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.  

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 AI renaissance: why it has taken off and where it is going 

The technological enablers for widespread use of artificial intelligence (AI) have fallen into place. Early movers in technology industries have driven initial applications, but the scene is now set for widespread and accelerated adoption... 

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

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... 

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.

Rethinking AI investments, redefining success 

Tim Ensor, Commercial Director, opened the headline stage at the AI Summit London 2021 with a review of the most notable AI breakthroughs that have been accomplished in the past year and a recognition of just how hard achieving this level of innovation can be.

Understanding these challenges provides an opportunity to rethink AI investments and significantly increase the impact they can have on businesses.

By applying design thinking, Tim showed, with concrete examples, what this means and how we can help each other achieve success with AI. 

Deepfakes and society: Can tech save us?  

AI is becoming exceptional at creating fake content. It is becoming increasingly difficult for humans to spot such fakes, with worrying consequences. This session, recorded at Mobile World Congress 2021, explores the impact of Deepfakes on society, how we can protect ourselves, and how the latest technologies are being used to fight back against deepfakes. 

Building firm foundations for effective AI-powered innovation 

The buzz around potential applications for AI continues to grow. The trouble is that the excitement is often not tempered with a solid understanding of the practical requirements for innovating with AI.

So let me cut through the noise with a simple but heartfelt message...

AI-powered healthcare

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 personalisation.

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. 

AI in healthcare: COVID-19 & the future  

The COVID-19 pandemic has disrupted all aspects of the healthcare industry in a very short amount of time. AI, machine learning and high-quality data have played key roles in the delivery of connected healthcare. 

Joe Corrigan, Head of Intelligent Healthcare, joined this session at Mobile World Congress 2021 to share breakthroughs in how AI has saved lives and reshaped the healthcare industry.  

Is your AI & data processing approach fit for purpose in a telehealth world? 

With the increasing need for remote diagnosis and monitoring, telehealth solutions are on the rise. With that expansion comes an increasing wealth of data – but there’s a trade-off:  whether to transmit all of that data at a relatively high cost, or whether to use AI to improve the signal to noise ratio and therefore reduce the data transmission. 

Endpoint AI 

To realise the promise of AI and the Internet of Things, ambitious businesses are exploring how to increase the levels of intelligence embedded within handheld consumer products, autonomous vehicles, factory machinery and city infrastructure, to name just a few use cases.

This will open the door to smarter everyday products and services, whilst unlocking a host of new opportunities that benefit from the lower-latency and enhanced privacy of locally processed data.

Lower power and lower cost silicon, along with advances in connectivity and machine learning are set to open the door to a range of new AI-enhanced products and digital services. 

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. This paper is essential reading for any business looking to bring greater levels of intelligence to the edge, unearthing the technologies and strategies that can make this a reality. 

AI in the driving seat 

Advanced driver assistance systems (ADAS) is the fastest growing technology segment in the automotive market, worth an estimated $21 billion in 2020 and predicted to reach nearly $32 billion by 2023 according to Statista.

This paper examines the commercial and technological challenges to wider adoption of ADAS and set out our roadmap to deliver semi-autonomous features into the mid-range vehicle segment. 

Meet our AI experts

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

Ram Naidu

Senior Vice President, AI

Dr Maya Dillon

Head of AI, EMEA

Tim Ensor

Commercial Director

Dr Sally Epstein

Head of Strategic Technology


Will Addison 

Group Leader,
Algorithms and Analytics

Oli Qirko

President, North America

Colin Campbell

Vice President of Engineering

Joe Corrigan

Head of Intelligent Healthcare

David Berman - round

David Berman

Senior AI Consultant

AI & Analytics

We're using machine intelligence to achieve the seemingly impossible