Intelligent Business Applications are a significant priority for Microsoft. We just announced our future direction, Microsoft Dynamics 365 in July of 2016. We've seen tremendous momentum in business apps with the launch of our ground-breaking ERP in the cloud and nearly doubling our CRM Online business in FY16. The power of One Microsoft is where we differentiate Dynamics 365 from any other business application provider in the market. We're tying together the power of business processes and data, productivity tools, big data, IoT and device data, and advanced analytics to elevate our message and story around Intelligent Business Applications that help companies drive digital transformation to engage customers, empower employees, optimize operations ad transform product.

Reporting to the VP of Marketing, you live and breathe product marketing and know the immense value this strategic function brings to an organization. Through your proven experience in B2B product marketing, you've learned how to keep your eye on the big picture and execute on what needs to get done to move the needle. You've lived the role first-hand and you're in it because you love it and couldn't imagine doing anything but product marketing! We're looking for a seasoned Product Marketing Manager who will take integrate.ai You'll be responsible for core go-to-market activities and ongoing product success - defining product positioning through a deep understanding of the market, buyers, and key competitors.

Writing requires a dash of uniquely human creativity. Artificial intelligence alone cannot do it for us, at least not very well. But AI can – and already is – helping us do things like make sure we spell words correctly and use correct grammar, through the myriad ways it is infused across the suite of Microsoft 365 products. Some of them were even used to craft this story. As the AI in these products is becoming more sophisticated, they are helping us do more than spot a misspelled word.

The race is on to develop intelligent systems that can drive cars, diagnose and treat complex medical conditions, and even train other machines. The problem is that no one is quite sure how to diagnose latent or less-obvious flaws in these systems--or better yet, to prevent them from occurring in the first place. While machines can do some things very well, it's still up to humans to devise programs to train them and observe them, and that system is far from perfect. "Debugging is an open area of research," said Jeff Welser, vice president and lab director at IBM Research Almaden. "We don't have a good answer yet."

The semiconductor industry generates a tremendous quantity of data, but until very recently engineers had to sort through it on their own to spot patterns, trends and aberrations. That's beginning to change as chipmakers develop their own solutions or partner with others to effectively mine this data. Adding some structure and automation around all of this data is long overdue. Data mining has been in widespread use for the better part of this decade for everything from marketing to to bitcoin. The initial idea was that keywords, phrases, and even images and shapes can be sifted out of massive quantities of data with pattern recognition.