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
Posts Tagged 'call-for-papers'
“We are rushing headlong into the robotics revolution without consideration for the many unforeseen problems lying around the corner. It is time now to step back and think hard about the future of the technology before it sneaks up and bites us when we are least expecting it.” – Noel Sharkey, Foundation for Responsible Robotics One of the more vexing issues of Sharkey’s robotics revolution requires hard thinking – whether or not the computing algorithms that underpin it are “ethical.” For example, what path should a self-driving car be programmed to take in the event it finds itself in a situation where it may either have to crash into a bus stop full of school Read more
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
Technical debt is like the family secret that no one wants to talk about. Everyone knows that it exists, it’s awful, and it makes life miserable for everyone affected by it. However, people are often unable or unwilling to confront it. The simplest explanation of technical debt is the increasing burden created with each decision to cut corners when coding software. The greater the pressure to deliver software, the greater incentive to cut corners. The more corners cut in the past, the harder it is to deliver new software value in the future. Technical debt imposes significant business costs. In an era of digital transformation, organizations respond more slowly to threats and opportunities. What little Read more
The role of enterprise architecture and the enterprise architect has steadily grown in scope and in importance over the last two decades. Although many EA teams operate as part of the IT department, others are taking a more active position as they help to inform and guide strategy planning, investment and transformation at the enterprise-level. We have reached a stage where EA, as a discipline, is well-established within many enterprises as a core capability. But increasingly the boundary of “enterprise” architecture is extending beyond organizational boundaries. The domain of the enterprise architect is changing, as more and more “enterprise” architecture components are sourced externally. Social and environmental architectures are as important to an enterprise architecture Read more
Cutter IT Journal Call for Papers — with Guest Editor: Stijn Viaene — Abstract Deadline: September 9, 2015 — The combination of new digital technologies such as Social, Mobile, Analytics (Big Data), Cloud and Internet of Things gave rise to digital disrupters such as Uber, Airbnb and PayPal. However, from an incumbent perspective, an unrealized potential to transform existing businesses and industries remains. Many observers have identified a significant gap between incumbents’ recognition of the importance of new digital technologies currently at their disposal and their understanding of how to optimally exploit them. This signals that many questions surrounding digital transformation are left unanswered and even unidentified. Some organizations are experimenting with digital innovation labs, Read more
The uncertain future of cloud computing seems to have stabilized among IT leaders with the acceptance of Infrastructure as a Service (IaaS). IaaS is here to stay in many organizations, especially smaller firms and startups, and will be the dominant form of corporate IT infrastructure in the coming years. With the breaking of Moore’s Law (at least for the foreseeable future and with regard to silicon-based computing), IaaS may provide everyday computing cost benefits thanks to the efficiencies large scale dedicated vendors can provide. But many organizations, most notably the larger and more conservative companies, are still on the fence about moving their infrastructure to an IaaS model. IaaS can be deployed in different models Read more