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Day 1 - 20 September 2022

09:30AM

(CET)

Haider Alleg

General Partner

Allegory Capital

Associated Talks:

09:30AM - Day 1

View Chairperson’s Welcome: Enterprise AI

09:45AM - Day 1

View Enterprise AI: Chairpersons Welcome

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Chairperson’s Welcome: Enterprise AI

Chairpersons welcome and opening remarks. 

. Haider Alleg, General Partner, Allegory Capital

09:45AM

(CET)

Julio Peironcely

Global Director Insights & Analytics

Danone

Associated Talks:

09:45AM - Day 1

View Presentation: Enterprise Adoption of AI – Where to Start? 

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Presentation: Enterprise Adoption of AI – Where to Start? 

  • How to move your project from “experimentation” to “live”.
  • Turning AI into ROI – understanding why you need AI.
  • Top tips for moving your pilot to the next stage.
. Julio Peironcely, Global Director Insights & Analytics, Danone

10:15AM

(CET)

Felipe Chies

Sr. Business Development Manager - AI/ML

AWS - Amazon Web Services

Associated Talks:

10:15AM - Day 1

View Keynote Presentation: Accelerate innovation with no-code and low-code Machine Learning

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Keynote Presentation: Accelerate innovation with no-code and low-code Machine Learning

Business users are increasingly expected to apply machine learning to improve prediction quality and increase business outcomes. However, developing data science and data engineering skills can be time-consuming.

This session gives an overview of AWS machine learning capabilities for builders of all levels of expertise. You will be introduced to:

  • AI Services, which allow developers to easily add intelligence to any application, helping organizations do things like personalize the customer experience, forecast business metrics, translate conversations, extract meaning from documents and more.
  • Amazon SageMaker Canvas, which will enable you to easily build high-quality ML models using Amazon SageMaker and AutoML capabilities without having to write any code.
. Felipe Chies, Sr. Business Development Manager - AI/ML, AWS - Amazon Web Services

10:45AM

(CET)

Stephan van Beek

Principle Application Engineer

MathWorks

Associated Talks:

10:45AM - Day 1

View VIRTUAL PRESENTATION: Enabling AI in Industry, Consumer Products and Healthcare

10:45AM - Day 1

View Keynote Presentation: Enabling AI in Industry, Consumer Products and Healthcare

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Paul Lambrechts

Principal Application Engineer

MathWorks

Associated Talks:

10:45AM - Day 1

View VIRTUAL PRESENTATION: Enabling AI in Industry, Consumer Products and Healthcare

10:45AM - Day 1

View Keynote Presentation: Enabling AI in Industry, Consumer Products and Healthcare

10:15AM - Day 1

View Presentation: Delivering on the analytics promise – Shaping your department for success

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Keynote Presentation: Enabling AI in Industry, Consumer Products and Healthcare

  • You do not need to be a programming expert to develop and deploy AI enabled algorithms with MATLAB & Simulink. 
  • Developing and deploying AI enabled algorithms with Model-Based Design facilitates regulatory compliance for Medical Devices and Digital Health. 
  • MathWorks has helped to operationalize AI on Embedded, Edge, and Cloud, leading to new applications in Automotive, Aerospace, Industrial Machinery, and Healthcare. 
. Stephan van Beek, Principle Application Engineer, MathWorks
. Paul Lambrechts, Principal Application Engineer, MathWorks

11:15AM

(CET)

Networking Break

11:30AM

(CET)

Frans van Bruggen

Policy officer Artificial Intelligence & FinTech

De Nederlandsche Bank (DNB)

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Aoibhinn Reddington

Artificial Intelligence Consultant

Deloitte

Associated Talks:

11:50AM - Day 2

View Panel: AI Driven Digital Transformation

11:30AM - Day 1

View Panel: Keeping it Ethical in AI

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Sabiha Majumder

Model Validator - Innovation & Projects

ABN AMRO Bank N.V

Associated Talks:

