Day 1

27 June 2018

AI in the Enterprise

Gartner predict that by 2021, 40% of new enterprise applications will include AI Technologies. AI and Machine Learning promise to solve a plethora of problems faced by enterprises today, from better decision making to increased efficiencies and cost savings, there seems to be an algorithm to solve it all. This session cuts through the hype to look at real-life case studies to see how AI is being applied by leading organisations.

09:45AM

AI in the Enterprise: Chair’s Welcome

Alexander Denev

Executive Director – Head of Quantitative Research and Advanced Analytics

IHS Markit

Associated Talks:

09:45AM - Day 1

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. Alexander Denev, Executive Director – Head of Quantitative Research and Advanced Analytics, IHS Markit

10:00AM

Keynote: Deep Learning Bytes

Jan van Gemert

Assistant Professor

TU Delft University of Technology

Associated Talks:

10:00AM - Day 1

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  • Examples of deep learning success
  • What is Deep learning (DL)?
  • DL as a new way of programming
  • DL is a not a usual business process
  • Importance of data in DL
  • State-of-the art in DL research
  • Role of the university
. Jan van Gemert, Assistant Professor, TU Delft University of Technology

10:30AM

Keynote Panel: Building an AI Strategy for Enterprise

Alexander Denev

Executive Director – Head of Quantitative Research and Advanced Analytics

IHS Markit

Associated Talks:

09:45AM - Day 1

View AI in the Enterprise: Chair’s Welcome

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Pierluigi Casale

Group Data Scientist

TomTom

Associated Talks:

12:30PM - Day 1

View Data & AI in TomTom: How we are transforming mobility

10:30AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Alejandra Leon

Global Segment Architect, Communications and Brand

Shell

Associated Talks:

10:30AM - Day 1

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Dr. Utku Pamuksuz

Sr. Data Scientist, Co-Founder, and Clinical Professor of Data Analytics

Grainger, Inference Analytics and University of Illinois Urbana-Champaign.

Associated Talks:

03:30PM - Day 1

View The Curious Case of Deep Learning: Unlocking the insights from theory to practice

10:30AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Alex Sierkov

Director Product, Search and Machine Learning

HomeToGo  

Associated Talks:

10:30AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Daniel Gilbert

Director of Data

News UK

Associated Talks:

03:00PM - Day 1

View Data Products in the Newsroom

10:30AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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  • How are large companies deploying AI and machine learning?
  • How will AI redefine management strategies & make your business smarter
  • The latest updates and use cases in enterprise workflows
  • Selection & appointment of your tech platform
  • Measuring ROI and scaling AI projects
Moderator: . Alexander Denev, Executive Director – Head of Quantitative Research and Advanced Analytics, IHS Markit
. Pierluigi Casale, Group Data Scientist, TomTom
. Alejandra Leon, Global Segment Architect, Communications and Brand, Shell
. Dr. Utku Pamuksuz, Sr. Data Scientist, Co-Founder, and Clinical Professor of Data Analytics, Grainger, Inference Analytics and University of Illinois Urbana-Champaign.
. Alex Sierkov, Director Product, Search and Machine Learning, HomeToGo  
. Daniel Gilbert, Director of Data, News UK

11:15AM

Networking Break

11:45AM

How to build a team and get business value out of AI

Peter Jackson

Chief Data Officer

Southern Water

Associated Talks:

10:10AM - Day 1

View Panel: IoT and AI data analytics for intelligent decision making

11:45AM - Day 1

View How to build a team and get business value out of AI

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From real experience as the CDO at Southern Water and previously Head of Data at The Pensions Regulator Peter will explore the essential elements in building the right team to deliver business value from AI.

. Peter Jackson, Chief Data Officer, Southern Water

12:15PM

Artificial Intelligence and Machine Learning in Financial Services

Jo Hill

Director - Market Intelligence, Data and Analysis

Financial Conduct Authority

Associated Talks:

12:15PM - Day 1

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  • Impact of AI and machine learning in the financial services sector
  • Ethics, governance, oversight and control for this tech.

