While many people still view artificial intelligence (AI) as just walking, talking, robots that will go around and do all your housework for you, that's not all there is to it. Artificial intelligence is a very broad term and includes a manner of different elements including machine learning and big data processing. It also goes hand in hand with IoT and makes things like wearables and connected home gadgets possible. While AI is essentially the decision maker and action taker, IoT collects the information needed in the first instance. One such example where you can see these two working in tandem is within the insurance industry.

Surrounded by all the hype in AI, it's easy to sing the praises of machine learning without realizing that systems can be easily exploited. As governments, businesses, and hospitals are beginning to explore the use of machine learning for data analysis and decision making, it's important to bolster security. In a paper [PDF] ominously titled "Summoning Demons: The Pursuit of Exploitable Bugs in Machine Learning," a group of researchers from the University of Maryland are trying to find bugs by causing "silent failures." Machine learning systems have often been compared to black boxes. They are trained to map input data to output data by learning from an algorithm.

This essay appears in today's edition of the Fortune Brainstorm Health Daily. Get it delivered straight to your inbox. Those of you who read the Fortune CEO Daily--penned each morning at an ungodly hour by my boss, Alan Murray--got a taste of what seems like a fascinating panel on artificial intelligence at Davos. The panel included Mustafa Suleyman, co-founder of DeepMind (gobbled up for a song by Google in 2014), Microsoft CEO Satya Nadella, Dow CEO Andrew Liveris, and the cognitively impressive head of IBM Watson, David Kenny, whom I interviewed at length in October. You can find Alan's full post from this morning here.

Deadline day has arrived for Sky, which is unlikely to reach a deal with Discovery Communications over its portfolio of 13 channels. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

To say the Kingdom Hearts franchise is difficult for new players would be a similar understatement to saying: 'Aren't people a bit miffed about the EU referendum vote?' We've had: Kingdom Hearts, Kingdom Hearts Chains of Memories, Kingdom Hearts II, Kingdom Hearts Encoded, Kingdom Hearts 358/2 Days, prequel Kingdom Hearts Birth By Sleep, and more. The plot has become nightmarish to follow for anyone but hardcore fans and the series' original hook (a game that appeals to as many people as possible thanks to the inclusion of Disney characters) has been lost. The latest release from Square Enix is the bafflingly named Kingdom Hearts HD 2.8 Final Chapter Prologue. The disc features a high definition remaster of Nintendo 3DS game Kingdom Hearts 3D: Dream Drop Distance, a new installment (deep breath now) Kingdom Hearts 0.2: Birth By Sleep - A Fragmentary Passage, and a cinematic titled Kingdom Hearts χ Back Cover, which details events not shown in the original χ game. So, what story elements do you need to know from the original games?

Fifa, Madden and Battlefield have all stopped working online. Players are unable to get onto the EA servers at all because of a problem with the company's servers. The giant human-like robot bears a striking resemblance to the military robots starring in the movie'Avatar' and is claimed as a world first by its creators from a South Korean robotic company Waseda University's saxophonist robot WAS-5, developed by professor Atsuo Takanishi and Kaptain Rock playing one string light saber guitar perform jam session A man looks at an exhibit entitled'Mimus' a giant industrial robot which has been reprogrammed to interact with humans during a photocall at the new Design Museum in South Kensington, London Electrification Guru Dr. Wolfgang Ziebart talks about the electric Jaguar I-PACE concept SUV before it was unveiled before the Los Angeles Auto Show in Los Angeles, California, U.S The Jaguar I-PACE Concept car is the start of a new era for Jaguar.

In a simple B2C e-commerce transaction, AI and machine learning technology can easily provide recommendations for additional products. B2B transactions tend to be bit more complex, however. When a B2B sales person is selling a highly complex product or service, AI technology becomes a secret weapon that allows the seller to be a more agile, sophisticated and trusted advisor to his customer. Insights gained from machine learning allow the B2B sales person to take the conversation to the next level and elevates their role to an effective consultant.

While researchers have been working on AI for many decades, the technology is finally making the transition into the commercial world. Recent developments in AI are mainly driven by the convergence of powerful computing infrastructure, an explosion in data availability and the development of large-scale deep learning algorithms. The pace of innovation in AI is truly breathtaking. According to the McKinsey Global Institute, AI is catalyzing change at a ten times quicker rate than mechanization during the industrial revolution and at roughly 3,000 times the impact. It is therefore not unreasonable to hear industry experts call AI "the new electricity" (Andrew Ng) and machine learning "the most powerful advance in engineering since the Scientific Method" (Steve Jurvetson).

With no lack of drama both on and off the track, the 31st Summer Olympics and its 39 events have been wrapped up recently. As the city of Rio is preparing for the first Paralympic Games to take place in the Southern Hemisphere, some are experiencing Synchronized Swimming, Canoe Slalom and Modern Pentathlon withdrawal symptoms. As Usain Bolt, Michael Phelps and Simone Biles stole the show, Silicon Valley has not just quietly sat and watched the proceedings. In fact, VCs, investment bankers and tech giants active in the Machine Learning space have been in a race of their own that goes on unabated even if they don't get the benefit of prime time NBC TV coverage. It is fair to say that we have been witnessing the unfolding of the ghost Olympic event of Machine Learning startup acquisition.

It's a brand new year, and by most reliable indicators – the latest demos at CES 2017, the buzz on all the tech blogs and even the pre-roll ads interrupting my binge watching of Crazy Ex-Girlfriend – it looks like 2017 will be the year that voice interaction reaches mainstream adoption. Voice interaction – the ability to speak to your devices, and have them understand and act upon whatever you're asking them – was everywhere this year. Device manufacturers of all shapes and sizes heavily integrated voice capabilities into their offerings at CES 2017, with Amazon's Alexa stealing the show as their AI platform of choice. The rapid proliferation of voice interaction capabilities in our individual digital ecosystems raises critical questions for any designer whose work plays a role in the customer experience. It's becoming clear that voice interaction will soon become an expected offering as either an alternative, or even a full replacement to, traditional visual interfaces.