Artificial intelligence news

Last year, IBM Consulting hosted its first-ever hackathon in collaboration with Microsoft to provide clients with hands-on access to use Azure OpenAI services. The hackathon attracted 500...

IBM (NYSE: IBM) and The All England Lawn Tennis Club today announced a new feature for the Wimbledon digital experience that will leverage match data with generative AI from IBM's AI and data platform, watsonx, to keep fans updated on the world's leading players as they advance through The Championships.

New findings from the IBM (NYSE: IBM) Institute for Business Value revealed that banking and financial markets (BFM) CEOs are facing workforce and culture and challenges as they act quickly to implement and scale generative AI across their organizations.

Rapidus Corporation, a manufacturer of advanced logic semiconductors, and multinational technology company IBM, today announced a joint development partnership aimed at establishing mass production technologies for chiplet packages. Through this agreement, Rapidus will receive packaging technology from IBM for high-performance semiconductors, and the two companies will collaborate with the aim to further innovate in this space.

IBM has signed an agreement to acquire SKYARCH NETWORKS INC. (“SKYARCH NETWORKS”), a Japan-based professional services company specializing in Amazon Web Services (AWS). The planned...

Today, at its annual THINK conference, IBM announced several new updates to its watsonx platform one year after its introduction, as well as upcoming data and automation capabilities designed to make artificial intelligence (AI) more open, cost effective, and flexible for businesses. During his opening keynote, CEO Arvind Krishna will share the company’s plans to invest in, build and contribute to the open-source AI community as a core part of IBM’s strategy.

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.

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.

IBM announced the availability of IBM Copilot Runway, a new offering from IBM Consulting designed to help enterprises create, customize, deploy and manage copilots including Copilot for Microsoft 365.

Today, at ServiceNow’s annual customer and partner event, Knowledge 2024, ServiceNow (NYSE: NOW), the AI platform for business transformation, announced a collaboration with IBM (NYSE: IBM) to help accelerate the impact of generative AI (GenAI) across the enterprise. A new integration will combine the power of the Now Platform with IBM watsonx to help boost productivity for mutual customers and partners. ServiceNow will also incorporate watsonx.ai and IBM Granite foundation large language models (LLMs) into its Now Assist GenAI experience for ServiceNow customers.

IBM and SAP SE announced their vision for the next era of their collaboration, which includes new generative AI capabilities and industry-specific cloud solutions that can help clients unlock business value.

Generative AI holds enormous potential to transform business operations, and our daily lives. But ultimately, AI’s potential hinges on trust. If trust in AI is compromised, it could throttle...

IBM today announced that the availability of its software portfolio is expanding globally to 92 countries in AWS Marketplace, a digital catalog with thousands of software listings from independent software vendors (ISVs) that make it easy to find, test, buy, and deploy software that runs on Amazon Web Services (AWS). The expansion beyond Denmark, France, Germany, United Kingdom and United States, where the software is currently available, will help make procurement easier for clients, streamline purchasing and create new efficiencies, while allowing them to use their AWS committed spend for IBM software purchases.