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Machine learning (ML) has become a critical component of many organizations’ digital transformation strategy. From predicting customer behavior to optimizing business processes, ML algorithms are increasingly being used to make decisions that impact business outcomes.

In today’s digital world, organizations are continuously developing, enhancing, upgrading and modernizing Java applications as part of their hybrid cloud strategy. While these are common development activities, they are often wrought with challenges, especially when working with complex enterprise applications that are monolithic, poorly documented or laden with technical debt.

The physics of atoms and the technology behind treating disease might sound like disparate fields. However, in the past few decades, advances in artificial intelligence, sensing, simulation and more have driven enormous impacts within the biotech industry.

A new study by the IBM Institute for Business Value found that surveyed CEOs are facing workforce, culture and governance challenges as they act quickly to implement and scale generative AI across their organizations.

Tech Mahindra, a leading global provider of technology consulting and digital solutions to enterprises across industries, announced they are collaborating with IBM (NYSE: IBM) to help businesses worldwide responsibly accelerate the adoption of generative AI (GenAI). TechM amplifAI0->∞, Tech Mahindra’s suite of AI offerings and solutions, can integrate with the IBM watsonx AI and data platform with AI Assistants to bring new GenAI and governance capabilities to enterprises.