By Jack Phillips, Jun 22, 2017
Last week I had the pleasure of meeting with two promising new(ish) data analytics companies that are worth exploring: NGDATA and Podium Data. Both have established and tested products, clear value propositions, and a strong list of initial customers.
By Geoffrey Moore, Jun 20, 2017
There is a lot of serious talk in America these days about improving the state of our manufacturing sector. Smart products, Internet of things, robotics, predictive maintenance—all great stuff. But none of it addresses the most fundamental challenge facing the sector: how to deal with a demand/supply inversion which has made the customer king.
By Peter Moore, Jun 13, 2017
Last July, I suggested that well-established companies could no longer sustain competitive advantage through using their size and market reach as barriers to entry. The unprecedented assault of new waves of digital disruption have enabled companies of any size to penetrate some portion of well-established companies’ value chains. Taken together these disruptions are making what was scarce and expensive now ubiquitous and cheap as the chart below illustrates. Simply put, companies must now find totally new ways to compete or risk a major wipeout.
By Bill Franks, Jun 08, 2017
Artificial intelligence is one of the hottest topics in analytics today. Currently the most popular member of the AI family, deep learning is solving some very difficult problems very well. Best known for image recognition, it is now being applied to a wide range of other problems. Given the success of the approach, it is easy to forgive people for thinking that deep learning is incredibly intelligent. However, once you dig into deep learning, you’ll find that as opposed to being a generally brilliant algorithm akin to Albert Einstein, it is much more akin to a savant like the famous movie character from Rain Man.
By Thomas H. Davenport, Jun 01, 2017
I attended the MIT Disruption Timeline Conference on AI and Machine Learning. There was interesting content on a variety of topics, but a primary focus was on when specific AI capabilities might become generally available. One particular technology addressed was autonomous vehicles. The key question was when 50 percent of vehicles on US roads would be fully autonomous.
By Jack Phillips, May 25, 2017
As the leader of a world-class service organization, I’m on the road a lot meeting with research clients and prospective customers alike. Each week I try to meet or speak with at least one team at IIA’s ever-growing group of high-performing research clients. I thought it was time to start sharing some field notes of what I’m seeing and hearing. Last week I finished a trip to New Zealand and Australia, visiting with 10 companies from four distinct sectors in three major cities.
By Rich Lanza, May 23, 2017
Corruption is essentially the abuse of entrusted power for private gain; it uses a company as a tool for personal gain which is contrary to the official or fiduciary duty of the organization. Companies serious about reducing fraud within their walls need to recognize that regardless of their size and type, corruption is one of the most pervasive and impactful fraud types. It can occur in any department/division making purchases or from the other side of the business transaction in the company sales cycle.
By Bill Franks, May 18, 2017
Any new leader in any field will have to face several challenges in the first few months on the job if he or she is to succeed. On May 11, IIA hosted a webinar where co-founder Tom Davenport and I discussed some of the challenges analytics leaders face and what they can do to ensure success. While the action steps apply broadly, we focused on how they apply specifically within the realm of analytics. This blog explores the key themes at a high level.
By Bill Franks, May 11, 2017
There have been many science fiction stories (as well as video games!) that revolve around the tradeoffs between powerful, strong, hard to harm combatants and those that are small, nimble, but easy to harm. Both have their merits and both can be useful in different situations. However, the same profile doesn’t work best in every situation.
By Geoffrey Moore, May 09, 2017
We are all stakeholders in the economic systems within which we live and work, and the better we can understand their dynamics, the more likely we are to navigate them successfully. For the most developed economies of today, this means understanding the transition from an industrial to a digital economy, and specifically, how economic power is migrating from familiar to unfamiliar sites.