Today's manufacturing organizations operate in a dynamic environment characterized by increased complexity and uncertainty. The financial performance of manufacturers hinges on their ability to rapidly adapt to constantly-changing conditions, from demand fluctuations to delivery challenges while
Prescriptive analytics helps identify the best course of action that can enable businesses to achieve organizational goals. Although figuring out what you should do is a crucial aspect of business, the value of prescriptive analytics is often missed. There is still an inclination to “go with the
Prescriptive analytics offers healthcare decision makers the opportunity to influence optimal future outcomes. Based on decision optimization technology, these capabilities allow users to not just recommend the best course of action for patients or providers, they also enable comparison of multiple
Today, “doing more with less” is a key principle driving business strategy across many resource-intensive industries. Organisations are looking to get more out of artificial intelligence (AI) and machine learning (ML) than just great insights. They need access to recommendations that help simplify
In today’s environment, seasoned companies who continue to weather the tests of time suddenly demand greater attention. How do they retain their grit and withstand adversity, whether from the COVID-19 pandemic or digital disruption? How much do values play out in their approach to customers, their
IBM Watson OpenScale helps organizations detect and correct AI model bias and drift, explain AI outcomes, monitor model accuracy, analyze payloads, and more. There are algorithms available in open source that provide some of these capabilities. Some of these open source algorithms have originated
Building on a history of collaboration, in April 2017, IBM and HCL entered into a 15-year partnership that merged the best of their shared knowledge and teaming experience to accelerate the product roadmap and innovation of IBM Informix.
HCL is responsible for development and support of the IBM
As data proliferates, the need to efficiently undertand, process, and act quickly for competitive advantage continues to increase. Applications must be able to use data swiftly and adapt as needs change by the week or even the day. Developers also require places to store their data that can handle
Two of the greatest challenges faced by organizations today are the rising volume of data and the lack of confidence to act on the insights this data reveals. Fortunately, there are AI-fueled data management solutions that directly address these two challenges to make data simple and accessible.
As we learn to cope at a personal level with the dynamic development of the COVID-19 outbreak, we are seeing an increasing impact to businesses in every industry. Supply chains are broken, demands are shifting and resources are shrinking. How do you prepare your business for the economic and
IDC’s report, “Choosing the Right Database Technology in the Age of Digital Transformation” highlights the expanse of data management options as well as how that can cause confusion. Having clarity when looking to build new data applications or modernize workloads already in existence is essential