Day 1 - 19 June 2019

09:40AM

Justin van der Lande

Principal Analyst AI & Analytics

Analysys Mason

Associated Talks:

09:40AM - Day 1

View Data Analytics for AI and IoT: Chair’s welcome and opening remarks

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Data Analytics for AI and IoT: Chair’s welcome and opening remarks

. Justin van der Lande, Principal Analyst AI & Analytics, Analysys Mason
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10:00AM

Norman Stürtz

Divisional CDO

Credit Suisse (Schweiz)

Associated Talks:

10:00AM - Day 1

View Bringing Offense and Defense together – Shoppable Data For Data Based Services in Analytics & ML

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Bringing Offense and Defense together – Shoppable Data For Data Based Services in Analytics & ML

  • Problem: 80% prep time for data analytics
  • Root cause: Quality, sourcing, relevance of data
  • Path forward: Bring DG to good data definitions, provide info architecture and drive modelling
  • Use case:  Framework to make data shoppable
. Norman Stürtz, Divisional CDO , Credit Suisse (Schweiz)
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10:30AM

Dr. Mohamed Anas

Engineering Manager

MathWorks

Associated Talks:

10:30AM - Day 1

View Keynote: Analytics and AI Strategies for IoT, Catalyzed by Simulation

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Keynote: Analytics and AI Strategies for IoT, Catalyzed by Simulation

The buzz about Internet of Things (IoT), Analytics, and Artificial Intelligence (AI) is deafening. Predictions abound that these will power a massive shift in the roles that computers play in our personal and professional lives: enabling automated driving functionality, predicting maintenance of industrial equipment, delivering intelligent home health care systems and robots, and more.  But, to get there, teams must combine specialized knowledge, domain expertise, and business objectives while navigating through numerous choices – security, communication, data acquisition and preparation, algorithms, processors, architectural allocation, and more. Simulation can help them to keep their eye on the application, enable reuse while exploring trade-offs, and create the game-changing value for their organization. In this keynote, Mohamed Anas looks at the exciting opportunities and practical challenges of building AI into our systems and services, from prototyping to production while targeting edge nodes to cloud, using simulation as an enabler.

. Dr. Mohamed Anas, Engineering Manager , MathWorks
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11:00AM

Networking Break

11:30AM

Jasper Zondervan

Consultant Manufacturing Analytics

Wonderware

Associated Talks:

11:30AM - Day 1

View How to start with Big Data Analytics in Manufacturing?

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How to start with Big Data Analytics in Manufacturing?

Due to the exponential growth of process data in production facilities, manufacturers are facing data challenges they didn’t face a few years ago. Nowadays a factory (shop) floor produces even more data than it produces products. Batch data, machine data, operational data, energy data and sensor data: all examples of valuable data that is captured in a factory. In this presentation you will learn how industrial data differs from traditional marketing & sales data, what the major challenges are and how Wonderware Benelux have helped several key players in the industry to take the first steps in analysing big data from the factory floor.

. Jasper Zondervan, Consultant Manufacturing Analytics, Wonderware
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12:00PM

Justin van der Lande

Principal Analyst AI & Analytics

Analysys Mason

Associated Talks:

09:40AM - Day 1

View Data Analytics for AI and IoT: Chair’s welcome and opening remarks

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Michael Brecht

Head of Nokia WING Business Development

Nokia

Associated Talks:

12:00PM - Day 1

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

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Senior Representative, NetApp

Associated Talks:

12:00PM - Day 1

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

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Jelle Van Jaarsveld

Client Growth Director, EMEA

Meltwater

Associated Talks:

12:00PM - Day 1

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

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Ruud Schmeink

CEO

MarketRedesign

Associated Talks:

12:00PM - Day 1

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

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Dr. Maher Chebbo

Senior Executive SVP, Chief Business Innovation Officer

GE Power

Associated Talks:

02:00PM - Day 1

View Reshaping the Energy Market with Disruptive Digital IOT/AI Energy Efficiency Solutions

12:00PM - Day 1

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

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Panel: IoT and AI data analytics for intelligent decision making

  • Identifying target-rich, high-value data that can be used to generate business intelligence
  • Using cloud analytics platforms to derive value from IoT data
  • Discussing the barriers to widespread IoT/ AI /Big Data value delivery and how these might be overcome.
  • Real time data analytics in practice – examples of how IoT / AI data is creating business efficiency and revolutionising working practices
Moderator: . Justin van der Lande, Principal Analyst AI & Analytics, Analysys Mason
. Michael Brecht, Head of Nokia WING Business Development , Nokia
. Senior Representative, NetApp, ,
. Jelle Van Jaarsveld, Client Growth Director, EMEA , Meltwater
. Ruud Schmeink, CEO , MarketRedesign
. Dr. Maher Chebbo, Senior Executive SVP, Chief Business Innovation Officer, GE Power
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12:40PM

Aslan Mehrabi

Data Scientist and Blockchain Developer

MXC

Associated Talks:

12:40PM - Day 1

View Smart Machine Bidding: An incentive solution for automated data transmission settlement in IoT networks

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Smart Machine Bidding: An incentive solution for automated data transmission settlement in IoT networks

LPWAN (Low Power Wide Area Network) technology can be used together with blockchains as an infrastructure for IoT. This combination automates machine to machine transactions and provides a device data economy (e.g. in MXProtocol). Smart Machine Bidding (SMB), provides an incentive solution to automate the payments related to the flow of IoT devices data. By SMB, each gateway can offer different bids on its data transmission cost. The LPWAN devices can smartly choose a gateway to transmit their data with. Data driven algorithms are also used in the SMB to automate and optimize the procedure.
In general, the SMB helps to provide a cost effective shared LPWAN which both gateway owners and device owners can profit from. In this talk, SMB procedure, its applications, and corresponding data driven algorithms will  be discussed.

