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® ® NEW YORK 2019 AI MEANS BUSINESS EXPLAINABLE PRACTICAL RESPONSIBLE

11-12 DECEMBER 2019 THE JAVITS CENTER

REGISTER NOW CONTACT US TO ENQUIRE ABOUT DISCOUNTED RATES - LIMITED PLACES LEFT 2019 PROGRAM REGISTER ® NOW USE THE DIAGRAM BELOW TO NAVIGATE YOUR WAY AROUND THE NEW PROGRAM SAVE UP TO $1,000 WHEN YOU BOOK BY 12 NOVEMBER BY CLICKING ON THE INDIVIDUAL CONTENT TRACKS, YOU BRINGING THE AI WILL BE ABLE TO FIND OUT FOR MORE INFORMATION COMMUNITY TOGETHER

STRATEGIC IMPLEMENTATION – INTELLIGENT EXECUTION – PIONEERING OPTIMISATION DELIVER IMPLEMENT DEVELOP DAY 1 ONLY DAY 1 & 2 STAGE STAGE STAGE The AI Summit New York is designed to provide the platform to both turbocharge and safeguard your organisations’ AI journey. Whether AI FINANCE SUMMIT AI TRAINING ACADEMY through one-to-one engagement with AI pioneers, world-exclusive presentations from leading business strategists, or deep-dive workshops In partnership with the Innovation Academy, this year’s with the brightest minds in tech. AI RETAIL SUMMIT new AI Academy Track will Across 8 content tracks, zonal exhibition, and dozens of workshops and show floor features – the AI Summit remains laser-beam focussed feature a 2-day training program of high-impact short courses, on genuine use-cases, real life business applications, and success stories from across business functions, and across core industry verticals. NEW NEW NEW DAY 2 ONLY designed specifically for the This presents a unique opportunity to access and engage with a cross-section of decision makers across The Enterprise in a single event. enterprise developer, data AI AI scientist, and software engineer AI HEALTHCARE SUMMIT IMPLEMENTATION DEVELOPMENT community. From the C-Suite leaders establishing the AI strategy (Deliver Community) to the technical and line of business leads who manage and LOUNGE STUDIO LAB deliver the implementation of AI projects (Implement Community) through to the internal advocates and technical talent building and integrating AI (Develop Community). VIEW SESSIONS VIEW SESSIONS VIEW SESSIONS AI SALES & MARKETING SUMMIT Our audience – across two short days – are provided with a unique opportunity to conduct an end-to-end examination of enterprise challenges associated with AI, and really get a thorough understanding of what – and who - is required to deliver a successful project in their business, from top to bottom. STAR KEYNOTES

Atish Banerjea Bjorn Austraat Elizabeth Carrasco Rich Dutton Hassan Tetteh Lori Beer Yousuke Okada Sandeep Bajaj Nosa Omoigui Jose Murillo Andy Peart Serkan Piantino Global CIO SVP, AI Enterprise Solutions CTO Head of Machine Learning for Health Mission Chief Global Chief Information Founder & CEO Group Chief Digital Officer Founder and CEO Chief Analytics Officer Chief Marketing and Strategy Founder and CEO Facebook - Agile AI CBS Interactive Corporate Engineering Department of Defense Officer Abeja Everest Re Weave Banorte Officer Spell Wells Fargo JPMorgan Chase Artificial Solutions

Monica Caldas Jeff McMillan Aditi Baker Ryan Kee T. Scott Clendaniel Paritosh Desai Stephen Wong Phil Gray Sanjay Srivastava Lawrence Edmondson Mike Berger Tolga Kurtoglu VP and CIO Chief Analytics and Data VP - Head of Pricing & Portfolio Director - Innovation, AI Chief Data Scientist - Strategic Chief Data and Analytics Chief Research Informatics EVP Corporate Development SVP, Chief Digital Officer SVP of Technology VP, Chief Data & Analytics Officer President Liberty Mutual Officer Analytics, Primary Casualty Walmart Lab Officer Officer and Product Strategy VaynerMedia Mount Sinai Health System PARC Insurance Morgan Stanley AIG Legg Mason Target Houston Methodist Interactions a Xerox Company

Ashish Bansal Katica Roy Kevin Stanton Kris Barton General Patrick Huston Maryam Farooq Anthony Macciola Thomas Stubbs Sheryl Jacobson Natalie A. Pierce Rashed Haq Tanuja Singeetham Senior Engineering Manager, CEO Chief Services Officer Chief Product Officer Assistant Judge Advocate General for Founder and Director Chief Innovation Officer VP of Engineering and Consulting Strategy and Shareholder, Co-Chair, Robotics, AI Global Head of AI, Robotics VP, Digital Marketing ML (Recommendations Pipeline Equity Mastercard USA Today Network Military Law and Operations (MLO) NYAI ABBYY Innovation Transformation Leader and Automation Practice Group, & Data BEHR Paint Company Twitter U.S. Army Coca Cola Company Deloitte Littler Publicis Sapient

KV Dipu Smith Yewell Josh Sutton Vish Sankaran Alice Chang Colin Beirne Ravi Boggaram Thomas Vincent Erik Nylen Shiladitya Ghosh Sushil Thomas Ranjit Jangam President & Head of Operations CEO CEO Group CIO Founder and CEO Partner CTO and Sr. Director - Global Senior Director, Head of Data Senior Director, Data Science Senior Director - Lead, Financial VP Engineering – Machine Executive Director, Data and Customer Service WeLocalize Agorai Walgreens Boots PerfectCorp Two Sigma Ventures Digital Services Science Lead Services Innovation Labs Learning Science Bajaj Allianz General Alliance PepsiCo Getty Images NBA Publicis Sapient Cloudera Comcast Insurance STAR KEYNOTES

James Brusseau Nels Lindahl Romy Hussain James Lyle Vishal Sheth Farah Gasmi Rahul Tyahi Sid Raisoni Luyuan Fang Sriram Subramanian Subroto Mukherjee Boyi Xie Director - Data Ethics Site Director, Clinical Decision Director, Healthcare Director, Custom Linguistic Director, Transformation Director of AI Products Analytics Director Head of Decision Science Head of AI Lab - VP Head of Data Sciences Head of Innovation and Head Modelling & Insights Pace University Systems Johns Hopkins Healthcare Solution New York Presbyterian Argo Group Former ColPal Nestle Waters Technology Conde Nast Emerging Technology, Americas Americas, VP CVS Health Appen Hospital Expedia Group GlaxoSmithKline Swiss Re

Jason Nichols Jan Neuman Jane Nemcova Salahuddin Khawaja Dan Darnell Christopher Rice Gabriel Philippe Ramnath Sai Sager Ehsan Yousefzadeh Michael Connor Anindya Ghose Hamza Ghadyali Director of AI, Intelligent Retail Senior Director - Applied AI Managing Director of Artificial Managing Director, Senior Director of MLOps Director, Research and Analysis Head of Sales and Product Marketing Lead AI Product Manager Director of Software, Tools and Heinz Riehl Chair Professor of AI Specialist and Machine Lab Research Intelligence Automation/Global Risk Products National Security Partnerships Pure Storage AIG Innovation Business at Stern School of Business Learning Developer Walmart Comcast Lionbridge Bank of America DataRobot Commission on Artificial Prevision Coca Cola New York University SAS Intelligence

