AI MEANS BUSINESS · AI Product Manager AIG Christopher Rice Director, Research and Analysis National Security Commission on Artificial Intelligence Sriram Subramanian Head of Data

NEW YORK 2019

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11-12 DECEMBER 2019

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BRINGING THE AI COMMUNITY TOGETHERSTRATEGIC IMPLEMENTATION – INTELLIGENT EXECUTION – PIONEERING OPTIMISATION

The AI Summit New York is designed to provide the platform to both turbocharge and safeguard your organisations’ AI journey. Whether through one-to-one engagement with AI pioneers, world-exclusive presentations from leading business strategists, or deep-dive workshops with the brightest minds in tech.

Across 8 content tracks, zonal exhibition, and dozens of workshops and show floor features – the AI Summit remains laser-beam focussed on genuine use-cases, real life business applications, and success stories from across business functions, and across core industry verticals. This presents a unique opportunity to access and engage with a cross-section of decision makers across The Enterprise in a single event.

From the C-Suite leaders establishing the AI strategy (Deliver Community) to the technical and line of business leads who manage and deliver the implementation of AI projects (Implement Community) through to the internal advocates and technical talent building and integrating AI (Develop Community).

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.

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DELIVER STAGE

IMPLEMENT STAGE

DEVELOP STAGE

AI FINANCE SUMMIT

AI HEALTHCARE SUMMIT

AI TRAINING ACADEMY

In partnership with the Innovation Academy, this year’s

new AI Academy Track will feature a 2-day training program

of high-impact short courses, designed specifically for the enterprise developer, data

scientist, and software engineer community.

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AI SALES & MARKETING SUMMIT

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Atish BanerjeaGlobal CIOFacebook

Smith YewellCEOWeLocalize

Ravi BoggaramCTO and Sr. Director - Global Digital ServicesPepsiCo

Stephen WongChief Research Informatics OfficerHouston Methodist

Anthony Macciola Chief Innovation OfficerABBYY

Erik NylenSenior Director, Data Science LeadNBA

Thomas StubbsVP of Engineering and InnovationCoca Cola Company

T. Scott ClendanielChief Data Scientist - Strategic Artificial Intelligence LabLegg Mason

Nosa OmoiguiFounder and CEOWeave

Sanjay SrivastavaSVP, Chief Digital OfficerGenpact

Tolga KurtogluPresidentPARCa Xerox Company

Maryam FarooqFounder and DirectorNYAI

Vish SankaranGroup CIOWalgreens Boots Alliance

Thomas VincentSenior Director, Head of Data ScienceGetty Images

Colin BeirnePartnerTwo Sigma Ventures

Alice ChangFounder and CEOPerfectCorp

Josh SuttonCEOAgorai

Bjorn AustraatSVP, AI Enterprise Solutions - Agile AIWells Fargo

Paritosh DesaiChief Data and Analytics OfficerTarget

Serkan PiantinoFounder and CEOSpell

Phil GrayEVP Corporate Development and Product StrategyInteractions

Monica CaldasVP and CIOLiberty Mutual Insurance

Shiladitya GhoshSenior Director - Lead, Financial Services Innovation LabsPublicis Sapient

Natalie A. PierceShareholder, Co-Chair, Robotics, AI and Automation Practice Group, Littler

Yousuke OkadaFounder & CEOAbeja

Lawrence EdmondsonSVP of TechnologyVaynerMedia

KV DipuPresident & Head of Operations and Customer ServiceBajaj Allianz General Insurance

Rashed HaqGlobal Head of AI, Robotics & DataPublicis Sapient

Katica RoyCEOPipeline Equity

Mike BergerVP, Chief Data & Analytics OfficerMount Sinai Health System

Elizabeth CarrascoCTOCBS Interactive

Lori BeerGlobal Chief Information OfficerJPMorgan Chase

Tanuja SingeethamVP, Digital MarketingBEHR Paint Company

Ranjit JangamExecutive Director, Data ScienceComcast

Jeff McMillanChief Analytics and Data OfficerMorgan Stanley

Sandeep BajajGroup Chief Digital OfficerEverest Re

Jose MurilloChief Analytics OfficerBanorte

Andy PeartChief Marketing and Strategy OfficerArtificial Solutions

STAR KEYNOTES

Sheryl JacobsonConsulting Strategy and Transformation LeaderDeloitte

Sushil ThomasVP Engineering – Machine LearningCloudera

Rich DuttonHead of Machine Learning for Corporate EngineeringGoogle

General Patrick HustonAssistant Judge Advocate General for Military Law and Operations (MLO)U.S. Army

Hassan TettehHealth Mission ChiefDepartment of Defense

Aditi BakerVP - Head of Pricing & Portfolio Analytics, Primary CasualtyAIG

Ryan KeeDirector - Innovation, AIWalmart

Ashish BansalSenior Engineering Manager, ML (RecommendationsTwitter

Kevin StantonChief Services OfficerMastercard

Kris BartonChief Product OfficerUSA Today Network

Jane NemcovaManaging Director of Artificial IntelligenceLionbridge

Ankit MangalAssociate Director, Web AnalyticsWayfair

Ramnath Sai SagerProduct Marketing LeadPure Storage

Dan DarnellSenior Director of MLOps ProductsDataRobot

Luyuan FangHead of AI Lab - VP TechnologyExpedia Group

Andreas SchmidtProduct DirectorBlue Yonder GmbHa JDA Company

Michael ConnorDirector of Software, Tools and InnovationCoca Cola

Subroto MukherjeeHead of Innovation and Emerging Technology, AmericasGlaxoSmithKline

Sarah KarthiganGlobal AI Executive - Data Science ManagerExxonMobil

Hamza GhadyaliAI Specialist and Machine Learning DeveloperSAS

Salahuddin KhawajaManaging Director, Automation/Global Risk Bank of America

Sid RaisoniHead of Decision ScienceNestle Waters

Cole DutcherAssociate Director of EngineeringWalmart Labs

Ehsan YousefzadehAI Product ManagerAIG

Christopher RiceDirector, Research and AnalysisNational Security Commission on Artificial Intelligence

Sriram SubramanianHead of Data SciencesConde Nast

Atul SonejaGlobal HeadEdgeVerve

Anindya GhoseHeinz Riehl Chair Professor of Business at Stern School of BusinessNew York University

Rajeev SambyalDirector of Artificial Intelligence & InnovationBNY Mellon

Boyi XieHead Modelling & Insights Americas, VPSwiss Re

Mihail SirotenkoTeam Lead - Senior Applied Researcher, GoogleAIGoogle

Murali NandigamaDirector of EngineeringBarclays

Gabriel PhilippeHead of Sales and PartnershipsPrevision

James BongiHead of Strategy and Operations for Artificial IntelligenceNovartis

Sam RingerMachine Learning EngineerSpeechmatics

Julia BenzArtificial Intelligence / Machine Learning Lad – Office of The CIOFord Motor Company

Nisha BhaskaranMachine Learning Engineer,Paypal

Thomas DyarProduct SpecialistIntersystems

Rafael DepetrisPrincipal ScientistKadmon

Rahul TyahiAnalytics DirectorFormer ColPal

Jason NicholsDirector of AI, Intelligent Retail LabWalmart

Farah GasmiDirector of AI ProductsArgo Group

Romy HussainDirector, Healthcare EconomicsJohns Hopkins Healthcare

Vishal ShethDirector, TransformationNew York Presbyterian Hospital

James LyleDirector, Custom Linguistic SolutionAppen

Nels LindahlDirector, Clinical Decision SystemsCVS Health

STAR KEYNOTES

Eduardo Aguilar PelaezProduct Manager for AI/MLCanonical

Rachel TrombettaSoftware Engineering DirectorGE Digital

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James BrusseauDirector - Data Ethics SitePace University

