1. The skills as testers do you will need for Artificial Intelligence
2. Testing Patterns to prove Machine Learning
3. How to leverage Human Intelligence to crease Augmented Intelligence

Jonathon Wright is a strategic thought leader and distinguished technology evangelist. He specializes in emerging technologies, intelligent automation and cognitive adoption (deep learning), and has more than 20 years' of international commercial experience within global organizations. He is currently the CTO for Digital-Assured.com based in Oxford in the UK, advocacy board director for various non for profit such as Vivit-Worldwide.org and is a representative of the European Commission on the topic of Artificial Intelligence (AI). Jonathon combines his practical experience and leadership with real-world insights behind the core principles and practices underpinning Enterprise AI, Smart Cities (IoT / C2X & I2X) and Robotic Process Automation (RPA). Jonathon is the author of several award-winning books.

Artificial intelligence is rapidly becoming part of every organisations 2020 business strategy. As a Tester how do you bridge the Cognitive knowledge GAP? How can you apply a testers bespoke domain knowledge to test Artificial Intelligence (AI) and Machine Learning (ML) platforms?

Join Jonathon who will share his recent experience of implementing Augmented Intelligent (AI) through harmonising Human Intelligence (such as Mechanical Turk) with Artificial Intelligence (Consensus Algorithms) to test next generation Enterprise AI platforms.