Eduardo Aguilar Pelaez Rajeev Sambyal Murali Nandigama Ankit Mangal Cole Dutcher Andreas Schmidt Mihail Sirotenko Nisha Bhaskaran Sam Ringer Julia Benz Rafael Depetris Thomas Dyar Product Manager for AI/ML Director of Artificial Director of Engineering Associate Director, Web Associate Director of Product Director Team Lead - Senior Applied Machine Learning Engineer, Machine Learning Engineer Artificial Intelligence / Machine Principal Scientist Product Specialist Canonical Intelligence & Innovation Barclays Analytics Engineering Blue Yonder GmbH Researcher, GoogleAI Paypal Speechmatics Learning Lad – Office of The CIO Kadmon Intersystems BNY Mellon Wayfair Walmart Labs a JDA Company Google Ford Motor Company

REGISTER NOW Atul Soneja Sarah Karthigan Rachel Trombetta James Bongi Keoki Jackson Ken Washington SAVE UP TO $1,000 Global Head Global AI Executive - Data Software Engineering Director Head of Strategy and Operations CTO CTO WHEN YOU BOOK EdgeVerve Science Manager GE Digital for Artificial Intelligence Lockheed Martin Ford BY 12 NOVEMBER ExxonMobil Novartis DAY 1 – WEDNESDAY, 11 DECEMBER DAY 1 – WEDNESDAY, 11 DECEMBER

DELIVER – CXOS AND TOP-LEVEL BUSINESS LEADERS IMPLEMENT – SENIOR STRATEGISTS AND HEADS OF FUNCTION

09.00 Welcome Address 13.10 Lunch break and opportunity to visit the expo 09.00 Visit Deliver Stage for Opening Keynote 14.30 WorkFusion Enterprise Success: NY-Presbyterian’s Use of Intelligent Automation Improves Customer & Employee Experiences 09.10 Opening Keynote: Evolving a global institution around AI 10.00 Delivering an AI-First Travel Experience - Building and Scaling an AI Vishal Sheth, Director of Transformation, 14.00 The future of AI in China A conversation with Lori Beer, Global Chief Information Officer, JPMorgan Chase Platform at Expedia New York Presbyterian Hospital Chua Kong Ho, Technology Editor, South China Morning Post Luyuan Fang, Head of AI Lab – VP Technology, Expedia Group 09.35 AI meets AR- Supercharging model building and validation for 14.10 Smarter Enterprises Built on AI, 14.55 AI at Enterprise Scale - The Four Dimensions of Sustainable Success regulatory compliance 10.25  Atul Soneja, Global Head, Edgeverve From Chatbot to Conversational Excellence Bjorn Austraat, SVP, AI Enterprise Solutions – Agile AI, Wells Fargo Seth Dobrin, VP Data and AI, Chief Data Officer Cloud and Cognitive Software,IBM Andy Peart, Chief Marketing and Strategy Officer, Artificial Solutions 14:35  15.15 Sustainability and profitability through AI in the supply chain 10.00 The future of the Energy Industry Anticipatory Banking: Using AI to Create Advantage in a Digital World 10.50 Improving the Future of Work through Enhanced Digital Intelligence Andreas Schmidt, Product Director, Former Sec. Rick Perry, Rashed Haq, Global Head of AI, Robotics & Data, Publicis Sapient Anthony Macciola, Chief Innovation Officer, ABBYY Blue Yonder GmbH, A JDA Company Secretary of Energy 15.00 Accelerating the AI Journey Through Open Innovation 10.25 There is Nothing Artificial About Artificial Intelligence - What’s Real, Tolga Kurtoglu, President, 11.15 Morning networking break 15.35 Building First-Class Customer Facing AI Products Kris Barton, Chief Product Officer, PARC, a Xerox Company What’s Hype and How to Get Going? USA Today Network Jeff McMillan, Chief Analytics and Data Officer, 11.45 Panel - The AI Ecosystem Imperative 15.25 At the edge of AI – what’s possible? Morgan Stanley Sheryl Jacobson, Strategy and Transformation Leader, Deloitte Consulting Mick Hollison, Chief Marketing Officer, Cloudera 15.55 Afternoon networking break Rachel Trombetta, GE Digital, Software Digital 10.50 Unlocking AI in the enterprise Gauthier Vassuer, Executive Director, CEO and Founder, Berkeley Fisher Center Sanjay Srivastava, SVP, Chief Digital Officer,Genpact 15.50 Afternoon networking break 16.30 Building and Scaling AI Capabilities Across the Oil and Gas Value Chain Sarah Karthigan, Global AI Executive - Data Science Manager, ExxonMobil 12.30 Top 3 Lessons Learned Deploying Real-World AI 11.15 Morning networking break 16.30 Can AI Help to Close the Gender Equity Gap? Ramnath Sai Sager, AI Product and Solutions Lead, Pure Storage Katica Roy, CEO, Pipeline Equity 16.50 The Business Outline for AI & BOT Deployment 11.55 Innovating The Future of AI-enabled Autonomous Flight with James Bongi, Head of Strategy and Operations for Artificial Intelligence, Novartis 16.55 The State of AI: Opportunity and Responsibility 12.55 Using AI and Blockchain to Monetize the Mobile Economy Lockheed Ron Bodkin, Technical Director, Applied Artificial Intelligence,Google Anindya Ghose, Heinz Riehl Chair Professor of Business at Stern School of Business, Martin, Keoki Jackson, CTO, Lockheed Martin New York University 17.20 Headline panel: The role of policy and regulation in the 12.20 AI: Cyber defense of cyber-threat? development of AI 13.15 Lunch break and opportunity to visit the expo Justin Fier, Director of Cyber Intelligence and Analytics, Darktrace Ana Arino, Executive Vice President and Chief Strategy Officer, Economic 12.45 The emerging distributed application platform for AI-assisted business Development Corporation 14.10 Building an AI Engine Your Customers Can Trust • Where Digital Transformation meets LoB evolution Tim Bradley, Senior Advisor, Australian Government Lonnie Miller, Principal Industry Consultant, SAS • What is the case for instrumentation? Manuel orales, Chief Scientist AI, Mike Isbill, Fellow/Data Analytics, Air Mobility and Maritime Missions, • Who is successful at unlocking new business value using AI-assisted operations National Bank of Canada Lockheed Martin Geng Lin, EVP & CTO, F5 Networks Bob Cohen, Economist and Senior Fellow, Economic Strategy Institute DAY 1 – WEDNESDAY, 11 DECEMBER DAY 1 – WEDNESDAY, 11 DECEMBER

