BMC, dealing in software solutions that enable business faster than humanly feasible, announced upgrades to its Control-M and BMC AMI portfolios that use AI advancements to streamline workflow development, automate problem solving, act on expert mainframe knowledge, and more.
By enabling individuals with business expertise to create and oversee complex workflows utilizing natural language with generative AI, BMC keeps bridging the gap between IT and business users.
Organizations can capture domain expertise that is frequently inadequately recorded or lost in translation by transferring automation ownership from IT to business practitioners. AI Workflow Creator conducts the heavy lifting and creates a workflow based on business users’ intent.
Faster workflow creation onboarding for new users and increased productivity for experts are made possible by this AI-powered workflow orchestration, which unlocks previously unheard-of operational agility and efficiency.
Enterprise apps, databases, cloud services, RPA platforms, and collaboration tools are all included in the Control-M solution’s vast library of pre-installed integrations. New integrations are introduced on a monthly basis. AWS Bedrock, Google Vertex AI, and Crew AI are recent additions that enable practitioners to coordinate several AI agents for intricate, AI-focused workflows.
Teams can effortlessly grow their AI initiatives and drive innovation by using Control-M to orchestrate AI agents. The capacity to translate events into instantaneous, automatic action has become a corporate necessity as data volumes increase and systems become increasingly event-driven.
Organizations may react in real time to business and data events with Control-M’s Event Driven Workflows feature. Control-M may now automatically initiate or modify workflows in response to events from systems like Kafka, Amazon SQS, and RabbitMQ.
This makes it possible for dynamic, event-aware orchestration, which lowers latency and increases agility in contemporary data and application pipelines.
This feature, which works with both Control-M self-hosted and SaaS settings, bridges the gap between batch and real-time processing for quick response and more intelligent operations.
Leaders must have reliable knowledge on hand at all times as firms deal with increasing workloads, complexity, and pressure to implement change more quickly without interfering with vital systems.
BMC AMI Assistant’s Knowledge Expert Chat feature, which is free for licensed users of nine BMC AMI development and operations products, incorporates AI-driven coaching.
Teams solve problems more quickly, lessen knowledge bottlenecks, enhance system performance, and preserve service reliability by providing concise, natural-language responses based on BMC documentation and in-depth domain expertise, all without switching tools or depending on a small number of experts.
The Knowledge Hub feature in BMC AMI Assistant fills a rising skills and knowledge gap as systems get more complicated, complementing the Knowledge Expert Chat feature.
The Knowledge Hub functionality, which is already accessible to eligible clients in controlled beta, will allow enterprises to uncover dispersed institutional knowledge and make it available in AI-driven interactions.
This promotes more confident modernization decisions, enhances operational resilience, closes skills gaps, and lessens reliance on individuals.