BMC Aims to Dominate Enterprise AI with "Orchestrator of Orchestrators" Strategy

BMC Positions Itself as Orchestrator of Orchestrators for Enterprise Agentic AI In a move to capitalize on the growing trend of agentic artificial intelligence (AI), BMC, a leading provider of IT solutions, has positioned its Control-M platform as the "orchestrator of orchestrators" for enterprise-level AI. This strategic shift comes as McKinsey research reveals that nearly four in five companies are using generative AI, but few are seeing tangible benefits. According to Basil Faruqui, director of solutions marketing at BMC, the company's Control-M platform enables organizations to automate scheduling and processing of business workflows across various platforms and applications from a single point of control. "We see Control-M as the orchestrator of orchestrators, connecting multiple tools together," Faruqui explained in an interview. BMC's move into agentic AI is timely, given the growing recognition that orchestration is key to unlocking value from generative AI. As a recent CIO.com article noted, some experts believe that the orchestration function marks the point when agents become agentic – capable of making decisions and taking actions on their own. The company's Control-M platform has been recognized as a leader in Gartner's Magic Quadrant for service orchestration and automation platforms. BMC's push into agentic AI is part of a broader trend, with many organizations seeking to harness the power of AI to drive business outcomes. As McKinsey notes, the gen AI paradox – where companies struggle to translate AI adoption into tangible benefits – highlights the need for more effective approaches to AI implementation. By positioning Control-M as an orchestrator of orchestrators, BMC is betting that its platform can help organizations overcome this challenge and unlock the full potential of agentic AI. While some experts caution that the development of agentic AI raises important questions about accountability and transparency, others see it as a necessary step towards creating more autonomous and efficient systems. "The future of work will be shaped by our ability to harness the power of AI," said Faruqui. "We believe that Control-M is well-positioned to help organizations navigate this shift." BMC's move into agentic AI marks an important milestone in the development of enterprise-level AI solutions. As the company continues to invest in research and development, it remains to be seen how its platform will evolve to meet the needs of a rapidly changing market. Background: Agentic AI refers to systems that can make decisions and take actions on their own, without human intervention. McKinsey's research highlights the growing adoption of generative AI, but notes that few companies are seeing tangible benefits from this technology. Additional Perspectives: Industry experts note that BMC's move into agentic AI is part of a broader trend towards more autonomous systems. "As AI becomes increasingly prevalent in business, we're going to see more emphasis on orchestration and automation," said one expert. Current Status and Next Developments: BMC's Control-M platform has been recognized as a leader in Gartner's Magic Quadrant for service orchestration and automation platforms. The company continues to invest in research and development, with a focus on expanding its agentic AI capabilities. In the next 12-18 months, BMC plans to release new features and functionality that will enable organizations to more effectively harness the power of agentic AI. As the market continues to evolve, it remains to be seen how BMC's platform will adapt to meet the changing needs of businesses. *Reporting by Artificialintelligence-news.*