DEVELOP – HEADS OF TECH AND PRACTITIONERS AI FINANCE SUMMIT

09.00 Deliver Stage for Opening Keynote 14.30 Practical ML in DevOps: An example from Financial Technology 09.20 Chairperson’s Welcome 12.50 Consolidating AI into Long-Term Organisational Strategy Company 10.00 Welcome and Introduction to AI Summit and NYAI 09.30 Harnessing Data to Inform Customer Personalisation Murali Nandigama, Director of Engineering, 13.10 Lunch break and opportunity to visit the expo Maryam Farooq, Founder and Director, NYAI Barclays International Neil Sanyal, Global Head of Research Marketing, Morgan Stanley 14.10 The Who Behind AI – Methodologies for the Product Managing of AI 10.20 Navigating the Practical Challenges of Making AI Real – Data 09.50 Augmenting Your Digital Perspecctive to Empower Relationship 14.50 Real Time Event Detection on Social Media Streams Products in Legacy Financial Services Companies Integration, Data Quality Assurance and Model Implementation Managers Ashish Bansal, Senior Engineering Manager, ML, Twitter Ehsan Yousefzadeh, AI Product Manager, AIG Hindol Basu, CEO, Actify Data Labs Samir Chainani, Senior Software Engineer, Twitter Speaker TBA, Citibank 14.30 Proactive Compliance Risk Management & Investigations – Powered 10.45 Managing AI Research Projects 10.10 Leveraging Purposeful AI to solve business problems 15.10 Trevor Gurgick, Product Manager – Machine Learning and Data Science, by AI Mihail Sirotenko, Team Leader Senior Applied Researcher, GoogleAI, Google Praveen Kombial, Global Product Head, Business Applications, Infosys Audible Inc Satish Lalchand, Principal, Deloitte Risk and Financial Advisory 11.10 Comcast’s Deep Dive into The World of AI 10.30 Harnessing Machine Learning to Overcome the Challenges of 15.30 Using Data Science Insights to Help Users Challenge The Status Quo 14.50 Weaving Artificial Intelligence into Enterprise Product Strategy Jan Neuman, Senior Director – Applied AI Research, Comcast Regulation Management and Adherence of Decision Making Ashit Talukder, Head of Machine Learning, Moody’s Analytics Accelerator Kayla Brizo, Lead Product Manager – Data & Analytics, Sony Music Entertainment 11.35 Morning networking break 10.50 Morning networking break Rupinder Khandpur, Director of Software Architecture, Moody’s Analytics Accelerator 15.50 Afternoon networking break 15.10 Levelling up Artificial Intelligence: Architecting Teams That Operate 12.00 Panel: AI and ML Enabled Speech Technology - Exploring The Latest 11.10 Delivering a Focused Strategy on Impactful, Actionable and Scalable and Prioritize Efficiently Disruptions in The Space and Their Implications for Users 16.30 Similarity in Machine Learning and AI AI Technologies in the Insurance Industry Serkan Piantino, CEO & Founder, Spell Mark Beccue, Principal Analyst, Tractica Jennifer Shin, Product Director, Contextual and Adjunct Assistant Professor, NYU Stern Sandeep Bajaj, Group Chief Digital Officer, Everest Re Sam Ringer, Machine Learning Engineer, Speechmatics School of Business at NBCUniversal Media 15:20 ICED(AI) Fireside Chat James Lyle, Director, Custom Linguistic Solution, Appen 11.30 Transforming Financial Services through RPA and Intelligent Lloyd Danzig, Chairman & Founder, ICED (AI) 16.50 ML Platform Delivery – Getting Models into Production – A Case Automation 12.40 Intelligent language systems: It’s not all about the data Aristotelis Study Steven Gold, Global Industry Leader, Financial Services, Automation Anywhere 15.40 Afternoon networking break Kostopoulos, Joey Freund, Developer Manager, Shopify 11.50 Real World Success Stories to Help You Prepare and Scale AI Vice President Product Solutions AI, Lionbridge 16:05 AI in Insurance: Modelling the Value of Risk 17.10 Leveraging Neural Machine Translation Technology to Optimize Christine Livingston, Chief Strategist and Practice Director, Artificial Intelligence, Boyi Xie, Head Modelling & Insights Americas, VP, Swiss RE Content and Business Processes Perficient 13.00 Lunch break and opportunity to visit the expo 12.10 Bringing Explainable AI to the Marketplace 16:25 Machine Learning for Software Testing 14.10 Kubeflow Pipelines - Speeding Up The Development Cycle for New Speaker TBA, Exactpro Systems Ben Taylor, CEO, Rainbird Models and Simplifying Deployments of Models to Production Ammar Naqvi, Product Manager for Kubeflow, Canonical 12.30 5 Worst Practices for AI/ML Deployments – And How to Avoid Them 16:35 Panel: Optimising Legacy IT Architecture to Facilitate Matt Maccaux, Global Field CTO, HPE, BlueData Implementation of AI in The Financial Services Sector Andy Mahdavi, Chief Data Science Officer, States Title Speaker TBA, Winjit DAY 1 – WEDNESDAY, 11 DECEMBER DAY 1 – WEDNESDAY, 11 DECEMBER

AI RETAIL SUMMIT LOUNGES

09.50 Chairperson’s Welcome 13.00 Networking Lunch LOUNGE 1: AI FORBES BOARDROOM – CXO SEMINARS LOUNGE 3: AI DEVELOPMENT LAB – PRACTITIONER WORKSHOPS 10.00 How Target is Using AI to Modernise its Supply Chain Paritosh Desai, Chief Data and Analytics Officer, Target 14.00 How Shopify Leverages Data and ML to Power 1M+ Merchants Xinyi Zhao, Technical Product Lead, Shopify 09.00 Creating A Data Literate, AI Ready Business from the The Top Down 09.00 Explainable and Ethical AI – 101 for AI Engineers and Developers 10.25 Beauty AI 360: Mastering AI for Consumer-Centric Solutions 11.00 I nvestment Strategies – Identifying Emerging Low-Risk / High Return 10.30 Building and Implementing Machine Learning Enabled Alice Chang, CEO & Founder, PerfectCorp 14.25 Creating and augmenting multi-channel self-help customer experiences Speaker TBA, Agara Use Cases in Automation and AI Recommendation Systems 10.50 Next-Gen Retail: Continuous Innovation at the Walmart Intelligent 14.30 Business Leaders’ Essential AI Market Overview with Tractica – Q4 13.00 Feature Engineering for Boosted Model Performance Retail Lab 14.50 Re-Thinking Inventory Management Process with AI/ML Forecast Update & 2020 Outlook T.Scott Clendaniel, Chief Data Scientist, Strategic Artificial Intelligence Lab, Jason Nicholas, Director of AI, Intelligent Retail Lab, Walmart 15.15 Measuring Incremental Value of a business using Machine Learning Aditya Kaul, Research Director, Tractica Legg Mason 11.15 Morning networking break Algorithms – CastleGate Wayfair Case Study Keith Kirkpatrick, Principal Analyst, Tractica Ankit Mangal, Associate Director, Web Analytics, Wayfair LOUNGE 4: AI ACADEMY– TRAINING SESSION

11.45 Using AI to Drive Revenue Across the Retail Industry LOUNGE 2: AI IMPLEMENTATION STUDIO 15.40 Afternoon networking break – HEADS OF FUNCTION WORKSHOPS Keith Kirkpatrick, Principal Analyst, Tractica 09.00 Introduction to Data Science in Python Rick Copeland, Python Programming Expert and Innovation Academy Trainer, Instructor, 16.20 Video Surveillance Analysis Tools to Inform Brick-and-Mortar 12.10 Building Out ML Solutions to Augment B2B Sales 09.00 Intelligent RPA Workshop – Platform + Use Case Discovery for Snr. Entrepreneur and Developer Retail Strategy Practitioners & Product Leads 12.35 Using the Data You Have to Get the Data You Want 14.00 Introduction to Machine Learning 16.45 Driving Profitability with AI-Powered Customer Insights at Sears Ryan Kee, Director, Innovation AI, Walmart 11.00 AI Opportunity Audit – AI Road mapping Session w/ Leading Solution Rick Copeland, Python Programming Expert and Innovation Academy Trainer, Instructor, Speaker TBA, Sears Provider Entrepreneur and Developer

14.00 Workshop: 5 Habits of Highly Productive Companies – Exploring AI, Innovation and Happiness Julia Benz, Office of The CIO, Ford Motor Company

15.30 Customer Insight Masterclass – Growing and Leveraging Predictive Analytic Capabilities Across Your Enterprise

16.45 Securing Your Enterprise – Leveraging ML for Threat Detection and Multi-Layer Security – Strategy Workshop + Demos DAY 2 – THURSDAY 12 DECEMBER DAY 2 – THURSDAY 12 DECEMBER

