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BMC Expands Cognitive Partnership with BMC Helix and IBM

BMC expanded its partnership with IBM, building upon a cognitive collaboration introduced in 2017, where AI technologies from IBM Watson were seamlessly integrated into BMC Helix, BMC's cognitive service management solution.

The BMC Helix solution is expanding with the addition of an insight engine from IBM and additional clouds of choice, including the IBM Cloud.

"The most powerful outcome of BMC Helix is choice," said Nayaki Nayyar, President, Digital Service Management at BMC. "With BMC Helix, you gain the ability to choose the cloud that you want, and by combining the power of IBM Watson, deliver cognitive service experiences of the future."

With the addition of an insight engine from IBM, BMC is extending and enriching the cognitive capabilities of the BMC Helix solution, by delivering cognitive insights across structured and unstructured federated knowledge bases for customers and significantly improving their service experiences. By offering BMC Helix on the IBM Cloud platform, enterprises can run BMC Helix on their cloud of choice – including IBM Cloud, Azure, AWS, and BMC Cloud – significantly improving operational efficiencies to deliver speed, scale, and cost savings.

"As enterprise adoption of AI accelerates and clients look to multi-cloud for flexibility and agility, it's critical that organizations have the ability to leverage Watson across all of their data, whether that data lives in private clouds, public clouds, or on-premises IT environments," said Beth Smith, GM, IBM Watson. "Our partnership with BMC will empower organizations to use IBM's AI and hybrid cloud capabilities to derive insight from their data and transform their service management operations."

With new support for IBM Cloud, BMC will enable enterprises to transform ITSM into cognitive service management in the cloud of their choice and leverage the power of containers to provide a scalable and elastic service platform that simplifies the management of their increasingly complex IT environments. The BMC Helix solution is expected to be available for the IBM Cloud later this year.

At the core of the BMC Helix Cognitive Service Management offering are three key attributes, including cloud, containers, and cognitive capabilities. The offering includes:

- BMC Helix Discovery: Helps businesses discover assets and services across on-premises and multi-cloud environments.

- BMC Helix ITSM: Delivers predictive service management through auto-classification, assignment, and routing of incidents; includes embedded multi-cloud capabilities to broker incidents, changes, and releases across cloud providers.

- BMC Helix Business Workflows: Enables extension beyond IT to lines of business like HR, facilities, and procurement.

- BMC Helix Digital Workplace: Provides omni-channel conversational experiences for end users beyond web to Slackbot, Chatbot, SMSbot, and Skypebot.

- BMC Helix Platform: Offers a cloud-native microservices-based platform that helps companies extend, customize, and integrate through REST APIs.

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BMC Expands Cognitive Partnership with BMC Helix and IBM

BMC expanded its partnership with IBM, building upon a cognitive collaboration introduced in 2017, where AI technologies from IBM Watson were seamlessly integrated into BMC Helix, BMC's cognitive service management solution.

The BMC Helix solution is expanding with the addition of an insight engine from IBM and additional clouds of choice, including the IBM Cloud.

"The most powerful outcome of BMC Helix is choice," said Nayaki Nayyar, President, Digital Service Management at BMC. "With BMC Helix, you gain the ability to choose the cloud that you want, and by combining the power of IBM Watson, deliver cognitive service experiences of the future."

With the addition of an insight engine from IBM, BMC is extending and enriching the cognitive capabilities of the BMC Helix solution, by delivering cognitive insights across structured and unstructured federated knowledge bases for customers and significantly improving their service experiences. By offering BMC Helix on the IBM Cloud platform, enterprises can run BMC Helix on their cloud of choice – including IBM Cloud, Azure, AWS, and BMC Cloud – significantly improving operational efficiencies to deliver speed, scale, and cost savings.

"As enterprise adoption of AI accelerates and clients look to multi-cloud for flexibility and agility, it's critical that organizations have the ability to leverage Watson across all of their data, whether that data lives in private clouds, public clouds, or on-premises IT environments," said Beth Smith, GM, IBM Watson. "Our partnership with BMC will empower organizations to use IBM's AI and hybrid cloud capabilities to derive insight from their data and transform their service management operations."

With new support for IBM Cloud, BMC will enable enterprises to transform ITSM into cognitive service management in the cloud of their choice and leverage the power of containers to provide a scalable and elastic service platform that simplifies the management of their increasingly complex IT environments. The BMC Helix solution is expected to be available for the IBM Cloud later this year.

At the core of the BMC Helix Cognitive Service Management offering are three key attributes, including cloud, containers, and cognitive capabilities. The offering includes:

- BMC Helix Discovery: Helps businesses discover assets and services across on-premises and multi-cloud environments.

- BMC Helix ITSM: Delivers predictive service management through auto-classification, assignment, and routing of incidents; includes embedded multi-cloud capabilities to broker incidents, changes, and releases across cloud providers.

- BMC Helix Business Workflows: Enables extension beyond IT to lines of business like HR, facilities, and procurement.

- BMC Helix Digital Workplace: Provides omni-channel conversational experiences for end users beyond web to Slackbot, Chatbot, SMSbot, and Skypebot.

- BMC Helix Platform: Offers a cloud-native microservices-based platform that helps companies extend, customize, and integrate through REST APIs.

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Deloitte found that 74% of enterprises expect to deploy agentic AI solutions in the next 24 months. However, the rush to deployment is outpacing foundational work, though. Only 21% of enterprises have fully formed agent governance models in place. The result? AI agents deployed without guidance or governance begin to function as fragmented islands of complexity ...

Cloud spending is no longer viewed as a passthrough IT expense, but as a strategic financial lever that directly impacts innovation capacity, profitability and enterprise resilience, according to the CFO Cloud Cost Optimization Report from Azul ...

As AI moves from generating responses to performing actions, the need for trust increases exponentially. And as organizations enlist AI agents for increasingly sophisticated business processes, trust is going to be the single most important theme for spurring adoption. What can organizations do to build trustworthy AI agents? ...

I've spent a lot of time in the channel, and one thing I keep coming back to is this: a partner program is only as good as what it looks like in the field. Many programs look great on paper, but when a partner is in front of a customer navigating a complex hybrid environment or trying to make the case for AI-powered observability, the gap between what a vendor promises and what it actually delivers becomes very clear, very fast ...

Enterprises today operate in a real-time environment where uninterrupted access to trusted data has become a baseline expectation for users, applications and automated systems. Traditional DataOps models, built on manual effort and human triage, cannot keep pace with this always active demand. AI agents are emerging as the operational backbone, ensuring consistent data availability, reinforcing trustworthiness and enabling a level of scale that manual processes cannot achieve ...

For decades, trust in the digital workplace rested on familiar signals. We trusted faces on video calls, voices on the phone, and emails that appeared to come from people we knew. These cues felt human and intuitive. They anchored how decisions were made, approvals were granted, and access was authorized. AI-powered deepfakes have quietly broken that model ...

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Over the past few years, large language models (LLMs) have revolutionized the software industry. Given their ability to excel at multi-step reasoning, LLMs have helped enterprises streamline workflows and adapt to the unknown. However, employing such models comes with sky-high costs, latency issues, and limited flexibility. In the realm of IT operations, it is generally wiser to employ smaller, domain-specific models instead ...

For years, DevOps teams operated under a simple assumption: collect enough telemetry, and you can find and fix any problem. That assumption is breaking down. Modern enterprises now operate across microservices, hybrid cloud environments, APIs, Kubernetes, and highly automated delivery pipelines. Releases happen continuously, dependencies shift constantly, and failures spread faster than teams can diagnose them ...