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Feb 162017
 
Is your organization a disrupter? Has it been disrupted?

There’s no denying the disruption resulting from new business models enabled by digital technologies. From Uber turning the taxi industry on its head, to Facebook/Venmo blindsiding the banking industry by becoming a player in funds transfer, both organizations and entire industries are having to rethink value — how they create it and how they capture it. If you’ve been involved in transforming your company’s business model, or creating an entirely new business model, we invite you to share your story. If you’ve had to regroup to face new competition — made possible by digital technologies — we invite you to share your story, too. Cutter Consortium will publish a special “From the Field” report later Read more

Sep 282016
 
Great Conversations on Digital Transformation

I’m sure our invitation isn’t the only one you’ve received to a conference on digital transformation. So, you’re probably wondering, what makes Cutter’s Summit 2016 — focused on digital transformation — different and worth spending the time and money on? Here are just 3 of the many ways that the Summit stands out: 1. No lectures, no talking heads. Every session is interactive. There’s a case study session, where you’ll work through the GE and the Industrial Internet case; first on your own, reading the case before you even arrive in Boston, and then with a small group of your peers at the Summit, and finally in a high-energy conversation facilitated by Harvard Business School Read more

Sep 262016
 
STEM Crisis is Really a Knowledge Shortage, according to Charette

Cutter Fellow Bob Charette’s 2013 assertion that The STEM Crisis is a Myth inspired quite a bit of discussion in education and industry, which has apparently not subsided! In STEM Literacy and Jobs, wsj.com blogger Irving Wladawsky-Berger taps Charette for his thoughts on the STEM jobs “crisis.”   When it comes to STEM, the discussions have mostly focused on STEM jobs rather than STEM literacy, and in particular, on whether we have a STEM crisis or a STEM surplus–a debate I recently wrote about. A number of articles have pointed out that, as is often the case with such complex questions, both sides are right. It all depends. STEM includes a variety of disciplines, degree Read more

Jul 262016
 
Cognitive-Based Solutions for Assessing Risk in Banking and Finance

Cognitive computing is starting to impact the enterprise by changing the way data is analyzed and the manner in which employees and customers interact with computerized systems. This is happening across various industries, ranging from healthcare and retail to banking and financial services. Since I have been delving into the financial area of late, I wanted to provide a glimpse into how banks and other financial institutions are utilizing cognitive applications and commercial solutions within their organizations. Key Drivers Key trends driving cognitive into banking and finance include: Massive data sets. Finance and banking firms are facing an increasing need to analyze very large data sets consisting of structured and unstructured data for exploration and discovery, Read more

Jun 142016
 

The boundary between machine capabilities and what once seemed uniquely human has certainly moved over the years, justifying concerns that the relatively new field of roboethics addresses. Roboethics goes beyond job losses and looks at the impact of robotization on society as a whole; that is the major topic here. (I will address job losses at the end.) An algorithm can be unethical in both obvious and subtle ways. It could be illegal, as may have been the case with Volkswagen’s engine management algorithms for its “clean” diesel engines. It could be unethical in the sense that it violates a sense of fair play. More subtly, an algorithm could take on decision-­making roles that a Read more

Jun 102016
 
Think you're making rational business decisions? Think again.

Cutter Senior Consultant Barry Devlin is passionate about extending BI approaches into true business insight. His four-part series over at Upside.com digs into the science of decision making (hint: we’re less rational than we think!) and how that fits with current BI tools (hint: not very well). Here’s an excerpt from How Do You Make Decisions? (Part 4). In my book, Business unIntelligence: Insight and Innovation beyond Analytics and Big Data, I developed a conceptual model for decision making support in today’s world. This model consists of three “thinking spaces.” Two of these are obvious and long-recognized: information and process. However, I also explicitly included a people space in the conceptual architecture, sitting atop the Read more

May 172016
 
When Architecture Disappears, the Enterprise Thrives

Simplicity is a great virtue but it requires hard work to achieve it and education to appreciate it. And to make matters worse: complexity sells better. — Edsger W. Dijkstra Architecture’s raison d’être is to manage complexity and enable value generation for the enterprise that rests on it. But does the enterprise of architecture always produce the architecture for the enterprise? My experience tells me that it often does not. Sometimes, though, in our finest moments, we manage to architect things of elegance that push our enterprises and industry to much higher levels. It may not all be by design; emergence may be a better explanation for some of our architectural accomplishments. So, what would Read more

May 032016
 
What measures are you taking to protect your data?

Cutter’s Curt Hall is conducting research on the measures organizations are taking to safeguard their data in light of the persistent breaches that have become commonplace in our world. This confidential survey seeks to gauge the various trends impacting organizations’ data security protection practices, and the extent to which organizations are using data-centric practices and technologies. Survey results will be revealed in upcoming Cutter Consortium research. Those who complete the survey will receive a $50 Cutter Bookstore credit. Thanks in advance for your participation! Take the survey.

May 032016
 
EA's Role in the Innovation Management Process

By asking the CEOs of some of the most successful and influential companies in the world, such as GE and Google, a clear definition of innovation manage­ment emerges. The definition addresses the need to quickly and effectively implement organizational goals and objectives to remain competitive and the desire to strengthen advantages through the adoption of innovative ideas, products, processes, and business models.[1] Enterprises facing increasing competition and the pressure of techno­logical innovation are beginning to realize that to drive organic business growth and maintain a competitive advantage, they need to discover and imple­ment innovation quickly and with great care to ensure maximum value. One-off innovations are moderately easy to take advantage of, but to create a pipeline of Read more

May 032016
 
Five Perspectives on Cognitive Computing

Cognitive computing is among the major trends in computing today and seems destined to change how business people think about the ways in which computers can be used in business environments. “Cognitive computing” is a vague term used in a myriad of ways. Given the confusion in the market as to the nature of cognitive computing, our recent Executive Report (Part I in a two-part series) describes what we mean by cognitive computing by exploring five different perspectives on the topic: (1) rules-based expert systems, (2) big data and data mining, (3) neural networks, (4) IBM’s Watson, and (5) Google’s AlphaGo. Here is a brief description of each. Rules-Based Expert Systems There have been other attempts to commercialize artificial intelligence Read more