DELIVER – CXOS AND TOP-LEVEL BUSINESS LEADERS DELIVER – CXOS AND TOP-LEVEL BUSINESS LEADERS

09.00 Welcome Address 14.25 AI to ROI: Leveraging data to maximise your returns 11.30 Operationalizing Machine Learning Across The NBA – Case Study 14.00 Methodologies for Successful Implementation of Decision Science in Josh Sutton, CEO, Agorai Erik Nylen, Senior Director, Data Science Lead, NBA Your Organisation 09.10 Innovating at WBA – lessons learnt Sid Raisoni, Head of Decision Science, Nestle Waters Vish Sankaran, Group CIO, Walgreens Boots Alliance 14.50 Scaling AI across your large-scale enterprise: the real goal 11.50 Panel: Operationalizing ML Across The Business - How to Best Ravi Boggaram, CTO and Sr. Director – Global Digital Services, PepsiCO Join Up Data Strategy and Model Deployment with Existing 14.20 Architecting Large Scale AI Adoption in Legacy Organizations – Salahuddin 09.35 Levaraging your cloud investment to enable AI opportunities Organisational Structures Khawaja – Managing Director, Automation/Global Risk, Bank of America Senior Representative, Microsoft 15.15 Afternoon networking break Aditi Baker, Vice President, Head of Pricing & Portfolio Analytics, Primary Casualty, AIG Adi Ghosh, Senior Director – Lead, Financial Services Innovation Labs, 14.40 How Well Does AI Understand Culture? 10.00 The future of AI for business through the eyes of Google 15.45 Structuring a Data Science team to focus on Sales and Marketing Publicis Sapient Lawrence Edmondson, Senior Vice President of Technology, VaynerMedia Cassie Kozyrkov, Chief Decision Scientist, Google Thomas Vincent, Senior Director, Head of Data Science, Getty Images Niranjan Thomas, General Manager, Developer Platform & Solution Engineering, Dow Jones Rajeev Sambyal, Director of Artificial Intelligence & Innovation,BNY Mellon 15.50 Networking Break 10.25 Evolving from an insurer to a fintech: how will your business evolve? 16.10 Reserved for Industry Partner Sushil Thomas, VP Engineering, Machine Learning, Cloudera Monica Caldas, SVP & CIO, Liberty Mutual Insurance 15.45 Why the Privacy Company is the Most Important Business You Have 16.30 COMING APART: A conversation about the mechanics of how we 12:30 Scaling POC Success - Delivering Proven AI Product Implementation 10.50 Morning networking break Never Heard Of became one nation divided by content, and what we can do about it Across Different Lines of Business - A Framework James Brusseau, Director Data Ethics Site, Pace University Farah Gasmi, Director of AI Products, Argo Group 11.30 A Fireside chat: How AI is reshaping Media? 09.30 Welcome from Chair Implement – Senior Strategies and Heads of 16.05 Generating Business Value from your AI Investments 12.50 RESERVED – Turbocharging AI Initiatives Through The Adaptation of Elizabeth Carrasco, CTO, CBS Interactive Function Rahul Tyagi, Analytics Director, Former ColPal Workplace Environments 11.55 How everyday life is powered by AI on AWS 09.40 NSCAI Dialogue with Industry Senior Representative Christopher Rice, Director, Research and Analysis, National Security Commission on 13.10 Lunch break and opportunity to visit the expo Artificial Intelligence 12.20 AI taking Mastercard further: pushing the limits of your business JoAnn Stonier, Chief Data Officer, Mastercard 10.00 Where ML Models Meet The Real World Dan Darnell, Senior Director of MLOps Products, DataRobot 12.45 Embedding your AI and ML teams in your business: A Google approach Rich Dutton, Head of Machine Learning for Corporate Engineering, Google 10.20 Predicting Content Virality to Drive Social Traffic Sriram Subramanian, Head of Data Science, Conde Nast 13.10 Lunch Break and opportunity to visit the expo 10.40 Machine Learning Approach for Analyzing Educational Effectiveness 14.00 How is AI extending the customer life time value at Banorte Youngduck Choi, AI Tech Leader, Riid Jose Murillo, Chief Analytics Officer, Banorte 11.00 Morning networking break DAY 2 – THURSDAY 12 DECEMBER DAY 2 – THURSDAY 12 DECEMBER

DEVELOP – HEADS OF TECH AND PRACTITIONERS AI HEALTHCARE SUMMIT

09.45 Delivering Enhanced Digital Customer Experiences – New Methods 12.10 Consumer Segmentation for Marketing and Product Strategies Using 09.20 Chairperson’s Welcome and Introduction 12.35 Key Strategies for Organisation-Wide Transformation in Healthcare of Segmentation and Data Interpretation Various Machine Learning Techniques Shane Walker, Research and Analysis Director,IHS Markit Roberto Ojeda, Tech Lead – Machine Learning Engineer, Spotify Ranjit Jangam, Executive Director, Data Science, Comcast 13.00 How to Tag Medical Records to Create Vital Data & Analytics 09.35 Humanistic Care in the Age of AI Doug Kemp, SVP and Managing Partner, Synodex LLX, Innodata 10.10 A Data-Sharing Model To Accelerate the Implementation of AI in 12.30 Abeja Platform: Orchestration of human intelligence and artificial Hassan Tetteh, Health Mission Chief, U.S. Department of Defense Pharma intelligence with Japanese quality assurance 13.25 Networking Lunch Sandeep Burugupalli, Head of the Data Center of Excellence, Pfizer Yousuke Okada, Founder & Chief Executive Officer, Abeja 10.00 How to Start and Scale AI-Powered Automation in Life Sciences Catherine Calarco, Senior Director, Global Leader of Industry Strategy for Life Sciences, 14.10 The Role of AI in Structure Based Drug Design, advantages and 10.35 From data to deployment and back: Challenges across the application 12.50 AI for Faster and Better Decision Making in Monitoring Oil and Automation Anywhere challenges development journey Gas Assets Rafael Depetris, Principal Scientist, Kadmon Thomas Dyar, Product Specialist, Intersystems Trace Smith, Lead Data Scientist, ExxonMobil 10.25 Convergent AI in Medicine – Reduce Wastes, Do No Harm, and Avoid Misdiagnosis 14.35 Taking Your Medical AI From the Lab to the Bedside 11.00 Morning networking break 13.10 Lunch break and opportunity to visit the expo Stephen Wong, Chief Research Informatics Officer,Houston Methodist Speaker TBA, iMerit 10.50 Party at the DiSCO – How to Start Your Own Data Science Center 11.30 Conversational AI for Customer Care 13.50 Fireside Chat: Hyperpersonalizing The Customer Experience with 15.00 How Machine Learning is Revolutionizing Consumer Healthcare at of Excellence Cole Dutcher, Associate Director of Engineering, Walmart Labs Conversational AI GSK Mike Berger, VP Chief Data & Analytics Officer,Mount Sinai Health System Dan Abelon, Partner, Two Sigma Ventures Subroto Mukherjee, Head of Innovation and Emerging Technology, America, 11.50 Intelligence Experimentation Using Binomial Multi-Arm Bandit Sunny Parikh, Vice President and Co-Head, FinTech Innovation Lab NY, 11.15 GlaxoSmithKline Nisha Bhaskaran, Machine Learning Engineer, PayPal Partnership Fund for New York City Morning networking break 15.25 Afternoon Networking Break 11.45 Figuring out Applied ML: Building Frameworks and Teams to Operationalize ML at Scale 16.05 Leveraging Machine Learning and AI to Improve Quality and Patient INNOVATION SHOWCASE Nels Lindahl, Director, Clinical Decision Systems, CVS Health Safety: Lessons from the Frontlines 12.10 Answering Hard Questions: Practical Examples of Analyzing Text to Robbie Freeman, VP, Clinical Innovation, Mount Sinai 14.20 AI & Cybersecurity: Teaming up to Defend Against Current and 14:40 AutoML: Simplified, Head of Sales and Partnerships Solve Real Problems in Pharma 16.30 Callisto: Tactical Decision Intelligence in Health Management Future Cyber Threats Gabriel Phillipe, Prevision Ryan Welsh, Founder & CEO, Kyndi Romy Hussain, Director, Healthcare Economics, John Hopkins Healthcare Chris Cochran, Threat Intelligence and Operations Lead, Hacker Valley Studio 14:50 Maintaining Reproducibility When Deploying Multi-Stage Data Ronald Eddings, Security Architect Leader, Hacker Valley Studio Pipelines 14:20 Scaling Conversational AI: A Platform-Based Approach to Senior Representative, Pachyderm Conversational Applications 15:00 Art as an Interface for Wearable Technology Andrei Papancea, CEO, NLX Philip H Wilck and Tiia Vahula, Utopia Blu 14:30 Know more, read less: AI-powered reading, comprehension and retention Nosa Omoigui, Founder and CEO, Weave DAY 2 – THURSDAY 12 DECEMBER DAY 2 – THURSDAY 12 DECEMBER

