The field of machine learning and artificial intelligence (AI) is experiencing tremendous growth and providing immense opportunities for industry to solve problems. At the same time, the flow of information is getting bigger and bigger and more and more confusing. It is precisely this challenge that the company Anacode is addressing, with the aim of providing a clear overview of progress and development in this field. Janna Lipenkova, CEO, shows how her tool is used to identify current trends and topics. Natural Language Processing (NLP) plays a major role here in analysing and evaluating various text sources. A particularly important company when it comes to NLP is Cortical.io.

While Elon Musk-esque theories of an impending AI apocalypse tend to dominate popular conversations around machine learning, the reality is that the machine learning revolution has already happened, cyborg-free. To see it, you just have to look at data-heavy, sometimes "boring" industries like insurance. That's where the unparalleled processing ability of machine learning can have an outsized impact. On October 16, Quantemplate--a London-based startup that uses machine learning to help insurers process data--raised a $12 million Series B. This round comes on the heels of several others at insurance-focused machine learning startups: Ethos, a data-driven life insurance issuer, raised a $60 million Series C in late August. Clearcover, a platform that uses AI to sell auto insurance, raised $43 million in January.

Artificial Intelligence (aka AI) is something that can be seen only in movies. The technology has been explored for more than fifty years, but it started penetrating various industries in the last two decades. Needless to say, AI is becoming better each passing day, and people more than ever rely on it for various reasons. Let's take a look at the industries that already use this technology to improve their operations. Many doctors nowadays rely on AI that helps them discover various diseases.