On 4 – 6 November 2019, a host of North America’s most senior decision-makers and business leaders from across multiple industries will descend upon the wonderful The Ritz-Carlton, Sarasota in Florida for our Data Innovation Insight Summit, to discuss the most pressing challenges – and opportunities – for data driven executives.

Key themes under discussion include; building a great data science capacity within your organization, the pros and cons of democratizing your data, optimizing your data architecture, leveraging advanced analytics, creating a culture of innovation and ensuring compliance by championing data privacy and security.

From case studies that lift the lid on operations inside best-in-class organizations, to workshops and collaborative sessions that focus on real challenges and future technology innovations, to one-to-one meetings with industry peers offering practical advice tailored to your specific needs, the summit provides you with everything you need to implement your key projects more effectively.

Our Approach

Every GDS Summit has one stated aim: to help attending executives implement their key projects more effectively. We do this by developing an in-depth understanding of those executives' project needs, the business outcomes they want to achieve, and the challenges they face in terms of hitting those goals.

Who Attends

Our summits are designed for executives looking to take their business to the next level – from market-leading brands to disruptive new entrants. As such, we’ve worked with some of the world’s best-loved and most forward-thinking businesses.
Apply to attend

Past Attendees

At previous events we've helped executives from some the world's most significant firms - as well as the most forward-thinking - to address their project challenges.
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David Johnson
VP Business Intelligence
Forbes Media LLC
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Abhijeet Bhandare
Chief Automation Office
GE Power
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Robert McDougall
SVP IT
Cushman & Wakefield
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Marcos Peralta
Senior Vice President, Product Development Global Lead for Insights, Analytics
Mastercard
Image of Christopher Cerruto
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Christopher Cerruto
Vice President, Global Architecture and Analytics
Avis Budget Group
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Oktay Arifkhan
SVP, Data & Decision Sciences
Viacom
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Vana Matte
SVP Technology
JB Hunt
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Angel Singh
Director Digital Analytics & Experimentation
Albertsons
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Emigdio Zambada
Director, Data Analytics
Nationwide
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Ylan Kazi
VP Data Science & Machine Learning
UnitedHealth Group
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Pierre Theodore
Vice-President Global External Innovation
Johnson & Johnson
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Gerry Litrento
EVP Retail and Small Business Banking
BankUnited

6 Challenges with Data

Our summit is focused on solving your strategic challenges
  • Attracting, retaining and growing great data scientists to implement your data strategy and drive innovation
  • The pros and cons of ‘democratizing’ your data and the impact of self-service analytics
  • Optimizing and transforming your data architecture while remaining agile and allowing for scalability
  • Leveraging advanced analytics (AI, ML, IoT) to not only transform your business model but also augment your customer and user experience
  • Creating a culture of innovation and generating organizational buy-in to secure funding for your projects
  • Taking practical steps to ensure compliance and champion data privacy and data security
Apply to attend

Summit Schedule

Day 1
Day 2
Day 3
Monday November 4, 2019
Summit registration
1:00pm - 6:00pm

Grab your name badge, say hello, activate the onsite app and prepare to leave the office behind for two-and-a-half days of networking, learning and intelligence gathering.

Solution Provider Briefing
2:00pm - 2:30pm

Details To Follow.

Welcome Remarks and Delegate Briefing
2:30pm - 2:45pm

What? When? How? Where? Join our Master of Ceremonies for a brief welcome and orientation session, where we’ll explain your itinerary for the next few days.

