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
Leveraging AI in Government
Artificial intelligence (AI) is moving into public sector agencies — at both the state and federal levels — for use in such general applications as compliance, records management, community development, and finance, among others. Governments are also applying, or researching the use of, AI for other applications, including optimizing access to services and analyzing and predicting the likelihood of environmental disasters. This Advisor provides some examples of some of the many government research efforts underway that are intended to advance AI’s capabilities beyond its current limitations.
An awareness of granularity and context in analytics is vital for creating value to the business. In this Advisor, I focus on understanding the degree of granularity of analysis and how organizations can incorporate granularity in their analytical solutions.
Cutter Consortium is conducting a survey on how organizations are adopting, or planning to adopt, artificial intelligence (AI) technologies. We also seek to identify important issues and other considerations they are encountering or foresee encountering in their efforts. In addition to gathering and analyzing survey data, I have been interviewing leaders and practitioners from different organizations implementing or working to implement AI applications. Here, in Part VI, we jump right into where we left off and continue examining industries that AI is expected to disrupt.
Building Antifragile Systems
In this Advisor, we propose that by architecting for antifragility, businesses can gain real agility and deliver systems with a higher level of quality.
If the Shoe Fits: AI in Retail
Companies are turning to machine learning, computer vision, robotics, and other AI technologies to revitalize the retail shopping experience and boost customer experience and business benefits — both online and offline. But it is the new, cutting-edge, AI-driven applications under development that are most interesting — holding the promise of opening up new business models and possibly disrupting the retail sector.
In this on-demand webinar, Cutter Consortium Senior Consultant Whynde Kuehn reveals how, through the combination of business architecture and CX design, organizations can gain more insight into where and how to align and transform their business models so they can focus on the ongoing needs of their customers while driving organizational efficiencies.
If there is one measure that can drive an organization toward agility, it is the shift to deadline-driven smaller projects. Simply put, we recommend defining smaller projects (that can relate to each other to build a bigger project) and focusing on the deadline — not just on the results. This is part of the skill of project management with a drive to flexibility. The key idea: it is better to have 90% ready this month, on time, than 100% ready next month, which is too late.
This article gives us the complete context of what governance means, considering the data lifecycle (create, store, use, etc.) and the cognitive hierarchy of data, information, knowledge, understanding, and wisdom. The authors also look at the elements contained in a formal data model and what these elements tell us about the governance actions that need to be taken when data is accessed, modified, or deleted.