Global perspective to help you take advantange of the opportunities of the digital age
The objective, experience-based opinion and insight found in Cutter Business Technology Journal gives your organization the skills and vision it needs to address the spectrum of challenges ongoing business model changes and new technologies bring.
Organizations that are transforming to explore the opportunities of digital business must find a way to adapt to hypercompetition and hyperconvergence. Information superiority and digital capital should serve as the strategic foundation for those architecting their digital transformation. In this month’s Cutter Business Technology Journal, our authors explore these concepts in a way that gives readers a truly diverse yet coherent perspective on the subject.
- Information Superiority and Digital Capital — Opening Statement
- Data Doesn’t Matter. Time Matters.
- Information Superiority = Digital Capital?
- Information Superiority and Customer Centricity
- Follow the Digital Trace: Turning Digital Artifacts into Digital Capital
- Achieving Information Superiority: A Framework to Measure Business Operating Model Performance
Today, when everybody wants to disrupt their own or somebody else’s business, and new technologies that let them do it seem to appear almost daily, people with the “capacity to lead” are critical, and nowhere more than in the exploitation of IT. Obvious though this is, recognizing, empowering, and sustaining good IT leaders has been a challenge. People who can think strategically about what, why, and how to deploy technology but have trouble delivering it — and the reverse — fall short as IT leaders. Both skills are needed, and this edition of Cutter Business Technology Journal covers them in great depth.
- The 21st-Century Technology Leader — Opening Statement
- What Every Business Leader Should Know and Do About Digital
- The Digital Leader as Entrepreneurial, Collaborative Adventurer
- Accelerate and Scale Digitization with Lean Leadership Practices
- 12 Lean Habits of the 21st-Century Technology Leader
- How to Step Up Stepping Up: Promoting Guest Leadership for Successful Collaboration
Transitioning to a digital world is front-of-mind for many business executives, yet finding the right path is an ongoing challenge. So we asked Cutter’s team of experts for their insights on some of the technologies, trends, and strategies that will be relevant in 2017 and beyond. In typical Cutter Business Technology Journal fashion, our call produced a wide range of opinions and reflections worthy of consideration as you chart your business technology journey for the new year.
- Technology Trends, Predictions, and Reflections 2017: Opening Statement
- Five Disruptive Technology Clusters
- Rapid Technology Innovation in Blockchain: Should You Be on the Front Lines?
- The IT Scene in 2017
- Cognitive Computing 2017
- Architectural Thinking to the Rescue
- The Future of Collaboration
- AGI: A Threat, an Opportunity, or an Inevitable Unknown for 2017?
- 2017: The Year of Exchanging Technology Hype for Humility and Hard Work
- Process of Things: Ensuring a Successful Connection Between Things
- The Tech-Driven Tech Backlash
- Delivering a Brighter Future for IT Projects
This fintech special issue of Cutter Business Technology Journal (CBTJ) will assist managers in gaining an understanding of the emerging business opportunities and technologies in the financial services domain.
- Fintech and the Digitization of Financial Services — Opening Statement
- Toward Digital Financial Services Ecosystems
- Fintech and Blockchain for Senior IT Managers
- How Digital Is Disrupting the Insurance Sector
- Distributed Ledger, Distributed Consensus, and Their Impact on the Financial Services Market
- Asia’s Payments Revolution
This issue of Cutter Business Technology Journal (CBTJ) is focused on cognitive computing, a term that is similar to, but currently more popular than, artificial intelligence (AI). It refers to all those innovations in computing that are being driven by various types of AI research. Cognitive computing applications can provide superior interfaces that allow computer systems to interact with customers or employees, with the Internet or massive databases, or with computer chips embedded in almost any item you might want to track. The applications, once trained, can talk with people using ordinary language, ask questions, and then provide answers or recommendations.