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

Edge Processing for Data Analytics and Training AI Algorithms

  • How the huge influx of data will require fit-for-purpose architecture. What is the distance from the edge to your device and how to consider this during the creation of your IOT / AI architecture?
  • Discussing how IoT / AI architectures need to be put in place to ensure increased compatibility across domains.
  • Using cloud analytics platforms to derive value from IoT / AI data vs physical gateways -pros and cons.
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10:30AM

Senior Representative, Mathworks

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Associated Talks:

10:30AM - Day 1

View Keynote: Information is Everything

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Keynote: Information is Everything

Data is the new oil is a familiar paradigm in 2018, but until we learn to process and derive actionable insights from this data how valuable is it?  This talk will cover a real life case study where a business has successfully taken data generated by the IoT and converted into into real business actions.  Hear about their journey, and their recommendations for uncovering new economic structures made available by access to intelligent data.

. Senior Representative, 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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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:

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
. Ruud Schmeink, CEO, MarketRedesign
. Dr. Maher Chebbo, Senior Executive SVP, Chief Business Innovation Officer, GE Power
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12:40PM

Case study: MXC IoT solutions

To follow soon…

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01:00PM

Networking Lunch

02:10PM

Emilio Billi

CTO

A3Cube Inc

Associated Talks:

02:10PM - Day 1

View Case Study: A3 Cube

10:20AM - Day 2

View Panel: Creating a data-driven culture

11:30AM - Day 2

View Case Study: A3Cube Inc

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Case Study: A3 Cube

To follow soon…

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

Senior Representative, BMC

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Associated Talks:

09:50AM - Day 2

View Keynote: The future of AI for customer experience

02:20PM - Day 1

View Afternoon Keynote: AI, Big Data and Autonomous vehicles

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Afternoon Keynote: AI, Big Data and Autonomous vehicles

. Senior Representative, BMC, ., .
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02:50PM

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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Leila Rajabibonab

Senior Data Scientist

Air New Zealand

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 Case Study: A3 Cube

10:20AM - Day 2

View Panel: Creating a data-driven culture

11:30AM - Day 2

View Case Study: A3Cube Inc

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

. Mattijs Suurland, Business developer Advanced Analytics, Nederlandse Spoorwegen (Dutch Railways)
. Leila Rajabibonab, Senior Data Scientist , Air New Zealand
. 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

To follow soon…

. Kia Eisinga, Senior Data Scientist, TomTom
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04:00PM

Alejandro Saucedo

Chief Scientist

Institute for Ethical AI & Machine Learning

Associated Talks:

04:00PM - Day 1

View Industry-ready data & machine learning pipelines

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Industry-ready data & machine learning pipelines

This talk will provide a practical deep dive on how to build industry-ready machine learning and data pipelines in Python. I will cover a hands-on case study that will build from the basics of Airflow, and show how it is possible to build scalable and distributed machine learning data pipelines using a distributed architecture with a producer- consumer backend using Celery. I will provide insights on some of the key learnings I have obtained throughout my career building machine learning systems, as well as caveats and best practices deploying scalable data pipelines systems in production environments.

. Alejandro Saucedo, Chief Scientist, Institute for Ethical AI & Machine Learning
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04:30PM

Session Close