Dr Raoul-Gabriel Urma, CEO Cambridge Spark on "Skills for a Data World"

Conference TFNetworkAutumn21

Data Science - The beating heart of AI
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Dr Raoul-Gabriel Urma is the CEO and founder of Cambridge Spark. Its mission is to empower organisations to achieve business goals by educating their current and future workforce in Data Science and AI. In particular, Cambridge Spark has developed K.A.T.E.®, a proprietary AI-powered learning platform for Data Science, with the support of the UK innovation agency.

He is author of several programming books, including the best-seller “Modern Java in Action: lambdas, streams, functional and reactive programming” which sold over 50,000 copies globally and with a second edition published in November 2018 as well as "Real-World Software Development" published in December 2019.

Raoul holds a PhD in Computer Science from Cambridge University as well as a MEng in Computer Science from Imperial College London and graduated with first-class honours, having won several prizes for technical innovation. His research interests lie in the area of programming languages, compilers, source code analysis, machine learning and education.

He was nominated an Oracle Java Champion in 2017. He is also an international speaker having delivered over 100 talks covering Emerging Technologies, Entrepreneurship, Java and Python. Raoul has advised and worked for several organisations on large-scale software engineering projects including at Google, Oracle, eBay and Goldman Sachs.

Cambridge Spark

Twitter: @CamridgeSpark

Skills for a Data World

Data is all around us and transforming how organisations are having to operate. As a result, data is significantly impacting the future of work. In this talk, we will cover what are the key skills for individuals and organisation to invest in across all roles for a successful future.

Kes Ward, University of Lancaster on 'Anomaly Detection at the Edge '

Conference TFNetworkAutumn21

Data Science - The beating heart of AI
➣ Conference overview and registration 
➣ YouTube TFNetworkSummer21 Conference Playlist 

Kes is a mathematics PhD student looking at anomaly detection in real-time data streams. 

He is based at the Statistics and Operational Research for Industry (STOR-i) centre for doctoral training at Lancaster University. 

His work is part-funded by BT to develop new methods for finding changes in network traffic flowing through sensors. This helps identify problems as soon as they happen, so they can be fixed early before causing more issues.

Anomaly Detection on the Edge

In an Internet of Things where everything is collecting and analysing its own data, we need edge analytics to help us sort the meaningful from the muck without breaking the computational bank. In this talk I will present a new statistical method for finding anomalies of different shapes and sizes in a real-time data signal, while working under extremely tight computational constraints.

Dr Matloob Khushi, UoS on "AI: The Fourth Age"

Conference TFNetworkAutumn21

Data Science - The beating heart of AI
➣ Conference Overview
➣ YouTube TFNetworkSummer21 Conference Playlist 

Dr. Khushi is the Senior Lecturer in AI at the University of Suffolk - UoS and the Course Leader of M.Sc. AI and Data Science. 

He has over 20 years of industry and academic experience. He earned his PhD in AI and Data Science from the University of Sydney in which he developed novel algorithms for solving big genomic data and health informatics.

Dr. Khushi has earned various awards for his research achievements and has authored more than 50 research papers. His ResearchGate score is 23.6 which is higher than 80% of the researchers world-wide. During his postdoc (2014-2017) at the Children’s Medical Research Institute, Australia, he developed automated AI-based algorithms for developing cancer drugs expediting the discovery process. 

Some of his research publications caught international and Australian media attention. He has also developed solutions for the financial industry for the prediction of stock, forex and commodities markets. Dr. Khushi has supervised more than 100 research theses in various domains of AI, big data and data science.

YouTube Channel

LinkedIn

AI: The Fourth Age

In this talk Matloob will talk about how AI has transformed our society and has defined new norms of livings. He will also share some of the outcomes of his AI research.

iSee teamed up with TFNetworkAutmn21 Conference on "Data Science - The beating heart of AI"

Workshop: 13th - 14th October 2021

At the Tommy Flowers Network Autumn '21 Conference on Data Science - The beating heart of AI

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The iSee project is funded by national European funding councils and co-ordinated by the CHIST-ERA programme.

What do users want when explaining an AI system? 

An Introduction to the iSee Project and Co-Creation Activities

Can you explain the outcomes of AI models for your business? Not everyone can.

There are increasing legal pressures and social obligations for businesses to be able to explain the outcomes of their complex intelligent systems. It is difficult to follow best practice or industry guidelines for a very new and growing aspect of research and development. However, selecting and developing an appropriate explanation strategy is a daunting task. 

To address these challenges, we introduce the iSee project. iSee aims to enable Intelligent Sharing of Explanation Experience by users for users. 

The project will enable the recommendation of the most appropriate explanation strategy to suit the needs of an individual AI system, task and user group. The recommendation will be underpinned by a state-of-the-art AI platform, extracting knowledge from the past explanation experiences and adapting them to ensure compatibility. 

We are employing a User-Centred Design methodology to capture input from a range of stakeholders., making sure that iSee actually supports the users it is built for.

Find out more about iSee and our aims on our website or watch our user story video on YouTube