Global disruptions are forcing large manufacturers to modernize outmoded, inflexible IT infrastructure. But to do so successfully, IT leaders must show that this effort is not merely a technology “refresh” but a strategic action to unlock business value and sustain long-term growth. IT leaders can use “business value” as the key criterion for guiding infrastructure…
The manufacturing edge is the hardware and software constellation on the plant’s premises. It encompasses the full range of end point devices and often a localized data center for storing data and running analytics, monitoring, and other applications. But organizations are implementing edge strategies that do not consider AI and GenAI requirements. The results are…
Manufacturing IT leaders now can leverage technological advances that enable Microsoft AI assistants to become a human-friendly interface to shopfloor systems. Machine operators, mechanics, technicians, and safety inspectors can talk to a specialized GenAI Microsoft copilot in natural and native language. The copilot responds – via voice or text – in the same language, with…
Manufacturing IT leaders are working to overhaul aging, rigid supply chains, with global geopolitical events adding still more urgency to that task. Priorities include: Optimizing demand planning tools to better forecast demand changes Reducing lag time in responding to supply chain disruptions Automating tasks from manufacturing to logistics Generative artificial intelligence (GenAI) capabilities can help…
IT leaders have long been aware of the benefits that data interoperability creates, both internally and with external healthcare entities. Yet despite years of work and regulatory mandates, today’s healthcare ecosystem is still marked by data trapped in stand-alone systems. But there’s good news. Cloud computing and services can play a pivotal role in helping…
Certain healthcare organizations have been slow to embrace cloud computing despite its proven benefits, largely due to security concerns. But cloud caution will also likely hinder the healthcare sector’s adoption of Generative AI (GenAI) applications. Healthcare IT leaders can make a business case to optimize the organization’s cloud and GenAI investments to enable GenAI applications.…
In pharmaceutical and life sciences companies, data is vast, diverse, and growing. It includes such varied forms as clinical trial data, genomic sequences, assay biology, electronic health record (EHR) data, regulatory and compliance information, and much more. Without a unified data foundation, this vital data remains siloed and fragmented, hindering collaboration, innovation, and insights in…
Healthcare providers have a clear and urgent requirement: they want payers to process authorizations, claims, and payments quickly and accurately. They have been long burdened by cumbersome, outdated data submission and bureaucratic processes. But healthcare payer IT leaders are saddled with big, expensive, and lengthy change processes – both on provider portals and on the…
Healthcare providers face formidable challenges in applying AI capabilities to patient care. Efforts to do so are testing the current regulatory framework. For example, the U.S. Food and Drug Administration (FDA) is actively involved with stakeholders to create relevant policies that facilitate AI innovation while protecting patient safety. Healthcare IT leaders can begin using AI…
The market for enterprise applications grew 12% in 2023, to $356 billion, with the top 5 vendors — SAP, Salesforce, Oracle, Microsoft and Intuit — commanding a 21.2% market share between them, according to International Data Corp. “With just 0.2% of market share separating SAP and Salesforce, IDC regards these two companies as statistically tied…