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: recognizing your customer in a crowded marketplace. What do they want?; targeting your customer and tailor their experience; and maximizing your data and find your customer.

From case studies that lift the lid on operations inside best-in-class organisations, 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.
Image of David Johnson
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David Johnson
VP Business Intelligence
Forbes Media LLC
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Abhijeet Bhandare
Chief Automation Office
GE Power
Image of Robert McDougall
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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 Analytics & Measurement Sciences
Viacom
Image of Vana Matte
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Vana Matte
SVP Technology
JB Hunt
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Angel Singh
Director Digital Analytics & Experimentation
Albertsons
Image of Emigdio Zambada
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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

3 Days - 3 Summit Themes - 3 Workshops
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
Keynote Panel: 'The Dark Art of Data Science': Bridging the Talent Gap
headshot of Jerry Gupta
Jerry Gupta
SVP Tech Enabled Data Driven Innovation - Swiss Re

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
The Impact of Self-Service Analytics Tools on the 'Lack of Talent'
headshot of Tom Benardo
Tom Benardo
Chief Data Scientist - PepsiCo

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

Roundtable
3:50pm - 5:00pm
Attaining, retaining and growing great data scientists

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
3:50pm - 5:00pm
'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
3:50pm - 5:00pm
Optimizing and transforming your data architecture

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
3:50pm - 5:00pm
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 use ML to automate time-consuming tasks such as data preparation, processing, cleaning and entry? How will this 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
3:50pm - 5:00pm
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
3:50pm - 5:00pm
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 legislations of varying severity? 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
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
Keynote Panel: All Things Architecture: Building Your Roadmap

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 - 9:00am
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
9:00am - 9:20am
'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
Will 'democratizing' your data have a positive influence on your decision-making process?

Should employees across your entire organization have access to your data? Will this drive better insights and more efficient decision-making by removing gatekeepers to data or is there a real threat of misinterpretation of data leading to misdirected energies and resources? Is there a risk of duplicated efforts across different departments that is negated by a centralized analysis team? To what extent is this a structural issue, i.e. using silos as an excuse to gatekeep data? Will self-service analytics tools be enough to mediate potential negatives? What are the data security implications? Have your say and explore the answers to all these questions at this live debate and audience polling session!

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
'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
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
Quality Over Big Data Quantity?: Prerequisites for Leveraging Advanced Analytics

How do you judge whether your data is of good enough quality before implementing AI/ML? How can the use of AI tools alongside “dirty data” produce bias in your insights? How can you use ML to automate data preparation, processing, cleaning, entry and other time-consuming tasks associated with data management? What are the pros and potential pitfalls?

Keynote
12:30pm - 1:00pm
The Ethics of Analytics
headshot of Bill Franks
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.

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
1:45pm - 2:30pm
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
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
Transparency and Trust: Augmenting Your Customer Experience

How can Big Data help make your processes more transparent? How do you harness the power of trust to improve your customer experience? Are we now at a point where creating a trustable customer experience takes precedent over creating a frictionless customer experience, i.e. fulfilling a customer’s need as efficiently as possible?

Panel Discussion
4:05pm - 4:45pm
Culture Clash: The Push for Innovation

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
Is having a venture capital mindset the best way to achieve data-driven innovation?

Should we drive cultural change towards a venture capital mindset that facilitates “rapid learning loops”, allowing you to experiment with a greater number of new data tools and strategies and achieve great ROI? Do the advantages outweigh the disadvantages? Is there any way to successfully adopt a venture capital mindset within industries like financial services where they are very conscious of risk management?

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
'Scrambling for Compliance' in the Wake of CCPA: Striking a Balance Between Accessibility and Security

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
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
9:20 am - 10:10 am
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
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
'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?

Closing panel
11:50 am - 1:00 pm
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

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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