AI SALES, MARKETING AND CX SUMMIT LOUNGES

09.10 Chairperson’s Welcome and Introduction 13.00 Driving Your eCommerce Strategy With AI 16.00 Scaling POCs Across Different Business Division / Mark Beccue, Principal Analyst, Tractica LOUNGE 1: AI FORBES BOARDROOM – CXO SEMINARS Units – Masterclass Session for Senior Practitioners

13.25 Networking Lunch 09.35 AI/ML Advances and Impacts on Sales and Marketing 09.00 AI Business Model Reinvention Workshop LOUNGE 3: AI DEVELOPMENT LAB – PRACTITIONER WORKSHOPS Matthew Quint, Director, Center on Global Brand Leadership, Columbia Business School 14.10 AI as Creative Collaborator Claire Mitchell, Director, Innovation, VaynerMedia 11.00 Introducin AI to The Contact Centre/ Service Centre – OPEX 10.00 Performance Linguistics: The Engine Driving AI Success 09.30 RPA Bot Development Session – Platform Demo + Hands on Smith Yewell, CEO, WeLocalize Reduction Masterclass for Senior Strategists 14.35 Rebel Bot Bootcamp: Put Your Fat & Confused Bots on the Workshop 10.25 AI in Marketing in the Age of Humans with Machines Pragmatic Diet, 14.00 AI Product Manager & Chief Product Officer Hosted Roundtables – 11.30 Workshop: Exploring Computational Approaches for Cancer Alex Kelleher, CMO, Hux by Deloitte Digital Abinash Tripathy, Co-founder and Chief Strategy Officer, Helpshift Building an AI Product Team That Deliver Research 10.50 The Power of Conversational AI and How it Can Transform CX 15.00 Making Money with Voice Commerce LOUNGE 2: AI IMPLEMENTATION STUDIO Naomi Ohashi, Data Science Collaboration Development, Frederick National Laboratory for Cancer Research Priyanka Tiwari, Director of Product Marketing, Interactions William Ammerman, EVP, Digital Media, Engaged Media – HEADS OF FUNCTION WORKSHOPS

14.00 Platform and Tools Test-Drive + Drop in Centre (Leading Vendor 11.15 Morning networking break 15.25 Afternoon Networking Break 09.30 Advance Analytics – Early Stage Roadmapping Workshop for Data Platform + Product Suite) and Analytics Leaders 11.45 AI & The Magic Customer-Getting Machine 16.05 Transforming Digital Experiences by Understanding the Customer’s 16.00 Human-Centred Design – Enterprise AI Product Design Workshop Will Thompson, VP and Managing Director, Thought Leadership, Forbes Current Journey 11.30 RPA Workshop – Workflow Automation Strategies and Platform KV Dipu, President & Head of Operations and Customer Service, Demo Workshop LOUNGE 4: AI ACADEMY – TRAINING SESSIONS 12.10 Differentiating Customer Experiences with Omni-Channel Customer Bajaj Allianz General Insurance Solutions 14.00 Business Case Matchmaking Sessions – AI Solution Roadshow (End- 16.30 Boosting Social Media Success with AI-Powered Post Seb Reeve, Director of International Go-To-Market, Intelligent Engagement, Nuance Users + Vendors) 9.00 Introduction to Natural Language Processing Recommendations Carlo Lipizzi, Professor at Stevens Institute of Technology & Principal Investigator for Systems 12.35 Right Messages, Right Time, Right Channels – Targeting HCPs with AI Speaker TBA, Conde Nast Engineering Research Center at Stevens Institute of Technology and ML Hemal Somaiya, Global Marketing Director, Merck Group DELIVER STAGE View the full program here

The AI Summit New York’s central keynotes stage brings THE PIONEERS OF THE DELIVER CONFIRMED SPONSORS FOR THESE TRACKS together the brightest minds from pioneering enterprises and AI COMMUNITY WILL ADDRESS innovators sharing their game-changing ideas, sharing exclusive insights that will inform your AI strategy. You’ll get a front row • Stories of internal and external seat to inspirational CxOs from the industry’s true heavyweights, disruption, and the journeys that taking you along how they deliver their AI roadmap. businesses like have gone on to ensure their projects are delivered on-time, to budget, and with the ROI required to gain buy-in for future AI investment. JOB TITLES IN ATTENDANCE • The practitioners and content tracks • CXO • BOARD ROOM • EXECUTIVE DIRECTOR to build out your big-picture ideas • MANAGING DIRECTOR and furnish them with real, concrete takeaways that you can take back to your business and start working on right away.

• Content exploring the compelling reasons and different approaches REGISTER required to deliver different types of technologies (RPA, NLP, ML, DL, NOW CONTACT US TO ENQUIRE CV, etc) into your business, alongside ABOUT DISCOUNTED RATES proven case studies. - LIMITED PLACES LEFT RETURN TO PROGRAM TOPICS PAGE DELIVER AGENDA THEMES View the full program here

RESPONSIBLE AI IN YOUR BUSINESS THE EVOLVING PLAYING FIELD – THE ROLE AI BOARDROOM HOSTED BY: Implementing AI in an ethical way is a major priority for every OF POLICY AND REGULATION business. What are we doing to ensure our data is unbiased, our In an era where technology advances at unprecedented speed, teams reflect our models, we are using data in a responsible way, what role do the policy makers and regulators play? How should we are following regulatory guidelines and ultimately our results government be working with industry to ensure AI has the largest | are accurate are questions that keep every CxO in tech up at night. possible positive impact on business and society. 11TH DECEMBER DAY 1

AI CHANGING YOUR BUSINESS MODEL FUTURE-PROOFING YOUR BUSINESS IN AN 07:30 - 08:30 Breakfast Briefing: The state of play presented by Tractica As every industry and job function hits AI head on, a wealth of AGE OF DISRUPTION opportunities has arisen for businesses. Different ways of viewing Technology has enabled nimble and innovative thinkers with small 09:00 - 10:30 Creating A Data Literate, AI Ready Business from The Top Down your business, your revenue streams, your costs and the way you budgets to disrupt and sometimes own entire industries. So how identify causes businesses to look at their model top-down. can you compete with what might not already be there? How can you ensure you are right on the pulse? 11:00 - 12:30 Investment Strategies - Identifying Emerging Low-Risk / High Return Use Cases in Automation and AI

