Artificial Intelligence

July 17th, 2019, by
Don’t let your brain choose your problems for you

If you’re reading this, I think it’s safe to assume you’re a human being. The thing with human beings is that they need problems and will always have problems, we’re simply wired that way.

Read more
July 4th, 2019, by
Revolutionizing Predictive Maintenance…

Advanced Analytics is rightly serving for Predictive maintenance of the system or machines and has wide range of industrial applications in operations planning for enhanced business benefits and overall throughput.

Read more
July 3rd, 2019, by
How do you change your gears?

Before you automate something, think about how something is done.

Read more
June 27th, 2019, by
Can You Trust Machine Learning Decisions?

Biased? You need a lot of data when you want to train a machine learning algorithm and since Big Data…

Read more
June 13th, 2019, by
Power of knowledge augmentation with Collaborative Intelligence – Application to Connected Vehicles

Upon understanding the science of Collaborative Intelligence and its potential benefits in previous article, its interesting to understand illustration of the same with real life example. Here we discuss one such incidence and thereby application of collaborative intelligence based on the HAWDI platform – Our platform for Collaborative Intelligence.

Read more
June 12th, 2019, by
Collaborative Intelligence – Key for next generation AI systems

Collaboration is a pervasive need of human civilization evolving towards higher and higher intelligence. It enables powerful augmentation of systems to sustain and evolve. Tangible benefits of collaboration is enhanced intelligence resulting in achieving something which is otherwise not possible for individuals, or with lesser efforts, etc.

Read more
June 5th, 2019, by
Is Blockchain ready to become the building Block of the Enterprise?

There is a lot of hype and hyperbole about the impact and disruptions that blockchain promises to unleash on the…

Read more
May 30th, 2019, by
Who tests the Robot?

Recently I have been set the challenge of trying to work out how to test robots and how to test (an) artificial intelligence. You’ll be pleased to know there are no spoilers in this as, well quite frankly, it remains a work in progress. Under duress, I would say my current thinking focuses on how predictable a robot should be, and how the concept of ‘expected results’ falls apart with artificial intelligence.

Read more
May 24th, 2019, by
Avoiding Complexity and Chaos

Software development (but also the development of Machine Learning and AI) is combat against chaos and complexity. It is bad enough when software becomes chaotic and does unexpected things, but it is even worse, when software becomes too complex to be fixed.

Read more
May 22nd, 2019, by
Free the AI: life after the chatbot

I have a vision. A vision where my digital assistant’s only task is to understand me, to support me, like a head butler in the household. Where it is in control of an army of specialist AI agents, each with its own task to make my life easier. To me this is the true digital happiness: innovation to make my life easier.

Read more
May 14th, 2019, by
Unintentional bias in training data

One of the things that are important to consider when you’re testing artificial intelligence is the possibility that you have unintentional bias in your training data. Because if there is, you’ll end up with a biased system… So, how can this happen and what should you look for?

Read more
May 8th, 2019, by
High Availability With Democratized Intelligence

This article showcases the AI capabilities of Capgemini Engineering Services. It aims to add unique differentiation of “high availability” feature in Distributed AI context.

Read more