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
Traditional analytics is generally restricted to merely providing a better understanding of historical data or predicting future business outcomes. Consequently, the potential of traditional analytical processes is limited as they only offer insights and patterns based on data provided but they lack the ability to offer or make business recommendations. Prescriptive analytics, however, is substantially different and more powerful because it allows businesses to not only make predictions but also suggests an optimal solution.
This Advisor considers the impact of the Internet of Things (IoT) on traditional business and technology architectures and introduces the role of EA as an effective methodology for developing and implementing IoT strategies.
Here in Part III, we begin to explore what type of process might be employed at a business analysis level when using the ADF, starting with an examination of some ADF activities and thinking about the inputs, steps, and outputs produced. We then delve into how business analysis fits into the ADF for the early and continuous delivery of valuable system capabilities.
Core computer vision and imaging technologies include facial recognition, image recognition, character recognition, medical image recognition, video analysis, and autonomous driving visioning systems. Organizations are now applying such core vision and image recognition technologies to enhance a myriad of applications across many industries.
While cash still has its place in society, we cannot ignore the growing digitization of money. If digital forms of commerce simplify users’ lives and make it easier for customers to get what they want, when they want it, we can expect to see a much more rapid migration toward merchant mobile applications.
This Advisor offers a model that identifies the big data capabilities needed to connect data analysis with a specific business context and to do it quickly.
In this Advisor, we provide a database perspective on business continuity. Starting from a contingency plan, we elaborate on various single points of failure: availability and accessibility of storage devices, availability of database functionality, and availability of the data itself.
This article discusses the Industrial Internet along with the IoT applications and domains that are most likely to benefit from edge computing.