Posts Tagged 'Cutter-IT-Journal'

Nov 012016
 
Leadership in a Digital World

“Musicians play their instruments. I play the orchestra.” Steve Jobs attributed this quote to a famous conductor in the film Steve Jobs. It’s hard to come up with a more vivid illustration of leadership. It acknowledges that conductors may be less adept at playing instruments than any of the players in front of them — and other instruments not at all — yet they elicit brilliant performances. I have been told by a San Francisco Symphony musician that guest conductors can in a few rehearsals have the orchestra sounding like the orchestras where they are based. Leadership, per Webster, means “the quality of a leader; capacity to lead”. In recent years, the word has become Read more

Aug 102016
 
Call for Papers: Fintech and the Digitization of Financial Services

We are currently in the midst of the Fintech revolution. It is evident that technology is significantly transforming and disrupting the financial services landscape. This presents significant opportunities and challenges for incumbents, start-ups and regulatory bodies. Fintech is evolving, moving beyond simply being the realm of start-up disruptors, with many incumbents now making significant R&D investments and many are collaborating with start-ups. Both interest and investment in Fintech has exploded in the last few years. Fintech, the intersection between finance and technology, has experienced a 67% growth in investment in the first quarter of 2016, with investment reaching $5.3 billion (Accenture, 2016). PwC (2016) report that 83% of financial companies believe that specific aspects of Read more

Jul 212016
 
Call for Papers - Cognitive Computing: The Future Has Arrived!

In the 1980s, everyone got excited about the possibility of artificial intelligence. The excitement grew for a few years and then gradually faded as companies found that it was too hard to build and maintain useful expert systems or natural language interfaces. However, there has been a renewed interest in developing software applications that can interact with people in natural languages, perform complex decision-making tasks, or assist human experts in complex analysis efforts. Today these systems are called cognitive computing systems or machine learning. They rely on research from artificial intelligence laboratories and use new techniques like deep learning and reinforcement which seem to overcome some of the problems that were encountered with earlier AI Read more

May 242016
 
Call for Papers: Business-Driven Digital Transformation

Digital transformation is at the top of many executive agendas and organizations are investing substantial resources to make it happen. While there may be internal benefits such as efficiency gains, the primary driver for digital transformation is the customer. Customers are now in the driver’s seat with high expectations demanding what they want, when they want it, and how they want it – and they will go elsewhere to find it if not satisfied. Years of growth and change have created tremendous complexity and redundancy in large enterprises. This complexity has become more transparent to the customer and so improving the customer experience and achieving true digital transformation requires significant changes to the business and 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

Mar 082016
 
Call for Papers: Can Algorithms be Ethical?

“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

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

Jan 112016
 
Call for Papers: Technical Debt: The Continued Burden On Software Innovation

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

Nov 202015
 

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

Aug 192015
 
Call for Papers: Digital Transformation: Unlocking the Potential

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