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Peter Schlegel's job is to build trust with Microsoft customers, and he's using AI to do it. "Specialists are solution sellers," says Schlegel, a data and AI specialist for Microsoft Digital Sales. "We help customers solve problems with an eye toward helping them move down the path of digital transformation. To do this, we also must develop high-quality relationships with them." Schlegel introduces customers to Microsoft technologies that can help them efficiently address their business needs.

In case you haven't heard, AI's promise isn't based on future advances. It's being used widely now to transform digital businesses. Powered by smart algorithms and machine learning, chatbots (automated chat messaging) promise to allow companies to connect with their prospects even better than humans can, while at the same time dramatically lowering headcount and overhead costs. Dozens of tech companies have created chatbot platforms that serve up pre-programmed responses to questions; responses informed by things like prior website interactions, social media activity and semantic analysis. If you know intent, you know what to say next, which is the'secret sauce' of lead nurturing.

Have you ever been embarrassed by the first iteration of one of your machine learning projects, where you didn't include obvious and important features? In the practical hustle and bustle of trying to build models, we can often forget about the observation step in the scientific method and jump straight to hypothesis testing. Data scientists and their models can benefit greatly from qualitative methods. Without doing qualitative research, data scientists risk making assumptions about how users behave. In this post, we'll explore how qualitative methods can help all data scientists build better models, using a case study of Indeed's new lead routing machine learning model which ultimately generated several million dollars in revenue.

The Mad Men era of advertising is long behind us, but some of its lessons are timeless: not least those imparted by David Ogilvy, the founder of Ogilvy & Mather, who was once described by Time magazine as "the most sought-after wizard in today's advertising industry". That was in 1962, but even today, 17 years after his death, Ogilvy remains one of advertising's most revered minds, universally acknowledged as the father of modern advertising and credited with pioneering a unique style of ad that didn't insult the intelligence of the individual. But what could today's advertising leaders, or indeed those just starting out on their advertising careers, learn from Ogilvy? The Drum decided to find out, teaming with IBM's Watson to analyse Ogilvy's myriad writings and talks to draw out insights and advice. A man of many words, Ogilvy became the authority on advertising in his day, penning a number of books on the subject and representing the industry in numerous TV and newspaper interviews.

"Smarter Faster Better: The Secrets of Being Productive in Life and Business" (Random House) is Charles Duhigg's follow-up to his best-selling "The Power of Habit: Why We Do What We Do in Life and Business," which was published in 2012. The new book, like its predecessor, has a format that's familiar in contemporary nonfiction: exemplary tales interpolated with a little social and cognitive science. The purpose of the tales is to create entertaining human-interest narratives; the purpose of the science is to help the author pick out a replicable feature of those narratives for readers to emulate. What enabled the pilot to land the badly damaged plane? How did the academic dropout with anxiety disorder become a champion poker player? What made "West Side Story" and Disney's "Frozen" into mega-hits?