BMC introduced the BMC Helix Cognitive Service Management (CSM) offering, integrating cognitive technologies like artificial intelligence and machine learning into traditional IT service management (ITSM) and transforming every layer of service delivery for end users, agents, and developers.
With BMC Helix Cognitive Service Management, BMC is the first to bring end-to-end CSM built for containerized microservices-based architectures multi-clouds, enabling organizations to transform their service management from reactive to proactive and predictive with the highest level of accuracy and speed.
"Enterprises are undergoing a major transformation in IT as they look to manage and deliver services across multi-cloud, multi-device, and multi-channel environments in a fast and cost-effective way," said Nayaki Nayyar, President of Digital Service Management at BMC. "With BMC Helix, we are helping enterprises address these needs and transform their service management with multi-cloud, containers, and cognitive capabilities."
At the core of the BMC Helix Cognitive Service Management offering are three key attributes:
- Cloud to Multi-Cloud: Delivers everything as-a-service (Remedy-as-a-Service, Discovery-as-a-Service, and Business Workflows-as-a-Service).
- Containers: Runs on customer's choice of multi-cloud, including AWS, Azure, and BMC Cloud.
- Cognitive: Helps enterprises transform from ITSM to Cognitive Service Management with artificial intelligence, machine learning, bots, and virtual agents.
The BMC Helix Cognitive Service Management offering helps enterprises effectively run in the cloud by reducing time and effort of upgrades, derive operational efficiencies, and scale elastically with containers. The offering includes:
- BMC Helix Remedy: Delivers predictive service management through auto-classification, assignment, and routing of incidents; embedded multi-cloud capabilities to broker incidents, changes, and releases across cloud providers.
- BMC Helix Business Workflows: Helps extend 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, SMS, and Skype, allowing technology issues to be addressed proactively in a user-friendly manner.
- BMC Helix Discovery: Available this fall, this helps businesses discover assets and services across on-premise and multi-cloud environments including AWS, Azure, Open Stack, Cloud Foundry, and more.
- BMC Helix Innovation Suite: Cloud-native microservices-based platform that helps companies extend, customize, and integrate through REST APIs.
BMC Helix Cognitive Service Management is the first offering in the new BMC Helix brand family, designed to take enterprises seamlessly into the digital future. With the BMC Helix offering, BMC is bringing cognitive capabilities to the enterprise, deploying advanced machine learning and automation technologies across a family of products designed for today's modern cloud architectures.
BMC Helix Cognitive Service Management is available now with the ability to run on AWS and the BMC cloud. Support for Azure and other clouds will follow.
The Latest
Broad proliferation of cloud infrastructure combined with continued support for remote workers is driving increased complexity and visibility challenges for network operations teams, according to new research conducted by Dimensional Research and sponsored by Broadcom ...
New research from ServiceNow and ThoughtLab reveals that less than 30% of banks feel their transformation efforts are meeting evolving customer digital needs. Additionally, 52% say they must revamp their strategy to counter competition from outside the sector. Adapting to these challenges isn't just about staying competitive — it's about staying in business ...
Leaders in the financial services sector are bullish on AI, with 95% of business and IT decision makers saying that AI is a top C-Suite priority, and 96% of respondents believing it provides their business a competitive advantage, according to Riverbed's Global AI and Digital Experience Survey ...
SLOs have long been a staple for DevOps teams to monitor the health of their applications and infrastructure ... Now, as digital trends have shifted, more and more teams are looking to adapt this model for the mobile environment. This, however, is not without its challenges ...
Modernizing IT infrastructure has become essential for organizations striving to remain competitive. This modernization extends beyond merely upgrading hardware or software; it involves strategically leveraging new technologies like AI and cloud computing to enhance operational efficiency, increase data accessibility, and improve the end-user experience ...
AI sure grew fast in popularity, but are AI apps any good? ... If companies are going to keep integrating AI applications into their tech stack at the rate they are, then they need to be aware of AI's limitations. More importantly, they need to evolve their testing regiment ...
If you were lucky, you found out about the massive CrowdStrike/Microsoft outage last July by reading about it over coffee. Those less fortunate were awoken hours earlier by frantic calls from work ... Whether you were directly affected or not, there's an important lesson: all organizations should be conducting in-depth reviews of testing and change management ...
In MEAN TIME TO INSIGHT Episode 11, Shamus McGillicuddy, VP of Research, Network Infrastructure and Operations, at EMA discusses Secure Access Service Edge (SASE) ...
On average, only 48% of digital initiatives enterprise-wide meet or exceed their business outcome targets according to Gartner's annual global survey of CIOs and technology executives ...
Artificial intelligence (AI) is rapidly reshaping industries around the world. From optimizing business processes to unlocking new levels of innovation, AI is a critical driver of success for modern enterprises. As a result, business leaders — from DevOps engineers to CTOs — are under pressure to incorporate AI into their workflows to stay competitive. But the question isn't whether AI should be adopted — it's how ...