Jan NeumanSenior Director - Applied AI ResearchComcast

Keoki Jackson CTOLockheed Martin

Ken WashingtonCTOFord


DAY 1 – WEDNESDAY, 11 DECEMBER

09.00 Welcome Address

09.10 Opening Keynote: Evolving a global institution around AI A conversation with Lori Beer, Global Chief Information Officer, JPMorgan Chase

09.35 AI meets AR- Supercharging model building and validation for regulatory compliance Seth Dobrin, VP Data and AI, Chief Data Officer Cloud and Cognitive Software, IBM

10.00 The future of the Energy Industry Former Sec. Rick Perry, Secretary of Energy

10.25 There is Nothing Artificial About Artificial Intelligence - What’s Real, What’s Hype and How to Get Going? Jeff McMillan, Chief Analytics and Data Officer, Morgan Stanley

10.50 Unlocking AI in the enterprise Sanjay Srivastava, SVP, Chief Digital Officer, Genpact

11.15 Morning networking break

11.55 Innovating The Future of AI-enabled Autonomous Flight with Lockheed Martin, Keoki Jackson, CTO, Lockheed Martin

12.20 AI: Cyber defense of cyber-threat? Justin Fier, Director of Cyber Intelligence and Analytics, Darktrace

12.45 The emerging distributed application platform for AI-assisted business • Where Digital Transformation meets LoB evolution

• What is the case for instrumentation? • Who is successful at unlocking new business value using AI-assisted operations

Geng Lin, EVP & CTO, F5 Networks

13.10 Lunch break and opportunity to visit the expo

14.00 The future of AI in China Chua Kong Ho, Technology Editor, South China Morning Post

14.10 Smarter Enterprises Built on AI, Atul Soneja, Global Head, Edgeverve

14:35 Anticipatory Banking: Using AI to Create Advantage in a Digital World Rashed Haq, Global Head of AI, Robotics & Data, Publicis Sapient

15.00 Accelerating the AI Journey Through Open Innovation Tolga Kurtoglu, President, PARC, a Xerox Company

15.25 At the edge of AI – what’s possible? Mick Hollison, Chief Marketing Officer, Cloudera

15.50 Afternoon networking break

16.30 Can AI Help to Close the Gender Equity Gap? Katica Roy, CEO, Pipeline Equity

16.55 The State of AI: Opportunity and Responsibility Ron Bodkin, Technical Director, Applied Artificial Intelligence, Google

17.20 Headline panel: The role of policy and regulation in the development of AI Ana Arino, Executive Vice President and Chief Strategy Officer, New York City Economic Development Corporation Tim Bradley, Senior Advisor, Australian Government Manuel orales, Chief Scientist AI, National Bank of Canada Bob Cohen, Economist and Senior Fellow, Economic Strategy Institute

DELIVER – CXOS AND TOP-LEVEL BUSINESS LEADERS

09.00 Visit Deliver Stage for Opening Keynote

10.00 Delivering an AI-First Travel Experience - Building and Scaling an AI Platform at Expedia Luyuan Fang, Head of AI Lab – VP Technology, Expedia Group

10.25 From Chatbot to Conversational Excellence Andy Peart, Chief Marketing and Strategy Officer, Artificial Solutions

10.50 Improving the Future of Work through Enhanced Digital Intelligence Anthony Macciola, Chief Innovation Officer, ABBYY


11.45 Panel - The AI Ecosystem Imperative Sheryl Jacobson, Strategy and Transformation Leader, Deloitte Consulting

Rachel Trombetta, GE Digital, Software Digital Gauthier Vassuer, Executive Director, CEO and Founder, Berkeley Fisher Center

12.30 Top 3 Lessons Learned Deploying Real-World AI Ramnath Sai Sager, AI Product and Solutions Lead, Pure Storage

12.55 Using AI and Blockchain to Monetize the Mobile Economy Anindya Ghose, Heinz Riehl Chair Professor of Business at Stern School of Business, New York University


14.10 Building an AI Engine Your Customers Can Trust Lonnie Miller, Principal Industry Consultant, SAS Mike Isbill, Fellow/Data Analytics, Air Mobility and Maritime Missions, Lockheed Martin

14.30 WorkFusion Enterprise Success: NY-Presbyterian’s Use of Intelligent Automation Improves Customer & Employee Experiences Vishal Sheth, Director of Transformation, New York Presbyterian Hospital

14.55 AI at Enterprise Scale - The Four Dimensions of Sustainable Success Bjorn Austraat, SVP, AI Enterprise Solutions – Agile AI, Wells Fargo

15.15 Sustainability and profitability through AI in the supply chain Andreas Schmidt, Product Director, Blue Yonder GmbH, A JDA Company

15.35 Building First-Class Customer Facing AI Products Kris Barton, Chief Product Officer, USA Today Network


16.30 Building and Scaling AI Capabilities Across the Oil and Gas Value Chain Sarah Karthigan, Global AI Executive - Data Science Manager, ExxonMobil

16.50 The Business Outline for AI & BOT Deployment James Bongi, Head of Strategy and Operations for Artificial Intelligence, Novartis

DAY 1 – WEDNESDAY, 11 DECEMBERIMPLEMENT – SENIOR STRATEGISTS AND HEADS OF FUNCTION


09.00 Deliver Stage for Opening Keynote

10.00 Welcome and Introduction to AI Summit and NYAI Maryam Farooq, Founder and Director, NYAI

10.20 Navigating the Practical Challenges of Making AI Real – Data Integration, Data Quality Assurance and Model Implementation Hindol Basu, CEO, Actify Data Labs

10.45 Managing AI Research Projects Mihail Sirotenko, Team Leader Senior Applied Researcher, GoogleAI, Google

11.10 Comcast’s Deep Dive into The World of AI Jan Neuman, Senior Director – Applied AI Research, Comcast


12.00 Panel: AI and ML Enabled Speech Technology - Exploring The Latest Disruptions in The Space and Their Implications for Users Mark Beccue, Principal Analyst, Tractica Sam Ringer, Machine Learning Engineer, Speechmatics James Lyle, Director, Custom Linguistic Solution, Appen

12.40 Intelligent language systems: It’s not all about the data Aristotelis Kostopoulos, Vice President Product Solutions AI, Lionbridge


14.10 Kubeflow Pipelines - Speeding Up The Development Cycle for New Models and Simplifying Deployments of Models to Production Ammar Naqvi, Product Manager for Kubeflow, Canonical

14.30 Practical ML in DevOps: An example from Financial Technology Company Murali Nandigama, Director of Engineering, Barclays International

14.50 Real Time Event Detection on Social Media Streams Ashish Bansal, Senior Engineering Manager, ML, Twitter Samir Chainani, Senior Software Engineer, Twitter

15.10 Trevor Gurgick, Product Manager – Machine Learning and Data Science, Audible Inc

15.30 Using Data Science Insights to Help Users Challenge The Status Quo of Decision Making Kayla Brizo, Lead Product Manager – Data & Analytics, Sony Music Entertainment


16.30 Similarity in Machine Learning and AI Jennifer Shin, Product Director, Contextual and Adjunct Assistant Professor, NYU Stern School of Business at NBCUniversal Media

16.50 ML Platform Delivery – Getting Models into Production – A Case Study Joey Freund, Developer Manager, Shopify

17.10 Leveraging Neural Machine Translation Technology to Optimize Content and Business Processes

DEVELOP – HEADS OF TECH AND PRACTITIONERS

09.20 Chairperson’s Welcome

09.30 Harnessing Data to Inform Customer Personalisation Neil Sanyal, Global Head of Research Marketing, Morgan Stanley

09.50 Augmenting Your Digital Perspecctive to Empower Relationship Managers Speaker TBA, Citibank

10.10 Leveraging Purposeful AI to solve business problems Praveen Kombial, Global Product Head, Business Applications, Infosys

10.30 Harnessing Machine Learning to Overcome the Challenges of Regulation Management and Adherence


11.10 Delivering a Focused Strategy on Impactful, Actionable and Scalable AI Technologies in the Insurance Industry Sandeep Bajaj, Group Chief Digital Officer, Everest Re

