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.
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By learning to simply recognize complexity when we see it — and learning that we cannot engage with it through reductionism — could save ourselves a lot of pain and allow our efforts to focus on quality, rather than on trying to do the impossible. By seeking to understand complexity instead of hiding it, we can build better-quality software with less stress.
Do not underestimate the pace of evolution of cloud technologies. If no one in the organization watches (and understands) the new cloud delivery technologies, you may choose the wrong one, or you may be misled by a vendor that will fail to mention a better option because the vendor does not offer it.
Many of the principles that were developed for the data warehouse are just as relevant today when considering the evolution to a digital business. Underpinning these principles is the implicit need for the active use and management of a coherent layer of metadata. In discussing the broader digital business, it may help to delineate the various systems and applications that occupy the landscape of such a business.
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.