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
Evolution within security needs to move in a more adaptive direction. The contest between security and intrusion is an arms race like the "Red Queen Hypothesis" — the faster the threat evolves, the faster the response must become, and it is never possible to get ahead of the game.
This Executive Update digs into the working rhythm of an instituted business architecture function. It utilizes PEST (political, economic, social, and technological) analysis and introduces a “5E methodology” to formulate, qualify, and deliver sustainable solutions for change.
Enterprise architecture is a discipline that centers around information and knowledge. EA practice relies heavily on the quality of the information available in regards to the building blocks that comprise the architecture as well as how those blocks are configured and deployed. The discipline also depends on the personal knowledge of the people that create or use these components to understand how well architectures meet the needs of stakeholders and users. Not surprisingly, the EA practice can learn a great deal from knowledge management (KM). However, many KM techniques are either unknown or underutilized within the EA community. In this Executive Report, we examine which KM techniques hold the most value and how architects can apply them.
As we move into the next era of computing, the Internet of Things (IoT) is likely to continue to develop as a serious security challenge. The IoT has been characterized as simply the attachment of diverse devices to the Internet, but it is also the entry point for a much more complex and nuanced issue, as we discuss in this Executive Update.
Knowledge management (KM) and enterprise architecture (EA) are both children of the late 20th century. The fact that they both emerged as distinct disciplines around the same time might suggest that they have a lot to share.
The special properties of nanotechnologies are opening up new possibilities in medicine, electronics, photonics, biotechnology, and a host of other industrial applications.
Clarity, conditions, and constraints must work together to create the right balance of freedom and responsibility for teams. Without appropriate freedom, companies waste the experience, intelligence, and creativity of their employees. Without appropriate responsibility, teams may miss the mark or do foolish things. Conditions make it possible for teams to do work. Clarity and constraints bound autonomy and maintain the balance between freedom and responsibility.
The timing of bringing innovations to market affects the long-term viability of the enterprise. This Advisor calls out this timing issue specifically in order to focus more on opportunity cost, or potential revenue and profit. Creating new sources of revenue is not a mechanical or technical issue. It is a people issue. EA can support or create barriers, or it can help transcend them.