11.30 Transforming Financial Services through RPA and Intelligent Automation Steven Gold, Global Industry Leader, Financial Services, Automation Anywhere

11.50 Real World Success Stories to Help You Prepare and Scale AI Christine Livingston, Chief Strategist and Practice Director, Artificial Intelligence, Perficient

12.10 Bringing Explainable AI to the Marketplace Ben Taylor, CEO, Rainbird

12.30 5 Worst Practices for AI/ML Deployments – And How to Avoid Them Matt Maccaux, Global Field CTO, HPE, BlueData

12.50 Consolidating AI into Long-Term Organisational Strategy


14.10 The Who Behind AI – Methodologies for the Product Managing of AI Products in Legacy Financial Services Companies Ehsan Yousefzadeh, AI Product Manager, AIG

14.30 Proactive Compliance Risk Management & Investigations – Powered by AI Satish Lalchand, Principal, Deloitte Risk and Financial Advisory

14.50 Weaving Artificial Intelligence into Enterprise Product Strategy Ashit Talukder, Head of Machine Learning, Moody’s Analytics Accelerator Rupinder Khandpur, Director of Software Architecture, Moody’s Analytics Accelerator

15.10 Levelling up Artificial Intelligence: Architecting Teams That Operate and Prioritize Efficiently Serkan Piantino, CEO & Founder, Spell

15:20 ICED(AI) Fireside Chat Lloyd Danzig, Chairman & Founder, ICED (AI)


16:05 AI in Insurance: Modelling the Value of Risk Boyi Xie, Head Modelling & Insights Americas, VP, Swiss RE

16:25 Machine Learning for Software Testing Speaker TBA, Exactpro Systems

16:35 Panel: Optimising Legacy IT Architecture to Facilitate Implementation of AI in The Financial Services Sector Andy Mahdavi, Chief Data Science Officer, States Title Speaker TBA, Winjit

DAY 1 – WEDNESDAY, 11 DECEMBERAI FINANCE SUMMIT


LOUNGE 1: AI FORBES BOARDROOM – CXO SEMINARS

09.00 Creating A Data Literate, AI Ready Business from the The Top Down

11.00 Investment Strategies – Identifying Emerging Low-Risk / High Return Use Cases in Automation and AI

14.30 Business Leaders’ Essential AI Market Overview with Tractica – Q4 Forecast Update & 2020 Outlook Aditya Kaul, Research Director, Tractica Keith Kirkpatrick, Principal Analyst, Tractica

LOUNGE 2: AI IMPLEMENTATION STUDIO – HEADS OF FUNCTION WORKSHOPS

09.00 Intelligent RPA Workshop – Platform + Use Case Discovery for Snr. Practitioners & Product Leads

11.00 AI Opportunity Audit – AI Road mapping Session w/ Leading Solution Provider

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

LOUNGE 3: AI DEVELOPMENT LAB – PRACTITIONER WORKSHOPS

09.00 Explainable and Ethical AI – 101 for AI Engineers and Developers

10.30 Building and Implementing Machine Learning Enabled Recommendation Systems

13.00 Feature Engineering for Boosted Model Performance T.Scott Clendaniel, Chief Data Scientist, Strategic Artificial Intelligence Lab, Legg Mason

LOUNGE 4: AI ACADEMY– TRAINING SESSION

09.00 Introduction to Data Science in Python Rick Copeland, Python Programming Expert and Innovation Academy Trainer, Instructor, Entrepreneur and Developer

14.00 Introduction to Machine Learning Rick Copeland, Python Programming Expert and Innovation Academy Trainer, Instructor, Entrepreneur and Developer

AI RETAIL SUMMIT

09.50 Chairperson’s Welcome

10.00 How Target is Using AI to Modernise its Supply Chain Paritosh Desai, Chief Data and Analytics Officer, Target

10.25 Beauty AI 360: Mastering AI for Consumer-Centric Solutions Alice Chang, CEO & Founder, PerfectCorp

10.50 Next-Gen Retail: Continuous Innovation at the Walmart Intelligent Retail Lab Jason Nicholas, Director of AI, Intelligent Retail Lab, Walmart


11.45 Using AI to Drive Revenue Across the Retail Industry Keith Kirkpatrick, Principal Analyst, Tractica

12.10 Building Out ML Solutions to Augment B2B Sales

12.35 Using the Data You Have to Get the Data You Want Ryan Kee, Director, Innovation AI, Walmart

13.00 Networking Lunch

14.00 How Shopify Leverages Data and ML to Power 1M+ Merchants Xinyi Zhao, Technical Product Lead, Shopify

14.25 Creating and augmenting multi-channel self-help customer experiences Speaker TBA, Agara

14.50 Re-Thinking Inventory Management Process with AI/ML

15.15 Measuring Incremental Value of a business using Machine Learning Algorithms – CastleGate Wayfair Case Study Ankit Mangal, Associate Director, Web Analytics, Wayfair


16.20 Video Surveillance Analysis Tools to Inform Brick-and-Mortar Retail Strategy

16.45 Driving Profitability with AI-Powered Customer Insights at Sears Speaker TBA, Sears

DAY 1 – WEDNESDAY, 11 DECEMBERLOUNGES

DAY 2 – THURSDAY 12 DECEMBER DAY 2 – THURSDAY 12 DECEMBER

09.00 Welcome Address

09.10 Innovating at WBA – lessons learnt Vish Sankaran, Group CIO, Walgreens Boots Alliance

09.35 Levaraging your cloud investment to enable AI opportunities Senior Representative, Microsoft

10.00 The future of AI for business through the eyes of Google Cassie Kozyrkov, Chief Decision Scientist, Google

10.25 Evolving from an insurer to a fintech: how will your business evolve? Monica Caldas, SVP & CIO, Liberty Mutual Insurance


11.30 A Fireside chat: How AI is reshaping Media? Elizabeth Carrasco, CTO, CBS Interactive

11.55 How everyday life is powered by AI on AWS Senior Representative

12.20 AI taking Mastercard further: pushing the limits of your business JoAnn Stonier, Chief Data Officer, Mastercard

12.45 Embedding your AI and ML teams in your business: A Google approach Rich Dutton, Head of Machine Learning for Corporate Engineering, Google

13.10 Lunch Break and opportunity to visit the expo

14.00 How is AI extending the customer life time value at Banorte Jose Murillo, Chief Analytics Officer, Banorte

14.25 AI to ROI: Leveraging data to maximise your returns Josh Sutton, CEO, Agorai

14.50 Scaling AI across your large-scale enterprise: the real goal Ravi Boggaram, CTO and Sr. Director – Global Digital Services, PepsiCO


15.45 Structuring a Data Science team to focus on Sales and Marketing Thomas Vincent, Senior Director, Head of Data Science, Getty Images

16.10 Reserved for Industry Partner

16.30 COMING APART: A conversation about the mechanics of how we became one nation divided by content, and what we can do about it

09.30 Welcome from Chair Implement – Senior Strategies and Heads of Function

09.40 NSCAI Dialogue with Industry Christopher Rice, Director, Research and Analysis, National Security Commission on Artificial Intelligence

10.00 Where ML Models Meet The Real World Dan Darnell, Senior Director of MLOps Products, DataRobot

10.20 Predicting Content Virality to Drive Social Traffic Sriram Subramanian, Head of Data Science, Conde Nast

10.40 Machine Learning Approach for Analyzing Educational Effectiveness Youngduck Choi, AI Tech Leader, Riid



11.30 Operationalizing Machine Learning Across The NBA – Case Study Erik Nylen, Senior Director, Data Science Lead, NBA

11.50 Panel: Operationalizing ML Across The Business - How to Best Join Up Data Strategy and Model Deployment with Existing Organisational Structures Aditi Baker, Vice President, Head of Pricing & Portfolio Analytics, Primary Casualty, AIG Adi Ghosh, Senior Director – Lead, Financial Services Innovation Labs, Publicis Sapient Niranjan Thomas, General Manager, Developer Platform & Solution Engineering, Dow Jones Rajeev Sambyal, Director of Artificial Intelligence & Innovation, BNY Mellon Sushil Thomas, VP Engineering, Machine Learning, Cloudera