11:30AM - Day 1

View Panel: Keeping it Ethical in AI

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Laura De Boel

Partner

Wilson Sonsini Goodrich & Rosati

Associated Talks:

11:30AM - Day 1

View Panel: Keeping it Ethical in AI

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Panel: Keeping it Ethical in AI

  • Human-in-the-loop review processes – how can we decide where the buck stops in decision making?
  • Reconfiguring data input to tackle non-ethical AI bias.
  • The legal side of AI – delving into the new European AI Act.
  • What needs to be considered next from a legal and regulatory perspective to help keep the growth of AI ethical?
Moderator: . Frans van Bruggen, Policy officer Artificial Intelligence & FinTech, De Nederlandsche Bank (DNB)
. Aoibhinn Reddington, Artificial Intelligence Consultant, Deloitte
. Sabiha Majumder, Model Validator - Innovation & Projects, ABN AMRO Bank N.V
. Laura De Boel, Partner, Wilson Sonsini Goodrich & Rosati

12:10PM

(CET)

Yury Brunt

Team Leader Manufacturing Analytics

AVEVA Select Benelux

Associated Talks:

12:10PM - Day 1

View Keynote Presentation: Enterprise Energy Management for Manufacturing

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Keynote Presentation: Enterprise Energy Management for Manufacturing

  • To reduce energy consumption manufacturing companies, must accurately know where they are consuming energy.
  • With standard out-of-the-box reports, analytics, and dashboards it is possible to be operational within 5 days.
. Yury Brunt, Team Leader Manufacturing Analytics, AVEVA Select Benelux

12:40PM

(CET)

Professor Joe Peppard

Principal Research Scientist

MIT Sloan School of Management

Associated Talks:

12:40PM - Day 1

View Keynote Presentation: It’s Time to Get Rid of the “IT Department”

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Keynote Presentation: It’s Time to Get Rid of the “IT Department”

IT departments made sense back when technology was separate from the business. But today, having IT as a standalone department with its own management hierarchy and budget slows innovation and business modernization initiatives. Of course, the problem isn’t with the people or leaders. It’s the outdated assumptions from which IT departments were created.

Fortunately, there is a better way. Hear from Professor Joe Peppard, former Principal Research Scientist at MIT and Wall Street Journal contributor. He’ll share insights from pioneers who are ditching their IT departments and making IT part of every business unit.  This shift helps to eliminate the massive schism between the business and IT and offers a model for others to do the same. The way forward is clear: Organizations need IT. But they almost certainly don’t need an IT department.

. Professor Joe Peppard, Principal Research Scientist, MIT Sloan School of Management

01:10PM

(CET)

Irakli Beridze

Head of the Centre for Artificial Intelligence and Robotics

UNICRI, United Nations​

Associated Talks:

01:10PM - Day 1

View Presentation: State of Affairs of AI and the responsible use of AI in Law Enforcement

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Presentation: State of Affairs of AI and the responsible use of AI in Law Enforcement

To follow soon…

. Irakli Beridze, Head of the Centre for Artificial Intelligence and Robotics, UNICRI, United Nations​

01:40PM

Lunch & Networking Break

02:20PM

(CET)

Matt Roberts

Research & Insight Director

Formula E

Associated Talks:

02:20PM - Day 1

View Presentation: Formula E – A Data Insights Journey

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Presentation: Formula E – A Data Insights Journey

To follow soon …

. Matt Roberts, Research & Insight Director, Formula E

02:50PM

(CET)

Haider Alleg

General Partner

Allegory Capital

Associated Talks:

09:30AM - Day 1

View Chairperson’s Welcome: Enterprise AI

09:45AM - Day 1

View Enterprise AI: Chairpersons Welcome

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Vivek Kariyavula

Director, Global Head of Supply Chain IT Platform Architecture

Philips

Associated Talks:

02:50PM - Day 1

View Fireside Chat: Streamlining and Simplifying with Intelligent Automation

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Harald Kirsch

Lead Automation and Industrial IT

ALD Vacuum Technologies GmbH

Associated Talks:

