At present, predictive analytics is the most used form of AI in enterprise and companies are focusing on innovation, patenting their AI developments at a faster rate than ever before. Join us as we explore the rise of artificial intelligence in six charts including the top investors in AI and the most used AI enterprise solutions. As of June 2016, artificial intelligence received 974m of funding. This year's funding is set to surpass 2015's total and CB Insights suggests that 200 AI-focused companies have raised nearly 1.5 billion in equity funding. AI isn't limited to the business sphere, in fact the personal robot market, including'care-bots', could reach 17.4bn by 2020.

Unsupervised learning, by contrast, is much harder. It is best thought of as a continuum between (a) the entire system being one gigantic, autonomous, self-learning machine and (b) solving certain problems within a much larger system that also involves humans and supervised learning techniques. For many enterprise solutions we are very close to (b). For personal assistants like Siri, we are a little closer to (a), but even in such applications true autonomous AI is still quite far away. Imagine the amount of human intervention that will need to happen on the back-end, or how many special cases must be handled by editors or trainers in teaching the system.

Stephanie Hay is the head of content strategy at Capital One and led the design team that created Capital One's Amazon Alexa skill earlier this year. People say them every day -- after the waiter delivers food, when finishing a customer service call or before launching a rocket into space. These two words are just fine in the context of real life, human-to-human interactions. They're also covered as a feedback loop in traditional UI design, where we can create a button that says "Done" or "Save" and know exactly to which touch point people are referring when they tap it. In human-to-robot interactions, however, that's where things get tricky.

Even if you haven't tried it, everyone knows about Siri, Apple's speech interpretation and recognition personal assistant. The bot is available at the touch of a button or voice activation to answer questions about tomorrow's weather or recommend a nearby coffee shop, all with its signature sassy style. Siri was just an apple in Alan Turing's eye when he developed a test in the 1950s to see if machines could think. This was a highly influential first step in the development of artificial intelligence, but when Apple wowed an auditorium of cheering spectators five years ago at its launch, Siri was one of the first technologies to set expectations for technologists and consumers about what they could actually do with these capabilities. Because of Siri and other computer assistants, consumers finally have their own notions of what A.I.-enabled technologies should be able to do.

Artificial intelligence (AI) is slowly making a shift from the research and development stage to touching our lives wherever we go. With so many applications to choose from, it can get confusing as to what exactly artificial intelligence will be able to do over the next five to ten years. Here's a glimpse of the different areas in your life where AI can make a major difference. First of all, who are the companies at the forefront of this? The list is long, but you know these companies: IBM, Apple, Amazon, Facebook, Microsoft and Google are currently the biggest players in the artificial intelligence space.

Everybody from Facebook to Microsoft to President Barack Obama thinks that chat bots -- robots you talk to like humans in apps like Facebook Messenger or Microsoft's Skype -- are the future. As showcased by the relative success of gadgets like the Amazon Echo and digital agents like Apple's Siri or Microsoft's Cortana, we're at the precipice of a new kind of computing, where you can use your natural language skills to get stuff done. The problem is chat bots these days kind of stink out. It's often harder to get stuff done with a chat bot than it is with the suite of apps and websites to which we've become accustomed. Meanwhile, Microsoft's Tay Twitter bot had a high-profile meltdown, showing how far AI still has to go.

You can't offend a bot. Most of them don't have enough of a personality to be offended. Not only that, few of the bots available today are smart enough to debate with anyone. There are plenty of bot development tools, an immense amount of venture capital, and a massive number of bots. But no one wants to speak to a dumbot.

After birthing a virtual assistant that knows a little of everything, SRI International is working on ones that know a lot about just one thing. The nonprofit research center is arguably best known in the tech world for spinning off Siri, whose virtual assistant tech Apple acquired in 2010. SRI also incubated Tempo, an AI-driven calendar app that Salesforce bought last year. Now, SRI believes it can infuse AI into even more settings--shopping, banking, travel, business-to-business applications, and so on--allowing for deeply knowledgeable chatbots that know how to carry a conversation. The goal, says William Mark, SRI's president of information and computing services, is to have assistants that are much better at specific tasks than a general-interest assistant like Siri.

Pop culture's many takes on artificial intelligence

Briefly describe the problem being solved and how you approached it.