 

 

. Jo Hill, Director - Market Intelligence, Data and Analysis, Financial Conduct Authority

12:45PM

Panel : The Cognitive Enterprise

Keri Smith

Director and Head of Automation Practice EMEA

ISG

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Martin Ruane

Programme Director

Engie

Associated Talks:

02:30PM - Day 1

View Top 5 Critical Success Factors for RPA

12:45PM - Day 1

View Panel : The Cognitive Enterprise

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Sreenath Jalla

SAP, Finance and Supply Chain Transformation

Maersk Line

Associated Talks:

12:45PM - Day 1

View Panel : The Cognitive Enterprise

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Przemysław Lewicki

Director Retail Credits Service Center

ING

Associated Talks:

12:45PM - Day 1

View Panel : The Cognitive Enterprise

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  • Is your business ready to be transformed by cognitive automation (CA) and robotic process automation (RPA)?
  • Which processes are most suitable for CA / RPA?
  • What business benefits are being delivered? What are the challenges?
  • Timescales for adoption, investment, scaling automation projects
  • Examples and best practices from Insurance, banking, energy and shipping
Moderator: . Keri Smith, Director and Head of Automation Practice EMEA, ISG
. Martin Ruane, Programme Director, Engie
. Sreenath Jalla, SAP, Finance and Supply Chain Transformation, Maersk Line
. Przemysław Lewicki, Director Retail Credits Service Center, ING

01:30PM

Networking Lunch

02:30PM

Top 5 Critical Success Factors for RPA

Martin Ruane

Programme Director

Engie

Associated Talks:

02:30PM - Day 1

View Top 5 Critical Success Factors for RPA

12:45PM - Day 1

View Panel : The Cognitive Enterprise

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  • ENGIE context
  • Maturity Model
  • Case Study
  • Top 5 CSFs
  • Evolution to AI
. Martin Ruane, Programme Director, Engie

03:00PM

Data Products in the Newsroom

Daniel Gilbert

Director of Data

News UK

Associated Talks:

03:00PM - Day 1

View Data Products in the Newsroom

10:30AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Today’s newspaper publishers face challenges that would never even have occurred to their predecessors. In today’s world of online publishing, editors must constantly monitor the traffic on their newspaper sites and make quick decisions about the content of these publications.

 Growing awareness of machine learning means that there is an increasing curiosity within newsrooms about what it can offer, and advances in technology mean there is an increasing ability for data and technology teams to create novel solutions to the challenges facing journalists and editors. However, despite an increasing abundance of available tools, and data about audiences and content, building data products that can genuinely improve the workflows in a newsroom is challenging.

 The Data Technology team in News UK develops data platforms, machine learning systems and products.  We work within our newsrooms to empower journalists and editors with access to data products that are carefully tuned to their needs. Dan will be discussing where we are on the journey, from the algorithms being developed to help aide decision making through the lifecycle of an article, to the modern APIs and front end frameworks being developed to provide access to the results of these algorithms.

. Daniel Gilbert, Director of Data, News UK

03:30PM

The Curious Case of Deep Learning: Unlocking the insights from theory to practice

Dr. Utku Pamuksuz

Sr. Data Scientist, Co-Founder, and Clinical Professor of Data Analytics

Grainger, Inference Analytics and University of Illinois Urbana-Champaign.

Associated Talks:

03:30PM - Day 1

View The Curious Case of Deep Learning: Unlocking the insights from theory to practice

10:30AM - Day 1

View Keynote Panel: Building an AI Strategy for Enterprise

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Necessity of wide spectrum of skills to deploy the complete deep learning solutions for four different business problems ( finance, marketing, insurance and Strategy )

. Dr. Utku Pamuksuz, Sr. Data Scientist, Co-Founder, and Clinical Professor of Data Analytics, Grainger, Inference Analytics and University of Illinois Urbana-Champaign.

04:00PM

Networking Break

04:30PM

Ebay Case study: Machine Learning for Computational Advertising

Or Levi

Senior Data Scientist

Ebay

Associated Talks:

04:30PM - Day 1

View Ebay Case study: Machine Learning for Computational Advertising

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  • Implementing Machine Learning for ad ranking at one of the largest online marketplaces
  • What are the common Machine Learning approaches to this challenge and how to choose the one that fits you the most?
  • How can you balance the objectives of multiple players: the marketplace, buyers and sellers
. Or Levi, Senior Data Scientist, Ebay

05:00PM

How we are using blockchain to solve problems with AI.

Mark Stephen Meadows

Trustee & Co-Founder

Seed Vault Ltd

Associated Talks:

05:00PM - Day 1

View How we are using blockchain to solve problems with AI.

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AI presents some core problems. These include the impact of lost jobs, loss of control, imbalance of power, loss of privacy, and a loss of self-governance. We look at methods that are under way to open source and democratise AI.  Public data curation, conversational AI characters, and the front-end of AI systems are just the start of what we have begun.

. Mark Stephen Meadows, Trustee & Co-Founder, Seed Vault Ltd

05:20PM

Session Close