that was recently accomplished.

12:00PM - 12:45PM



How to Be Agile in a Data Mesh World

Enterprises want to effectively scale their data ecosystems and more efficiently extract value from their data. Data mesh has emerged as a potential framework for making that happen with these core beliefs.

  • Data is a valuable product and should be managed as such.

  • Data should be managed by the people who know and understand it best.

  • Data should be governed in a decentralized manner.

To achieve data mesh harmony, enterprises need to find the right balance between centralization and decentralization without repeating past mistakes and "boiling the ocean."


Juan Sequeda

Principal Scientist


12:45PM - 1:15PM



1:15PM - 2:00PM



The Future of BI is push intelligence. 

How to drive automated insights for cloud costs management, Transaction monitoring and more. 

Ira Cohen Anodot.jpg

Ira Cohen

Founder & Chief Data Scientist 



2:00PM - 2:15PM



Share a Background Image

Participants will share a background image with the group, and talk briefly about it. This can be a pet, enjoyed activity, family member, hometown, vacation spot, etc. 

2:15PM - 3:00PM



Scaling your AI and Data Science Team

Organizations worldwide are seeing a huge value in using AI and Data Science to drive business value; however, they are also experiencing a severe crunch for high-performing talent, not just to hire but also to retain.

A well-rounded approach to setting up an effective Analytics CoE (Center of Excellence) allows organizations to scale in a programmatic manner and become a destination for top AI talent with minimal attrition.

In this session, Tiger will share specifics of the COE model that can enable organizations to scale their AI and Data Science team through best practices around effective hiring, structuring & scaling teams, driving talent development, and ensuring team retention.   


Rachit Dhir

Business Head, Insurance

Tiger Analytics

Tiger Analytics Logo.jpg

3:00PM - 3:15PM



Get to Know Your Peers: Share Things You Like to do for Fun Outside of Work

Participants will share things they like to do for fun outside of work (hobbies, outside activities, musical instruments, cooking, pets, kids, etc.).

3:15PM - 4:00PM



Natural Language Processing

Natural Language Processing (NLP) is one of the most exciting fields in AI and has already given rise to technologies like chatbots, voice assistants, translators, and many other tools we use every day.
The study of natural language processing began in the 1950s, with the first attempts of automated translation from Russian to English laying the groundwork for research in natural language processing. Around the same time, the Turing Test – originally known as the imitation game – was developed to determine if a machine was capable of behaving in the same way as a human being.
Since then, NLP has come a long way. And, as unstructured data grows, NLP technology continues to evolve to better understand the nuances, context, and ambiguities of human language. Curious to know what’s ahead for natural language processing?

  • What is natural language processing?

  • The evolution of natural language processing

  • How does natural language processing work?

  • Why is natural language processing important?

  • Techniques and methods of natural language processing

  • Benefits of natural language processing

  • How is Ethical bias addressed in NLP ?

Meena Thanikachalam.jpeg

Meena Thanikachalam

Head of Data Solutions & Analytics





7:30pm Eastern
Awards Ceremony Waiting Room Opens & 30 Minute Countdown Begins *Refer to the meeting link in the calendar invite.


7:55pm Eastern
Webcams Are Encouraged To Be Turned On At This Time


8:00pm Eastern
Awards Ceremony Start & Opening Remarks


Awards Presenters: 

  1. Jonathan Owen | Chief Scientist and Director of Advanced Analytics Center of Expertise | General Motors

  2. Bret Swango | Head of Workforce & Site Selection Analytics | Colliers International

  3. Meena Thanikachalam | Head of Data Solutions & Analytics | Ally

  4. Shobhita Saxena | Global Head of Innovation & Analytics | Adient

  5. Panagiotis Angelopoulos | Chief Data Scientist | Persado Inc

  6. Ashwani Dev | Chief Digital Officer | Crowley

  7. Stephanie Murphy | Director, People Insight & Assessments | Dell Technologies

  8. Brian Trauman | Chief Data Officer - Tax | KPMG LLP

  9. Nic Richmond | Vice Chancellor for Strategy, Analytics and Research | Pima Community College

  10. Michael Caesar | Chief Data & Analytics Officer | University Health Network


9:00pm Eastern
Awards Ceremony Conclusion. *We will try to conclude the awards ceremony as close to 9pm as possible, but it is possible that we conclude before or after 9pm Eastern. 


bottom of page