Balancing Innovation and Governance to Drive Business Value

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 Insight Summit, to discuss the most pressing challenges – and opportunities – for data driven executives.

Key themes under discussion include; aligning technology with people and process through effective data governance, overcoming mindset barriers to adoption and build a data-driven culture, democratizing your data and empowering your citizen data scientists, securing your increasingly accessible data, perfecting data management in the form of quality, classification and cataloging and taking a human-centric approach to AI/ML operationalization.

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.
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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
VP Global Enterprise Architecture, Analytics, BI
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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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
SEVP Retail and Small Business Banking
BankUnited
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Tom Benardo
Chief Data Scientist, PepsiCo Beverages North America, Data Insights and Analytics COE
PepsiCo

6 Challenges with Data

Our summit is focused on solving your strategic challenges
  • Aligning technology with people and process through effective data governance
  • Overcoming mindset barriers to drive adoption and build a data-driven culture
  • Democratizing your data and empowering your citizen data scientists
  • Taking ownership of risk to secure increasingly accessible data
  • Perfecting data management to maintain data quality, classification and cataloging
  • Taking a human-centric approach to AI/ML operationalization
Apply to attend

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
1:15pm - 1:45pm

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
1:45pm - 2:00pm

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

Interview
2:00pm - 2:30pm
A brand exec provides insight into a pressing challenge – what works, what doesn't and which pitfalls to avoid.
Push or Pull: Laying the Foundations of a Data-Driven Culture

A recent NewVantage Partners survey found that only 31% of blue-chip executives would describe their organization as being ‘data-driven’ and only 28% report success in building a culture around strategic data use.

  • How do you create a ‘pull’ for data and technology innovations from employees who want to develop more intelligent business processes rather than taking a supply-driven approach that enacts a ‘tech push’?
  • How will this transform implementation and allow you to see greater ROI on investments?
Panel Discussion
2:30pm - 3:10pm
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.
Feeding the Appetite of the Business: Getting Creative with Data Governance
headshot of Mouneer Odeh
Mouneer Odeh
Chief Data Scientist & VP Enterprise Analytics - Thomas Jefferson University Health System

Traditional approaches to data governance are proving inadequate for delivering the value and scale that a data-driven business demands.

  • How can an adaptive approach transform leaders’ ability to develop an agile governance strategy that suits the context of the various business scenarios they face?
  • How do you adopt adaptive governance as the foundation for your decision framework to feed the appetite of the business for instrumentalizing data?
  • How can leaders successfully balance innovation and governance?
Roundtable Track 1
Session 1 - Challenges
3:15pm - 4:15pm
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.
Aligning Technology with People and Process Through Effective Data Governance

According to Intel, 175 zettabytes of data will be created by 2025 which is the equivalent of 6.5 billion years of high-definition video content and half of that data will be created at the edge.

  • How has traditional data governance, with its focus on policy, compliance and enforcement, become obsolete in the face of this rapidly expanding ocean of data?
  • As the volume of data continues to swell, how can you implement adaptive data governance that is contextual and elastic to business needs at scale?
  • In what way does the nature of your cloud environment (multi cloud, hybrid cloud etc.) influence your data governance strategy?
  • How is the Chief Data Officer role changing and should it report into the IT or business function?
  • How must leaders communicate to generate buy-in from key stakeholders that will support their data strategy?
Roundtable Track 2
Session 1 - Challenges
3:15pm - 4:15pm
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.
Overcoming Mindset Barriers to Drive Adoption and Build a Data-driven Culture
headshot of Leslie Lorenz
Leslie Lorenz
Director of Data & Analytics - lululemon

In a recent NewVantage Partners survey, more than 90% of blue-chip executives cited people and process challenges as the biggest impediments to strategic data objectives. As tech spending continues to grow, it is increasingly important to enact cultural change to achieve ROI.

  • How do you ensure that the efficacy of your technology investments is not negated by cultural mindset barriers?
  • How can you create initiatives devoted to changing human attitudes and behaviors around data for employees at all levels?
  • What language should you use when deploying tools and how will getting it right transform the implementation process?
  • What opportunities will upskilling non-tech employees in data and analytics bring?
  • Are there any challenges that will also arise?
Roundtable Track 3
Session 1 - Challenges
3:15pm - 4:15pm
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 and Empowering your Citizen Data Scientists

To overcome the shortage of data scientists that hinders the progress of most digital transformation initiatives, many organizations are turning to data democratization and implementing self-service analytics tools.

  • How can you accelerate enterprise data science by democratizing skills and empowering citizen data scientists as business analysts and business intelligence engineers?
  • How can augmented analytics optimize your BI capability by enabling citizen data scientists to rapidly generate and harness valuable insight?
  • How do you successfully implement augmented analytics and overcome barriers related to organizational culture?
  • What are the implications and challenges for both expert and citizen data scientists that support and use these tools?
Roundtable Track 4
Session 1 - Challenges
3:15pm - 4:15pm
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 Ownership of Risk to Secure Increasingly Accessible Data

Securing data is often the sole responsibility of the CISO or dedicated security function but as data becomes more accessible to end users, it is a business-critical concern.