Panel Discussion
2:45pm - 3:30pm
The perspectives of 4-5 industry experts into one of the key challenges we're all facing today. This will be moderated to create a session of different perspectives, opinions and tangible takeaways of how our panelists are tackling them.
Keynote Panel: 'The Dark Art of Data Science': Bridging the Talent Gap
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Jerry Gupta
SVP Tech Enabled Data Driven Innovation - Swiss Re
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Bala Vaidyanathan
Director, Advanced Analytics and Industry Research - FedEx
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Srujana Kaddevarmuth
Director, Data Science and Value Realization - Walmart Labs
headshot of Emigdio Zambada
Emigdio Zambada
Director, Data Analytics - Nationwide
headshot of Trupti Natu
Trupti Natu
Global Head of Risk Strategy & Analytics - Uber Eats - Uber

The 2018 LinkedIn Workforce Report confirmed that there was a shortage of 151,717 data scientists in the US alone. Businesses of all sizes are realizing that data skills will determine the fate of their companies. How can you overcome the ‘lack of talent’ in data science and optimize your capacity to utilize the data you collect?

Interview
3:30pm - 3:50pm
A one on one interview diving into the details of how to prepare yourself for the realities of one of the industry's top challengers.
Implementing Self-Service Analytics
headshot of Tom Benardo
Tom Benardo
Chief Data Scientist, PepsiCo Beverages North America, Data Insights and Analytics COE - PepsiCo

With the recent announcement of an IBM-Trifacta partnership focused on self-service analytics tools, how can investing in self-service analytics tools impact decision-making processes in your organization?

Tom is currently Chief Data Scientist for PepsiCo’s Beverages North America business unit.  Having supported PepsiCo in a variety of business roles prior to his focus on IT, he has long been an advocate for agile, self-service business analytics.  Tom primarily promotes data empowerment through effective data engineering and data identification/education.  Tom’s interests outside PepsiCo include volunteering as a STEM mentor and Public Speaking.

Roundtable Track 1
Session 1 - Challenges
3:50pm - 5:00pm
It’s all about identifying your challenges. What are the key questions that keep you up at night? What solutions are you looking for? Find common ground.
Attaining, retaining and growing great data scientists
headshot of Tom Warden
Tom Warden
Chief Data & Analytics Officer - Employers

How does the ‘lack of talent’ in data science lower your capacity to utilize the data you collect? How do you make your company an attractive place to work for data scientists? Does the problem lie in a lack of skilled data scientists or in a lack of good leadership? What makes a good data-driven leader? Are you ‘putting the cart before the horse’ by building your data science before your data engineering capacity?​

Roundtable Track 2
Session 1 - Challenges
3:50pm - 5:00pm
It’s all about identifying your challenges. What are the key questions that keep you up at night? What solutions are you looking for? Find common ground.
'Democratizing' your data
headshot of Mukesh Sharma
Mukesh Sharma
Head of Data Engineering - MassMutual

How can ‘democratizing’ your data drive better insights and decision-making across your organization? Will promoting data literacy, upskilling and cross-training your workforce in data science create an internal candidate pool for your data science team(s)? How else will these tools affect your dedicated data science team(s)? Will they improve their employee experience? How will a data-driven workforce change how upper management communicates within your organization?

Roundtable Track 3
Session 1 - Challenges
3:50pm - 5:00pm
It’s all about identifying your challenges. What are the key questions that keep you up at night? What solutions are you looking for? Find common ground.
Optimizing and transforming your data architecture
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Anindya Misra
Director, Data Engineering - Capital One

What is the best method of overcoming data silos caused by disparate data points, legacy systems and mergers and acquisitions? How do you assess where you are, what data you have and map it to the architecture that best fits your organization to achieve a single unified view that facilitates advanced analytics? How do you remain agile, ensuring that you are still able to adapt in the future, avoiding vendor lock-in and allowing for scalability? How do you decide between cloud, on prem or hybrid cloud storage?

Roundtable Track 4
Session 1 - Challenges
3:50pm - 5:00pm
It’s all about identifying your challenges. What are the key questions that keep you up at night? What solutions are you looking for? Find common ground.
Leveraging advanced analytics to augment your user and customer experience

Do you have enough data of good enough quality to successfully implement AI tools? Can the use of AI potentially hinder organizations that do not? How can you prevent “dirty data” from creating bias in your algorithms? How will using ML to automate time-consuming tasks such as data preparation, processing, cleaning and entry change the nature of your workforce? Are you harnessing the power of predictive analytics to give you the competitive edge by providing insights into future consumer behaviours? How can emerging technologies such as NLP, RPA, text and video recognition be best used to personalize your user experience?

