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
In this Advisor, we explore the concept of itamae and the role of leadership on the road to agility.
Clearly, if your bit of code must talk to a database over here and a Web server over there, then a bit of architecture goes a long way.
Here in Part II, we examine findings pertaining to the establishment of detailed strategies for enterprise adoption and dissemination of AI across the organization, status of “chief AI officers," and budgeting for AI.
We have been confronted for nearly two decades with a dual data storage and processing landscape, supported by two very distinct scenes of tool vendors and products. Nowadays, we see a complete convergence of the operational and tactical/strategic data needs of the corresponding data integration tooling. This evolution poses interesting challenges to the landscape of data storage and data integration solutions.
Executive Update
What’s the Value of Your Data? The Agile Advantage
In this Executive Update, we recommend some Agile techniques and best practices that retain the benefits of a central EDW while reducing the expense and lack of responsiveness to business needs and change. This data-focused approach offers a way to define user stories in a complex EDW architecture, addressing both application and information value to users and delivering a data warehouse that provides high-quality information and is resilient to change.
Executive Update
Sustainable Cloud Computing: Foundations and Future Directions
In this Executive Update, we devise a conceptual model and practical design guidelines for the holistic management of all resources (e.g., servers, networks, storage, cooling systems) to improve energy efficiency and to reduce the carbon footprints in cloud data centers (CDCs). Furthermore, we discuss the intertwined relationship between energy and reliability for sustainable cloud computing, where we highlight the associated issues. Finally, we propose a set of future areas to investigate in the field and propose further practical developments.
In an ongoing Cutter Consortium survey covering the adoption and application of AI technology, we asked organizations about their plans for using AI-as-a-Service platforms and services.
In this Update, I delve deeper into the importance of the level at which analytics are performed — in particular, the need to pay attention to two keywords: granularity and context. In the absence of awareness of granularity and context, analytics may not provide the necessary value to the business and, as a result, increase business risks.