Day 1 - 19 June 2019


Justin van der Lande

Principal Analyst, Research

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, Research, Analysys Mason
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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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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.

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Networking Break


Case Study: Wonderware

Discussing new use cases for the data produced by IoT hardware, from video analytics to customer product usage data that can aid marketing.

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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
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Alexey Filanovskiy

Principle Product Manager


Associated Talks:

12:40PM - Day 1

View Building High performance and Highly available Hadoop cluster. Practical lessons

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Building High performance and Highly available Hadoop cluster. Practical lessons

Key Aspects to a well configured Hadoop clusters

It include 5 pillars:
– YARN performance tuning
– Spark performance tuning
– Set up Static Service pools
– Set up Dynamic Service pools
– Setup Hadoop cluster in Highly available way

. Alexey Filanovskiy, Principle Product Manager, Oracle
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Networking Lunch


Afternoon Keynote: AI, Big Data and Autonomous vehicles

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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

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Kia Eisinga

Senior Data Scientist


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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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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Session Close