Day 1 - 25 April 2019

Data Analytics for AI & IoT

  • Big Data
  • Edge processing
  • Data analytics for sport
  • Predictive analytics
  • Data architecture

09:40AM

Paige Leuschner

Research Analyst for Residential Energy Innovations

Navigant

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

. Paige Leuschner, Research Analyst for Residential Energy Innovations , Navigant
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10:00AM

Ian Tinney

SVP Technical Services and Cloud Operations

Gemini Data

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

10:00AM - Day 1

View Ensuring Your AI Projects are Successful

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Ensuring Your AI Projects are Successful

Organizations see the potential of AI, but do not have the data infrastructure to make it a reality. AI is most effective on vast, diverse sets of data but organizations lack the access across silos needed to fuel AI algorithms. In this presentation, Ian Tinney (SVP of Tech Services & Cloud Ops at Gemini Data) will speak about the most important steps necessary to ensure that AI projects are successful.

. Ian Tinney, SVP Technical Services and Cloud Operations, Gemini Data
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10:30AM

Ibrahim Gokcen

CTO

Schneider Electric

Associated Talks:

10:30AM - Day 1

View Keynote: Solving customer problems with the power of AI

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Keynote: Solving customer problems with the power of AI

Digital demands a mind shift: from developing technologies in a vacuum to solving customer problems with relevant technology. In that context, what is the business value of AI? And how can industry incumbents such as Schneider Electric lead in the age of AI? AI is the framework behind the ability of any company to develop new digital models. Imagine a long-time specialized machine builder, for example, now being able to offer a digital service such as “uptime as a service.” AI enables this type of digital transformation. Take a deeper look: machine learning can overhaul the way Oil & Gas companies manage remote assets such as onshore oil pumps. To drive value, AI must be complemented by domain expertise for better data context and better models.

Hear from Schneider Electric Chief Technology Officer Ibrahim Gokcen how AI is solving customer problems – becoming an applicable digital advancement that is paving the way for disruptive companies to thrive in the digital economy.

. Ibrahim Gokcen, CTO, Schneider Electric
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11:00AM

Networking Break

11:40AM

Filippo F.G. Della Casa

Head of Analytics, Chief Innovation Officer Department

Leithà – Unipol Group

Associated Talks:

11:40AM - Day 1

View 5.5 years of Data Science in a Large Corporate: lessons learnt, through use cases

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5.5 years of Data Science in a Large Corporate: lessons learnt, through use cases

To follow soon…

. Filippo F.G. Della Casa, Head of Analytics, Chief Innovation Officer Department , Leithà – Unipol Group
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12:00PM

Paige Leuschner

Research Analyst for Residential Energy Innovations

Navigant

Associated Talks:

09:40AM - Day 1

View Data Analytics for AI and IoT: Chair’s Welcome and Opening Remarks

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Paul Copping

International Adviser / Former CIO

Sightline Innovations / Digital Greenwich

Associated Talks:

12:00PM - Day 1

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

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Joss Langford

Executive Director

Coelition

Associated Talks:

12:00PM - Day 1

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

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Lukasz Kuncewicz

Head of Data Science

Enigma Pattern

Associated Talks:

12:00PM - Day 1

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

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Faizan Patankar

Venturing and Incubation Lead

Rolls-Royce

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: . Paige Leuschner, Research Analyst for Residential Energy Innovations , Navigant
. Paul Copping, International Adviser / Former CIO , Sightline Innovations / Digital Greenwich
. Joss Langford, Executive Director, Coelition
. Lukasz Kuncewicz, Head of Data Science , Enigma Pattern
. Faizan Patankar, Venturing and Incubation Lead, Rolls-Royce
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12:40PM

Adrien Blind

DevOps & Tech Evangelist

Saagie

Associated Talks:

12:40PM - Day 1

View Adopt dataops practices & build a datahub to industrialize data and AI projects

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Adopt dataops practices & build a datahub to industrialize data and AI projects

Data is the new oil, many say. But to get value of all this data sleeping in your databases and datalakes, you need to adopt industrial processes and build up a refinery. In this session, you will first understand the key principles of DataOps, a methodology which streamlines and accelerate data and AI projects. On the technical side, you’ll also learn what a datahub is, and how to build one leveraging on the Kubernetes ecosystem (using Helm and Argo for instance), as well as other key technologies generally used in data projects : Apache Spark, Kafka… And finally, what this has to do with AI ? Join this session, and you’ll understand the link.

. Adrien Blind, DevOps & Tech Evangelist , Saagie
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01:00PM

Networking Lunch

02:20PM

Nino Letteriello

former Head of Performance Reporting and Analytics and the COO – Performance and Assurance

Tideway Project London.

Associated Talks:

02:20PM - Day 1

View Data warehouse, Business Intelligence and Analytics on the Tideway Project

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Data warehouse, Business Intelligence and Analytics on the Tideway Project

The presentation will cover introduction on the project Tideway project, an over £3bn infrastructure project to complement and modernise the London sewage system. Focus will be inception, needs, implemented Data and information solutions and lessons learnt.

