The Move Toward Simplicity: Why a Single-Vendor Approach to AI-Powered Automation Matters

2 min read

IBM completes Turbonomic acquisition, advancing efforts to create a one-stop shop for AI-powered Automation capabilities.

Automation brings simplicity to work by removing complexity from tasks, processes and decisions. This can help organizations save time and money, while helping their employees reclaim up to 50% of their time to focus on strategic priorities. But as organizations look to automate their entire enterprise — from business operations to IT — there is the possibility that they will complicate their automation efforts by adopting multiple solutions from multiple vendors.

A multi-vendor approach can do the following:

  1. Drive higher costs: Organizations with a multi-vendor approach often pay less for a specific product or service. However, in my experience, they have to invest in additional staff, trainings, systems and operational efforts to implement the solutions — and keep them working.
  2. Turn employees’ focus to maintenance projects vs. innovation: Most vendors create products, solutions or apps that work best together. This means that implementing products from multiple vendors can be complex and time-consuming. An organization will need to ensure that each product is compatible with other parts of its technology infrastructure, as well as monitor and launch updates that may impact performance. This often results in employees’ spending time on upkeep rather than proactive problem-solving and strategic priorities. 
  3. Strain existing, internal resources: It takes time and people to manage multiple vendors — from coordinating internally and across systems, ensuring collaboration among vendors and managing paperwork. 

This is why many organizations are looking to automate their entire enterprise with solutions from a single vendor.

IBM is creating a one-stop-shop for AI-powered Automation capabilities. With the acquisition of Turbonomic, an Application Resource Management (ARM) and Network Performance Management software provider, we will be able to help customers automate their entire enterprise with capabilities like robotic process automation (RPA), AIOps, ARM and process mining.

Turbonomic offers complete full-stack visibility of applications, optimizing application performance and the costs of running the application. Its capabilities also maintain policy compliance and minimize resourcing costs across hybrid cloud environments.

The Turbonomic acquisition complements IBM's recent acquisition of Instana for application performance monitoring and observability and the launch of IBM Cloud Pak® for Watson AIOps to automate IT Operations using AI. Specifically, IBM Cloud Pak for Watson AIOps and Turbonomic will help customers realize the governance, compliance, and cost efficiencies. Integration with Instana will provide complete application observability and automatically ingest and contextualize observability metrics, traces and events for performance. Together, these capabilities will be a powerful application-centric AIOps solution for organizations that are working to meet the demands of their customers. 

IBM is already helping thousands of customers use automation solutions to make IT and business processes more efficient and employees more effective. Learn more about AI-powered Automation and why IBM is the right vendor for you.

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