12:30 Scaling POC Success - Delivering Proven AI Product Implementation Across Different Lines of Business - A Framework Farah Gasmi, Director of AI Products, Argo Group

12.50 RESERVED – Turbocharging AI Initiatives Through The Adaptation of Workplace Environments


14.00 Methodologies for Successful Implementation of Decision Science in Your Organisation Sid Raisoni, Head of Decision Science, Nestle Waters

14.20 Architecting Large Scale AI Adoption in Legacy Organizations – Salahuddin Khawaja – Managing Director, Automation/Global Risk, Bank of America

14.40 How Well Does AI Understand Culture? Lawrence Edmondson, Senior Vice President of Technology, VaynerMedia

15.50 Networking Break

15.45 Why the Privacy Company is the Most Important Business You Have Never Heard Of James Brusseau, Director Data Ethics Site, Pace University

16.05 Generating Business Value from your AI Investments Rahul Tyagi, Analytics Director, Former ColPal


DAY 2 – THURSDAY 12 DECEMBER

09.45 Delivering Enhanced Digital Customer Experiences – New Methods of Segmentation and Data Interpretation Roberto Ojeda, Tech Lead – Machine Learning Engineer, Spotify

10.10 A Data-Sharing Model To Accelerate the Implementation of AI in Pharma Sandeep Burugupalli, Head of the Data Center of Excellence, Pfizer

10.35 From data to deployment and back: Challenges across the application development journey Thomas Dyar, Product Specialist, Intersystems


11.30 Conversational AI for Customer Care Cole Dutcher, Associate Director of Engineering, Walmart Labs

11.50 Intelligence Experimentation Using Binomial Multi-Arm Bandit Nisha Bhaskaran, Machine Learning Engineer, PayPal

12.10 Consumer Segmentation for Marketing and Product Strategies Using Various Machine Learning Techniques Ranjit Jangam, Executive Director, Data Science, Comcast

12.30 Abeja Platform: Orchestration of human intelligence and artificial intelligence with Japanese quality assurance Yousuke Okada, Founder & Chief Executive Officer, Abeja

12.50 AI for Faster and Better Decision Making in Monitoring Oil and Gas Assets Trace Smith, Lead Data Scientist, ExxonMobil


13.50 Fireside Chat: Hyperpersonalizing The Customer Experience with Conversational AI Dan Abelon, Partner, Two Sigma Ventures Sunny Parikh, Vice President and Co-Head, FinTech Innovation Lab NY, Partnership Fund for New York City

DEVELOP – HEADS OF TECH AND PRACTITIONERS

14.20 AI & Cybersecurity: Teaming up to Defend Against Current and Future Cyber Threats Chris Cochran, Threat Intelligence and Operations Lead, Hacker Valley Studio Ronald Eddings, Security Architect Leader, Hacker Valley Studio

14:20 Scaling Conversational AI: A Platform-Based Approach to Conversational Applications Andrei Papancea, CEO, NLX

14:30 Know more, read less: AI-powered reading, comprehension and retention Nosa Omoigui, Founder and CEO, Weave

14:40 AutoML: Simplified, Head of Sales and Partnerships Gabriel Phillipe, Prevision

14:50 Maintaining Reproducibility When Deploying Multi-Stage Data Pipelines Senior Representative, Pachyderm

15:00 Art as an Interface for Wearable Technology Philip H Wilck and Tiia Vahula, Utopia Blu

INNOVATION SHOWCASE


09.20 Chairperson’s Welcome and Introduction Shane Walker, Research and Analysis Director,IHS Markit

09.35 Humanistic Care in the Age of AI Hassan Tetteh, Health Mission Chief, U.S. Department of Defense

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, Automation Anywhere

10.25 Convergent AI in Medicine – Reduce Wastes, Do No Harm, and Avoid Misdiagnosis Stephen Wong, Chief Research Informatics Officer, Houston Methodist

10.50 Party at the DiSCO – How to Start Your Own Data Science Center of Excellence Mike Berger, VP Chief Data & Analytics Officer, Mount Sinai Health System


11.45 Figuring out Applied ML: Building Frameworks and Teams to Operationalize ML at Scale Nels Lindahl, Director, Clinical Decision Systems, CVS Health

12.10 Answering Hard Questions: Practical Examples of Analyzing Text to Solve Real Problems in Pharma Ryan Welsh, Founder & CEO, Kyndi

12.35 Key Strategies for Organisation-Wide Transformation in Healthcare

13.00 How to Tag Medical Records to Create Vital Data & Analytics Doug Kemp, SVP and Managing Partner, Synodex LLX, Innodata


14.10 The Role of AI in Structure Based Drug Design, advantages and challenges Rafael Depetris, Principal Scientist, Kadmon

14.35 Taking Your Medical AI From the Lab to the Bedside Speaker TBA, iMerit

15.00 How Machine Learning is Revolutionizing Consumer Healthcare at GSK Subroto Mukherjee, Head of Innovation and Emerging Technology, America, GlaxoSmithKline

15.25 Afternoon Networking Break

16.05 Leveraging Machine Learning and AI to Improve Quality and Patient Safety: Lessons from the Frontlines Robbie Freeman, VP, Clinical Innovation, Mount Sinai

16.30 Callisto: Tactical Decision Intelligence in Health Management Romy Hussain, Director, Healthcare Economics, John Hopkins Healthcare

AI HEALTHCARE SUMMIT


09.10 Chairperson’s Welcome and Introduction Mark Beccue, Principal Analyst, Tractica

09.35 AI/ML Advances and Impacts on Sales and Marketing Matthew Quint, Director, Center on Global Brand Leadership, Columbia Business School

10.00 Performance Linguistics: The Engine Driving AI Success Smith Yewell, CEO, WeLocalize

10.25 AI in Marketing in the Age of Humans with Machines Alex Kelleher, CMO, Hux by Deloitte Digital

10.50 The Power of Conversational AI and How it Can Transform CX Priyanka Tiwari, Director of Product Marketing, Interactions


11.45 AI & The Magic Customer-Getting Machine Will Thompson, VP and Managing Director, Thought Leadership, Forbes

12.10 Differentiating Customer Experiences with Omni-Channel Customer Solutions Seb Reeve, Director of International Go-To-Market, Intelligent Engagement, Nuance

12.35 Right Messages, Right Time, Right Channels – Targeting HCPs with AI and ML Hemal Somaiya, Global Marketing Director, Merck Group

13.00 Driving Your eCommerce Strategy With AI


14.10 AI as Creative Collaborator Claire Mitchell, Director, Innovation, VaynerMedia

14.35 Rebel Bot Bootcamp: Put Your Fat & Confused Bots on the Pragmatic Diet, Abinash Tripathy, Co-founder and Chief Strategy Officer, Helpshift

15.00 Making Money with Voice Commerce William Ammerman, EVP, Digital Media, Engaged Media

15.25 Afternoon Networking Break

16.05 Transforming Digital Experiences by Understanding the Customer’s Current Journey KV Dipu, President & Head of Operations and Customer Service, Bajaj Allianz General Insurance

