There is a revolution in how marketers are using artificial intelligence (AI) and machine learning (ML) to help execute intelligent strategies and campaigns at scale. One important area where AI and ML can be put to good use is in market data management. "This is basically turning AI and ML into a useful tool for marketing itself," said Theresa Kushner, head of North American Innovation Center, NTT DATA Services, at The MarTech Conference. In this way, businesses can better understand all the data streaming in that relates to what's being done in markets, including who is buying products and other important buying trends. "AI and ML can help you sort through, organize that information and present it to you in a way that makes it more digestible within your marketing program," Kushner said.

A computer system can mimic human cognitive functions such as learning and problem-solving. Through AI, a computer system uses math and logic to simulate the reasoning that people use to learn from new information and make decisions. Furthermore, to train a computer to mimic human reasoning is to use a neural network, which is a series of algorithms that are modeled after the human brain. The neural network helps the computer system achieve AI through deep learning. This close connection is why the idea of Artificial Intelligence labs and ML is really about the ways.

Artificial intelligence (AI) is quietly infiltrating the real estate industry -- without looking like a futuristic takeover but rather a boon for buyers and sellers. Mortgage lenders, realtors, title companies, property appraisers and consumers use AI for a wide variety of purposes, including application automation, expediting processes, chatbots on real estate sites and automated valuations models, or AVMs, to name a few. "AI can benefit real estate industry participants in many ways. An example is the use of machine learning to link potential buyers with more relevant properties, creating an enhanced real estate transaction (more timely and focused)," says John D'Angelo, managing director at Deloitte Consulting LLP. "This can also make it easier for buyers and sellers to receive more personalized offerings based on their preferences. In addition, AI can reduce the transaction costs for buyers and sellers by shortening the transaction cycle."

On the left-hand side you have automating the mundane; the automation of highly repetitive tasks, such as invoice processing, to which Robotic Process Automation (RPA) is being applied. This is anything done by someone using a keyboard, doing repetitive tasks over and over again such as invoice processing. One of the notable aspects of the market is the massive valuations these companies (Automation Anywhere, Blue Prism & UIPath being the top three) have received, especially given some of them are not startups – the youngest of those three is 14 years old. And there's not a lot of actual AI in there, beyond document understanding using NLP and other technologies but more is coming. But they scratch a current itch and are benefitting from it. On the right-hand side, you have automating the complex, the most notable example of which is autonomous vehicles, such as Alphabet's Waymo and eventually, Tesla.

Today, more companies are choosing to implement artificial intelligence (AI) and machine learning (ML) in cybersecurity tools. In fact, a Webroot report found that 74% of businesses across the US and Japan have already done so in 2017. ML and AI could be crucial technologies in the future prevention of cyberattacks. However, a recent report found that 87% of researchers believe that it would take longer than three years before they can trust AI to lead cybersecurity decisions. According to Webroot, 73% of organisations plan to use even more AI and ML tools in 2019.

Google just announced the 10 startups that have been shortlisted for the second calls of its Launchpad Accelerator program in India. All of the startups on the list have used artificial intelligence and machine learning to formulate their products. Google just announced the second wave of startups selected for their Launch Accelerator program in India. The program kicks off today with a one week mentorship programme boot camp organised by Google in Bengaluru which will be followed by more classes in April and May to address more specific issues -- lasting a total of three months. Aside from guidance, Google will also provide support for AI and ML, cloud computing, developing user interfaces, using the Android platform, online presence, product strategy and marketing.

Earlier this year, Microsoft launched Healthcare NExT, a new initiative that aims to bring together artificial intelligence, health research, and the expertise of its industry partners in order to provide people with the means to live healthier lives and cure deadly disease. In a blog post detailing the initiative, Microsoft noted how few other industries have the problems as complex as that of health care, though the company believes it can make headway by incorporating new innovative technology. "It's a big challenge," said Peter Lee, Corporate Vice President at Microsoft Research NExT. "But we believe technology – specifically the cloud, AI and collaboration and business optimization tools – will be central to health care transformation." As reported by Digital Journal, Microsoft is expanding Healthcare NExT to cancer research in an effort to further work done to find a cure or effective treatment for the disease.

Your next sous-chef in the kitchen may be a robot. Semiconductor giant Nvidia has debuted its'kitchen manipulator' robot that uses AI and machine learning to be able to identify ingredients. The hope is that as the robot gets smarter, it can one day work alongside humans to help cook a meal. Your next sous-chef in the kitchen may be a robot. Nvidia has debuted its'kitchen manipulator' robot that uses AI and machine learning to be able to identify ingredients Nvidia's kitchen robot is just one of several other robots in development at the firm's new lab in Seattle, which is meant to oversee all of its robotics projects.

The IRS has its sights set on using artificial intelligence and machine learning to detect and respond to cyberthreats. The agency, though it has some concept of what it's looking for, has issued a request for information seeking input from industry on what kind of technology is already available in the marketplace. The RFI asks for responses with information on "artificial intelligence, machine learning, cognitive computing and data analytics techniques, algorithms, and capabilities" that might increase its capacity to combat both insider threats and cyberattacks from outside. Specifically, the RFI goes on to state, the IRS would like an AI platform that "automatically and continuously learns the environment(s), improving accuracy," "identifies previously unknown threats and tracks entities over time" and more. An ideal system would also have an intuitive user interface and integrate well with existing IRS cybersecurity systems.

Earlier this year, Microsoft launched Healthcare NExT, a new initiative that aims to bring together artificial intelligence, health research, and the expertise of its industry partners in order to provide people with the means to live healthier lives and cure deadly disease. In a blog post detailing the initiative, Microsoft noted how few other industries have the problems as complex as that of health care, though the company believes it can make headway by incorporating new innovative technology. "It's a big challenge," said Peter Lee, Corporate Vice President at Microsoft Research NExT. "But we believe technology – specifically the cloud, AI and collaboration and business optimization tools – will be central to health care transformation." As reported by Digital Journal, Microsoft is expanding Healthcare NExT to cancer research in an effort to further work done to find a cure or effective treatment for the disease.