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May Wrap Up: Enterprise Companies, AI & Machine Learning

May Wrap Up: Enterprise Companies, AI & Machine Learning

By Boaz Amidor

Machine learning and artificial intelligence are taking center stage, and it turns out they have a lot to say.

These technologies have come a long way in short amount of time. It’s expected that their impact will be huge. Enterprise companies now face the challenge (or more accurately: the opportunity) to make AI and ML a central part of their strategy. But what exactly does that entail?

This month, I’ve gathered the best articles discussing how AI and ML are transforming enterprise companies.

1. How the Meaning of Digital Transformation Has Evolved

First, a history lesson, albeit this history lesson is quite short. Just ten years ago, AI and ML were far out on the periphery for most enterprise companies. At the time, search technology was a focus, yet today we take it for granted. Tom Puthiyamadam, principal and Global Digital Services Leader with PwC, contributes this article to the Harvard Business Review to show just how far we have come in the last ten years.

2. The Power of Best Practices and Next Practices

Victor Milligan, CMO at Forrester Research, take the discussion from today, forward. Looking ahead, he discusses the speed at which new technology will disrupt current practices. Best practices will be hard to establish as we constantly move on to next practices. “We will need to expand our thinking: best practices are necessary, but accessing a combination of best and next practices can create strategic advantage.”

3. The Limits and Future of Productivity Growth

Speaking of strategy, Answer White, Research VP at Analyst Firm, Gartner, might suggest that not all enterprise technology is made equal. Enterprises today have a plethora of digital options, but not all of them lead to actual productivity gains. White cites a widespread slowing of productivity to encourage business leaders “to get smart about picking and backing the right kind of innovation in order to drive the right kind of productivity.”

4. How AI can boost user adoption of workplace apps

Featured in the leading technology innovation new source, VentureBeat, WalkMe President Rephael Sweary discusses how enterprise companies can use AI and ML to see bigger returns on their existing digital investments. He suggests that companies should adopt the use of AI/ML to improve their internal systems, not just external, to boost user adoption and productivity.

5. Personal Observations to the IT department on Digital Business, IoT & AI

Andy Mulholland, Vice President and Principal Analyst, at Constellation Research gives his rare opinion (favors researched factual reporting) on digital business. He observes that “Currently IT professionals in IT departments need to conduct serious strategic knowledge building exercises.” This is because “IT Professionals have to understand to see the ‘Big Picture’ of Digital Business and how it will transform their Enterprise.”

6. New Digital Adoption Platforms Report from Constellation Research

When an enterprise company invests in new technology for their employees or customers, getting either segment to adopt that technology becomes the next challenge. Yet, digital adoption has largely been ignored as an issue altogether. A new report by Alan Lepofsky sheds light on the need for better digital adoption as well as what to look for in a solution.

7. Event Report – SAP Sapphire 2017 – All in on Leonardo, but wait there is more…

HCM expert, Holger Mueller, VP and Principal Analyst at Constellation Research gives a well rounded, multimedia report of SAP Sapphire 2017. Mueller doesn’t hold back giving readers the good and the bad as he observes it. Leonardo stole the show and is plunging ahead on all fronts, but is this what enterprise wants?



Boaz Amidor
Head of Corporate and Marketing Communications at WalkMe and Contributing Author to WalkMe Blog