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About the group

The AI SIG has been created to inform and support the CW member community in the opportunities and challenges raised by AI.

Artificial Intelligence (AI) is enjoying a renaissance, as improved compute capability, availability of massive quantities of data, ubiquitous access to cloud-based server farms, and fruitful advances in academic research, create the perfect disruptive storm. Seasoned researchers talk about the advent of an AI summer – often having personally endured difficult ‘AI winters’ in the past, where AI failed to deliver on the over-hyped expectations of others.

With AI in the news almost every day now, there is an urgent need for us all to become better informed, and to be able to separate the hype from reality for the benefit of the businesses we represent.

The AI SIG invites leading researchers, technologists, entrepreneurs, problem owners, and others with a perspective, to share their knowledge and experience with us through thought-provoking SIG events. Over time, we seek to cultivate a community of learners and practitioners, turning the promise of AI into practical solutions with market and societal benefits.

The goals of this SIG are:

  • to demystify the topic of AI for members
  • to explore practical solutions for members looking to build AI capability into new businesses, or transform existing businesses
  • to chart out a roadmap for AI, navigating the risks of either being too hyperbolic or too cautious
    to explore how AI is likely to disrupt particular industry verticals, and how to ensure you are amongst the disruptors rather than the disrupted!
  • to understand the opportunities to optimise AI through next generation hardware and software architectures
  • to consider the societal and ethical issues around the applications of AI

Follow us on Twitter @CambWireless, and join the conversation using #CWAI

SIG Champions

  • Laurent Brisedoux — Senior Manager, Amazon

    Laurent has been heading the Amazon R&D team in Cambridge, part of the Lab126 organization, since its creation in 2014. His group is responsible for developing software for Amazon’s consumer electronic devices such as Cloud Cam, Echo Look, Echo Show and many more innovative products to come. Prior to that, Laurent was in charge of the development and productisation of...

    Laurent has been heading the Amazon R&D team in Cambridge, part of the Lab126 organization, since its creation in 2014. His group is responsible for developing software for Amazon’s consumer electronic devices such as Cloud Cam, Echo Look, Echo Show and many more innovative products to come. Prior to that, Laurent was in charge of the development and productisation of imaging technologies at Broadcom. He joined the Broadcom Mobile Multimedia group in 2004 with the acquisition of Alphamosaic, one of the Silicon Fen ’success stories’. Laurent is also a junior angel investor and working with several technology startups in the Cambridge area.

  • Mr Phil Claridge — Founder, Mandrel Systems

    Phil Claridge is a ‘virtual CTO’ for hire within Mandrel Systems covering end-to-end systems. Currently having fun and helping others with large-scale AI systems integration, country-wide large scale big-data processing, hands-on IoT technology (from sensor hardware design, through LoRa integration to back end systems), and advanced city information modelling. Supporting companies with M&A ‘exit readiness’, due-diligence and on advisory boards....

    Phil Claridge is a ‘virtual CTO’ for hire within Mandrel Systems covering end-to-end systems. Currently having fun and helping others with large-scale AI systems integration, country-wide large scale big-data processing, hands-on IoT technology (from sensor hardware design, through LoRa integration to back end systems), and advanced city information modelling. Supporting companies with M&A ‘exit readiness’, due-diligence and on advisory boards. Past roles include: CTO, Chief Architect, Labs Director, and Technical Evangelist for Geneva/Convergys (telco), Arieso/Viavi (geolocation), and Madge (networking). Phil’s early career was in electronics, and still finds it irresistible to swap from Powerpoint to a soldering iron and a compiler to produce proof-of-concepts when required.

  • Richard Dearden — Senior Director and Advanced Analytics Project Leader, AstraZeneca

    Richard is a Senior Director in R&D Data Science and Artificial Intelligence at Astrazeneca in Cambridge, UK. He leads a team doing a wide variety of data analytics, artificial intelligence and optimisation projects in the areas of clinical trial design and clinical supply chain. Richard is also an industrial advisor for the University of Birmingham-based National Centre for Nuclear Robotics....

    Richard is a Senior Director in R&D Data Science and Artificial Intelligence at Astrazeneca in Cambridge, UK. He leads a team doing a wide variety of data analytics, artificial intelligence and optimisation projects in the areas of clinical trial design and clinical supply chain. Richard is also an industrial advisor for the University of Birmingham-based National Centre for Nuclear Robotics. He has spent six years in industry, previously working at Schlumberger’s Cambridge Research Centre where he led a robotics and AI team working on drilling automation and other oilfield applications. Prior to joining Schlumberger, Richard was Reader in Intelligent Robotics at the University of Birmingham, where he was a principal investigator on a number of UK and European-funded research projects, including work on robotic manipulation with the German Space Agency, DLR, and on autonomous underwater vehicles with the National Oceanographic Centre. He has over 70 academic publications in the field of artificial intelligence, largely in the areas of automated planning under uncertainty, robotics, machine learning and fault diagnosis. From 1999 until 2005 Richard worked as a research scientist at NASA Ames Research Centre, and for part of that time ran the Model-based Diagnosis and Recovery Group. He worked primarily on the Mars Exploration Programme, including work on planning daily activities and fault diagnosis for Mars rovers. His team also developed the Livingstone 2 fault diagnosis engine which was used for a number of project including being successfully deployed on-board the EO-1 satellite mission. Richard studied Computer Science at Victoria University of Wellington, New Zealand and obtained his doctorate on Markov decision problems and reinforcement learning in structured worlds from the University of British Columbia, Canada.

  • Gunter Haberkorn — Senior Manager Product & Technology, Magna International

    Gunter works in the Corporate R&D Department and has years of experience in complete vehicle engineering. He is looking into Product and Technology trends within the automotive industry with a special interest in autonomy, mobility solutions, manufacturing and electrification and especially technologies which can support advancements in these areas.

  • Peter Whale — Founder, Vision Formers

    Peter is Founder & CEO of Vision Formers, the specialist start-up consultancy that helps Founders and CxOs of visionary technology businesses take practical and purposeful action to get product to market and turn founder and shareholder vision into commercial market reality. Vision Formers provides significant expertise in building great software and digital products along with growing and coaching product and...

    Peter is Founder & CEO of Vision Formers, the specialist start-up consultancy that helps Founders and CxOs of visionary technology businesses take practical and purposeful action to get product to market and turn founder and shareholder vision into commercial market reality. Vision Formers provides significant expertise in building great software and digital products along with growing and coaching product and technical teams. Peter is currently working with Navenio, commercialising their breakthrough infrastructure-free location technology within the healthcare sector. Peter has a long track record of conceiving, developing and marketing successful technology-based solutions, deployed at scale, globally. Innovative products Peter has brought to market in digital, cloud, AI, consumer electronics and telecommunications have been used by countless millions of people on a daily basis globally, badged by the world’s leading digital and technology brands. Peter is a board member of CW (Cambridge Wireless), and co-leads its Artificial Intelligence special interest group.

SIG Related Resources

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