Skip to content
Tiatra, LLCTiatra, LLC
Tiatra, LLC
Information Technology Solutions for Washington, DC Government Agencies
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact
 
  • Home
  • About Us
  • Services
    • IT Engineering and Support
    • Software Development
    • Information Assurance and Testing
    • Project and Program Management
  • Clients & Partners
  • Careers
  • News
  • Contact

Composite AI: The trifecta that is transforming AIOps

When it comes to the different types of artificial intelligence (AI), 1+1+1 can equal more than three. Composite AI combines causal, predictive, and generative AI to supercharge AIOps, reducing mean time to resolution (MTTR) from hours or days to minutes. Composite AI provides explanations of root causes in plain language and often automatically fixes issues before they grow into giant headaches for IT.

First, a brief description of these three types of AI:

  • Causal AI analyzes data to infer the root causes of events. For example, if a company’s e-commerce website is taking too long to process customer transactions, a causal AI model determines the root cause (or causes) of the delay, such as a misconfigured load balancer.
  • Predictive AI can identify potential issues before they become problems, such as identifying a load balancer misconfiguration that, while it may not affect transaction processing time during normal loads, will result in long delays during a big event such as Black Friday.
  • Generative AI (genAI) is based on large language models (LLMs) that enable the technology to understand text and generate explanations for IT in plain language. GenAI can even create working code.

The result of this combination is that instead of working with myriad disconnected tools that only provide insight into their own specific silos — applications, networking, endpoints, and so on — composite AI enables AIOps to provide holistic visibility across the entire environment. So, when an application goes down, instead of having to compare different reports from different tools and then parse out the root cause on your own, AIOps analyzes data across these different functions to provide IT with a succinct explanation in natural language that any IT admin can readily understand.

Plus, composite AI can do more than just point to the root cause; it can also provide actions and even the exact code that will address the issue. Even better, AIOps can learn from past events to predict problems before they occur and, in many cases, automatically fix them without any human intervention at all.

Increase uptime and reduce MTTR

The BMC Helix platform uses composite AI to provide exactly these benefits to IT and does so in a safe and secure way. BMC uses pre-trained LLMs to customize training for IT operations and service management (ServiceOps) domains. These models draw on BMC’s extensive expertise and are trained on organizational IT data and are far less susceptible to “hallucinations” in AI terms. The results are composite AI solutions that can identify, address, and explain root causes and emerging future problems accurately.

AI trained on biased data may produce unreliable results. Building on this key understanding, BMC Helix continually learns from customer data — topology, events, metrics, incidents, tickets, and more — to provide an ever more insightful and predictive view of the environment. This customer data, however, remains on customer systems.

“AIOps brings in a neutral, well-informed, well-educated expert that can learn from your data and past experiences to enable IT to fix issues faster — often before users ever notice a problem,” said Margaret Lee, senior vice president and general manager of Digital Service and Operations Management, BMC Software.

In the end, composite AI enables AIOps to provide even more insightful predictions, more accurate root cause analysis, and broader, higher resolution observability of the environment.

Ultimately, what matters most is composite AI enables IT to provide exponentially better performance and greater uptime to customers.

Address your IT service delivery challenges with the most effective composite AI solution. Visit here for more information or contact BMC.


Read More from This Article: Composite AI: The trifecta that is transforming AIOps
Source: News

Category: NewsSeptember 9, 2024
Tags: art

Post navigation

PreviousPrevious post:4 steps toward integrating genAI into DevSecOps processesNextNext post:GenAI use cases that deliver on promises

Related posts

휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
May 9, 2025
Epicor expands AI offerings, launches new green initiative
May 9, 2025
MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
May 9, 2025
오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
May 9, 2025
SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
May 8, 2025
IBM aims to set industry standard for enterprise AI with ITBench SaaS launch
May 8, 2025
Recent Posts
  • 휴먼컨설팅그룹, HR 솔루션 ‘휴넬’ 업그레이드 발표
  • Epicor expands AI offerings, launches new green initiative
  • MS도 합류··· 구글의 A2A 프로토콜, AI 에이전트 분야의 공용어 될까?
  • 오픈AI, 아시아 4국에 데이터 레지던시 도입··· 한국 기업 데이터는 한국 서버에 저장
  • SAS supercharges Viya platform with AI agents, copilots, and synthetic data tools
Recent Comments
    Archives
    • May 2025
    • April 2025
    • March 2025
    • February 2025
    • January 2025
    • December 2024
    • November 2024
    • October 2024
    • September 2024
    • August 2024
    • July 2024
    • June 2024
    • May 2024
    • April 2024
    • March 2024
    • February 2024
    • January 2024
    • December 2023
    • November 2023
    • October 2023
    • September 2023
    • August 2023
    • July 2023
    • June 2023
    • May 2023
    • April 2023
    • March 2023
    • February 2023
    • January 2023
    • December 2022
    • November 2022
    • October 2022
    • September 2022
    • August 2022
    • July 2022
    • June 2022
    • May 2022
    • April 2022
    • March 2022
    • February 2022
    • January 2022
    • December 2021
    • November 2021
    • October 2021
    • September 2021
    • August 2021
    • July 2021
    • June 2021
    • May 2021
    • April 2021
    • March 2021
    • February 2021
    • January 2021
    • December 2020
    • November 2020
    • October 2020
    • September 2020
    • August 2020
    • July 2020
    • June 2020
    • May 2020
    • April 2020
    • January 2020
    • December 2019
    • November 2019
    • October 2019
    • September 2019
    • August 2019
    • July 2019
    • June 2019
    • May 2019
    • April 2019
    • March 2019
    • February 2019
    • January 2019
    • December 2018
    • November 2018
    • October 2018
    • September 2018
    • August 2018
    • July 2018
    • June 2018
    • May 2018
    • April 2018
    • March 2018
    • February 2018
    • January 2018
    • December 2017
    • November 2017
    • October 2017
    • September 2017
    • August 2017
    • July 2017
    • June 2017
    • May 2017
    • April 2017
    • March 2017
    • February 2017
    • January 2017
    Categories
    • News
    Meta
    • Log in
    • Entries feed
    • Comments feed
    • WordPress.org
    Tiatra LLC.

    Tiatra, LLC, based in the Washington, DC metropolitan area, proudly serves federal government agencies, organizations that work with the government and other commercial businesses and organizations. Tiatra specializes in a broad range of information technology (IT) development and management services incorporating solid engineering, attention to client needs, and meeting or exceeding any security parameters required. Our small yet innovative company is structured with a full complement of the necessary technical experts, working with hands-on management, to provide a high level of service and competitive pricing for your systems and engineering requirements.

    Find us on:

    FacebookTwitterLinkedin

    Submitclear

    Tiatra, LLC
    Copyright 2016. All rights reserved.