Jan 172018
 
[Call for Papers] Disciplined Agile: Roadmap to Business Agility

Business agility – being an adaptive, lean, responsive, and learning organization – is a race that enterprises need to win today, especially with the threat of disruption by new competitors. Yet there is no quick fix and no silver bullet to attain business agility. This is a multi-year journey requiring hard work, experimentation, and most importantly, a willingness to improve. To succeed, business agility requires true agility across the entire organization, not just in software development, DevOps, and IT. The challenge remains of how to move from optimizing team performance to optimizing the entire enterprise to enable rapid response to market conditions and enable innovation. A Disciplined Agile approach lowers risks and provides a path Read more

Jan 022018
 
Fog or Cloud? Nope. Fog AND Cloud.

Fog computing, also known as edge computing, has begun to take off. Fog computing is an intermediate layer that extends the cloud layer. As Giti Javidi, Ehsan Sheybani, and Lila Rajabion write in Focusing in on Fog Computing’s Implications for Business, “simply put, fog is a cloud close to the ground.” With fog architecture, some of the computing is moved to the edges, away from centralized data centers and cloud solutions, allowing data to be processed locally on smart devices rather than being sent to the cloud for processing. Why are companies are turning to fog computing? According to Javidi and her coauthors, they are doing it for higher efficiency, better security, faster decision-making processes, Read more

Dec 222017
 
[Call for Papers] AI: Trends, Opportunities, Challenges

Artificial intelligence (AI) is no longer just the stuff of science fiction movies; it’s real and transforming the way we live and do business. AI encompasses several technologies including machine learning (ML), deep learning (DL), and chatbots. AI is currently being used in domains such as finance, manufacturing, healthcare, automotive, entertainment, security, and in cyber-physical systems, to name a few. As well, large investments are being made in research, development and marketing of AI products, tools and services. There is increasing awareness of AI and its promises, limitations and concerns. To gain dominance in the AI landscape, there is fierce competition among technology giants as well as startups. Ongoing developments in AI and the resulting Read more

Digital Transformation Readiness with Steve Andriole (The Cutter Pod, Episode 001)

 
Digital Transformation Readiness with Steve Andriole (The Cutter Pod, Episode 001)

In this first episode of The Cutter Pod, Cutter Consortium Fellow Steve Andriole outlines his proven methodology for successful corporate digital transformation. Steve has witnessed a lot of digital transformation efforts in the past few years, and he’s culled the lessons learned into a methodology for digital transformation success. Steve begins this podcast by detailing the 5 steps to successful digital transformation. Then he reveals 5 myths that are swirling around digital transformation. For additional information, download Steve Andriole’s paper, Five Steps to Digital Transformation at http://www.cutter.com/5-steps. Music credit: Stuttgart by Portrayal, used under CC BY 4.0 / Sampled from original

 
Dec 192017
 
Capturing Value from Applying Machine Learning to Big Data: A Few Examples 

A specialized piece of artificial intelligence, machine learning, allows computers to learn on their own. In “Why Machine Learning is Crucial to Effective Utilization of Big Data,” Cutter Consortium Senior Consultant Greg Smith and his co-authors explain that machine learning is a specialization within artificial intelligence (AI) that allows computers to learn on their own. Computers are provided a set of rules, rather than explicit programming instructions on what to do, and can then self-train and develop a solution by themselves. With ML techniques, computers iteratively learn from data and also find potential hidden insights in data.  Why is it that machine learning can offer a huge advantage over human intellect? According to Smith,   ML does not rely on human Read more

Dec 122017
 
Don't just say goodbye to the open internet!

Here in the US, the Federal Communications Commission (FCC) is about to vote to end net neutrality. This would break the fundamental principle of the open internet, potentially casting a pall over innovation, political & social discourse, entertainment, and the free press. The FCC votes on December 14th, and Congress can stop it, as they’ve done with other FCC votes in the past. Many of us at Cutter HQ are calling and sending messages (some of us daily!) — why not join us? Here’s a quick video that outlines the big issues: Please message or call your reps in Congress. Ask them to stop the FCC vote! It’s quick and easy. Battle for the Net. Read more

Dec 052017
 
What's in Store for 2018?

As the year winds down, our editorial team is once again curating predictions by Cutter Consortium Senior Consultants and practitioners (like you?) of what will happen in business technology over the next 12 months and beyond. This annual tradition has foretold lots of trends: 8 Kinds of Transformational Initiatives in 2015; A Changing View of Social Media; Mobile + Disruptive Technologies = Killer Apps; Rapid Technology Innovation in Blockchain: Should You Be on the Front Lines?; Secure Collaboration in the Cloud: the End of the Oxymoron; and The Future of Collaboration, to name a few. Last year, we published the 2017 predictions in Cutter Business Technology Journal and also in our free e-letter, The Cutter Edge. (Why not subscribe now? It’s Read more