. Nino Letteriello, former Head of Performance Reporting and Analytics and the COO – Performance and Assurance , Tideway Project London.
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02:50PM

Paige Leuschner

Research Analyst for Residential Energy Innovations

Navigant

Associated Talks:

09:40AM - Day 1

View Data Analytics for AI and IoT: Chair’s Welcome and Opening Remarks

View Full Info

Ian Tinney

SVP Technical Services and Cloud Operations

Gemini Data

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

10:00AM - Day 1

View Ensuring Your AI Projects are Successful

View Full Info

Dima Karamshuk

Principal Data Scientist

Skyscanner

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Robin Patel

Big Data Architect

Mr & Mrs Smith

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Adrian Foltyn

Data Science Expert

Ocado Technology

Associated Talks:

02:50PM - Day 1

View Panel: Big Data – Creating Intelligent Data Models

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Callum Staff

Lead Data Scientist

Marks and Spencer

Associated Talks:

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: . Paige Leuschner, Research Analyst for Residential Energy Innovations , Navigant
. Ian Tinney, SVP Technical Services and Cloud Operations, Gemini Data
. Dima Karamshuk, Principal Data Scientist , Skyscanner
. Robin Patel, Big Data Architect, Mr & Mrs Smith
. Adrian Foltyn, Data Science Expert, Ocado Technology
. Callum Staff, Lead Data Scientist, Marks and Spencer
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03:30PM

Alejandro Saucedo

Chief Scientist

Institute for Ethical AI & Machine Learning

Associated Talks:

03:30PM - 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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04:00PM

Elisabeth Kurkowski

Lead Product Consultant Omnichannel Analytics

Wirecard

Associated Talks:

04:00PM - Day 1

View Making the Most of the Power of Payment Data

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Making the Most of the Power of Payment Data

Self-learning algorithms revolutionize the modern retail industry: Meaningful analyses can help to rewrite the history of omni-channel retailers and change it based on payment data. Hence, understanding customer shopping behaviour and reacting in the right way through the right channel is one of the biggest challenges for retailers today. Dive into customer shopping analytics and understand how they can change the world of retail.

. Elisabeth Kurkowski, Lead Product Consultant Omnichannel Analytics, Wirecard
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04:20PM

Networking Break

05:00PM

Jakub Langr

R & D Data Scientist

Mudano

Associated Talks:

05:00PM - Day 1

View MeetUp: Data Science Initiative – Automated ML and Generative Adversarial Networks

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Fatos Ismali

Founder

Data Science Initiative MeetUp

Associated Talks:

05:00PM - Day 1

View MeetUp: Data Science Initiative – Automated ML and Generative Adversarial Networks

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MeetUp: Data Science Initiative – Automated ML and Generative Adversarial Networks

The Data Science Initiative (DSI) is an initiative that aims to create an environment where anyone with a passion for Data Science can learn this field at an introductory, intermediate, and/or advanced level. The initiative’s main objective is to equip students with the right skills to enter the growing and expanding market of data science.

Agenda:
17:00 – 17:20 – Automated Machine Learning – An Overview by Fatos Ismali

In recent years we have seen an upsurge of Machine Learning techniques being applied to almost all kinds of problems types: classification, regression, clustering, market basket analysis, and many more. This has become a challenge for the typical Data Scientist who is usually faced with a search space of algorithms and configurations that is usually too time-consuming and practically inefficient to go through. In this talk, we introduce the topic of Automated Machine Learning and more specifically automated feature engineering, model selection, hyper-parameter tuning, and neural architecture search.

17:20 – 17:25 – Q&A
17:25 – 17:55 – Overview of Generative Modelling, GANs & adversarial attacks by Jakub Langr

Until recently, generative modeling of any kind has had limited success. But now that Generative Adversarial Networks (GANs) have recently reached few tremendous milestones (and truly exponential growth in the interest in this technology), we are now closer to a general purpose framework for generating new data.
Now GANs can achieve a variety of applications such as synthesizing full-HD synthetic faces, to semi-supervised learning as well as defending and mastering adversarial examples, we can discuss them in this talk. In this talk, we will start with the basics of generative models, but eventually, explore the state of the art in generating full HD images as presented in https://arxiv.org/abs/1710.10196 and dive into adversarial attacks and why this matters to all computer vision algorithms.

17:55 – 18:00 – Q&A

 

 

. Jakub Langr, R & D Data Scientist, Mudano
. Fatos Ismali, Founder, Data Science Initiative MeetUp
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06:00PM

Session Close

Networking Party – 6pm Pergola @ Olympia

An evening of networking on Thursday 25 April from 6pm. Access for Ultimate, Gold & Expo Plus holders in addition to speakers, sponsors, press and exhibitors. Taking place at the rooftop bar of Olympia with spectacular views across London,  join us for drinks and networking opportunities. There is still time to register for your Ultimate, Gold or Expo Plus pass here.
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