Azeem Azhar is a strategist, product entrepreneur, and analyst living in London. He is the curator of the weekly newsletter Exponential View, from which the following is adapted. This is the first year I am presenting predictions for the coming year. I've received some incredibly helpful comments from readers via Twitter. This has encouraged me to stick my head above the parapet.

Since the 2013 Target breach, it's been clear that companies need to respond better to security alerts even as volumes have gone up. With this year's fast-spreading ransomware attacks and ever-tightening compliance requirements, response must be much faster. Adding staff is tough with the cybersecurity hiring crunch, so companies are turning to machine learning and artificial intelligence (AI) to automate tasks and better detect bad behavior. In a cybersecurity context, AI is software that perceives its environment well enough to identify events and take action against a predefined purpose. AI is particularly good at recognizing patterns and anomalies within them, which makes it an excellent tool to detect threats.

Artificial Intelligence (AI) is the hottest trend at the moment, everyone is talking about how it may change our lives and even take our jobs. Potentially every industry will be affected by AI in the (near) future, but this doesn't mean it will be a negative effect. I have a background in Law so naturally I'm interested to see how AI might change the legal profession for the better. As AI continues to develop and learn it can be used to cut time in proof-reading and research. A study in America found that it took legal professionals on average one hour to proof a document for mistakes, but it only took the AI a matter of minutes.

As the new year draws near, healthcare organizations are thinking about where to focus their resources. Matt Mellen, security architect and healthcare solution lead at Palo Alto Networks, predicts that, in 2018, machine learning capabilities will not only enhance a healthcare organization's cybersecurity program, but improve patient outcomes as well. Healthcare IoT has the potential to greatly improve patient care – but it's not without its challenges. Download this essential guide in one PDF and learn how to overcome the obstacles: security, data overload, regulations, and more. You forgot to provide an Email Address.

AI Magazine AI has come a long way in the 12 years since AI Magazine began. At that point, we had already made it through our infancy, when even simple things were exciting and being done for the first time. We were probably somewhere in our childhood. The new things were a bit more complicated, and there were still a lot of stops and starts. Then we hit the raging hormones of adolescence.

After two issues as Editor Elect, I became Editor-in-Chief in spring 1999. Now, 70 issues and 17 years later, I am still deeply grateful for the opportunity to contribute to AAAI and to the AI community through the editorship. It has been a privilege to guide the magazine's coverage and a treat to have the first look at exciting articles as they arrive. It has been an honor and pleasure to work with all those individuals -- worldwide -- whose efforts have made, and continue to make the magazine a success. It has been a joy to edit this magazine.

As entrepreneurs, it's our job to evolve and adapt to a changing market. Artificial Intelligence (AI) and machine learning initiatives are creating new opportunities for innovators to offload labor-intensive research and analysis to the cloud. And, to be clear, "the cloud" is just a fancy term for someone else's computer. But, it's exciting to see these networks of computers crunch data and automate the things that used to eat up our time and server space. In today's market, the cloud represents a $130 billion industry.

Artificial intelligence (AI) doesn't walk and talk like C3P0 of "Star Wars" (many would say: "Thank God"). It doesn't mask murderous intentions with a calming voice like HAL of "2001: A Space Odyssey." It's not the manically depressed, paranoid android Marvin of "Hitchhiker's Guide to the Galaxy." It's not a beautiful but cunning killer like Ava of "Ex Machina." Spoiler alert: Real life AI is nothing like a Hollywood robot -- too smart for its own good, poised to take over the world and exterminate all humans.

DALLAS TEXAS, Nov. 2, 2017 – AI-powered voice assistants are changing the way we live. Hundreds of millions of people use these assistants regularly to check the weather, wake up on time, and find their way around town. Yet there have been no virtual assistants to help us at work-- until now. Today at Cisco Partner Summit, we announce Cisco Spark Assistant. It is the world's first enterprise-ready voice assistant for meetings.

And among the things we urgently need to learn more about is not just how artificial intelligence works, but how humans work. Humans are also the only species to have developed "group normativity" – an elaborate system of rules and norms that designate what is collectively acceptable and not acceptable for other people to do, kept in check by group efforts to punish those who break the rules. But our complex normative social orders are less about ethical choices than they are about the coordination of billions of people making millions of choices on a daily basis about how to behave. Are we prepared for AIs that start building their own normative systems--their own rules about what is acceptable and unacceptable for a machine to do--in order to coordinate their own interactions?