As LinkedIn passes the half a billion member mark, Microsoft is coming out of the gate with its first 'get Salesforce' integrations with Dynamics 365. Game on.
In this edition: the future of automotive - through a filter of clouds past. Plus: the downside of multi-cloud and the need for "data fluency." Data use cases, machine learning audits, and, yep, AI for community managers. Your whiffs include: more airline fiascos and the riveting excitement of the Microsoft-LinkedIn integration. Adam Sandler and Kenny G make their first hits/misses appearances.
Spanish start-up takes big data approach to enabling retailers and consumer brands to identify in-store hot zones, blind spots and new opportunities to improve layouts.
In this edition: marketing tech gets put to the AI field test, while hotels gear up for a pea-brained offensive against Airbnb. Plus: Slack gets called out, digital advertising gets exposed, and Delta forces United to move over in the fails race. Corporate creativity and low-code get a gut check. Your whiffs are bountiful, including - a whiff against myself?
Marketing and AI are going to get a heavy does of hype this year. But Barb Mosher Zinck does see some progress. Turns out that machine learning can help with of the most vexing martech problems: lead attribution. A more interesting play is coming: look out for the "integrated intelligence layer."
It's been two years since I addressed the challenge robotic automation poses to skills development. Plenty has happened since. Recent blog posts show that utopians and alarmists have more in common than they think. Here's some recent posts of note - and how my own thinking has changed.
Approaching e-commerce from a narrow transactional view doesn't work anymore. The e-commerce wins go to companies with better experiences and fewer shopping cart abandons. That's where machine learning can help - but how? Barb Mosher Zinck explores how Sitecore uses machine learning to change e-commerce, as well as digital marketing and content analysis.
In London yesterday, Box CEO Aaron Levie outlines 5 big shifts in enterprise collaboration and Box's role as a best-of-breed cloud platform leveraging AI
We are starting to see real word examples of the advantages that can be gained from using machine learning. Here are six vignettes to illustrate the point, with a Google slant.
A breezy PR email on workplace productivity ruffled my feathers. But my snarky response led me to a much more substantive debate with Harmon.ie CEO Yaacov Cohen. He shared Harmon.ie's latest machine learning/Outlook-based approach to easing worker distractions. Then we got into the problem of always-on workplace culture, notification noise, and what the modern worker is up against.
IBM’s augmented intelligence system is claimed to be 18 months ahead of other AI systems in being able to identify the nuances of what we really mean rather than what we write or click on in social media. Training it such arts could be one opportunity for the fabled new jobs AI is expected to create.
A look at some SAP SuccessFactors futures, such as conversational HR, headless apps, workforce analytics, AI and machine service instead of self-service
New research shows the customer service function is embracing a future that's conversational, intelligent and personalized, writes Salesforce's Gavin Mee