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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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.
In Part VII, we continue to illustrate the concept of “assurance” for ADF artifacts and how it might be implemented using verification and validation. We make reference to a set of example artifacts and propose a more detailed assurance layer, which implements the ADF assurance view and reflects the ADF perspectives and views discussed thus far in this series.
We hope the insight provided in this issue gives you an enlightened perspective on the current and future cloud computing market and the guidance required to make well-informed decisions on the strategies and technologies that will provide your organization a competitive edge.
This article tries to take a very pragmatic viewpoint about cloud computing: what are the things we have learned? What do most reasonable analysts and users now agree on, as opposed to questions to which the jury is still out? What should you spend time worrying about, and what should you consider settled, for good or for bad? Finally, with various lessons learned, what should you educate your managers or clients about, so they don’t waste their time or yours?
A truly successful digitization project will change a company to its core. Thus, product-to-service transformation is probably the best example of the pervasiveness of digital technologies.
In this article, we draw attention to the benefits of including a mechanism for the wholesale trading of contracts in delivering cloud services to mirror that of delivering electricity. Plus, we argue that it is possible for the cloud market to avoid the plethora of mistakes experienced in the many deregulated wholesale electricity markets globally. We also detail features from certain electricity markets that have led to attractive market attributes, such as increased competition, price transparency, and increased resilience to external shocks. Moreover, we leverage the analogy to explain how we can replicate such features for a global IaaS cloud computing market.