Episodes
Thursday Jul 26, 2018
Thursday Jul 26, 2018
The video can be viewed at: https://www.piworld.co.uk/2018/07/26/newgate-redleaf-ai-conf-sdl-neural-machine-translation-the-toughest-challenge-in-ai/
Mihai does refer to various slides and doesn't read them.
Mihai Vlad, VP, AI & Machine Learning Solutions, SDL.
Mihai’s presentation discussed “Neural Machine Translation – the toughest challenge in AI?”, looking at the history of the technology, how it works and why it is now so important to companies in a global marketplace.
Mihai Vlad is in charge of the Commercial Strategy for the Machine Translation (MT) division, and all the Machine Learning and AI solutions SDL is bringing to the market. Mihai is an entrepreneur and technologist with background in data sciences, marketing, sales, business and product development. Specifically, Mihai has a deep experience in developing & selling Machine Learning in the Cybersecurity field. Over the past 15 years, Mihai was responsible for building and scaling sales, designed and managed a Data Analytics business, introduced new technologies and delivered complex technical projects all over the world. Throughout university he also ran his own startup – an Internet Service Provider.
Ralph Anderson Introduction – 00:09
Mihai Vlad, SDL introduction – 00:39
What is artificial intelligence? – 01:10
Language – 02:19
Machine translation – 02:53
Neural machine translation from numbers to meaning – 08:10
Encoding & Decoding – 10:46
Turing test – 11:24
Why invest in machine translation? – 14:53
Use cases – 15:40
Data protection – 17:48
Specialisation – 18:31
Summary – 19:17
The human & the machine – 22:05
Q&A – 24:22
Wednesday Jul 25, 2018
Newgate Redleaf AI Conference – Breed Reply: “AI in IoT”
Wednesday Jul 25, 2018
Wednesday Jul 25, 2018
This video can be seen at: https://www.piworld.co.uk/2018/07/25/newgate-redleaf-ai-conference-breed-reply-ai-in-iot/
Emanuele Angelidis, Chief Executive Officer, Breed Reply.
Emanuele’s presentation discussed “AI in IoT – Its role and importance”, showing how IoT is now involved in every sector, the potential market value of each and how our perceptions need to change about this technology.
Emanuele Angelidis is a Co-Founder and CEO of Breed Reply, Europe’s leading investor in early stage internet of things (IoT) businesses, that supports IoT entrepreneurs to quickly bring new ideas to market. They achieve this through funding at early-stage; active operational involvement with significant know how transfer of business, managerial and technological expertise; and go-to-market support through the extensive Reply network. Founded in 2014 and based in London they invest across Europe and currently have a portfolio of 20 IoT companies in a variety of different sectors including Health and Wellbeing, Smart Cities and Buildings, Industrial IoT, Platform Infrastructure and Cyber Security. Emanuele Angelidis co-founded Breed Reply after a long, successful career in the telecoms industry. Emanuele started at Italtel Telecomunicazioni, and in 1994 took part in the start-up and development of Omnitel, latterly Vodafone Italy. In 1999, he co-founded Fastweb, one of Italy’s largest telecoms companies, and was CEO.
Ralph Anderson Introduction – 00:09
Emanuele Angelidis, introduction to Breed Reply – 00:27
IoT & AI – 01:07
Disrupting multiple sectors & value – 02:11
Realising the value from IoT & AI – 07:32
Challenges – 16:03
Application examples – 21:30
Conclusion – 26:37
Q&A – 28:38
Tuesday Jul 24, 2018
Tuesday Jul 24, 2018
The video of this presentation can be seen here: https://www.piworld.co.uk/2018/07/24/newgate-redleaf-ai-conf-razorsecure-cyber-security-and-transport-protection-on-the-move/
Alex Cowan, Chief Executive Officer, RazorSecure.
Alex’s presentation discussed “Cyber Security and Transport – protection on the move” highlighting the processes, requirements and challenges facing companies today.
Alex Cowan started RazorSecure after 15 years in the gaming industry working on massive multiplayer games with hundreds of thousands of players and thousands of servers. During that time, he worked in developing software to manage credit card payments and live operational systems as well as dealing with hackers trying to gain an advantage over other players. He saw an opportunity to manage cyber security in a different way, using machine learning with a focused approach to individual systems rather than focusing on network traffic. RazorSecure now provides its patented machine-based learning software to transport system suppliers and operators across Europe.
Ralph Anderson introduction: 00:10
Alex Cowan, RazorSecure introduction - 00:36
Introduction to Cyber Security - 02:11
Frameworks & legislation - 03:43
The layered approach - 06:27
Intrusion detection - 07:34
Anomaly detection - 10:07
Signature based, focussed on the past - 11:10
RazorSecure Delta - 11:44
RazorSecure’s approach to Machine Learning - 13:00
The power of grouping - 13:55
The cyber kill chain - 14:37
Clients - 17:50
The next 5 years - 18:48
Q&A – 19:00
Monday Jul 23, 2018
Monday Jul 23, 2018
This video can be seen at: https://www.piworld.co.uk/2018/07/23/newgate-redleaf-ai-conf-kx-machine-learning-the-growth-of-predictive-analytics/
James Corcoran, Global Head of Products and Solutions for Kx (part of First Derivatives).
James’ presentation discussed “Machine Learning – the growth of Predictive Analytics”. James has been at Kx for over 7 years and he is responsible for software sales, pre-sales, product design and the implementation of enterprise solutions for all new and existing Kx clients.
Ralph Anderson introduction to conference – 00:09
Introduction to KX – 02:18
James Corcoran opening introduction – 02:28
About KX – 02:55
What is predictive analytics? – 03:56
What does a predictive analytic look like? – 04:54
How long has it been around? – 5:50
How does it work? – 07:18
How will it work? – 07:37
The hype – 08:04
What is Machine Learning? – 10:32
What isn’t Machine Learning? – 11:21
But really, what is it? – 11:41
Real world examples – 13:05
How to implement Machine Learning – 20:10
Modelling – 21:42
Q&A – 23:16