. Aslan Mehrabi, Data Scientist and Blockchain Developer, MXC
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01:00PM

Networking Break

02:00PM

Michele Ridi

CMO

Radicalbit

Associated Talks:

02:00PM - Day 1

View Event Stream Processing: the dawn of a new era for A.I.

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Event Stream Processing: the dawn of a new era for A.I.

In the data management area, Event Stream Processing based architectures are becoming popular: they are efficient, performant, mature and, most importantly, the natural choice for a growing set of business scenarios (from any IOT based use cases to smart supply chain, from smart meters and energy consumption measuring to manufacturing lines monitoring and maintenance). The analyst community predicts that in the next few years to come, streaming oriented systems will become a standard for any company willing to develop data applications and successfully use A.I.

Technologies like Online Learning and Reinforcement Learning are topics very well connected to continuous computation of data streams. On the operational level though, there’s the need for a tool aimed to serve A.I. models in order to produce predictive and prescriptive analytics within the same workflow that starts with Data Integration. RNA (Radicalbit Natural Analytics) is such a tool, designed to facilitate operations around data application development over streaming oriented architectures.

 

. Michele Ridi, CMO , Radicalbit
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02:10PM

Emilio Billi

CTO

A3Cube Inc

Associated Talks:

02:10PM - Day 1

View Why are algorithms that were basically invented in the 1950s through the 1980s only now causing such a transformation of business and society

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Why are algorithms that were basically invented in the 1950s through the 1980s only now causing such a transformation of business and society

Many of us know that ML algorithms were invented back in the ’50s to ’80s so we must ask ourselves: “Why are algorithms that were invented in the 1950s through the 1980s only now causing such a transformation of business and society?”

Artificial Intelligence and even more Machine Learning capabilities depend on how much computational power and how much data you can have at your disposition. Higher computational power applied to the availability of data means having the tools to develop and test also a new algorithm. Without the right computational power, there will be no progress in AI algorithms. Who said that the problem with ML and AI is just the needs of new algorithms without taking into consideration the holistic vision he does not know what is talking about.

. Emilio Billi, CTO, A3Cube Inc
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02:20PM

Dennis Wilbrink

Solutions Engineer

Hitachi Vantara

Associated Talks:

02:20PM - Day 1

View Steel manufacturing; building a data architecture for AI

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Steel manufacturing; building a data architecture for AI

The use case of the steel manufacturing plant outlines the data architecture build  to oversee the plant’s performance and production. It will zoom in on the overwhelming range of data sources and the struggles around unifying all of them in a timely manner. I’ll talk about the plants aspirations on data science / AI and frustrations with the old landscape, concluding with all the possibilities we opened up for the plant in a challenging timeframe.

 

. Dennis Wilbrink, Solutions Engineer , Hitachi Vantara
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02:50PM

Justin van der Lande

Principal Analyst AI & Analytics

Analysys Mason

Associated Talks:

09:40AM - Day 1

View Data Analytics for AI and IoT: Chair’s welcome and opening remarks

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Elena Salova

Data Scientist

Hitachi Vantara

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Daniel Lumkeman

Solution Architect

Qlik

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Mattijs Suurland

Business developer Advanced Analytics

Nederlandse Spoorwegen (Dutch Railways)

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Emilio Billi

CTO

A3Cube Inc

Associated Talks:

02:10PM - Day 1

View Why are algorithms that were basically invented in the 1950s through the 1980s only now causing such a transformation of business and society

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Panel: Big Data – Creating Intelligent Data Models

  • The increased need for big data analytics to drive AI & Machine learning
  • How to successfully unlock unstructured data & transform into learnable features
  • The advancement of self-service big data tools & its benefit for your organisation
Moderator: . Justin van der Lande, Principal Analyst AI & Analytics, Analysys Mason
. Elena Salova, Data Scientist , Hitachi Vantara
. Daniel Lumkeman, Solution Architect, Qlik
. Mattijs Suurland, Business developer Advanced Analytics, Nederlandse Spoorwegen (Dutch Railways)
. Emilio Billi, CTO, A3Cube Inc
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03:30PM

Kia Eisinga

Senior Data Scientist

TomTom

Associated Talks:

03:30PM - Day 1

View Solo: TomTom

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Solo: TomTom

This talk will be given by Kia Eisinga, Senior Data Scientist at TomTom

. Kia Eisinga, Senior Data Scientist, TomTom
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05:00PM

Session Close

Networking Party – 6pm – The Beach Bar, Strandzuid @ RAI

An evening of networking on Wednesday 19 June from 6pm. Access for Ultimate, Gold & Expo Plus holders in addition to speakers, sponsors, press and exhibitors. Taking place at The Beach Bar, this lakeside spot is surrounded by trees and located just a few minutes walk from the expo venue.  Join us for drinks and networking opportunities.