However public debate has arguably never been greater. We must work together to protect AI-enabled machines from misuse and confront concerns over sustainability, ethics, safety and regulation. In short, we must make responsible AI progress.
AI Summit London 2023 brought together leaders from across industry to discuss these topics and more. Here we bring you highlights from the Cambridge Consultants team.
AI assurance – protecting next-gen business innovation
Launched at the AI Summit, CC’s new AI assurance blueprint outlines the steps businesses need to make to unlock the full potential of AI, whilst addressing potential risks and challenges.
We explain ethical AI, explore specific AI assurance industry use cases, and plot the purpose, design, context and interactions of AI – driving innovation, growth and positive societal impact.
Responsible AI progress
Speaker | Tim Ensor, Commercial Director
As Chair of AI Summit, Tim opened by asking the key question of the day - how do we make responsible AI progress?
Tim unveiled recent technology developments, such as generative AI, laid out the emerging regulatory landscape, and explored how we get the balance right between governance, scrutiny, regulation and innovation, application and value-creation.
Generation-after-next AI
Speaker | Dr Maya Dillon, Head of AI
Dr Maya put forward her vision of generation-after-next AI and explored the technological advances already happening to realise this.
Maya built on this vision by laying out an AI assurance framework, based on the foundations of explainable AI, transparency and security. Using real-world examples, this can build trust in systems, dynamically test them, and accelerate commercial advantage.
The next frontier is to bring AI - and learning - to the edge
What is the next frontier in AI? Generative AI and large language models such as ChatGPT are everywhere, but there are still significant challenges in bringing AI to devices without cloud or other forms of connectedness.
Prof. David Berman, Head of AI Research and Technology, explores how the next-gen of edge AI will enable low-power, low-compute continuous learning, heralding a new wave of dynamic devices.
Learn how we use AI, machine learning and advanced analytics to help our clients deliver world-changing innovations.
Meet our AI experts
Dr Maya Dillon
Tim Ensor
Prof. David Berman
Dr Carolina Sanchez Hernandez
Will Addison
Joe Corrigan
News and insights
Novel semi-supervised learning to accelerate R&D of AI-powered cancer pathology
What is semi-supervised machine learning? And what could it mean for the research and development of a new generation of AI-powered digital medical systems? Andrew Goulter reports on state-of-the art deep learning research at CC that promises huge savings in the time and expense of development, while augmenting the skills of pathologists…
- 머신 러닝 & AI
- 디지털 헬스
AI assurance – protecting next-gen business innovation
AI will transform business and society, but concerns remain over AI ethics, AI security and much more. In this Innovation Briefing, CC experts explain how AI assurance can be the protection for the future of your business or organisation. The briefing reveals how a holistic approach will plot the path to lasting and effective change…
- 머신 러닝 & AI
How O-RAN and AI are set to transform service performance
We are entering a pivotal period for the future of telecommunications. It’s time to move towards the opportunities offered by O-RAN and AI. These are keys to unlock optimised network automation and maximised service performance.
- 머신 러닝 & AI
- 커넥트비티 & 사물인터넷(IoT)
- 디지털 서비스
- 라디오 시스템
The future of AI is at the edge
Driven by advances in silicon and machine learning algorithms, Edge AI is presenting vast opportunities for businesses across diverse markets.
- 머신 러닝 & AI
- Audio & Video
- 커넥트비티 & 사물인터넷(IoT)
- 전자 & ASICs
- 신호 처리