The Digital Enterprise and Boring AI
Most, if not all, business leaders understand that the corporate landscape changed dramatically when the world entered the Digital Age and data became the lifeblood of most enterprises. Yossi Sheffi, Director of
In this blog, we discuss cognitive computing and other technologies with a focus on supply chain management and innovation. Other topics of discussion include digital enterprise transformation, marketing, the Internet of Things, and smart cities. Our goal is to advance the public discussion about how cognitive computing and other advanced technologies affect the world in which we live.
Bradd C. Hayes is the active editor of this blog.
Most, if not all, business leaders understand that the corporate landscape changed dramatically when the world entered the Digital Age and data became the lifeblood of most enterprises. Yossi Sheffi, Director of
In late October, much to the surprise of many in the AI industry, President Joe Biden signed an Executive Order (EO) containing sweeping regulations concerning the development of artificial intelligence.[1] As explained
Business experts continue to insist that, in the current era, companies must transform into digital enterprises or risk going out of business. What does that really mean? Depending on the economic sector
I have often quoted Bain analysts, Michael C. Mankins and Lori Sherer, who stated, “The best way to understand any company’s operations is to view them as a series of decisions.”[1] They added, “We know
Correlations can be interesting, even enlightening; however, scientists understand that correlation isn’t the same thing as causation. To highlight that point, Tyler Vigen, a Partner at Boston Consulting Group (BCG), created a
The recent movie “Oppenheimer,” a film about J. Robert Oppenheimer’s role as the scientific director of the Manhattan Project which developed the world’s first nuclear weapons, had him quoting Hindu scripture —
The news has recently been filled with stories about large language models (LLM) such as ChatGPT and Bard — often referred to as generative artificial intelligence (AI) systems. You can test the
We live in a data-driven world. Don’t believe it? Yossi Sheffi, Director of the MIT Center for Transportation & Logistics, insists, “The well-worn adage that a company’s most valuable asset is its
Supply chain professionals have always depended on forecasting to help them balance supply and demand. With the maturation of artificial intelligence (AI) systems, predictive analytics have grown in importance. The difference between
Disruptions to the global agriculture value chains are more devastating than disruptions in other supply chains. Sometimes referred to as “soft commodity supply chains,” they are arguably the world’s most important supply
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