16.30 Boosting Social Media Success with AI-Powered Post Recommendations Speaker TBA, Conde Nast

AI SALES, MARKETING AND CX SUMMIT


LOUNGE 1: AI FORBES BOARDROOM – CXO SEMINARS

09.00 AI Business Model Reinvention Workshop

11.00 Introducin AI to The Contact Centre/ Service Centre – OPEX Reduction Masterclass for Senior Strategists

14.00 AI Product Manager & Chief Product Officer Hosted Roundtables – Building an AI Product Team That Deliver

LOUNGE 2: AI IMPLEMENTATION STUDIO – HEADS OF FUNCTION WORKSHOPS

09.30 Advance Analytics – Early Stage Roadmapping Workshop for Data and Analytics Leaders

11.30 RPA Workshop – Workflow Automation Strategies and Platform Demo Workshop

14.00 Business Case Matchmaking Sessions – AI Solution Roadshow (End-Users + Vendors)

16.00 Scaling POCs Across Different Business Division / Units – Masterclass Session for Senior Practitioners

LOUNGE 3: AI DEVELOPMENT LAB – PRACTITIONER WORKSHOPS

09.30 RPA Bot Development Session – Platform Demo + Hands on Workshop

11.30 Workshop: Exploring Computational Approaches for Cancer Research Naomi Ohashi, Data Science Collaboration Development, Frederick National Laboratory for Cancer Research

14.00 Platform and Tools Test-Drive + Drop in Centre (Leading Vendor Platform + Product Suite)

16.00 Human-Centred Design – Enterprise AI Product Design Workshop

LOUNGE 4: AI ACADEMY – TRAINING SESSIONS

9.00 Introduction to Natural Language Processing Carlo Lipizzi, Professor at Stevens Institute of Technology & Principal Investigator for Systems Engineering Research Center at Stevens Institute of Technology

LOUNGES

DELIVER STAGEThe AI Summit New York’s central keynotes stage brings together the brightest minds from pioneering enterprises and AI innovators sharing their game-changing ideas, sharing exclusive insights that will inform your AI strategy. You’ll get a front row seat to inspirational CxOs from the industry’s true heavyweights, taking you along how they deliver their AI roadmap.

• Stories of internal and external disruption, and the journeys that 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.

• The practitioners and content tracks to build out your big-picture ideas 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 required to deliver different types of technologies (RPA, NLP, ML, DL, CV, etc) into your business, alongside proven case studies.

THE PIONEERS OF THE DELIVER COMMUNITY WILL ADDRESS

JOB TITLES IN ATTENDANCE

• CXO • BOARD ROOM • EXECUTIVE DIRECTOR • MANAGING DIRECTOR

CONFIRMED SPONSORS FOR THESE TRACKS

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View the full program here

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DELIVER AGENDA THEMES

RESPONSIBLE AI IN YOUR BUSINESSImplementing AI in an ethical way is a major priority for every business. What are we doing to ensure our data is unbiased, our teams reflect our models, we are using data in a responsible way, we are following regulatory guidelines and ultimately our results are accurate are questions that keep every CxO in tech up at night.

STRUCTURING YOUR AI DEPARTMENTAI teams can often be siloed as a central department. But is this the best way to structure your team? How do the pioneers and disruptors view this challenge and how can you get your department in the best possible position to make a difference?

IMPLEMENTING AI AT SCALE ACROSS YOUR BUSINESSWhile creating AI pilots in isolation is relatively easy to accomplish, creating multiple AI programs that interact and work off of one another is a whole different ball game. The challenge of scale is one that forces businesses not just to look at tech infrastructure and siloed automation but to address their wider business operations. So, how can you scale AI?

STAYING SAFE – ENSURING SECURITY ACROSS THE BUSINESSAI relies on having huge quantities of uniformed and accurate data which also makes those companies leveraging AI, key targets for cyber-attacks. What are you doing to stay bullet-proof?

AI CHANGING YOUR BUSINESS MODELAs every industry and job function hits AI head on, a wealth of opportunities has arisen for businesses. Different ways of viewing your business, your revenue streams, your costs and the way you identify causes businesses to look at their model top-down.

TRANSFORMING A LARGE ENTERPRISE INTO AN INNOVATORAs a large business, getting ahead of tech and industry curves can be a challenge. So how can you create agility, proactivity and innovative thinking in a structure that can sometimes be stifling?

THE RESPONSIBILITY OF BUSINESS IN CREATING A BETTER WORLD What is your business doing to create a better world? How is technology feeding into this?

FUTURE-PROOFING YOUR BUSINESS IN AN AGE OF DISRUPTIONTechnology has enabled nimble and innovative thinkers with small budgets to disrupt and sometimes own entire industries. So how can you compete with what might not already be there? How can you ensure you are right on the pulse?

THE EVOLVING PLAYING FIELD – THE ROLE OF POLICY AND REGULATIONIn an era where technology advances at unprecedented speed, what role do the policy makers and regulators play? How should government be working with industry to ensure AI has the largest possible positive impact on business and society.

AI BOARDROOM HOSTED BY:

11TH DECEMBER | DAY 1


07:30 - 08:30 Breakfast Briefing: The state of play presented by Tractica

09:00 - 10:30 Creating A Data Literate, AI Ready Business from The Top Down

11:00 - 12:30 Investment Strategies - Identifying Emerging Low-Risk / High Return Use Cases in Automation and AI

17:30 - 18:30 AI Industry Leaders Awards Reception + Drinks - INVITE ONLY

09:00 - 10:30 AI Opportunity Audit - Roadmapping Session with Solutions Provider

11:00 - 12:30Introducing AI to The Contact Centre / Service Centre - OPEX Reduction Masterclass for Senior Strategists

14:00 - 15:30AI Product Manager & Chief Product Officer Hosted Roundtables - Building an AI Product Team That Delivers




IMPLEMENT STAGE


• SVPS • DIRECTORS • HEADS OF • LEADS (from Operations, Finance, Marketing, Customer Service, HR, Product Manage-ment, IT, Security, Innovation, Business Intelligence, etc. and many more).

• SVPS • DIRECTORS • HEADS OF • LEADS (from Data

Science, Deep Learning, Machine Learning, AI, Product, Engineering, Analytics, NLP, RPA, and many more).

CONFIRMED SPONSORS FOR THESE TRACKSOur Implement Headline Stage and AI Implementation Studio are designed for senior practitioners and line of business leads to learn 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.

Whether through detailed exploration of AI-centric operating models, agile and effective ways of scaling proof of concepts, vendor selection processes or technology integration methodologies – this is where our Implement Community will find the answers.




WHAT OUR IMPLEMENT COMMUNITY WILL FIND AT THIS YEAR’S EVENT


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IMPLEMENT AGENDA THEMES

OPERATIONALIZING AI AND ML ACROSS THE BUSINESS A key challenge any organisation will face on their journey to become an AI-Centric organisation is getting their models not just built, but applied and integrated to into their organisations’ data architecture, IT architecture, and business processes. The process is multi-faceted – from the selection of data and building/buying of tools, through to the adaptation of organisational structures.

SCALING PROOF OF CONCEPTS AND SMALL-SCALE AI PROJECTS Preventing AI from happening in silos across an organisation is crucial. Failure to join up separate AI projects and investments across the business not only curtails the likelihood of evolving into an AI-Driven organisation, but also significantly reduces the ROI possible from new technology implementation. This year, our audience will benefit from detailed explanation of how leading organisations are doing it right.

CX, MARKETING AND VIRTUAL DIGITAL ASSISTANTS We live in the age of the customer. As their expectation increase, so must business’ investment in the solutions and resource to deliver against these. Whether that be through advanced voice-AI integration into chatbots, faster and more precise predictive capabilities for your marketers, or simply a more streamlined and accurate flow of customer data for your customer service team.

NLP AND COMPUTER VISION PRODUCT DEPLOYMENT AND OPTIMISATION NLP and Computer Vision technologies are maturing – and converging - fast with the help of machine learning and deep learning. As use cases grow – from talent management and customer experience, to security and surveillance – it is of paramount importance for business and technology leaders to identify the platforms and resources required to deliver NLP / CV Centric projects.

ENHANCED RPA AND IPA STRATEGIES AND METHODOLOGIESRPA and IPA technologies are already delivering massive value to businesses the world over, across virtually every line of business (from business intelligence, to customer experience, HR and more). However, to take it to the next level, leaders must start integrating technologies to bring process awareness, process discovery, and predictive capabilities to the table.