TRANSFORMING A LARGE ENTERPRISE INTO 17:30 - 18:30 AI Industry Leaders Awards Reception + Drinks - INVITE ONLY AN INNOVATOR STAYING SAFE – ENSURING SECURITY As a large business, getting ahead of tech and industry curves ACROSS THE BUSINESS can be a challenge. So how can you create agility, proactivity and AI relies on having huge quantities of uniformed and accurate data innovative thinking in a structure that can sometimes be stifling? which also makes those companies leveraging AI, key targets for cyber-attacks. What are you doing to stay bullet-proof? 12TH DECEMBER | DAY 2 THE RESPONSIBILITY OF BUSINESS IN CREATING A BETTER WORLD IMPLEMENTING AI AT SCALE ACROSS YOUR 09:00 - 10:30 AI Opportunity Audit - Roadmapping Session with Solutions Provider What is your business doing to create a better world? How is BUSINESS technology feeding into this? Introducing AI to The Contact Centre / Service Centre - OPEX Reduction Masterclass for Senior While creating AI pilots in isolation is relatively easy to accomplish, 11:00 - 12:30 creating multiple AI programs that interact and work off of one Strategists another is a whole different ball game. The challenge of scale is one STRUCTURING YOUR AI DEPARTMENT that forces businesses not just to look at tech infrastructure and AI Product Manager & Chief Product Officer Hosted Roundtables - Building an AI Product Team AI teams can often be siloed as a central department. But is siloed automation but to address their wider business operations. 14:00 - 15:30 this the best way to structure your team? How do the pioneers So, how can you scale AI? That Delivers and disruptors view this challenge and how can you get your department in the best possible position to make a difference? IMPLEMENT STAGE View the full program here

Our Implement Headline Stage and AI Implementation Studio are WHAT OUR IMPLEMENT COMMUNITY CONFIRMED SPONSORS FOR THESE TRACKS designed for senior practitioners and line of business leads to learn WILL FIND AT THIS YEAR’S EVENT and engage with the world-leading minds in the space, cut away the noise, and really get to grips with what it takes to deliver AI projects. • Stories of internal and external disruption, and the journeys that Whether through detailed exploration of AI-centric operating businesses like have gone on to ensure models, agile and effective ways of scaling proof of concepts, vendor their projects are delivered on-time, to selection processes or technology integration methodologies – this is budget, and with the ROI required to where our Implement Community will find the answers. gain buy-in for future AI investment.

• The practitioners and content tracks to build out your big-picture ideas JOB TITLES IN ATTENDANCE and furnish them with real, concrete takeaways that you can take back to • SVPS • DIRECTORS • HEADS OF • LEADS your business and start working on (from Operations, Finance, Marketing, Customer Service, HR, Product Manage- right away. ment, IT, Security, Innovation, Business Intelligence, etc. and many more). • Content exploring the compelling • SVPS • DIRECTORS • HEADS OF • LEADS (from Data reasons and different approaches REGISTER Science, Deep Learning, Machine Learning, AI, Product, Engineering, Analytics, required to deliver different types NLP, RPA, and many more). NOW of technologies (RPA, NLP, ML, DL, CONTACT US TO ENQUIRE CV, etc) into your business, alongside ABOUT DISCOUNTED RATES proven case studies. - LIMITED PLACES LEFT RETURN TO PROGRAM TOPICS PAGE IMPLEMENT AGENDA THEMES View the full program here

OPERATIONALIZING AI AND ML ACROSS SCALING PROOF OF CONCEPTS AND OPENING THE BLACK BOX OF MACHINE THE BUSINESS SMALL-SCALE AI PROJECTS LEARNING AI IMPLEMENTATION STUDIO A key challenge any organisation will face on their journey to Preventing AI from happening in silos across an organisation is crucial. Key to this year’s show is demonstrating to senior strategists and New for this year, the AI Implementation Studio has been built and become an AI-Centric organisation is getting their models not just Failure to join up separate AI projects and investments across the line of business leads exactly how, why, and what goes into the designed to allow for long-form, interactive sessions that encourage built, but applied and integrated to into their organisations’ data business not only curtails the likelihood of evolving into an AI-Driven development of ML/DL driven solutions, across different platforms. discussion amongst our Implement community, whilst also ensuring architecture, IT architecture, and business processes. The process organisation, but also significantly reduces the ROI possible from new One of the main reasons ML projects fail is that business users may participants leave with concrete takeaways. Ran and hosted – over the is multi-faceted – from the selection of data and building/buying of technology implementation. This year, our audience will benefit from not fully identify the positive disruption that’s possible, because of course of two dayhs - by several leading figures and solution providers. tools, through to the adaptation of organisational structures. detailed explanation of how leading organisations are doing it right. lack of explainability. This year’s show aims to help solve this.

ENHANCED RPA AND IPA STRATEGIES AND AI PRODUCT MANAGEMENT NLP AND COMPUTER VISION PRODUCT 11TH DECEMBER | DAY 1 METHODOLOGIES In many respects, building an AI product or solution is only half the DEPLOYMENT AND OPTIMISATION RPA and IPA technologies are already delivering massive value to battle. Ensuring that it is adopted – at scale – across the different NLP and Computer Vision technologies are maturing – and converging Intelligent RPA Workshop - Platform + Use Case Discovery for 09:00 - 10:30 businesses the world over, across virtually every line of business business functions is not only the key to success, but an immense - fast with the help of machine learning and deep learning. As use cases Snr. Practitoners & Product Leads (from business intelligence, to customer experience, HR and challenge. Product leads must keep one eye on business value, and grow – from talent management and customer experience, to security AI Opportunity Audit - AI Roadmapping Session w/ Leading 11:00 - 13:30 more). However, to take it to the next level, leaders must start the other on resource management, agile working, and quality of and surveillance – it is of paramount importance for business and Solution Provider integrating technologies to bring process awareness, process solution delivered. Catch inspiring product leaders showing the technology leaders to identify the platforms and resources required to AI Solution and Service Monetisation - Opportunity Mapping for 14:00 - 15:00 discovery, and predictive capabilities to the table. way on Implement. deliver NLP / CV Centric projects. Vendor Market (hosted by Tractica) Customer Insight Masterclass - Growing and Leveraging Predictive 15:30 - 16:30 MANAGEMENT OF DATA SCIENCE AND REDESIGNING WORKFLOWS & ORGANISATIONAL CX, MARKETING AND VIRTUAL DIGITAL Analytic Capabilities Across Your Enterprise DATAOPS PROGRAMMES STRUCTURE TO FACILITATE AI ASSISTANTS Securing Your Enterprise - Leveraging ML for Threat Detection Building a clear understanding of where to collect data from, how to 16:45 - 17:45 Processes and people are the bedrock of every successful technology We live in the age of the customer. As their expectation increase, and Multi-Layer Security - Strategy Workshop + Demos select data for different purposes, platform selection, methods for implementation project. If they aren’t aligned, AI projects will fall flat. so must business’ investment in the solutions and resource to training/retraining data (Etc.). The challenges facing data engineering This year, we’re providing the platform for the business leaders to deliver against these. Whether that be through advanced voice- and data science program leads are many. This year’s program will share the tricks of the trade ensure that your organisation is actually AI integration into chatbots, faster and more precise predictive 12TH DECEMBER | DAY 2 feature comprehensive discussions on the key challenges, from prepared for AI, from the ground-up, and the bottom-down. capabilities for your marketers, or simply a more streamlined and sustainable data quality, security, and deployment methods. accurate flow of customer data for your customer service team. Advance Analytics - Early Stage Roadmapping Workshop for Data 09:30 - 11:00 and Analytics Leaders RPA Workshop - Workflow Automation Strategies and Platform CASE STUDIES, CASE STUDIES, CASE STUDIES 11:30 - 13:00 ENHANCED ANALYTICS ROAD-MAPPING AI GOVERNANCE AND ETHICS Demo Workshop Whether within a single line of business, single industry, or a Not every organisation or business function is at the same level Ensuring that AI is leveraging and implemented securely, safely, and Business Case Matchmaking Sessions - AI Solution Roadshow model framework for AI implementation – Implement is where of “data maturity”. Across Implement’s content this year, we will ethically is top of the agenda for businesses the world over. This 14:00 - 15:30 you will find it. be inviting strategic leaders who have experience designing and year, leading organisations from the world-over share how they (End-Users + Vendors) Scaling POCs Across Different Business Division / Units - delivering analytics roadmaps that have formed the basis for the are helping to create an AI-Driven world that reduces inequality, 16:00 - 17:00 most successful AI projects in the world. promotes inclusiveness, and is both transparent and accountable. Masterclass Session for Senior Practitioners DEVELOP STAGE AGENDA THEMES View the full program here

