On 24 – 26 June 2020, 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 in Naples, Florida for our Data & Analytics 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.
Image of David Johnson
Logo of Forbes Media LLC
David Johnson
VP Business Intelligence
Forbes Media LLC
Image of Abhijeet Bhandare
Logo of GE Power
Abhijeet Bhandare
Chief Automation Office
GE Power
Image of Robert McDougall
Logo of Cushman & Wakefield
Robert McDougall
SVP IT
Cushman & Wakefield
Image of Marcos Peralta
Logo of Mastercard
Marcos Peralta
Senior Vice President, Product Development Global Lead for Insights, Analytics
Mastercard
Image of Christopher Cerruto
Logo of Avis Budget Group
Christopher Cerruto
Vice President, Global Architecture and Analytics
Avis Budget Group
Image of Oktay Arifkhan
Logo of Viacom
Oktay Arifkhan
SVP, Data & Decision Sciences
Viacom
Image of Vana Matte
Logo of JB Hunt
Vana Matte
SVP Technology
JB Hunt
Image of Angel Singh
Logo of Albertsons
Angel Singh
Director Digital Analytics & Experimentation
Albertsons
Image of Emigdio Zambada
Logo of Nationwide
Emigdio Zambada
Director, Data Analytics
Nationwide
Image of Ylan Kazi
Logo of UnitedHealth Group
Ylan Kazi
VP Data Science & Machine Learning
UnitedHealth Group
Image of Pierre Theodore
Logo of Johnson & Johnson
Pierre Theodore
Vice-President Global External Innovation
Johnson & Johnson
Image of Gerry Litrento
Logo of BankUnited
Gerry Litrento
EVP Retail and Small Business Banking
BankUnited

6 Challenges with Data

Our summit is focused on solving your strategic challenges
  • Addressing the skills shortage: how to attract, retain and grow great data scientists
  • Self-service analytics: the pros and cons of democratizing your data
  • Building the right foundation: tips to optimize and transform your data architecture
  • Rethinking experience: leveraging advanced analytics to transform UX and CX
  • Creating a culture of innovation: generating buy-in to fund and implement your projects
  • Data privacy and security: practical steps to ensure compliance and drive innovation
Apply to attend

Past Summit Schedule

Day 1
Day 2
Day 3
Wednesday June 24, 2020
Summit registration
1:00pm - 6:00pm

Join us at 1.00 pm when registration opens to collect your badge, check-in, meet the on-site team, and start your 2.5 day Summit experience.

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

Our VP of Sales will brief you on the next 2 ½ days at the summit, giving you all the information you’ll need for your 1-2-1 meetings, the networking sessions and what to expect to maximize your summit experience.

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

Our Master of Ceremonies will kick off the Summit with a welcome brief and orientation session, giving you all the information you need to maximize your Summit experience

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

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?

Keynote
3:30pm - 3:50pm
A brand exec provides insight into a pressing challenge – what works, what doesn't and which pitfalls to avoid.
Successfully Implementing Self-Service Analytics

As more and more self-service analytics tools appear on the market, how can a move away from centralized IT and ‘analytics to order’ transform decision-making processes across your organization? This talk will outline how the benefits of self-service analytics outweigh those of the more traditional, centralized analytics model.

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.
Addressing the skills shortage: how to attract, retain and grow 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 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.
Self-service analytics: the pros and cons of democratizing your data
  • 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?
  • What are the potential pitfalls of democratizing your data?
  • 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.
Building the right foundation: 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 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.
Rethinking experience: leveraging advanced analytics to transform UX and CX
  • Are you harnessing the power of predictive analytics to give you the competitive edge by providing insights into consumers’ future behavior?
  • What are the challenges you’re facing in getting in getting value from your AI initiatives and projects? What are you doing to overcome those barriers?
  • How well are business managers and executives utilizing analytics to make decisions? What barriers do you see between analytics and decisions?
  • Are you able to connect and inform decisions between different areas of the business – e.g. marketing and supply chain?
  • Should you wait for data quality to improve before diving into AI or get going with good enough data?
  • How can you use ML to automate data preparation, data processing, data entry and other time-consuming tasks associated with data management?
  • How can emerging technologies like NLP, 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: generating buy-in to fund and implement your projects
  • 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.
Data privacy and security: practical steps to ensure compliance and drive innovation
  • 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

This is a show and tell with the entire delegation, lead by the roundtable moderators. Hear other challenges, perspectives, and topics that will set the tone for the Summit.

Networking Drinks
5:30pm - 7:00pm

A casual setting to network and meet the rest of the attendees and discuss relevant topics at your leisure.

 

Gala dinner
7:00pm - 10:00pm

Join us for our Gala Dinner & Keynote Speaker. An opportunity to network with your peers in a social environment with a three course dinner and wine whilst listening to an industry leader discuss a key topic.

Thursday June 25, 2020
Breakfast
7:00am - 7:50am

Please come down and join us for breakfast and prepare for a day of workshops, keynotes, debates and panels.

Welcome Remarks
7:50am - 8:00am

Our Master of Ceremonies will brief you into the day 2 program to make sure you are in the right place at the right time.

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

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
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.
AI/ML Data Operations in a Digital Privacy Compliant World

Details to Follow.

Keynote
9:00am - 9:30am
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

How can siloed data, caused by legacy systems and/or mergers and acquisitions, inhibit innovation in your organization? What are the roles of microservices, APIs and RPA in overcoming the challenges posed by data silos? This session will evaluate these three technologies and outline the potential pitfalls you should avoid.

