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IBM is proud to unveil a new platform, IBM Environmental Intelligence, designed to empower data scientists and application developers with environmental data sets. This platform, currently under public preview, features curated global environmental data from public and commercial data sets, out-of-the box models, and connectors, that align with specific events and generate alerts, supporting data integration into mission critical software and daily operations.

Enterprises across industries are constantly exploring new ways that artificial intelligence (AI) can support business innovation and growth. According to research from IBM, the majority of...

Today we kicked off IBM Think 2024 in Boston with Partner Plus Day, a full day dedicated to our partners who are driving client innovation, business growth and scaling the adoption of transformative technology such as generative AI. It is also the perfect opportunity to reflect on the progress and success of the IBM Ecosystem, more than a year after we introduced Partner Plus, the program that embodies our new era of partner-first collaboration.

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.