Roundtable Track 5
Session 1 - Challenges
3:50pm - 5:00pm
It’s all about identifying your challenges. What are the key questions that keep you up at night? What solutions are you looking for? Find common ground.
Creating a culture of innovation within your data ecosystem

How do you drive the usage and adoption of new technologies, uprooting users and promoting a new way of doing things? How do you align your data strategy with your corporate strategy to convince the whole organization of its value and secure funding for your projects? How do you create frictionless collaboration within your data ecosystem – people, tools and data?

Roundtable Track 6
Session 1 - Challenges
3:50pm - 5:00pm
It’s all about identifying your challenges. What are the key questions that keep you up at night? What solutions are you looking for? Find common ground.
Taking practical steps towards data privacy and security
headshot of Dana Henderson
Dana Henderson
Chief Counsel – Technology, Data Privacy and Security - US LBM

How do you comply with different state and/or international legislations of varying severities? What is the role of automated solutions in managing compliance across jurisdictions? How do you educate employees across the whole organization to ensure that they do not breach? How do you walk the line between regulation and still making data accessible for analysis? Should you buy or build solutions?

Roundtable Feedback
5:00pm - 5:30pm

Details To Follow.

Networking Drinks
6:00pm - 7:00pm

Time to kick off your heels, loosen those ties and get to know your fellow summit attendees. Relax, drinks are on us.

Gala Dinner
7:00pm - 10:00pm

Time for some fun; you’ve earned it. Join us for our night’s dinner and entertainment. Details to follow.

Keynote
8:00pm - 8:30pm
Our Keynote speaker will be addressing the entirety of Summit attendees during our Gala Dinner. They will be going beyond the 'brand story' and sharing their experience and the real truths of tackling a challenge that is shaping the industry.
Gala Dinner Keynote, Q&A

Details To Follow.

Tuesday November 5, 2019
Breakfast
7:00am - 8:00am

The most important meal of the day. Get yourself set for a productive day by joining us for coffee, croissants and more.

Welcome Remarks
7:50am - 8:00am

Details To Follow.

Panel Discussion
8:00am - 8:30am
The perspectives of 4-5 industry experts into one of the key challenges we're all facing today. This will be moderated to create a session of different perspectives, opinions and tangible takeaways of how our panelists are tackling them.
Keynote Panel: All Things Architecture: Building Your Roadmap
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Patrick Rice
VP Data Science and Analytics - Fooda
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Srinath Reddy
Senior Director, IT Strategy, Innovation and Analytics - Aon
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Greg Robinson
Chief Data & Analytics Officer - Marshfield Clinic Health System
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Robert Roser
Chief Data Officer and Director of Data Management - Idaho National Laboratory

How do you identify which data architecture will best optimize your organization and its data? In what way does the format of your data (structured, unstructured, semi-structured etc.) influence your decisions? How do you transform yet still remain agile?

Keynote
8:30am - 8:50am
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
Cloud vs. On Prem: A Hybrid Future?

How can you fully embrace the cloud? What are the pros and cons of these three different storage architectures: Cloud, on prem and hybrid cloud?

Keynote
8:50am - 9:20am
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
'The Biggest Inhibitors to Innovation': Unlocking Your Infrastructure

What are the challenges posed by siloed data? How are disparate data points, legacy systems and/or mergers and acquisitions inhibiting innovation in your organization? How can you overcome these challenges and achieve a single enterprise view? What is the role of Robotic Process Automation (RPA), microservices and APIs in overcoming these challenges?

