A.I. and Change Management – How to help a company embrace A.I.

A.I. and Change Management – How to help a company embrace A.I.

According to The Association of Change Management Professionals (ACMP), change management is defined as(1) the “practice of applying a structured approach to transition an organization from a current state to a future state to achieve expected benefits.” From our perspective, this means our clients (retailers, mainly in the grocery category) will take certain necessary measures to ensure their investments in A.I. are integrated and adopted in the best manner possible. A.I. is so impactful and important that once an organization embraces it, nothing less than wholesale changes are imminent with regards to how employees view the industry, the company, and long-term career paths as well their day-to-day job roles. In many cases the actual act of creating artificial intelligence programs to solve retailer’s problems isn’t actually that difficult. The major challenges derive from the fact that retailers, for decades, have had a certain view of their world. Along comes A.I. with a different and more holistic view that seriously challenges “known conventions.” The goal is to get the key people on board with adopting A.I. and keep them tee’d up and eager to embrace A.I. for the tangible benefits to organizations and their careers.. Be prepared for change — at all levels First and foremost is preparation. Since many (if not the majority) of tech investments are actually quite heavily based on the decision-makers’ previous experiences and personal memories, and A.I. is an entirely new category of solution for many, the senior executive leadership and directors must not only make sure they have an understanding of how A.I. solutions helps users – at all levels of the company –...
How to spot if the A.I. is real

How to spot if the A.I. is real

The objective of this blog post is to help business and technology leaders gain clarity around the value of A.I. by being able to better discern what is fake A.I. and weed the pretenders out. The fact is, there’s quite a bit of “fake A.I.” presently being offered, and this lack of clarity in the marketplace is one of the main reasons that it’s such a challenge for many to determine whether Artificial Intelligence is worth the investment. When we use the term fake A.I., what we’re describing is the way legacy data analytics technologies are repackaged and marketed by (too) many vendors as A.I. The potential for significant business value around Artificial Intelligence (A.I.) is in and of itself nothing new. It’s been over a quarter-century since we (Daisy’s CEO) attended Geoffrey Hinton‘s lectures at the University of Toronto on A.I. neural networks. Does it Provide ROI Today? What’s relatively new is the number of organizations that are investing in A.I. solutions — and realizing tangible and quantifiable benefits. For many corporations, however, A.I.’s perceived value is still viewed as nebulous. While we obviously can’t speak to every single product or service out there that markets itself with the term “artificial intelligence,” what we can do is emphatically state that based on our first-hand experiences in the retail and insurance industries, true A.I. is accessible and delivering results now, with verifiable ROI. By way of one example, Daisy Intelligence deployed A.I. to enable the North Carolina-based organic grocery chain Earth Fare to analyze the “ripple effects” of promotions during the weeks prior to and after the promotion in...