Posts Tagged 'big data'

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

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

Mar 282016
 
Call for Papers: Big Data Analytics Success Hinges on the Four "Ps" — Preparation, People, Prediction, Production

Analytics — deep, predictive, operational, (insert preferred flavor here) — has climbed to the top of business executives wish lists in the past few years. The explosion of big data from social media sources and the coming supernova from the Internet of Things promises complete understanding of customer needs as well as the prediction/influencing of future behavior. With sufficient data, best of breed algorithms, faster computers, and emerging deep learning approaches — statistical correlation will become a largely exact science. Understanding causation will become an unnecessary luxury. Welcome to the analytics nirvana. Of course, inspiration and implementation often diverge. The day-to-day practicality of big data analytics continues to raise ongoing challenges. The “P-words” — preparation, people, prediction, and production point Read more

Feb 092016
 
Call for Papers: IoT Data Management and Analytics

The Internet of Things (IoT) is rapidly emerging as a transformational paradigm with a multitude of products and services now available and being adopted by corporations as well as individuals seeking to harness the vast opportunities it offers. But we do face a major obstacle in realizing the full potential of the IoT. The sheer variety, volume and velocity of data generated by the IoT presents unprecedented challenges in deriving meaningful and actionable insights and calls for a strategic approach to data management and usage. These approaches also need to address business strategies, business processes, enterprise architecture, systems and applications, and security and privacy considerations. It is also important to examine and decide what data Read more

Here Comes the Big Data

 Posted by on Dec 16, 2014  No Responses »
Dec 162014
 

About two decades ago I thought I had a handle on big data. I was doing some data warehousing work with a telephone utility that had about 100 million transactions. That was a lot of data, I said to myself. Then, about 10 years ago, I was doing a review of a firm that audited financial trading on one of the major stock markets and I asked its big data guy how many transactions the company processed. His initial answer was, “On a slow day we get about 2.5 billion transactions.” “How many do you have on a busy day?” I asked with an air of shock. “4 or 5 billion,” he responded. Now that Read more

Mar 242014
 

Two of Cutter’s Agile experts are teaching public workshops in the Denver area March 31 – April 3. Don’t miss your chance to work with Hubert Smits and Lynn Winterboer, both of whom are highly knowledgeable, engaging, and successful trainers. So successful, in fact, that 98% of Hubert’s courses enjoy a 98% pass rate on the CSM test! If you’re in the Denver area, this is the perfect time for you to earn the key certifications to qualify you to act as Scrum Master and/or Scrum Product Owner on Scrum teams. And if you’re not in the area, what better excuse to head to the beautiful state of Colorado? Get the details and register here. Read more

Dec 172013
 
IoT, Big Data, Mobile Apps, Drones to Impact Privacy & Security

Here are my predictions for 2014: 2014 will bring exponential expansion and evolution of the Internet of Things (IoT). This will also bring new opportunities for information security trailblazers unlike any we’ve seen before. The potential benefits of the IoT will be huge, but just as large will be the new and constantly evolving information security and privacy risks. We will see some significant privacy breaches resulting from the use of IoT devices as a result. New IoT risks, and resulting security incidents and privacy breaches, will bring a significant need for technology information security pros to also understand privacy concepts so they can implement privacy protections within all these new devices, and into the Read more

Summit 2013 Gems

 Posted by on Nov 5, 2013  No Responses »
Nov 052013
 

In case you couldn’t make it to this year’s Cutter Summit, here are a few of the nuggets from yesterday. And if you are here in Cambridge, MA, feel free to add some of your own in the comments!

Oct 152013
 

The amount of data available to organizations to analyze and use in decision making is exploding. “Big Data” is all the rage and organizations of every size from every industry are struggling to make valuable use of the information available from their operational systems, business partners, and social networks. Organizations, seeking to respond quickly in an ever-changing marketplace, are hungry for current and useful information about their ecosystems. Data Warehousing and Business Intelligence (DW/BI) teams are working as fast and hard as they can to meet this ever-increasing demand with limited resources and time. Fortunately, DW/BI teams who embrace an “agile” approach are finding they can meet the top priority needs in short time frames Read more

Welcome Aboard, Lynn!

 Posted by on Sep 14, 2013  No Responses »
Sep 142013
 

How appropriate it is that Lynn Winterboer is joining Cutter just about at the time that we publish the Cutter Benchmark Review on Achieving an Agile Organizational Mind. With Lynn on board, we have another heavy hitter who applies the values, methods and practices of ‘traditional’ Agile to data, data warehousing, and business intelligence. The importance of so doing in the era of big data can’t be overstated. Just about every Cutter client I meet is struggling to extract meaning from the data he/she possesses. Needless to say, extracting meaning in an Agile manner constitutes an important competitive capability. Between the ‘old hands’ in the practice and the recent additions of Professor Giancarlo Succi, Sue Read more