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IBM has created a 'Visual Recognition Demo' to showcase Watson's latest trick, which allows users to feed Watson an image before it tells you what it believes it sees.

Every industry is becoming an analytics industry because of the inclusion of data-driven technology. Traditional industries, such as healthcare and finance, are actually purchasing analytic technologies with the intent of becoming digital leaders in their industry. IoT is regarded as a future trend, and according to Gartner, by 2018, six billion connected things will be requesting data support. This requires tools that are future-proofed to handle the mass and types of data that Gartner is forecasting.

IBM wants to combine blockchain's distributed ledger technology with its artificial intelligence arm to make the billions of smart devices connected to the internet safer, and by doing so it would allow virtual time travel by letting regulators rewind to the point when the problem occurred and see just what happened.

Suggestic, an application and Internet-based platform, is looking to fuse medical advances with a growing trend of personalized healthcare - making interventions specific to the individual patient. The company launched a beta version of its technology earlier this month and has a few thousand people signed up in their waiting list to try out the service.

"The "big data, little brain" phenomenon is defined as managers who rely excessively on data to guide their decisions, abdicating their knowledge and experience."

Whats does the future of work look like?

RUSI's report found that the key limit on the use of emerging technology in policing was data itself, with much crime underreported, making the data unreliable.

"OpenAI's mission is to ensure that artificial general intelligence (AGI) - by which we mean highly autonomous systems that outperform humans at most economically valuable work - benefits all of humanity. We will attempt to directly build safe and beneficial AGI, but will also consider our mission fulfilled if our work aids others to achieve this outcome."

"Chatbots reach people on the channels they prefer, enabling personalized, two-way communication at scale."

Human-Computer Interaction takes big leaps every once in a while. The next generation of speech interfaces is one of those leaps. Humans are increasingly going to be interacting with devices that are able to listen to us and talk back.

Google believes that artificial intelligence (A.I.) virtual assistants (VA) and the conversational user interface (CUI) will largely supplant search engines and mobile apps for many users. We're moving into an "A.I.-first world," according to Google CEO Sundar Pichai.

"Relying on counterfactual explanations as a means to help us act rather than merely to understand could help us gauge the scope and impact of automated decisions in our lives. They might also help bridge the gap between the interests of data subjects and data controllers, which might otherwise be a barrier to a legally binding right to explanation."

Big data is now moving from the sole care of data scientists and becoming accessible to employees throughout organizations. The mystique surrounding data analytics is falling away, with tools designed to let non-technically-minded people understand metrics.

The Cabinet Office has selected Capgemini as its partner for a £4m project to try and drive use of robotic process automation (RPA) technology across Whitehall.

Use of machine learning and physical modelling for adaptive vehicle control. Data-driven decision making.

Google is implementing voice activated natural language processing technology - already available across Google products like Android and Search - to all Google Analytics users over the next few weeks.

"The Echo - a cylindrical speaker with microphone - now accounts for just over 70% of all digital assistant use in the US, leaving its nearest competitor, Google Home, well behind."

The challenge for the 21 century is to say, OK we've got the devices which can collect and store this data, but what shall we do with that data and what are the advantages of understanding that data, will it help us navigate society better and to help us improve the way that we live? And there are lots of different aspects to working that out.

"Google subsidiary DeepMind has accomplished some amazing things over the past couple of years, from beating humans at their own game to saving its parent company money on its electricity bill. Now, however, it's coming under major scrutiny because of the specifics of a deal with the United Kingdom's National Health Service."

Our local hospital is part of the Royal Free Trust (the body that gave Deepmind MY data). The trust has never consulted me on this. I don't care whether it has a legal duty to do so or not, I believe it has a moral obligation to tell me what it is doing and why. Deepmind may have altruistic public health motives (hmmm), but this silence is destroying trust (pardon the pun). It's about time the data Ombudsmen did their job.

Google Sheets is getting smarter. After adding the machine learning-powered "Explore" feature last year, which lets you ask natural language questions about your data, it's now expanding this feature to also automatically build charts for you. This means you can now simply ask Sheets to give you a "bar chart for fidget spinner sales" and it will automatically build one for you.