The promise

A transformative technology with limitless potential… and the potency to disrupt every conceivable sector sooner rather than later.

Unquestionably, AI-powered technology will be pivotal in driving and defining your next generation of services. Because when we create machines that perceive and think for themselves, everything changes.  

The challenge

The interconnected technologies of AI are progressing rapidly. Yet many cutting-edge developments are still to make the leap from the research lab to practical applications. When they do, the engineering and business processes they support will need to be rethought.

Winners in the AI race will require specialist expertise to understand, adapt and deploy Artificial Intelligence in products and services that create true commercial and societal value. Beyond that, there is a pressing need to engage with policy makers to ensure widespread responsible governance of AI.  

What's next?

Autonomous vehicles

The journey to vehicle autonomy

The journey to vehicle autonomy is long and complex. A group of visionary companies are addressing the holistic challenges that will lead to L5.

Today we’re engaged in the big leap from L2 to L3, or in some cases from L2 to L4, in which all safety-critical functions are performed by the vehicle. We expect a gradual roll out of L3/L4 from 2022, where an increasing number of autonomous vehicles (AVs) will exist on our roads or industrial areas.

Critical technology we’re developing includes simulation, sensor development, machine vision and perception, whilst marrying technology decision-making with transparency and ethics.  

AI-powered healthcare

Earlier diagnosis, treatment & improved patient outcomes

The current global healthcare model is unsustainable. Economic and demographic pressures on care systems are being exacerbated by the challenge of discovering and delivering new medicines. AI will be at the heart of the solution, transforming service delivery with improved efficiency and personalization.

Right now, we’re working to transform the accuracy, relevance and timeliness of information physicians can access across the care pathway, from clinical trials and surgery to medication adherence. It promises earlier diagnosis and treatment, improved outcome prediction and, ultimately, the saving of lives.  

We use AI to help clients achieve the seemingly impossible  

Beyond imagination

With AI techniques, tools and hardware, machines are doing things we never thought possible. But really, we’ve barely begun. The blistering pace of change means that AI will soon be capable of things we can’t yet even imagine.

We’re tracking the hidden developments from academia, research labs and the wider AI sphere. Our intention is to identify and understand those most likely to make the leap to practical, value-creating innovation. Ultimately, this work will enable you to develop the AI-powered products, services and experiences that will transform how we live and the world around us.

The future of AI is at the edge

2020년 09월 17일

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

인공지능(AI) 르네상스: 그 발생 원인과 향후 방향

2020년 05월 15일

기술 업계의 인공지능(AI)의 보급화 움직임이 본격화되고 있다. 초기에는 업계 선구자들이 이끈 인공지능의 특정한 적용이 주를 이뤘다면 이제는 점차 AI의 보급화와 폭넓은 적용이 가속화 되는 추세이다.

  • 머신 러닝 & AI

AI has only reached adolescence – everything will change when machines learn to learn

2021년 02월 19일

Many believe that even Einstein started out with tabula rasa, a clean slate. An absence of innate, preconceived ideas or predetermined goals. Just like machines in fact...

  • 머신 러닝 & AI

Firm foundations

To capture the potential of AI, there are a host of new basics to get right. Maintaining privacy, transparency and building trust; creating effective AI engineering teams and validating AI for critical applications are just a few. These issues are causing leaders to question some well-understood business processes and to develop entirely new ones.

Commercial teams, technologists and policy makers will need to work together to ensure efficient and responsible AI delivery and to both earn and build public trust. Today, we’re working with policy makers and business leaders to do just that.

Is your AI responsible? Five questions to ask yourself

As the debate moves on – and as we continue to learn from real-world deployments rather than abstract research – it seems like a good time to revisit our core principles for responsible AI. What should we be considering when we develop and deploy AI?  

Ofcom: use of AI online content moderation

A key theme to the debate about harmful internet material is how automated approaches driven by AI can enhance content moderation. These approaches may have implications for our future use, and attitudes towards, online communication.

By examining online use and attitudes, our Ofcom-commissioned report helps widen the debate on the risks we all face.

Meet our AI experts

The team is ready to connect and talk through your challenges and opportunities

Tim Ensor

Director of Artificial Intelligence

Dr Sally Epstein

Head of Strategic Technology

Dom Kelly

Head of AI Research

Oli Qirko

Senior Vice President, US Industrial, Consumer and Energy 

Colin Campbell

Vice President of Engineering

Joe Corrigan

Head of Intelligent Healthcare

Michal Gabrielczyk

Head of Edge AI

AI & Analytics

We're using machine intelligence to achieve the seemingly impossible