Our Develop Stage and AI Development Lab are designed for the WHAT OUR DEVELOP COMMUNITY • BUILDING AND IMPLEMENTING MACHINE LEARNING ENABLED RECOMMENDATION SYSTEMS engineer, developer, and data science community to experience WILL FIND AT THIS YEAR’S EVENT AI DEVELOPMENT LAB The AI Development lab has been built and designed to allow for and engage first-hand with the latest methods, tools, frameworks • VOICE ANALYTICS + INTELLIGENT CHATBOT DEVELOPMENT long-form, interactive sessions that encourage discussion amongst our

• Stories of internal and external Implement community, whilst also ensuring participants leave with required to build AI, ML and DL solutions • LEVERAGING AUTOML AND DIFFERENT ML PRODUCT SUITES disruption, and the journeys that concrete takeaways. Ran and hosted – over the course of two days - by Through a mixture of deep-dive presentations, hands on workshops, businesses like have gone on to ensure • TRAINING MODELS VS MODEL MAINTENANCE several leading figures and solution providers. and small-room sessions, our Develop community will leave the their projects are delivered on-time, to • ML AND DL MODEL DEPLOYMENT budget, and with the ROI required to event not only armed with the knowledge required to leverage 11TH DECEMBER | DAY 1 gain buy-in for future AI investment. • OPEN SOURCE AI AND DEMOCRATIZATION the latest technologies, but crucially, a clear understanding of how to deploy solutions into their business, ensuring maximum ROI is • HUMAN-CENTRED AI PRODUCT DESIGN 09:00 - 10:30 Explainable and Ethical AI - 101 For AI Engineers and Developers received for their organisation. • The practitioners and content tracks • BUILDING DEEP NEURAL NETWORKS FOR NLP AND Building and Implementing Machine Learning Enabled 10:30 - 12:00 to build out your big-picture ideas COMPUTER VISION APPLICATIONS Recommendation Systems and furnish them with real, concrete Operationalising Machine Learning in The Enterprise - Platform 13:00 - 14:30 takeaways that you can take back to • DECISION SCIENCE Specific Training for Data Scientists and Engineers JOB TITLES IN ATTENDANCE your business and start working on • TRAINING AND DEPLOYING NEURAL NETS 15:00 - 17:30 Open Source AI - Developer Drop in Centre and Lounge Session right away. • SOFTWARE ENGINEERS • DATA ENGINEERS • MULTI-SOURCE DATA COLLECTION, MANIPULATION AND • MACHINE LEARNING • COMPUTER VISION ENGINEERS UTILIZATION

ENGINEERS ANALYSTS/DEVELOPERS • Content exploring the compelling 12TH DECEMBER | DAY 2 • BUILDING RPA/IPA BOTS ON DIFFERENT PLATFORUMS • DATA SCIENTISTS • RPA ENGINEERS/ANALYSTS/ reasons and different approaches RPA Bot Development Session - Platform Demo + Hands-on 09:30 - 11:00 • AI/DEEP LEARNING DEVELOPERS DEVELOPERS required to deliver different types • UTILISING AUTOML TO AUTOMATE CRUCIAL TASKS Workshop • NLP ENGINEERS/ANALYSTS • SOLUTIONS ARCHITECTS Voice Analytics + Intelligent Chatbot Development Session for of technologies (RPA, NLP, ML, DL, 11:30 - 13:00 • SOFTWARE DEVELOPERS • SYSTEM ENGINEERS • CHOOSING THE RIGHT ML MODEL FOR YOUR USE CASE B2C Enterprise Development Team CV, etc) into your business, alongside Platform and Tools Test-Drive + Drop in Centre (Leading Vendor proven case studies. • MANAGING YOUR MACHINE LEARNING LIFECYCLE WITH 14:00 - 15:30 MLFLOW Platform + Product Suite) Human-Centred Design - Enterprise AI Product Design RETURN TO 16:00 - 17:00 PROGRAM • BUILDING DATA-CENTRIC PRODUCTS Workshop TOPICS PAGE View the full program here INDUSTRY STAGES

New for 2019, our one-day Industry Summits will dive into focused case studies across Finance, Healthcare, Retail, and Sales and Marketing. Hear from industry heavyweights AI FINANCE SUMMIT AI HEALTHCARE SUMMIT AI RETAIL SUMMIT AI SALES & MARKETING SUMMIT and rising pioneers alike as they demystify their AI application journeys and share how they are transforming their vertical-specific challenges into commercial success. Cutting through the hype, the real AI AI at the forefront of cutting-edge How AI is re-inventing the customer How AI is instrumental for sales and use-cases having a major impact across innovation in health and pharma: trailblazing relationship: from product inception to marketing success – by leveraging customer Also new for this year is an exclusive series of workshops and networking the financial services sector: from risk applications in disease diagnosis, drug demand forecasting, go-to-market strategy data, supporting content generation & opportunities in our dedicated Industry Insights Lounge, specifically designed to optimization and data reunification to cyber discovery, patient care & more and customer engagement enhancing sales strategy provide the opportunity to meet, learn, and engage with your peers – sharing security and talent recruitment invaluable knowledge and experiences within as well as across industries. SPEAKERS INCLUDE SPEAKERS INCLUDE SPEAKERS INCLUDE SPEAKERS INCLUDE AI at Enterprise Scale – The Four Dimensions of Figuring Out Applied ML: Building Frameworks and How Target is Using AI to Modernize its Supply Chain AI/ML Advances and Impact on Sales and Marketing Sustainable Success Teams to Operationalize ML at Scale Paritosh Desai, Chief Data and Analytics Officer,Target Director for The Centre on Global Brand Leadership, Columbia JOB TITLES IN ATTENDANCE SVP, AI Enterprise Solutions, Wells Fargo Director of Clinical Decision Systems, CVS Health Business School Next-Gen Retail: Continuous Innovation at the AI for Insurers Case Study: Modelling The Value of Risk How to Start and Scale AI Powered Automation in Life Walmart Intelligent Retail Lab AI in Marketing in The Age of Humans with Machines Head of Modelling & Insights Americas (VP), Swiss RE Sciences Jason Nichols, Director of AI, Intelligent Retail Lab, Walmart CMO, Hux – Deloitte Digital CXOS • SVPS • DIRECTORS • HEADS OF • LEADS Global Leader of Industry Strategy for Life Sciences, Automation Proactive Compliance Risk Management & Anywhere How Shopify Leverages Data and ML to Power 1M+ How Well Does AI Understand Culture? (from Operations, Finance, Marketing, Customer Service, HR, Product Management, Investigations – Powered by AI Merchants SVP Technology, VaynerMedia ITSecurity, Innovation, Business Intelligence, and many more). Satish Lalchand, Deloitte Risk and Financial Advisory Leveraging Machine Learning and AI to Improve Xinyi Zhao, Technical Product Lead, Shopify Quality and Patient Safety – Lessons from The Frontlines CXOS • SVPS • DIRECTORS • HEADS OF • LEADS VP of Clinical Innovation, Mount Sinai (from Data Science, Deep Learning, Machine Learning, AI, Product, Engineering, A Data-Sharing Model to Accelerate The Analytics, NLP, RPA, and many more). Implementation of AI in Pharma Head of AI Data Centre Excellence, Pfizer