REDESIGNING WORKFLOWS & ORGANISATIONAL STRUCTURE TO FACILITATE AI Processes and people are the bedrock of every successful technology implementation project. If they aren’t aligned, AI projects will fall flat. This year, we’re providing the platform for the business leaders to share the tricks of the trade ensure that your organisation is actually prepared for AI, from the ground-up, and the bottom-down.

MANAGEMENT OF DATA SCIENCE AND DATAOPS PROGRAMMES Building a clear understanding of where to collect data from, how to select data for different purposes, platform selection, methods for training/retraining data (Etc.). The challenges facing data engineering and data science program leads are many. This year’s program will feature comprehensive discussions on the key challenges, from sustainable data quality, security, and deployment methods.

CASE STUDIES, CASE STUDIES, CASE STUDIESWhether within a single line of business, single industry, or a model framework for AI implementation – Implement is where you will find it.

AI PRODUCT MANAGEMENT In many respects, building an AI product or solution is only half the battle. Ensuring that it is adopted – at scale – across the different business functions is not only the key to success, but an immense challenge. Product leads must keep one eye on business value, and the other on resource management, agile working, and quality of solution delivered. Catch inspiring product leaders showing the way on Implement.

ENHANCED ANALYTICS ROAD-MAPPING Not every organisation or business function is at the same level of “data maturity”. Across Implement’s content this year, we will be inviting strategic leaders who have experience designing and delivering analytics roadmaps that have formed the basis for the most successful AI projects in the world.

AI GOVERNANCE AND ETHICS Ensuring that AI is leveraging and implemented securely, safely, and ethically is top of the agenda for businesses the world over. This year, leading organisations from the world-over share how they are helping to create an AI-Driven world that reduces inequality, promotes inclusiveness, and is both transparent and accountable.

OPENING THE BLACK BOX OF MACHINE LEARNING Key to this year’s show is demonstrating to senior strategists and line of business leads exactly how, why, and what goes into the development of ML/DL driven solutions, across different platforms. One of the main reasons ML projects fail is that business users may not fully identify the positive disruption that’s possible, because of lack of explainability. This year’s show aims to help solve this.

AI IMPLEMENTATION STUDIO New for this year, the AI Implementation Studio has been built and designed to allow for long-form, interactive sessions that encourage discussion amongst our Implement community, whilst also ensuring participants leave with concrete takeaways. Ran and hosted – over the course of two dayhs - by several leading figures and solution providers.



09:00 - 10:30 Intelligent RPA Workshop - Platform + Use Case Discovery for Snr. Practitoners & Product Leads

11:00 - 13:30 AI Opportunity Audit - AI Roadmapping Session w/ Leading Solution Provider

14:00 - 15:00 AI Solution and Service Monetisation - Opportunity Mapping for Vendor Market (hosted by Tractica)

15:30 - 16:30 Customer Insight Masterclass - Growing and Leveraging Predictive Analytic Capabilities Across Your Enterprise

16:45 - 17:45 Securing Your Enterprise - Leveraging ML for Threat Detection and Multi-Layer Security - Strategy Workshop + Demos

09:30 - 11:00 Advance Analytics - Early Stage Roadmapping Workshop for Data and Analytics Leaders

11:30 - 13:00 RPA Workshop - Workflow Automation Strategies and Platform Demo Workshop

14:00 - 15:30 Business Case Matchmaking Sessions - AI Solution Roadshow (End-Users + Vendors)

16:00 - 17:00 Scaling POCs Across Different Business Division / Units - Masterclass Session for Senior Practitioners



• BUILDING AND IMPLEMENTING MACHINE LEARNING ENABLED RECOMMENDATION SYSTEMS

• VOICE ANALYTICS + INTELLIGENT CHATBOT DEVELOPMENT • LEVERAGING AUTOML AND DIFFERENT ML PRODUCT SUITES • TRAINING MODELS VS MODEL MAINTENANCE • ML AND DL MODEL DEPLOYMENT • OPEN SOURCE AI AND DEMOCRATIZATION • HUMAN-CENTRED AI PRODUCT DESIGN • BUILDING DEEP NEURAL NETWORKS FOR NLP AND

COMPUTER VISION APPLICATIONS • DECISION SCIENCE • TRAINING AND DEPLOYING NEURAL NETS • MULTI-SOURCE DATA COLLECTION, MANIPULATION AND

UTILIZATION • BUILDING RPA/IPA BOTS ON DIFFERENT PLATFORUMS • UTILISING AUTOML TO AUTOMATE CRUCIAL TASKS • CHOOSING THE RIGHT ML MODEL FOR YOUR USE CASE • MANAGING YOUR MACHINE LEARNING LIFECYCLE WITH

MLFLOW • BUILDING DATA-CENTRIC PRODUCTS

AGENDA THEMES

AI DEVELOPMENT LABThe AI Development lab has been built and designed to allow for long-form, interactive sessions that encourage discussion amongst our Implement community, whilst also ensuring participants leave with concrete takeaways. Ran and hosted – over the course of two days - by several leading figures and solution providers.



09:00 - 10:30 Explainable and Ethical AI - 101 For AI Engineers and Developers

10:30 - 12:00 Building and Implementing Machine Learning Enabled Recommendation Systems

13:00 - 14:30 Operationalising Machine Learning in The Enterprise - Platform Specific Training for Data Scientists and Engineers

15:00 - 17:30 Open Source AI - Developer Drop in Centre and Lounge Session

09:30 - 11:00 RPA Bot Development Session - Platform Demo + Hands-on Workshop

11:30 - 13:00 Voice Analytics + Intelligent Chatbot Development Session for B2C Enterprise Development Team

14:00 - 15:30 Platform and Tools Test-Drive + Drop in Centre (Leading Vendor Platform + Product Suite)

16:00 - 17:00 Human-Centred Design - Enterprise AI Product Design Workshop

DEVELOP STAGEOur Develop Stage and AI Development Lab are designed for the engineer, developer, and data science community to experience and engage first-hand with the latest methods, tools, frameworks required to build AI, ML and DL solutions

Through a mixture of deep-dive presentations, hands on workshops, and small-room sessions, our Develop community will leave the event not only armed with the knowledge required to leverage the latest technologies, but crucially, a clear understanding of how to deploy solutions into their business, ensuring maximum ROI is received for their organisation.





WHAT OUR DEVELOP COMMUNITY WILL FIND AT THIS YEAR’S EVENT

• SOFTWARE ENGINEERS• MACHINE LEARNING

ENGINEERS • DATA SCIENTISTS • AI/DEEP LEARNING DEVELOPERS • NLP ENGINEERS/ANALYSTS • SOFTWARE DEVELOPERS

• DATA ENGINEERS • COMPUTER VISION ENGINEERS

ANALYSTS/DEVELOPERS • RPA ENGINEERS/ANALYSTS/

DEVELOPERS • SOLUTIONS ARCHITECTS • SYSTEM ENGINEERS




AI HEALTHCARE SUMMIT AI SALES & MARKETING SUMMITAI RETAIL SUMMIT

INDUSTRY STAGES


CXOS • SVPS • DIRECTORS • HEADS OF • LEADS (from Operations, Finance, Marketing, Customer Service, HR, Product Management, ITSecurity, Innovation, Business Intelligence, and many more).

CXOS • SVPS • DIRECTORS • HEADS OF • LEADS (from Data Science, Deep Learning, Machine Learning, AI, Product, Engineering, Analytics, NLP, RPA, and many more).

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 and rising pioneers alike as they demystify their AI application journeys and share how they are transforming their vertical-specific challenges into commercial success.

Also new for this year is an exclusive series of workshops and networking opportunities in our dedicated Industry Insights Lounge, specifically designed to provide the opportunity to meet, learn, and engage with your peers – sharing invaluable knowledge and experiences within as well as across industries.

