Entries by Michal Itzhaki

How to Achieve Quick ROI for your Intelligent Automation Project

The most important component of any business decision, particularly in terms of IT, is being able to measure the results as quickly as possible. Ongoing success depends heavily on whether or not the money you’re spending is truly getting you the type of return that warrants continued investment; otherwise you may end up wasting cash […]

5 Non-Tech Skills to Look for in an Intelligent Automation Engineer

Everyone talks about the changes in the IT world – the increased complexity, the pressures to improve efficiency, and the need for tighter links between IT and business. But how does this influence your IT personnel and skill set requirements? It goes without saying that there’s a need for individuals who have backgrounds in areas like data […]

The Rise of Artificially Intelligent Service Management (AISM)

It’s been said that the best way to serve customers is to anticipate their needs, whether it’s a restaurant concierge offering to walk patrons to their vehicles with an umbrella overhead on rainy evenings or rolling out an update on a software product. The same concept can be applied in the IT realm, specifically in […]

Episode #16: How the Coming Tsunami of AI & Automation Will Impact Every Aspect of Enterprise Operations – Capgemini’s Tom Ivory

In this episode, we’ll learn that whatever jobs are lost due to digital transformation will be more than replenished by new positions including many that don’t currently exist, why every business that wants to remain viable must become a digital business, and how a college student studying art history might be just as qualified to become an AI expert as a computer science major.

Episode #15: Leveraging Predictive Analytics to Transform IT from Reactive to Proactive – Business Data Leadership’s Theresa Kushner

In this episode, Theresa Kushner share with us some of the unexpected ways predictive analytics can be used, how a new occupation called “Business Scientist” might be the key to alleviating the drastic shortage of data scientists, and what the single most unrealistic expectation is plaguing the field of predictive analytics.