I suspect that of all things, big data will address the human mind last. For whatever reason, people approach the science of the mind differently than they approach the science of the body.

The dynamic nature of the business capability architecture (BCA) aptly lends itself to modeling the new paradigm of big data analysis.

The commercialization of cognitive systems is impacting both the consumer and enterprise worlds; in effect changing the way people interact with computers along with the methods for data analysis. In short, with the ability to ingest, analyze, and summarize massive data sets and facilitate self-service analytics, intelligent decision support, and smart advisory systems via the application of various artificial intelligence (AI) technologies — including natural language processing (NLP), machine learning (ML), and other intelligent reasoning capabilities — cognitive computing is starting to transform information-intensive industries.

Don MacIntyre has led large and small organizations through successful transformations. And now you can benefit from his on-the-job experience. Don MacIntyre’s Agile Leadership training is designed to help leaders make Agility a priority, enabling their organizations to transition quickly to new ways of doing business.

As has been our tradition for the last several years, we've compiled the five most intriguing articles published by the Business Technology & Digital Transformation Strategies practice this year for today's Advisor.

Here are the Agile Product Management & Software Engineering Excellence articles that garnered the most feedback from Cutter Members and clients in 2017. Look for these lists from each of our four practice areas, and rediscover Cutter's most intriguing articles of the year!

Here are the Agile Product Management & Software Engineering Excellence articles that garnered the most feedback from Cutter Members and clients in 2017. Look for these lists from each of our four practice areas, and rediscover Cutter's most intriguing articles of the year!

Here are the Business & Enterprise Architecture articles that garnered the most feedback from Cutter Members and clients in 2017. Look for these lists from each of our four practice areas, and rediscover Cutter's most intriguing articles of the year!

As has been our tradition for the last several years, we've compiled the five most intriguing articles published by the Data Analytics & Digital Technologies practice this year for today's Advisor. How did we come up with this list? We chose the articles that garnered the most feedback from Cutter Members and clients and those that created controversy among Cutter Senior Consultants and Fellows.

In this webinar with Cory Casanave, you'll discover how to design the terms and concepts in conceptual reference models so that they represent the “stuff of the business,” not the stuff of IT, and make sense to business stakeholders.

The change to an Agile mode of operation demands a manager who is able to act as a leader with an emphasis on inspiration, motivation, learning, and giving responsibility and trust.

Cloud has paved the way for the rapid growth of the IoT, but with such growth, businesses need faster and more efficient solutions than ever, since information that is as new as one day old can lose value. Compa­nies are turning to fog computing for higher efficiency, better security, faster decision-making processes, and lowered operating costs.

A Service Dominant Architecture operationalizes concepts from service science in an architectural blueprint for the implementation of a service platform. Within two-speed IT, a service platform can be implemented on top of a legacy infrastructure, adding important complementary capabilities to legacy IT.

Cutter Consortium’s Digital Transformation & Innovation Bootcamp is designed to help executive teams upend the reflex thinking that prevents essential change, take a fresh and creative look at opportunities, and dive deeply into what they need to do to succeed. Cutter Consortium Fellow, Professor Karim Lakhani will guide participants through a two-day examina­tion of how digital innovation is transforming our business landscape on April 8-10, 2018.

Mobile, wearable devices support noninvasive, biometric monitoring. They are generating a wealth of data detailing important indicators of the user’s health, ranging from heart rate, respiration, and temperature to perspiration, gait, blood sugar levels, balance, grip, and more. Incorporation of data from sensor-enabled devices with other health and medical information adds a real-time capability to healthcare that has been lacking in all but the more complex medical device monitoring applications to date.

In this Advisor, we will look at some of the proactive and reactive recommendations for dealing with vendor-created technical debt.

Having a market structure that supports and encourages diversification of risks is key to avoiding systemic risks not only to national economies, but to the global economy as well.

This Executive Update examines the use cases surveyed organizations indicate as being most viable for applying blockchain technology.

This Executive Update examines the use cases surveyed organizations indicate as being most viable for applying blockchain technology.

Data science is essential in extracting value from big data but it is not sufficient. It makes use of technical, management, and business analysis skills. Data science also deals with the enterprise architecture (EA) of the organization. Astute leadership is essential and an imperative for value extraction from big data.

Giti Javidi, Ehsan Sheybani, and Lila Rajabion present a convincing argument for redistributing the cloud. They suggest that the cost and time associated with transmitting data to the cloud, processing it there, and returning the results back to the IoT devices are critical. Fog computing both enhances and complements the cloud by bringing the processing closer to a cluster of IoT devices, resulting in faster analytics.

Giti Javidi, Ehsan Sheybani, and Lila Rajabion present a convincing argument for redistributing the cloud. They suggest that the cost and time associated with transmitting data to the cloud, processing it there, and returning the results back to the IoT devices are critical. Fog computing both enhances and complements the cloud by bringing the processing closer to a cluster of IoT devices, resulting in faster analytics.

Matthew Ganis and Frank Coloccia eloquently explain that analytics is not a perfect science. Indeed, the authors judiciously argue that analytics is more an art than a science. They demonstrate their analytical approach with a direct and practical example of using Twitter data in real time to understand the sentiments (positive or negative) of trade show participants and to gain insights from them.

Clustering large amounts of unstructured data into relatively smaller chunks based on some similarity is at the crux of unstructured data analytics. Here’s where “swarm intelligence” can play a role — an application that drives neural networks for clustering unstructured data. The authors offer an excellent example of swarm intelligence via a model that learns to classify Web documents. We can easily apply this same algorithm to business, medicine, defense, and supply chains, to name a few other areas.

Clustering large amounts of unstructured data into relatively smaller chunks based on some similarity is at the crux of unstructured data analytics. Here’s where “swarm intelligence” can play a role — an application that drives neural networks for clustering unstructured data. The authors offer an excellent example of swarm intelligence via a model that learns to classify Web documents. We can easily apply this same algorithm to business, medicine, defense, and supply chains, to name a few other areas.