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Technology is advancing faster than ever. But new technology leads to new complexity.

Worldwide IT Spending on software is expected to exceed $1 trillion in 2024*. When this is combined with AI and modern development practices, it could fuel a growth in the number of cloud-native applications from 531.3 million in 2024 to over 1 billion by 2028**

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.

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.