Oxford Style Debate and Live Polling
9:20am - 10:00am
One Topic. Two experts. Two opinions. You'll get the chance to vote on where you stand before the session starts. We'll then hear from our two experts, to see if they can sway your opinion when you participate in the closing vote.
‘Democratizing’ your data will always have a positive influence on your decision-making processes.

For: ‘Democratizing’ your data will always drive better insights and more efficient decision-making by removing gatekeepers to data across your organization.

Against: There is a real threat of misunderstanding, misdirected energies and duplicated efforts across different departments that is negated by a centralized analysis team.

Issues to consider: Data security implications, the impact of self-service analytics and data silos.

Coffee & Networking Break
10:00am - 10:15am

Take advantage of time to network with fellow summit attendees and further discuss your business transformation projects.

Case Study
10:15am - 10:55am
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
'Digitizing Dirt': Linking the Physical and Digital Worlds

Traditionally, enterprise architecture case studies focus on high transaction environments (retail, financial services etc.) How do you organize and utilize your data in business models that operate more in the physical world (e.g. manufacturing, agriculture etc.)? How has a company in the agricultural industry promoted digitization across all aspects of the business, harnessing real time analytics to drive innovation and improve decision-making processes?

Workshop
11:00am - 11:40am
An industry expert will lead an interactive workshop tackling common challenges and scenarios, engaging the audience to confront the issues and discuss ideas. What will your proposed solutions be?
Integrating your Legacy Systems with Robotic Process Automation (RPA)

How can RPA help to overcome the challenges posed by legacy systems? What are the advantages of implementing RPA over other solutions?

Panel Discussion
11:45am - 12:25pm
The perspectives of 4-5 industry experts into one of the key challenges we're all facing today. This will be moderated to create a session of different perspectives, opinions and tangible takeaways of how our panelists are tackling them.
Quality Over Big Data Quantity?: Prerequisites for Leveraging Advanced Analytics
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Peter Geovanes
Head of Data Strategy, AI and Analytics - Winston & Strawn LLP

How do you judge whether your data is of good enough quality before implementing AI/ML? How do you decide what datasets your team needs to implement different use cases? To what extent does data lineage decide the success of a project? How can the use of AI tools alongside “dirty data” produce bias in your insights? How can you use machine learning to automate data quality rules?

Keynote
12:30pm - 1:00pm
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
The Ethics of Analytics
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Bill Franks
Chief Analytics Officer - International Institute for Analytics

As more and more data is being collected, concerns are constantly being raised about what data is appropriate to collect and how (or if) it should be analyzed. There are many ethical, privacy, and legal issues to consider and no clear standards exist in many cases as to is fair and what is foul. This means that organizations must consider their own principles and risk tolerance in order to implement the right policies. This talk will cover a range of ethical, privacy, and legal issues that surround analytics today. It will frame the big questions to consider while providing some of the tradeoffs and ambiguities that must be addressed to answer those questions.

Bill Franks is Chief Analytics Officer for The International Institute For Analytics (IIA). Franks is also the author of Taming The Big Data Tidal Wave and The Analytics Revolution. He is a sought after speaker and frequent blogger who has been ranked a top 10 global big data influencer, a top global artificial intelligence and big data influencer, and was an inaugural inductee into theAnalytics Hall of Fame. His work has spanned clients in a variety of industries for companies ranging in size from Fortune 100 companies to small non-profit organizations. You can learn more at http://www.bill-franks.com.

Networking Lunch
1:00pm - 1:45pm

Worked up an appetite? Recharge those batteries with our buffet-style lunch, and prepare to meet the afternoon head-on.