AI FINANCE SUMMIT

AI at the forefront of cutting-edge innovation in health and pharma: trailblazing applications in disease diagnosis, drug discovery, patient care & more

How AI is instrumental for sales and marketing success – by leveraging customer data, supporting content generation & enhancing sales strategy

How AI is re-inventing the customer relationship: from product inception to demand forecasting, go-to-market strategy and customer engagement

Cutting through the hype, the real AI use-cases having a major impact across the financial services sector: from risk optimization and data reunification to cyber security and talent recruitment



SPEAKERS INCLUDEFiguring Out Applied ML: Building Frameworks and Teams to Operationalize ML at Scale Director of Clinical Decision Systems, CVS Health

How to Start and Scale AI Powered Automation in Life Sciences Global Leader of Industry Strategy for Life Sciences, Automation Anywhere

Leveraging Machine Learning and AI to Improve Quality and Patient Safety – Lessons from The Frontlines VP of Clinical Innovation, Mount Sinai

A Data-Sharing Model to Accelerate The Implementation of AI in Pharma Head of AI Data Centre Excellence, Pfizer

SPEAKERS INCLUDEAI/ML Advances and Impact on Sales and Marketing Director for The Centre on Global Brand Leadership, Columbia Business School

AI in Marketing in The Age of Humans with Machines CMO, Hux – Deloitte Digital

How Well Does AI Understand Culture? SVP Technology, VaynerMedia

SPEAKERS INCLUDEAI at Enterprise Scale – The Four Dimensions of Sustainable Success SVP, AI Enterprise Solutions, Wells Fargo

AI for Insurers Case Study: Modelling The Value of Risk Head of Modelling & Insights Americas (VP), Swiss RE

Proactive Compliance Risk Management & Investigations – Powered by AI Satish Lalchand, Deloitte Risk and Financial Advisory

SPEAKERS INCLUDEHow Target is Using AI to Modernize its Supply Chain Paritosh Desai, Chief Data and Analytics Officer, Target

Next-Gen Retail: Continuous Innovation at the Walmart Intelligent Retail Lab Jason Nichols, Director of AI, Intelligent Retail Lab, Walmart

How Shopify Leverages Data and ML to Power 1M+ Merchants Xinyi Zhao, Technical Product Lead, Shopify


AI TRAINING ACADEMY

INTRODUCTION TO MACHINE LEARNING

Designed for data science and ML beginners, this course will walk you through machine learning concepts with SciKit-Learn, a full-featured machine learning toolkit for Python.

With the package including hands-on practical guidance from an experienced trainer, a complementary online Python

programming course, and a data science and machine learning book, you will leave the course fully equipped to put your new

skills into practice.

INTRODUCTION TO NATURAL LANGUAGE PROCESSING

Join Dr Carlo Lipizzi, Professor at Stevens Institute of Technology, as he guides you through NLP tools while showing you their real-world applications, setting solid foundations for

your pathway into the field. Learn and understand popular NLP workflows with interactive examples, understand how to clean and handle unstructured text data, and complete NLP tasks – including text classification, sentiment analysis, text clustering,

summarization, topic models and recommendations.

INTRODUCTION TO DATA SCIENCE IN PYTHON

This beginner-friendly course will familiarize you with the core Python data science tools including Jupyter, Numpy, Pandas

Matplotlib, and Scipy – enabling you to start your journey into the world of data science. And if you’re looking to further focus your abilities in data science, this course can be complimented with Introduction to Machine Learning, which will continue in

the afternoon.

REGISTER NOW




DEEP-DIVE TRAINING & WORKSHOPS

This year we’re providing our delegates with two days packed-out with dedicated workshops and

training opportunities. Ranging from foundational training sessions from The AI Academy – our

specialist training arm – to detailed product and platform workshops from leading vendors from

across the market

INNOVATION SHOWCASE

The Innovation Showcase provides a platform to present and learn about some of the most exciting developments in the space. Includes a

carefully curated agenda of technology pioneers demonstrating their solutions.

DIGITAL DELEGATE REPORT

Our world leading research business – Tractica – will be providing all delegates with a research report overlapping with the themes, topics, and

organisations involved in this year’s show. Covering the key facts and figures about the show and

exclusively produced for New York 2019.

NEW FOR 2019

8 NEW TRACKS

Our tracks provide our audience with the opportunity dig even deeper into the

implementation opportunities and challenges for their industry, with stages covering Retail, Sales and Marketing, Finance, Healthcare & Pharma. In addition, we are introduced our brand new AI Academy Training Track, AI

Implementation Lab and AI Development Lab.

THE LOUNGE

An exclusive lounge on the show-floor for our VisionAires community, hosting a range of CxO fireside chats with special guest speakers, Chatham House Rules roundtables, and a more informal continuation of the topics and themes

presented on the Deliver Stage.

REGISTER NOW




BECOME A PARTNERCONTACT

ELLIOT WELSTEEDHEAD OF MEDIA & COMMUNICATIONS

[email protected]

UNRIVALED GLOBAL EXPOSURE THROUGH EXTENSIVE PRESS & MEDIA COVERAGE OF

The AI Summit

UNPRECEDENTED EXPOSURE!

