BMC introduced the new AI-driven IT Operations (AIOps) and AI-driven Service Management (AISM) capabilities for the BMC Helix portfolio that will enable IT service and operations teams to predict issues better, resolve them faster, and provide always-on service.
These capabilities are powered by the new BMC Helix Platform, which delivers open, cross-domain engagement, observability, and actionability.
The BMC Helix portfolio seamlessly provides comprehensive, unified IT service and operations management solutions that enable organizations to:
- Work smarter thanks to AI-derived insights that help prioritize and resolve problems quickly and proactively
- Be more productive and efficient through reduced rework and automation of tedious manual processes
- Continuously deliver high-performing digital experiences and uninterrupted service through improved collaboration and visibility across IT service and operations teams
Discover and Connect Assets and Relationships: The new BMC Helix Platform helps enterprise teams, including DevOps, meet their quality, velocity, and compelling experience goals through observability and automation capabilities. It joins IT service and operations teams by providing a common user interface with rich visualization that expands visibility and context, supports cross-launching from one solution to another, and offers configurable automated workflows to free up resources and quickly take corrective actions. These workflows can be used to automate tasks, such as deploying software requested by a user or collecting additional details about an incident for enrichment. Finally, the platform supports rapidly changing environments and keeps them up to date with dynamic service models that ingest metrics, events, and topologies from BMC and third-party solutions.
Streamline Proactive Problem Management: By applying AI-natural language processing to detect clusters of recurring incidents automatically, the BMC Helix solution reduces investigation time significantly by figuring out root cause and other causal impacts and enables a seamless transfer from problem identification to investigation to closure. This capability frees up employees to focus on high-value problem areas, reduce incident management load, and prevent adverse impacts to service performance and availability.
Improve Service Quality with Event Management, Noise Reduction, and Probable Cause Analysis: The BMC Helix solution reduces the amount of time it takes to investigate and resolve groups of incidents by automatically identifying incidents related to the same situation. Users can collect, correlate, and apply intelligence to analyze events based on policies to reduce event noise and better understand the issue. Probable cause analysis can then be used to identify the root cause, allowing teams to resolve issues faster, more accurately, and with less effort.
Increase Service Performance and Availability with Service-Centric Probable Cause Analysis: BMC Helix shows the configuration items and related events that are most likely the root cause of a potential performance or service impact. Users can analyze data and identify a single or group of metrics that are behaving abnormally to trigger events and notifications accordingly.
Gain Real-Time Visibility with Service-Centric Monitoring: BMC Helix gives users the ability to use new, user-friendly visualizations, such as heatmaps and tile views, that show a business service's current state. This real-time view helps teams avoid any potential issues based on trends and increases service performance, availability, and quality.
Implement Advanced Analytics for Service Desk and Change Management Processes: Additionally, BMC Helix identifies areas and opportunities to optimize and drive efficiencies in service desk speed, quality, and resource allocations. It also helps users gain a more comprehensive understanding of change interdependencies and the best ways to implement new services.
Improve Service Assurance and Optimization: Users can dynamically align and continuously optimize infrastructure resources to meet the unique needs of applications and changes in resource demands across applications and services. The BMC Helix portfolio supports Kubernetes, microservices, containers, and pods, as well as private, public, hybrid, or multi-cloud environments.
Deliver Enhanced, Personalized Experiences: The BMC Helix solution set now comes with new personalized dashboards that visualize data about incidents, changes, service requests, chatbot conversations, metrics, events, capacity, and more across IT service and operations management. It includes a flexible, persona-based user interface and user experience that optimizes and maximizes productivity and efficiency.
"We continue to embed AI, analytics, and automation into new and existing offerings to help customers evolve their businesses with better intelligence and decision making so they can prioritize, predict, and act with confidence," said Margaret Lee, GM, Digital Service and Operations Management at BMC. "With BMC Helix, we are empowering our customers to accelerate their journey to becoming an Autonomous Digital Enterprise by continuously delivering high-performing digital experiences, personalized engagement, and uninterrupted service."
BMC Innovation Labs builds upon these BMC Helix offerings by bringing together customers, partners, and employees to accelerate the development of new capabilities and solutions. Incubated in the Innovation Labs, the BMC Helix Edge platform helps customers gain enterprise-wide visibility and actionable insights to manage their IoT/Edge infrastructure and enable next-generation digital business applications for the Autonomous Digital Enterprise.
The BMC Helix, BMC AMI, BMC Compuware, and Control-M portfolios continue to support the technology foundation for an agile, customer-centric, and insights-driven Autonomous Digital Enterprise with recent innovations that help customers:
- Achieve a data-driven business by orchestrating application and data workflows from cloud to mainframe and everything in between
- Deliver a transcendent customer experience through an open AI-driven platform that joins enterprise service and operations management teams
- Embrace enterprise DevOps practices in mainframe environments to deliver and develop code faster
- Apply automation everywhere to reduce and potentially eliminate how long it takes to diagnose a problem through probable cause analysis
- Employ adaptive cybersecurity by uniting mainframe security and IT Operations workflows to detect and respond more quickly to security threats
The Latest
In the heat of the holiday online shopping rush, retailers face persistent challenges such as increased web traffic or cyber threats that can lead to high-impact outages. With profit margins under high pressure, retailers are prioritizing strategic investments to help drive business value while improving the customer experience ...
In a fast-paced industry where customer service is a priority, the opportunity to use AI to personalize products and services, revolutionize delivery channels, and effectively manage peaks in demand such as Black Friday and Cyber Monday are vast. By leveraging AI to streamline demand forecasting, optimize inventory, personalize customer interactions, and adjust pricing, retailers can have a better handle on these stress points, and deliver a seamless digital experience ...
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) ...