Oxford Style Debate and Live Polling
9:30am - 10:10am
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 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
10:10am - 10:25am

Take a break and refuel whilst networking and socializing with your peers.

Case Study
10:25am - 11:05am
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.
Enterprise Architecture: Linking the Physical and Digital Worlds

Traditionally, enterprise architecture case studies focus on high transaction environments (retail, financial services etc.) but how do you organize and utilize your data in business models that operate more in the physical world (e.g. manufacturing, agriculture etc.)? This session, moderated by the host, will facilitate cross-vertical experiences of promoting digitization across all aspects of the business and harnessing real time analytics to drive innovation and improve decision-making processes.

Workshop
11:10am - 11:50am
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?
AutoML: Does AutoML Replace Your Data Scientist?

Automated machine learning (AutoML) is one of the key emerging technologies for financial service companies to accelerate their AI/ML use cases such as risk management, digital marketing automation, robotic process automation, fraud detection, and more. Does this mean we no longer need data scientists? Join dotData CEO, Dr. Ryohei Fujimaki, to explore AutoML and the world of Data Science Automation and understand the critical capabilities of AutoML and to see how automation impacts the world of business today.

Panel Discussion
11:55am - 12:35pm
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

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
12:40pm - 1:10pm
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

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
1:15pm - 1:55pm

Join us for a sit-down lunch, and a chance to catch up on emails and get ready for the afternoon.

Roundtable
Session 2 - Discovery
2:00pm - 2:40pm
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. Addressing the skills shortage: how to attract, retain and grow great data scientists

2. Self-service analytics: the pros and cons of democratizing your data

3. Building the right foundation: tips to optimize and transform your data architecture

4. Rethinking experience: leveraging advanced analytics to transform UX and CX

5. Creating a culture of innovation: generating buy-in to fund and implement your projects

6. Data privacy and security: practical steps to ensure compliance and drive innovation

 

Workshop
2:45pm - 3:25pm
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?
Creating An Agile Data Science Environment

There are a number of challenges facing data science teams, e.g. a lack of data, talent and culture. This talk will explore how you can develop an agile data analytics capability with a focus on use cases, model discovery and deployment.

Case Study
3:30pm - 4:10pm
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

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.

Panel Discussion
4:15pm - 4:55pm
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

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
5:00pm - 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 Rather Than a Risk-Based Approach

For: A venture capital mindset that does not focus on ROI right out of the gate is needed to drive innovation.

Against: Innovation requires a business outcome and so there must be a focus on benchmarks, a value statement and due diligence, meaning a risk-based approach is preferable.

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

 

Attendee Downtime
5:40pm - 7:00pm

A needed break after a content filled day. Please use this time as you wish prior to joining us for our night 2 seated dinner.

Networking Drinks
7:00pm - 7:30pm

A casual setting to network and meet the rest of the attendees and discuss relevant topics at your leisure.

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

Join us for our night two Gala Dinner, which will be in a casual and inviting setting.

Friday June 26, 2020
Breakfast
7:30 am - 8:20 am

Please come down and join us for breakfast and prepare for a day of workshops, keynotes, debates and panels.

Welcome Remarks
8:20 am - 8:30 am

Our Master of Ceremonies will brief you into the day 3 program to make sure you are in the right place at the right time.

Case Study
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.
Unlikely Allies: Cloud Data Risk

How can you build alliances that allow you to use cloud and data transformation-related risk to your advantage? This talk will take a 2nd line operational risk perspective to tell the story of unlikely allies in overcoming the challenges associated with a huge data transformation in which the cloud plays a critical role.

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.
Evaluate, Calibrate and Communicate: Creating a Yardstick for BI, Analytics and Data Science

With the growing expansion and increased adoption of Business Intelligence, Analytics, and Data Science, this session will present some perspectives that provide a “yardstick” to evaluate, calibrate, communicate, structure, and mature BI, Analytics, and Data Science teams in an organization.

Coffee and Networking Break
9:20 am - 9:35 am

Take a break and refuel whilst networking and socializing with your peers.

Case Study
9:35 am - 10:15 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.
Adaptive Data Governance: Moving From CYA to FYI

How can you formalize a data governance strategy for your organization that is aligned with the strategic priorities of the business? How will taking an ‘adaptive governance’ approach, i.e. treating data governance as a key asset for improving performance, rather than viewing it purely from a compliance liability standpoint, transform your governance model?

Workshop
10:20 am - 11:00 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?
The Power of Predictive Analytics

This session will not only shed light on the challenges associated with predictive analytics but also touch on success stories from an organization that has recently brought on a new data science team to enhance their in-house predictive analytics capability. How can you harness the power of predictive analytics to provide reliable insights into future customer engagement; preempting attrition, enhancing customer journey, etc.?

Roundtable
Session 3 - Outcomes
11:05 am - 11:45 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. Addressing the skills shortage: how to attract, retain and grow great data scientists

2. Self-service analytics: the pros and cons of democratizing your data

3. Building the right foundation: tips to optimize and transform your data architecture

4. Rethinking experience: leveraging advanced analytics to transform UX and CX

5. Creating a culture of innovation: generating buy-in to fund and implement your projects

6. Data privacy and security: practical steps to ensure compliance and drive innovation

Panel Discussion
11:50 am - 12:30 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

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 - 2:30 pm

Before you head home, make sure you grab something from our buffet-style lunch for your journey ahead.

Summit Location

The Ritz-Carlton, Naples, 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.

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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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