Artificial intelligence news

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**

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.