  • As 90% of breaches occur due to human error, to what extent is this a risk culture issue and what steps must you take to rectify this?
  • What does it look like to take a holistic approach to securing data, including your security function in all decisions and deployments?
  • How do you manage how your data is being moved and used by both end users and partners who increasingly have access?
  • How can you instrumentalize data lineage and resulting metadata to aid you in guarding against threats?
Roundtable Track 5
Session 1 - Challenges
3:15pm - 4:15pm
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.
Perfecting Data Management to Maintain Data Quality, Classification and Cataloging

As the amount of data flowing through the business and the pace of decision-making accelerates, data management has become the hot topic for boards.

  • How do you maintain the quality of data in varied structures from disparate sources in real-time?
  • How should you publish and distribute catalogs within your organization to ensure they are used in the correct fashion?
  • How do you find the right balance of master data management (MDM) when determining which data is most critical and avoid ‘over mastering’ your data?
  • How will AI augmentation enhance data management infrastructure?
Roundtable Track 6
Session 1 - Challenges
3:15pm - 4:15pm
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 a Human-Centric Approach to AI/ML Operationalization
headshot of Edward Zhang
Edward Zhang
VP Artificial Intelligence - Synchrony Financial

Explainable AI (XAI) is emerging that aims to address how black box decisions of AI systems are made and promote trust and transparency in AI-assisted decision-making. This embodies a call for a more human-centric approach to AI/ML in general.

  • How can you gain visibility into how AI systems make the decisions that they do?
  • How can you reassure employees that AI/ML is here to augment and not replace human capabilities, allowing more time for higher value-adding activities?
  • How can you utilize data lineage to remove unintended bias and prejudice in AI/ML algorithms when using historical data?
  • Who should maintain AI/ML models post-implementation?
  • Should every function have a dedicated data scientist or should you centralize this capability?
Workshop
4:20pm - 5:00pm
Embrace the Chaos: Overcoming the Limits of Conventional Data Management Wisdom

As data is increasingly distributed, changing constantly and touched by so many entities, some experts are calling for a change to how we think about data management, urging leaders to overcome the limits of conventional data management wisdom and create more value by accepting disorder in data rather than striving for full control over it.

  • Is it a fool’s errand to aim for structure, standardization and zero technical debt?
  • How can you create more value by accepting disorder in data?
  • What specific actions are required to stay ‘safe’ amid data chaos?
Workshop
5:05pm - 5:45pm
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, RPA, fraud detection, and more. Join dotData 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.

  • Does this mean we no longer need data scientists?
Networking Drinks
6:00pm - 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.

Keynote
8:00pm - 8:30pm
Gala Dinner Keynote, Q&A
headshot of Sol Rashidi
Sol Rashidi
Former Watson Leader and Chief Data Officer - Royal Caribbean and Sony Music Entertainment

Our Gala Dinner Keynote speaker will share their expert insights on the hottest topic in the space.

Session synopsis TBC.

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 on 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.
It’s a People Problem: Training and Upskilling to Drive Adoption
headshot of Leslie Lorenz
Leslie Lorenz
Director of Data & Analytics - lululemon

Data and analytics capabilities are increasingly decentralized, with more and more end users gaining access to intelligence tools that augment the decision-making process, yet adoption remains a key challenge.

  • How should you upskill and retrain non-tech employees to overcome this challenge?
  • How do you make employees whose core expertise is not data-driven realize the importance of adopting new tools and techniques?
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.
Modern ERP Solutions to the Rescue?

Data is often the slowest and most expensive component of the ML modeling process. In order to avoid ‘garbage-in, garbage-out’, you need robust data and proper labeling so that a model can be accurately trained to identify patterns.

  • How can a modern, end-to-end ERP solution improve data infrastructure and make it easier to integrate third-party data and harmonize data across several departments and locations?
Oxford Style Debate and Live Polling
9:00am - 9:40am
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.
Should the Chief Data Officer (CDO) Report into the Business, Rather Than the IT Function?

Two speakers will give respective statements to represent the ‘yes’ or ‘no’ perspectives in response to this question.

Coffee & Networking Break
9:40am - 10:00am

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

Workshop
10:00am - 10:40am
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 24/7 Surveillance Tool: AI/ML

AI/ML algorithms consume voluminous amounts of data, allowing them to notify analysts of a cyber attack based on pattern irregularities in real time.

  • How can AI-based solutions help to close the gap on cyber threats by adding automation to data privacy, compliance and security processes?
Workshop
10:45am - 11:25am
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?
With Great Power Comes Great Responsibility: Effectively Managing Human Risk

According to Forbes, data breaches exposed 4.1 billion records in the first six months of 2019 and 90% of breaches occur due to human error.