Roundtable
Session 2 - Discovery
1:45pm - 2:30pm
Learning and sharing with your group. What are the solutions? Are they readily available? What path are you going to take?
Drill Down Roundtables

1. Attaining, retaining and growing great data scientists

2. ‘Democratizing’ your data

3. Optimizing and transforming your data architecture

4. Leveraging advanced analytics to augment your user and customer experience

5. Creating a culture of innovation within your data ecosystem

6. Taking practical steps towards data privacy and security

Workshop
2:35pm - 3:15pm
An industry expert will lead an interactive workshop tackling common challenges and scenarios, engaging the audience to confront the issues and discuss ideas. What will your proposed solutions be?
Advancements in Conversational Analytics

The role of emerging technologies like natural language processing (NLP), text and video recognition in personalizing, and therefore revolutionizing, your user experience. How do you strike a balance between practical and creepy when it comes to personalization?

Case Study
3:20pm - 4:00pm
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
Transparency and Trust: Augmenting Your Customer Experience
headshot of Troy Janisch
Troy Janisch
Director, Social Intelligence - US Bank

Companies often use dashboards and satisfaction surveys to determine and measure the quality of their customer experience. They rarely use sources of authentic, unsolicited customer feedback effectively. In this session, learn how you can leverage online review sites and social media to better, benchmark and boost your company’s customer experience measures.

Troy Janisch is VP/Director of the Social Intelligence team at U.S. Bank and teaches MBA courses for St. Thomas University in the Twin Cities. He is a social media beatnik, citizen data scientist, blogger, and marketer with two decades of experience.

Panel Discussion
4:05pm - 4:45pm
The perspectives of 4-5 industry experts into one of the key challenges we're all facing today. This will be moderated to create a session of different perspectives, opinions and tangible takeaways of how our panelists are tackling them.
Culture Clash: The Push for Innovation
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Joanne Crudele
Global R&D Director, Beauty & Personal Care Digital Transformation - Unilever
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Geetanjali Tandon
Digital Transformation Finance Director - Bayer Crop Science
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Ryan Hamann
Director, Enterprise Data Management - Cargill

Are organizations that approach data as a problem from a technology perspective doomed to fail? Should we instead approach data from a holistic, cultural perspective? How do you simultaneously uproot users and promote the adoption of new technologies? While you need top down support, does change really happen from the bottom up? How do you reach middle management level? How do you achieve frictionless collaboration within your data ecosystem?

Oxford Style Debate and Live Polling
4:45pm - 5:40pm
One Topic. Two experts. Two opinions. You'll get the chance to vote on where you stand before the session starts. We'll then hear from our two experts, to see if they can sway your opinion when you participate in the closing vote.
You should drive innovation with a venture capital mindset that achieves ROI via “rapid learning loops”.
headshot of Eric Acton
Eric Acton
Head of Innovation Ecosystems - Rolls-Royce

For: A venture capital mindset achieves great ROI as you are able to experiment with a greater number of new data tools and strategies.

Against: There is too much risk associated with a venture capital mindset that is negated by the more traditional R&D approach to experimentation, therefore optimizing ROI in the long term.

Issues to consider: Navigating company politics to secure funding and industry variables.

Eric Acton is the Head of Innovation Ecosystems at R2 Data Labs; the innovation catalyst, enabler and accelerator for Rolls-Royce’s digital transformation. He is an entrepreneurial, pioneering, digital business and technology leader. Having had first-hand experience in disrupting and transforming businesses in different industries, he has seen and influenced a number of different approaches to evolving traditional enterprises into a digital-first mindset. He has worked with a portfolio of some of the biggest global brands, including Rolls-Royce, Dell, PwC, CapitalOne, Charles Schwab, Fidelity Investments, Wells Fargo, HP, Cisco, DirecTV, BHP, Omnicom and others. You can reach him via LinkedIn or Twitter.

Attendee Downtime
5:40pm - 7:00pm

Time for a well-deserved break in your busy schedules.

Networking Drinks
7:00pm - 7:30pm

Time to kick off your heels, loosen those ties and get to know your fellow summit attendees. Relax, drinks are on us.

Dinner and Entertainment
7:30pm - 10:00pm

Time for some fun; you’ve earned it. Join us for our second night’s dinner and entertainment. Details to follow.

