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.
The generation receiving the most press right now is Generation Y (aka Millennials). For the most part, millennials are digital natives. They understand and move through the Information Age in ways members
One of our mottos at Enterra Solutions® is “Revolution not Evolution.” Bill DuBois, Director of Marketing Content at Kinaxis, appears to agree with that motto as it pertains to the supply chain.
“Supply chain professionals are now told on an almost daily basis that their next challenge is to digitise the supply chain,” writes Chaney Ojinnaka (@ochaney), CEO and Founder of VendorMach.[1] The 2017
“Eighty percent of IT’s effort is focused on mundane grunt work — ditch-digging to keep the lights on with barely 20% spent on innovation,” says Frank Casale, founder of the Institute for
No business executive likes to consider the possible demise of their business let alone the potential collapse of their entire industry. Nevertheless, it can happen. Back in 1942, Harvard Professor Joseph Schumpeter
“Artificial intelligence tools are only beginning to penetrate the workplace,” writes Jared Lindzon (@JLindzon), “but are causing leaders to rethink how their businesses run.”[1] In fact, many (if not most) analysts believe
We live in a complex world that becomes more complex every day. Analytics can help deal with that complexity. “Almost all business processes suffer from excess complexity and variability,” assert Deloitte analysts,
There is a general consensus among analysts that businesses organized around industrial age principles need to transform into digital enterprises if they are going to survive and thrive in the decades ahead.
There has been a lot of disappointment in business circles about the value companies have derived to date from big data analytics. In many minds, the hype about big data has far
“The next big thing for IT leaders today,” writes Stuart Sumner (@StuartSumner), “is to become a data-driven ‘algorithmic enterprise’.”[1] Most analysts discuss the “digital enterprise” rather than the “algorithmic enterprise” because it takes
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