  • As end users increasingly have access to your data, how do you effectively communicate the intricacies of governance policies, especially in the face of changing privacy regulations?
  • How do you build awareness around risk and educate end users to reduce threats without hindering access and resulting innovation?
Keynote
11:30pm - 12:00pm
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.
Out With the Old, In With the New: The Role of RPA in Overcoming Legacy
  • How can Robotic Process Automation (RPA) help to overcome the challenges of legacy systems?
  • What are the advantages of implementing RPA over other potential solutions?
Networking Lunch
12:00pm - 1:15pm

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
1:15pm - 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. Aligning technology with people and process through effective data governance

2. Overcoming mindset barriers to drive adoption and build a data-driven culture

3. Democratizing your data and empowering your citizen data scientists

4. Taking ownership of risk to secure increasingly accessible data

5. Perfecting data management to maintain data quality, classification and cataloging

6. Taking a human-centric approach to AI/ML operationalization

 

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?
Measuring Opportunity Cost on Open Source Tech: A Framework
  • How do you build a framework for analyzing opportunity cost in the realm of open source software that can be used to support architectural decisions?
  • Considering the agility provided by open source software, how do you decide whether this is adding greater value to your business than if your data science talent dedicated their efforts to a standard package?
Workshop
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.
From Black Box to Business Value: The Wider Impact of Explainable AI

As data and analytics leaders become increasingly business-critical, understanding how and why AI systems make the decisions that they do has become a vital capability.

  • How do we gain insight into AI systems? How can we build trust and transparency around AI-assisted decisions across the entire business and help both leaders and end users feel comfortable?
  • How do you upskill and empower employees and minimize job displacement?
  • How will explainable AI impact data ethics and help to prevent bias and prejudice in algorithms?
Coffee & Networking Break
4:00pm - 4:15pm

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

Oxford Style Debate and Live Polling
4:15pm - 4:45pm
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.
Should You Focus on Establishing a Single Version of Truth Rather Than a Single Source of Truth?

Two speakers will give respective statements to represent the ‘yes’ or ‘no’ perspectives in response to this question.

 

Attendee Downtime
4:45pm - 6:45pm

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
6:45pm - 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
7:00 am - 7:50 am

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

Welcome Remarks
7:50 am - 8:00 am

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

Keynote
8:00 am - 8:30 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.
Making It Accessible, Applicable and Repeatable: Operationalizing AI
headshot of Anand Rao
Anand Rao
Global AI Lead - PwC

The possibility that AI/ML brings to transform the way businesses run, interact with customers and create competitive advantage lives up to the hype. However, the number of successful enterprise use cases have been limited as the complexity of deployment has made the concepts hard to design and roll out with consistent results. According to the International Institute for Analytics, less than 10% of AI test projects are deployed into full-scale production.

  • How do you build an outcome-based framework to improve implementation processes?

Dr. Anand S. Rao is a Partner in PwC’s Advisory practice. He is the Global Artificial Intelligence Lead, Cross-vertical Analytics Champion, and the Co-Sponsor for the AI Center of Enablement within PwC. With over 33 years of industry and consulting experience, Anand leads a team of practitioners who work with C-level executives at some of the world’s largest organizations, advising them on a range of topics including global growth strategies, marketing, sales, distribution and digital strategies, behavioral economics and customer experience, and statistical and computational analytics. As the global lead for AI he is responsible for research and commercial relationships with academic institutions and start-ups, research, development and commercialization of innovative AI, big data and analytic techniques. Anand is on the Advisory Board of a number of educational and not-for-profit institutions focused on AI including, AI Global, Nordic AI Institute, and International Congress for the Governance of AI. He has co-edited four books and published over fifty papers in refereed journals and conferences. He is a frequent speaker on Artificial Intelligence, behavioral economics, autonomous cars and their impact, analytics, and technology topics in academic and trade forums.

Workshop
8:35 am - 9:15 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.
Augmented Analytics: The Future of Business Intelligence

Over time, BI has developed from a centralized tool owned and driven by IT to being more self-service in nature, driven for, and sometimes by, the end user. A further paradigm shift is occurring in the shape of augmented analytics.

  • How can implementing augmented analytics transform the analytic process and bridge the gap between BI, data science and ML?
  • What are the implications for both your expert and citizen data scientists?
Workshop
9:20 am - 10:00 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?
Human Language: The Interface of the Future

The Natural Language Processing (NLP) market is predicted to reach $22.3 billion by 2025.

  • How can you best employ these technologies to personalize your customer experience and enhance the efficacy of AI investments?
Roundtable
Session 3 - Outcomes
10:05 am - 11:00 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. Aligning technology with people and process through effective data governance

2. Overcoming mindset barriers to drive adoption and build a data-driven culture

3. Democratizing your data and empowering your citizen data scientists

4. Taking ownership of risk to secure increasingly accessible data

5. Perfecting data management to maintain data quality, classification and cataloging

6. Taking a human-centric approach to AI/ML operationalization

Keynote
11:00 am - 11:30 pm
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.
Fair Machine Learning: The Future of Human-Centric Automation
headshot of Julie Zhu
Julie Zhu
Chief Data Scientist - UnitedHealth Group
  • Why is it necessary to address fairness in relation to machine learning?
  • How can you evaluate and audit your machine learning solutions to ensure fairness and remove bias?
Lunch and Farewells
11:30 pm - 12:00 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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