Wednesday November 6, 2019
Breakfast
7:30 am - 8:20 am

The most important meal of the day. Get yourself set for a productive day by joining us for coffee, croissants and more.

Welcome Remarks
8:20 am - 8:30 am

Details To Follow.

Keynote
8:30 am - 8:50 am
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
'Scrambling for Compliance': Striking a Balance Between Accessibility and Security
headshot of James Brunson
James Brunson
Director, Enterprise Data Oversight - Fannie Mae

How will new state regulations like CCPA affect business processes? How do you triumph data privacy at every stage of your data governance process? How do you educate employees throughout your organization to ensure that they do not breach, while also combating miseducation around legislation that unnecessarily limits your data’s accessibility? Where are the opportunities in the next phase of data regulation?

Keynote
8:50 am - 9:20 am
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
Automating for Compliance

With state legislations of varying severities appearing across the US, how can we automate compliance to accommodate regulations across multiple jurisdictions?

Roundtable
Session 3 - Outcomes
9:20 am - 10:10 am
What does it all mean. Tracing back through two days of work, where are we? What you are bringing back to the office with you.
Drill Down Roundtables

1. Attaining, retaining and growing great data scientists

2. ‘Democratizing’ your data

3. Optimizing and transforming your data architecture

4. Leveraging advanced analytics to augment your user and customer experience

5. Creating a culture of innovation within your data ecosystem

6. Taking practical steps towards data privacy and security

Coffee and Networking Break
10:10 am - 10:25 am

Take advantage of time to network with fellow summit attendees and further discuss your business transformation projects.

Case Study
10:25 am - 11:05 am
A brand exec takes you behind the scenes, providing insight into a successful project implementation – what worked, what didn’t and which pitfalls to avoid.
Beyond Compliance: Becoming an Ethics Driven Organization

What does it mean to go beyond compliance and become ethics-driven in terms of data governance? What are the advantages of becoming ethics-driven rather than compliance-driven? How can you successfully communicate this goal to both customers and employees?

Workshop
11:10 am - 11:50 am
An industry expert will lead an interactive workshop tackling common challenges and scenarios, engaging the audience to confront the issues and discuss ideas. What will your proposed solutions be?
'Build or Buy?': Securing Your Data

This year eSentire announced that nearly half of firms suffer data breaches at the hands of vendors. More and more senior executives are facing the ‘build or buy’ question when it comes to solutions. If you are only as secure as everyone you are working with, should you build or buy solutions? How can you be sure that vendors will not become your weakest link? Alternatively, how can vendors offering data security solutions potentially enhance your data privacy framework?

Panel Discussion
11:50 am - 1:00 pm
The perspectives of 4-5 industry experts into one of the key challenges we're all facing today. This will be moderated to create a session of different perspectives, opinions and tangible takeaways of how our panelists are tackling them.
Closing panel
headshot of Dana Henderson
Dana Henderson
Chief Counsel – Technology, Data Privacy and Security - US LBM
headshot of Mukesh Sharma
Mukesh Sharma
Head of Data Engineering - MassMutual
headshot of Tom Warden
Tom Warden
Chief Data & Analytics Officer - Employers

What have been the most interesting discussion points over the last few days? What are the key takeaways? Are there any immediate actions to be implemented? And what further questions have emerged?

Lunch & farewells
1:00 pm - 2:00 pm

Worked up an appetite? Recharge those batteries with our buffet-style lunch for your journey home.

Summit Location

The Ritz-Carlton, Sarasota, Florida

Our events take place at some of the most prestigious venues in the world. Five-star accommodation, dining and amenities make attending one of our summits both business and pleasure. Being productive has never been so much fun.

Popular content from our Summits

GDS Summits host experts to help experts. Our speakers are leading executives willing to share their insight to change the industry and the world in critical ways.

To discuss how GDS Summits can help you solve your project challenges contact us on: 0117 921 4000 or email sayhello@gdsgroup.com.

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