02:50PM - Day 1

View Fireside Chat: Streamlining and Simplifying with Intelligent Automation

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Fireside Chat: Streamlining and Simplifying with Intelligent Automation

  • The new capabilities of RPA and AI combined for complex business tasks.  
  • How do you ensure information exchange is consistently accurate?  
  • What IA looks like across industries.  
  • As many view IA as the future of work, how quickly will this come into play on a mass scale?  
Moderator: . Haider Alleg, General Partner, Allegory Capital
. Vivek Kariyavula, Director, Global Head of Supply Chain IT Platform Architecture, Philips
. Harald Kirsch, Lead Automation and Industrial IT, ALD Vacuum Technologies GmbH

03:20PM

(CET)

Fabio Ardossi

Partner UK & BeNeLux

Reply

Associated Talks:

03:20PM - Day 1

View Presentation: Reply Data Driven Omnichannel Framework

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Presentation: Reply Data Driven Omnichannel Framework

Given the current changes in purchasing habits, it is important for individual stores and large chains to create new sales experiences across both online and in-store channels. Creating a 360° brand experience that goes beyond just the physical store and now is available to all customers, physical and online. These results can be achieved thanks to advancements such as: new ways of collecting and managing data; the move from micro to nano service paradigm and to deep changes in skills and organisations.

. Fabio Ardossi, Partner UK & BeNeLux, Reply

03:35PM

Networking Break

03:50PM

(CET)

Shay Weiss

Head of Novartis DevOps

Novartis

Associated Talks:

03:50PM - Day 1

View Presentation: A Competitive Advantage with AI and ML in Healthcare

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Presentation: A Competitive Advantage with AI and ML in Healthcare

The ability of artificial intelligence to gather and analyse information from massive datasets and easily finds correlations that are invisible to the human eye places AI as one of the most disruptive technologies in healthcare in the 21st century. In this session, we will focus on harnessing the power of AI in the healthcare industry to gain a strong competitive advantage by using real-time intelligence, holistic technology and an ecosystem approach.

. Shay Weiss, Head of Novartis DevOps, Novartis

04:20PM

(CET)

Valerio Piccioni

AI Engineer

LARUS Business Automation

Associated Talks:

04:20PM - Day 1

View VIRTUAL PRESENTATION: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

04:20PM - Day 1

View Presentation: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

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Alberto De Lazzari

Chief Scientist

LARUS Business Automation

Associated Talks:

04:20PM - Day 1

View VIRTUAL PRESENTATION: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

04:20PM - Day 1

View Presentation: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

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Presentation: Next-gen Recommendation Systems with Graph-AI – A Retail Use-case

Graph AI can achieve the state of the art on many machine learning tasks regarding relational data. One of them is recommendation which can be found in a lot of services such as content streaming, shopping or social media. We developed, together with Fujitsu Research, a performance-based Graph AI solution that takes advantage from the graph to do better recommendations and we tested it against a real retail fashion dataset.

. Valerio Piccioni, AI Engineer, LARUS Business Automation
. Alberto De Lazzari, Chief Scientist, LARUS Business Automation

04:40PM

(CET)

Tim Ottens

Senior Data Scientist

PostNL

Associated Talks:

04:40PM - Day 1

View Presentation: The World’s First AI-Generated Postage Stamps

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Presentation: The World’s First AI-Generated Postage Stamps

  • How AI-generated postage stamps became a reality. 
  • The neural networks that created unique stamps. 
  • What will the future bring?  
. Tim Ottens, Senior Data Scientist, PostNL

05:10PM

(CET)

End of Day 1

View Day 2 Content Here:

Applied Data & AnalyticsData Optimisation | Big Data | Intelligent Decision Making | Data Storage | Industry Use Cases

Transformational AIPersonalization | Edge AI | Future Progressions | Innovations | Industry Use-Cases