AI SUMMIT INTERNATIONAL MEDIA PARTNER AS REPORTED IN

2019 HEADLINE MEDIA PARTNERS

Chief Mobile Architect, Kaiser Permanente

Director, Enterprise AI Strategy, Virgin Orbit

Head of Computer Vision, Pinterest

CIO,The Carlyle Group

Data Science Lead, Airbnb

Director, AI Strategy, Sprint

Head of LegalOperations, GoPro

Principal Computer Scientist, NASA

Senior Data Scientist, Tesla

Sr. Director Software Development, Alaska Airlines

SVP, Baxter Healthcare Corporation

SVP, AdvancedTechnolgy, Fox

VP of Engineering, Blackberry

VP, Data Science,Prudential

VP, Machine Learn-ing, CBS

Chief MedicalInformaiton Officer,

Dignity Health

CIO,Chevron

CTO,Ericsson

Director of Strategy, Shutterstock

Director, EmergingTechnology, Discovery

Head of Architecture, FedEx

Head of Innovation, Nestle

Principal Architect,Yahoo

Senior Baseball Analyst, San Francisco Giants

Sr. Director Global Finance, Levi Straus &

Company

SVP,PayPal

SVP,Monster Energy

Technical Director,Ford

VP, Audit,Las Vegas Sands

VP, IT,DaVita

Chief Architect,Juniper Networks

Chief Scientist,JD.com

CTO,Philips Healthcare

Director of IoT &Machine Learning, Toshiba

Director, Data Science, Sears HoldingsCorporation

Global Lead,AI and ML, AES

Head of Infastructure, Disney

MD Transformation, American Airlines

Principle Engineer, Nordstrom

Sr Director, Operations, CenturyLink

Sr. Software Engineering Manager, Apple

SVP,Michelin

SVP, Innovation, State Farm Insurance

VP, Applied R&D, First American Title

VP, Head of Self-Service Big Data Analytics,

Wells Fargo

Chief Architect,Visa

VP, Finance,Red Bull

Chief Algorithm Of-ficer, Nike

Chief of Staff, Cityand County ofSan Francisco

COO,Morgan Stanley

Director of Big Data, Western Union

Director,Core AI, eBay

Director, MachineLearning, Macys

VP, Analytics,Walmart

VP, Digital Innovation, Bayer

CCO,USAA

Chief of Staff,Capital One

COO,BNY Mellon

SVP, Digital Strategy,Bank of America

Director, BI Analytics, McKesson

Director, MachineLearning, Adobe

Head of Data Science, WeWork

Head of MachineLearning, Sony

Principal Data Scientist, Allstate

Director Data Science,Albertsons

Sr. Director, Growth Engineering, Lyft

SVP,BBVA Compass

SVP, Architecture,Activision

VP Technology Bank-ing- FinTech, Silicon

Valley Bank

VP, Digital, CBRESenior Strategist, Federal Reserve Bank of San

Francisco

Head of Data Science, LinkedIn

Head of SoftwareEngineering, Emirates

Group

Sr Director Silicon Valley R&D Tech Center,

Volvo

Principal Technology Architect, PG&E

Sr. Director, Innovation and Omni Experiences,

Sephora

SVP,Citibank

Principal Technology R&D, Charles Schwab

Sr Director, Innovation, Adidas

Sr. Manager Analytics, Fitbit

SVP,Mercedes-Benz

SVP, Enterprise Risk Intelligence,

Bank of the West

VP, Analytics,Fannie Mae

Head of transformation, Societe Generale

Director, QualityEngineering,

American Express

Director, Data Insights, AT&T

Chief Risk Officer,TIAA

Creative Director,Aon

Director of Engineering / Architect, San Francisco

Chronicle

Head of DigitalEngineering , Verizon

AI AssociateBank of China

Chief Product Officergo compare

CIOAmnesty International

AI DirectorAmerican Express

Chief ArchitectHomeserve

Chief Data OfficerSainsbury’s

CIOBT

CIO, HRUnilever

CIODeutsche Bank

CIOEmirates Airlines

CTOBank of America

Merril Lynch

CIOEurostar

CTODirectline Group

Digital Innovation ManagerRenault

Director, DigitalPfizer

Director Machine Learning

BAE Systems

Global CFOHSBC

Global CIOWalgreens Boots Alliance

Global Head of AIVW Group

Global Head of DigitalBNP Paribas

Global Innovation DirectorVodafone

Global IT Innovation DirectorRedBull

Group Chief Data OfficerSodexo

Group Chief Information and Technology Officer

RSA Group

Group CIODixons Carphone

Group CIORB

Head of Advanced Business Analytics

Allianz

Head of AIJD Sports

Head of AILloyds Banking Group

Head of Data Science & Solutions

Allied Ireland Bank

Head of Enterprise Architecture

Royal Mail Group

Head of ITBank of England

Head of Strategy, ScienceAIG

Head of Online and TechBBC

Head of TechnologyRoyal Bank of Scotland

Head of UK eCommerceProcter & Gamble

IT Director, EuropePepsico

Lead Data ScientistAviva

PartnerAndreessen Horowitz

Senior ManagereCommerce Europe

Adidas

VP AdvancedData Solutions

Barclays

VP Architecture and Engineering

Bank of America

VP InnovationL’Oreal

VP Data Analytics & Applications

Airbus

VP Data ScienceCarlson Wagonlit Travel

VPCiti

Managing Director Product Strategy and Innovation for Nasdaq Global

Corporate Solutions DivisionNasdaq

Global Head ofInnovation

Nike

IT DirectorBird & Bird

Chief Digital OfficerBMJ

VP R&DSony

Director of Business Intelligence andProject Services

Staples

VP Digital ProductsStarbucks

EMEA IT DirectorStarwood Hotels

and Resort

Digital Director- Marketing

Tesla

Head of IT UK& Ireland

GSK

Chief Data OfficerFinancial Times

Machine LeardningTwitter

Head of MachineLearningUBER

Enterprise ArchitectFreshfields

Director, IT Applications Development

UPS

CIOGovernment of Catalonia

Head of Technology Strategy & Architecture

John Lewis Partnership

Innovation Manager, Group Innovation

Nationwide

Head of Brand strategyNissan

Head of ITPrada Retail UK Ltd

Head of Personnel ResearchRoyal Navy

CIO UKSociete Generale

Chief Digital and Infor-mation Officer

Ministry of Justice

Head of Data SciencesTelegraph Media Group

CTOThe Economist

Group IT DirectorThomas Cook Group

General Manager - MRO Engineering

Delta

CTOTravelodge

DirectorSAP

Managing Director,Market Insight

Thomson Reuters

Head of TransformationUBS

Head of Advanced Technology and Business

InnovationVirgin Media

Head of Analytics,Tesco

Chief Global Data and Analytics Officer

Vodafone

CIOHanesbrands

CTO Watson EuropeIBM

Chief Security ArchitectVISA

Head of DigitalInnovationJCDecaux

Head Informatics LabMet Office

VP, BI & AnalyticsWalt Disney Studios

Emerging Technologies Rolls-Royce

Head of DataAdobe

VP, Data Science& Analytics

Airbnb

Head of Data ScienceGeneral Electric

2018 ATTENDEES

The show’s been fantastic, really impressed with the enthusiasm of all the attendees… we’ve had a lot of traffic at the booth here, which is very, very good from our standpoint – a lot of great conversations with people. A very productive couple of days here.

Brian PawlusSenior Director | Oracle Adaptive Intelligent Apps

It’s exciting to meet a lot of our customers who are here. Building those relationships further – IBM’s here, and we’ve just integrated with their Watson hub. So meeting a lot of great companies, and great people.

John OringerCEO | Shutterstock

The Ai Summit to me is a great opportunity to learn really quickly from lots of smart people…and being able to walk around here and see all the new, cool things people are working on…it’s being part of that com-munity, understanding what’s coming, and being able to see how some of these technologies apply to our world, our brand, and for our guests. There’s no better place to be.

Sherif Mityas, Chief Experience Officer | TGI Fridays

Many thanks for a brilliant conference and networking platform, it was a joy to attend and to speak.

Tania RebuzziDirector, Head Front Support,Credit Suisse

I must say AI Summit was one of the best conferences I have ever attended. The talks and the speakers were all amazing. I had a chance to speak with BA, Oracle, AgorAI, Dyson, Alibaba, and I have been in touch for a soft collaboration. It’s great.

Project Lead | Swansea University

Huge thank you to the entire AI Business team for hosting a great event! The booth traffic was par-ticularly busy this year due to our location being near the different theatres. We’re excited to follow up with the attendees and see what opportunities will come about!

Angelo VivoSales Operations Analyst | Lionbridge Technologies Inc

I think it’s amazing to see the crowd and the amount of interest; lots of vendors and start-ups here demonstrating powerful applications and you’re just starting to see the tip of the iceberg – and it’s actually really interesting to see that.

Joseph Sirosh,CTO of AI, Microsoft

I have had little involvement with AI and machine learning, however the conference has given me some wonderful insight into different tools and approaches we could take to traditional problems at work. I feel great for having attended.

Senior Business Analyst | University of Nottingham

Many thanks for the opportunity to attend. It was an exciting event full of information and interaction fuelling our next steps in AI discovery and strategy development.

Rustam SanaevGlobal Business Analyst, IT - Operations British American Tobacco

RAVE REVIEWS 2019

Join the most visited news portal and online community on Artificial Intelligence for the business world, including 50k+ Twitter followers on @Business_AI

Read exclusive interviews and special features with the most influential AI and business thinkers.

Subscribe to the dedicated biweekly newsletter and stay ahead of the curve when it comes to understanding the latest technological developments andhow you can put them to use.

UNRIVALLED CONTENT

Reach out to our members and readership; those eager to learn and understand the most suitable AI technology for their own business.

Launch high-level, targeted advertising to the business leaders who decide upon their organisation’s uptake of AI.

Host a sponsored webinar or video conference through our AIB TV platform and engage deeper with a global audience.

TARGETED PROMOTION

Be part of the fastest-growing global community of business professionals both developing and implementing AI in the world of work.

Connect with the stakeholders who can help you take your organisation forwardAccess to online meet-ups and high-level networking events all themed around knowledge and best practice sharing.

MEANINGFUL ENGAGEMENT

WH

AT

YO

U C

AN

EX

PEC

T

Stay integrated with the AI revolution through the leading AI online news portal.

Featuring exclusive content from the foremost innovators in AI, including Microsoft, Facebook, Amazon, Google, Accenture and IBM, AIBusiness.com brings forward the latest news deciphering the impact of AI in business.

The portal features dedicated sections on the major industries where uptake of AI is signifi-cant; finance, professional services, healthcare and retail have been particularly popular with our business-focused audience.

Contact us to explore your digitalmedia opportunity:

Yash PuwarHead of Digital [email protected]

WWW.AIBUSINESS.COM

GET IN TOUCH

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