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
How do end-user organizations feel about the potential for AI to disrupt their particular industries and lines of business? An ongoing Cutter Consortium survey that asked 62 organizations about their efforts to adopt and apply AI technology helps provide some insight into this question.
The three challenges described in this Advisor represent those that Agile teams face when attempting to follow enterprise architecture (EA)-level planning and design documents as well as the issues faced by Agile teams when transitioning their products to the operations team.
IT portfolio management is the continuous process of selecting and managing the optimum set of project-oriented initiatives to deliver maximum business value.
By putting the science of numbers, data, and analytical discovery to work we can find out if our assumptions about what is contained in the data are only opinion or truly fact.
In this Executive Update, we explore how digital technologies will play a pivotal role in driving superior passenger experience as well as operational excellence in the journey toward smarter, safer, greener, more secure, and more sustainable airports of the future.
By implementing a service platform, our case study company combined complementary capabilities and resources from its existing business with insurtech capabilities — an essential part of the digitization of the insurance company.
AI, in all its various forms — machine learning (ML), natural language processing (NLP), speech recognition, cognitive systems, intelligent agents, chatbots, and robotics — is generating intense interest across every industry. In effect, AI has sparked what can only be described as an explosion in technological innovation worldwide — innovation that is going to accelerate throughout the foreseeable future.
Endowing the old change management frameworks with the additional dimensions of technology and innovation could help change a company’s course. Along with process, people, leadership, and business, a new-age digital change management framework (DCMF) should emphasize developments in technology and innovation as well.