Three conditions for the enterprise to unleash the power of AI

Published  on LinkedIn by Thierry Breton, on July 5 2018

AI is not a new concept or technology. The question, “Can machines think?” was posed by Turing in 1950 and by the end of the decade American computer scientist Arthur Samuel had coined the term “machine learning,” saying one day a computer will be able to beat a person at chess. Fanciful at the time this became reality in the late 1990s.

However, the question we must ask today is not how intelligent we can make machines but how machines can make us more intelligent.

It is now urgent and necessary to converge human intelligence with machine intelligence. Alone we can no longer make sense of all the information and data we are producing. We are in the midst of a “data deluge”, which will only increase. By 2020, we will reach 40 Zettabytes (40 thousand billion billion) of usable data in the world. This is more bytes than the number of grains of sand on Earth.

Without human intelligence working together with IA, data is useless

Without human intelligence and machine intelligence working together this data is useless. Data is black gold. It needs to be refined to create value. Only when properly used does it become valuable.

This is why we must create the right conditions for the AI revolution, especially for enterprise. Successful adoption for enterprise requires three conditions to be in place.

The first condition is that we have applied our knowledge and intelligence to define the right use case.

We must understand where AI can create value and business opportunity and put machines to the best use. This may be in both:

·        Executing the most repetitive actions – sorting and filing. Automating actions to free people to undertake more complex tasks.

·        Also in strategic and critical environments where they can detect risks and anomalies faster and more effectively than a human and remove bias.

The second condition necessary is that we have the computing power to train specific algorithms to execute and learn complex tasks.

It’s this massive amount of data that helps algorithms become more sophisticated – more intelligent – and that brings AI to our lives now.

No AI without supercomputing

There is no AI without supercomputing. It is the central technological factor, which is going to be omnipresent.

We deliver the bridge between Big Data and AI. With our Atos Codex AI suite, we have an easy-to-use software suite which can develop AI applications, which are able to sense, reason, act and adapt, to address a range of scientific, industry and enterprise challenges.

The final critical condition is trust.

Trust and confidence in data storage and management is critical to successful AI adoption for enterprise.

Those who will need flexibility and scale will need to use the cloud, and must have high levels of trust in this data environment.

There is a very strong need for reassurance regarding the integrity, control and propriety of their data.

To deliver this requires both the technological power and speed as well as the guarantee of data security and integrity – a Cloud infrastructure, in compliance with International and European regulations, in particular GDPR.

Our partnership with Google Cloud delivers not only the network scale, speed and fluidity but also the last mile of the digital chain with compliance and security meeting these regulatory needs.

It is predicted that, by the end of this year, half of all consumers will interact with services based on cognitive computing on a regular basis. AI is now present in our everyday lives and its presence will continue to grow.

The speed of change makes the conditions set out above even more critical.

Quantum computing is the next digital tsunami

The next technological Tsunami is already close. Getting implementation right at this stage will enable enterprise to prepare for the next challenge, which could take the form of Quantum computing.

We have just unveiled our new Atos Quantum Learning Machine – commercially available and more powerful and scalable, with the ability to simulate physical Qubits. Currently these simulators are being used for research within numerous universities, labs and organizations.

We must all prepare to be pioneers. The future is bright and I am excited to see what will come.