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…
- AI・アナリティクス
- デジタルヘルス
AI品質保証：次世代のビジネスイノベーションを保障する
AIはビジネスや社会に変革をもたらしますが、AIの倫理やセキュリティなど多くの点については依然として懸念が存在します。このイノベーションブリーフでは、AI保証がビジネスや組織の将来をどのように保護しうるか、弊社の専門家が説明します。そして、包括的なアプローチによって永続的かつ効果的な変化への道をどのように切り拓くかを明らかにします。
- AI・アナリティクス
オープンRANのインテリジェント化がサービスパフォーマンスを変革
私たちは、電気通信の未来にとって極めて重要な時期に突入しています。オープンRAN（O-RAN）とAIによってもたらされる新たな可能性に向き合うべき時が来ているのです。これらが、自動ネットワーク運用を最適化し、サービスパフォーマンスを最大化する鍵となります。
- AI・アナリティクス
- コネクティビティ・IoT
- デジタルサービスの 革新
- 無線システム
AIの未来はエッジにあり
半導体技術と機械学習アルゴリズムの進歩に伴い、エッジAIは様々なマーケットに大きなビジネスチャンスをもたらし、AIを活用した新たな製品やサービスが実現しています。
- AI・アナリティクス
- オーディオ・ビデオ
- コネクティビティ・IoT
- 電子機器・ASIC
- 信号処理