RETURN TO PROGRAM TOPICS PAGE AI TRAINING ACADEMY

INTRODUCTION TO INTRODUCTION TO INTRODUCTION TO MACHINE LEARNING NATURAL LANGUAGE PROCESSING DATA SCIENCE IN PYTHON

Designed for data science and ML beginners, this course will Join Dr Carlo Lipizzi, Professor at Stevens Institute of This beginner-friendly course will familiarize you with the core walk you through machine learning concepts with SciKit- Technology, as he guides you through NLP tools while showing Python data science tools including Jupyter, Numpy, Pandas Learn, a full-featured machine learning toolkit for Python. you their real-world applications, setting solid foundations for Matplotlib, and Scipy – enabling you to start your journey into With the package including hands-on practical guidance from your pathway into the field. Learn and understand popular NLP the world of data science. And if you’re looking to further focus an experienced trainer, a complementary online Python workflows with interactive examples, understand how to clean your abilities in data science, this course can be complimented programming course, and a data science and machine learning and handle unstructured text data, and complete NLP tasks – with Introduction to Machine Learning, which will continue in book, you will leave the course fully equipped to put your new including text classification, sentiment analysis, text clustering, the afternoon. skills into practice. summarization, topic models and recommendations.

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8 NEW TRACKS THE LOUNGE DIGITAL DELEGATE REPORT DEEP-DIVE TRAINING & WORKSHOPS INNOVATION SHOWCASE

Our tracks provide our audience with An exclusive lounge on the show-floor for Our world leading research business – Tractica This year we’re providing our delegates with two The Innovation Showcase provides a platform the opportunity dig even deeper into the our VisionAires community, hosting a range of – will be providing all delegates with a research days packed-out with dedicated workshops and to present and learn about some of the most implementation opportunities and challenges CxO fireside chats with special guest speakers, report overlapping with the themes, topics, and training opportunities. Ranging from foundational exciting developments in the space. Includes a for their industry, with stages covering Retail, Chatham House Rules roundtables, and a more organisations involved in this year’s show. Covering training sessions from The AI Academy – our carefully curated agenda of technology pioneers Sales and Marketing, Finance, Healthcare & informal continuation of the topics and themes the key facts and figures about the show and specialist training arm – to detailed product and demonstrating their solutions. Pharma. In addition, we are introduced our presented on the Deliver Stage. exclusively produced for New York 2019. platform workshops from leading vendors from brand new AI Academy Training Track, AI across the market Implementation Lab and AI Development Lab. UNPRECEDENTED EXPOSURE! UNRIVALED GLOBAL EXPOSURE THROUGH EXTENSIVE PRESS & MEDIA COVERAGE OF The AI Summit

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SVP, Digital Strategy, VP, Analytics, VP, Digital Innovation, CCO, Chief of Staff, COO, Director Head of Data Sciences CTO Group IT Director General Manager - MRO CTO Head of AI Head of AI Head of Data Science & Head of Enterprise Head of IT Head of Strategy, Science Head of Online and Tech Technical Director, VP, Audit, VP, IT, Chief Architect, Chief Scientist, CTO, Director of IoT & Bank of America Walmart Bayer USAA Capital One BNY Mellon SAP Telegraph Media Group The Economist Thomas Cook Group Engineering Travelodge JD Sports Lloyds Banking Group Solutions Architecture Bank of England AIG BBC Ford Las Vegas Sands DaVita Juniper Networks JD.com Philips Healthcare Machine Learning, Toshiba Delta Allied Ireland Bank Royal Mail Group

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Managing Director Product Strategy VP, Data Science Global Head of IT Director Chief Digital Officer Head of Data Science VP Advanced VP Architecture and VP Innovation VP Data Analytics & VP Data Science VP Sr. Software Engineering SVP, SVP, Innovation, State VP, Applied R&D, First VP, Head of Self-Service Chief Architect, Senior Strategist, Federal Sr. Director, Growth SVP, SVP, Architecture, VP Technology Bank- VP, Digital, CBRE and Innovation for Nasdaq Global & Analytics Innovation Bird & Bird BMJ Data Solutions Engineering L’Oreal Applications Carlson Wagonlit Travel Citi Manager, Apple Michelin Farm Insurance American Title Big Data Analytics, Visa Reserve Bank of San Engineering, Lyft BBVA Compass Activision ing- FinTech, Silicon Corporate Solutions Division Airbnb Nike Barclays Bank of America Airbus Wells Fargo Francisco Valley Bank Nasdaq RAVE REVIEWS 2019

Huge thank you to the entire AI Business team for I think it’s amazing to see The show’s been fantastic, really impressed I must say AI Summit was Many thanks for a hosting a great event! The booth traffic was par- the crowd and the amount of with the enthusiasm of all the attendees… one of the best conferences brilliant conference and interest; lots of vendors and I have ever attended. The networking platform, it ticularly busy this year due to our location being start-ups here demonstrating we’ve had a lot of traffic at the booth here, talks and the speakers were was a joy to attend near the different theatres. We’re excited to follow powerful applications and which is very, very good from our standpoint all amazing. I had a chance and to speak. you’re just starting to see the to speak with BA, Oracle, AgorAI, Dyson, up with the attendees and see what opportunities tip of the iceberg – and it’s – a lot of great conversations with people. A Alibaba, and I have been in touch for a Tania Rebuzzi will come about! actually really interesting to very productive couple of days here. soft collaboration. It’s great. Director, see that. Head Front Angelo Vivo Brian Pawlus Project Lead | Swansea University Support, Sales Operations Analyst | Lionbridge Technologies Inc Joseph Sirosh, Senior Director | Oracle Adaptive Intelligent Apps Credit Suisse CTO of AI, Microsoft

The Ai Summit to me is a great opportunity to learn really quickly from It’s exciting to meet a lot of our lots of smart people…and being able to walk around here and see all customers who are here. Building I have had little involvement with AI and Many thanks for the opportunity to attend. It was those relationships further – IBM’s machine learning, however the conference has an exciting event full of information and interaction the new, cool things people are working on…it’s being part of that com- here, and we’ve just integrated given me some wonderful insight into different fuelling our next steps in AI discovery and strategy munity, understanding what’s coming, and being able to see how some with their Watson hub. So meeting tools and approaches we could take to traditional of these technologies apply to our world, our brand, and for our guests. a lot of great companies, and development. great people. problems at work. I feel great for having attended. There’s no better place to be. Rustam Sanaev John Oringer Senior Business Analyst | University of Nottingham Global Business Analyst, IT - Operations Sherif Mityas, Chief Experience Officer | TGI Fridays CEO | Shutterstock British American Tobacco UNRIVALLED CONTENT Join the most visited news portal and online community on Artificial Intelligence for the business world, including 50k+ Twitter followers on @Business_AI

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