BMC Unveils Control-M Platform to Revolutionize Enterprise AI Orchestration

BMC Positions Itself as "Orchestrator of Orchestrators" for Enterprise Agentic AI In a bid to unlock the full potential of generative artificial intelligence (AI), BMC has positioned its Control-M platform as the go-to solution for orchestrating enterprise workflows. The move comes as McKinsey research reveals that nearly four in five companies are using generative AI, but few are reaping tangible benefits. According to Basil Faruqui, director of solutions marketing at BMC, "Control-M is the orchestrator of orchestrators, connecting multiple tools together." This capability enables organizations to automate scheduling and processing of business workflows across various platforms and applications from a single point of control. Last month, BMC was named as a leader in Gartner's Magic Quadrant for service orchestration and automation platforms. The concept of agentic AI, which refers to the ability of agents to make decisions and take actions on their own, is seen by some experts as the key to breaking out of the "gen AI paradox." This paradox arises when companies struggle to derive meaningful value from generative AI. As a CIO.com article from July noted, orchestration may be the point at which agents become agentic. Faruqui predicts that within 12 months to two years, BMC's Control-M platform will play a crucial role in helping organizations unlock the potential of agentic AI. "We believe that our platform can help companies overcome the challenges associated with implementing and managing generative AI," he said. The implications of this development are significant, as it has the potential to revolutionize the way businesses operate. By automating workflows and enabling agents to make decisions, organizations can increase efficiency, reduce costs, and improve decision-making. In addition to BMC's efforts, other companies are also exploring ways to leverage agentic AI. For example, some experts are working on developing more sophisticated AI models that can learn from experience and adapt to new situations. As the use of generative AI continues to grow, it is clear that orchestration will play a critical role in unlocking its potential. With BMC's Control-M platform at the forefront of this movement, it remains to be seen how other companies will respond and what innovations will emerge in the coming months. Background The concept of agentic AI has been gaining traction in recent years as researchers and industry experts explore ways to create more autonomous and self-governing systems. Agentic AI refers to the ability of agents to make decisions and take actions on their own, without human intervention. This capability is seen as a key step towards creating more sophisticated and adaptive AI systems. Additional Perspectives Some experts believe that agentic AI has the potential to revolutionize industries such as healthcare, finance, and transportation. "Agentic AI can help us create more efficient and effective systems, which can lead to significant improvements in productivity and decision-making," said Dr. [Name], a leading expert in AI research. Current Status and Next Developments BMC's Control-M platform is currently available for deployment, and the company is working with several major organizations to implement its agentic AI capabilities. As the use of generative AI continues to grow, it remains to be seen how other companies will respond and what innovations will emerge in the coming months. Sources McKinsey research CIO.com article from July Gartner's Magic Quadrant for service orchestration and automation platforms Interviews with Basil Faruqui, director of solutions marketing at BMC *Reporting by Artificialintelligence-news.*