Palo Alto Networks acquires IBM QRadar SaaS assets: Strengthening joint AI security solutions and next-generation security operations to prevent threats at scale

2 min read - Today, Palo Alto Networks announced the completion of its acquisition of IBM's QRadar Software as a Service (SaaS) assets, strengthening the companies’ strategic alliance and paving the way for more organizations to benefit from our joint next-generation security operations and AI-powered solutions. The security industry is at a turning point in which AI will transform businesses and drive business growth; however the ever-growing threat landscape continues to challenge teams to adapt. In the recent IBM Cost of a Data Breach Report,…

Bringing your own custom foundation model to IBM watsonx.ai

3 min read - Since its release in July 2023, IBM® watsonx.ai™ AI studio has been enabling businesses to train, validate, tune and deploy AI models. With its cutting-edge generative AI (gen AI) and machine learning (ML) features and capabilities, watsonx.ai is designed to help businesses capitalize on the opportunities of generative AI and foundation models. It also enables them to mitigate risks and drive trust, performance and flexibility of artificial intelligence (AI) outcomes. IBM's approach to AI is based on four core pillars:…

IBM recognized as a Leader in 2024 Gartner® Magic Quadrant™ for Finance and Accounting Business Process Outsourcing 

3 min read - As the finance and accounting (F&A) industry continues to evolve, the need for efficient and effective business process outsourcing (BPO) solutions has become increasingly important. Gartner forecasts that spending on F&A BPO services will show a compound annual growth rate of 6.0% over the period of 2022 to 2027 to reach USD16.9 billion in 2027. In this rapidly changing landscape, it is essential for organizations to stay informed about the latest market trends and insights to make informed decisions about…

How the IBM watsonx platform breaks down barriers to generative AI adoption

5 min read - As businesses explore the potential of generative AI, they’re also at an increased risk of complications from complex data environments, a limited number of workers with AI skills and AI governance frameworks that holistically consider all compliance requirements (such as internal policies and procedures, industry standards like NIST AI and regulations). Although these challenges are similar to those of past AI technologies, generative AI demands even more specialized skills, including management of large, diverse data sets and the ability to…

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