Business process mapping: A framework for visualizing internal processes

Business process mapping definition Business process mapping is a framework that helps companies create visual representations of processes within the organization. Mapped processes can include products, software, services and even the onboarding or offboarding of employees. Organizations also use this framework to improve current processes or to map out and brainstorm new ones. Process mapping…

How COVID-19 is changing the IT hiring process

The COVID-19 pandemic has dramatically changed how companies do business almost overnight, forcing a shift at most organizations to across-all-ranks remote and virtual work. But what hasn’t changed as substantially is the need to attract, recruit and hire top IT talent. The pandemic’s full impact on IT hiring remains to be seen, but unemployment for…

Real-time analytics: 4 success stories

For companies seeking value from data as it flows into data systems, real-time analytics is the way to go. This emerging discipline blends technology and processes to help enterprises improve internal workflows or to provide insight into customer activities and marketplace trends as they unfold. Real-time analytics strategies provide business agility, whether they are outfitted…

IBM retrains Watson AI for IT operations

IBM CEO Arvind Krishna has a new assignment for Watson, the company’s AI software: working in IT. Best known for its roles as an advisor to oncologists and sometime quiz show contestant, Watson is now being pressed into service diagnosing and solving enterprise IT infrastructure problems, making it one of a growing number of tools…

12 tips for machine learning training

To make decisions more quickly and accurately, enterprises are increasingly turning to machine learning, arguably today’s most practical application of AI. Machine learning systems apply algorithms to data to glean insights into that data without explicit programming: It’s about using data to answer questions. As such, companies are applying machine learning to a wide array…