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
Here in Part VIII, Robin Harwood has invited me to discuss the use of the ADF in a user experience/user journey context, relating some real-world business analysis experiences in its application.
This Executive Update discusses the merits of developing a continuous deployment process for software by combining Agile methods and DevOps. After first looking at the salient characteristics of both techniques, we examine 12 areas of change within the use of Agile methods when developing a continuous delivery and deployment chain. Finally, we discuss why bringing together Agile and DevOps — and the resultant continuous delivery and deployment chain — is truly worthwhile. (Not a client? Download your complimentary copy.)
Here are the Business & Enterprise Architecture articles that garnered the most feedback from Cutter Members and clients in 2018. Look for these lists from each of our four practice areas, and rediscover Cutter's most intriguing articles of the year!
Here are the Data Analytics & Digital Technologies articles that garnered the most feedback from Cutter Members and clients in 2018. Look for these lists from each of our four practice areas, and rediscover Cutter's most intriguing articles of the year!
As part of an ongoing series, in this Executive Update we examine the biggest adoption challenges to organizations’ efforts to utilize artificial intelligence (AI). These impediments include a lack of skilled AI experts, a lack of understanding and identifying use cases, the fact that AI is still an emerging technology, and more.
AI is now being used in the legal field in such areas as research and document management, contract analysis, and e-discovery. Additionally, we are seeing significant developments with commercial AI applications in the form of cloud-based solutions specifically designed for handling such legal needs. These commercial applications, for the most part, are not intended to replace legal practitioners, but rather to assist them in performing various tasks associated with the legal process.
Much effort has gone into convincing various organizations within a government to start producing open data. However, the outcomes of such efforts have merely created a disparate landscape of a few leading — some following, some nonengaging — organizations. Hence, we cannot ignore the importance of the cultural and change management dimension when setting up an open data program.
In this Executive Update, we explore why organizations need data democratization and how they can achieve it.