Strategic advice to leverage new technologies
Technology is at the heart of nearly every enterprise, enabling new business models and strategies, and serving as the catalyst to industry convergence. Leveraging the right technology can improve business outcomes, providing intelligence and insights that help you make more informed and accurate decisions. From finding patterns in data through data science, to curating relevant insights with data analytics, to the predictive abilities and innumerable applications of AI, to solving challenging business problems with ML, NLP, and knowledge graphs, technology has brought decision-making to a more intelligent level. Keep pace with the technology trends, opportunities, applications, and real-world use cases that will move your organization closer to its transformation and business goals.
Recently Published
With this issue of Cutter IT Journal, we aim to bring more perspective to the question of how to digitally transform. All the contributing authors agree that digital transformation will be profoundly complex, but this complexity does not prevent them from bringing useful perspectives to the table and suggesting approaches for how to frame and launch transformation. This issue does not glorify startups, big-bang disruption, or Silicon Valley; it does, however, investigate what lessons incumbents can take from digital natives. It also broadens the scope to include historical framing of the challenge, as well as the authors' rich experience and expertise in working with incumbent organizations.
Our survey findings strongly suggest that the security solutions providers are going to have to develop new technologies and methods to support IoT applications. This includes better threat detection and prevention technologies for embedding within the connected devices themselves as well as for deploying within the networks and platforms intended to manage them and all the data they generate.
A lot has changed in a few years.
When I talked about cloud three years back, I got frownie-faces from my peers. Skeptical looks that belied a deeper-seated fear or trepidation, probably having more to do with their internal image of what a CIO should be than the promise or peril in the new technology.
This Update examines survey findings pertaining to the types of connected devices and IoT applications organizations believe hold the most promise.
One of the descriptions of EA often heard is that it provides a bridge between strategy and implementation. Fair enough, but what does that actually mean?
Companies are developing connected vehicles and transportation applications to enable better management and compliance of consumer, fleet, and urban transit vehicles and associated infrastructure through monitoring and predictive maintenance, and to achieve reduced energy consumption via optimized route planning and delay avoidance. In addition to business needs, government regulations are also driving connected vehicle solutions development to improve the tracking, safety, and servicing of consumer, commercial, public, and emergency vehicles.
Cutter Consortium conducted a survey asking organizations worldwide about their thoughts and plans for the Internet of Things (IoT). Parts I and II of this Executive Update series covered survey findings pertaining to how organizations view the IoT in terms of importance, the current and future status of corporate IoT budgets, whether survey respondents see the IoT living up to all its hype, and the main objectives and goals driving organizations to develop connected devices and applications.
Patterns are incredibly useful in so many situations -- from knitting to economics to software engineering and architecture. Indeed, we can express business operating models and value chains as patterns. The accompanying Executive Report explores business patterns and, in particular, how they inform the work of enterprise architects.