No matter what industry you're in, autoML can help you use machine learning successfully and extract and leverage business insights hidden in places where only machine learning can reach. Machine learning (ML) has a rapidly increasing presence across industries. Top technology companies such as Amazon, Google, and Microsoft certainly talked a lot about ML's big impact on powering applications and services in 2017. Its usefulness continues to emerge in businesses of all sizes: automatically targeting segments of the market at marketing agencies, e-commerce product recommendations and personalization by retailers, and fraud prevention customer service chatbots at banks are examples. Certainly ML is a hot topic, but there's another related trend that's gaining speed: automated machine learning (autoML).

Interest and activity around communications and networking solutions that leverage artificial intelligence and machine learning to enable agility and greater efficiency continues to build. That's why TMC is launching three new AI-focused events under the banner of The New Intelligence. This table lays out the details of these events. And the below briefs highlight some recent industry AI developments. In its new IT Operations Readiness Index, Cisco looks at where the more than 1,500 senior IT leaders it surveyed are in their IT operational transformation journeys.

The apparel market is one of the largest in existence, accounting for 2 percent of the world's GDP, and valued at roughly $3 trillion. Every year, American households spend close to $2,000 on apparel alone, and over 211 million of these shoppers make their purchases digitally. In an industry this large, and this competitive, it's hard to keep customers engaged and active with your lines. With the increase of digitalization, retail markets are growing at an unprecedented pace. Newer markets are already beginning to dominate sales.

Marketers have access to more data on their customers than ever before. The challenge is getting rapid insights from all the channels used, in time to act effectively. One solution is an AI-powered customer retargeting platform for omni-channel marketing operations. Abhi Yadav, ZyloTech's co-founder and CEO, spoke to me about the function of AI in omni-channel marketing. ZyloTech, formerly DataXylo, launched in 2014 as an MIT spin off.

People sometimes think of artificial intelligence (AI) as the natural language processing they saw in HAL 9000 in the film 2001: A Space Odyssey or the chess-playing computer Deep Blue that beat Garry Kasparov in 1997. Others see AI as the synthetic human intelligence engineered into a friendly voice interface and software, like Apple's Siri. By contrast, in the enterprise environment, AI for customer marketing offers a far more practical, personal, immediate and business-oriented application. Effective customer marketing is about analyzing billions of signals and automating analytics on a bottom-up basis. It results in highly personal marketing, pairing the right product and offer at the right time to a defined group of people.