There’s an increasingly high cost to poor data quality today. Poor customer data costs companies six percent of their total sales, as per a UK Royal Mail study. And, as per IBM, bad data costs U.S. businesses $3.1 trillion per year. As companies transform into data-driven businesses, we witness a sharp interest in data observability.

The Cloud Native Computing Foundation (CNCF) is a non-profit organization dedicated to advancing the adoption of cloud-native technologies and practices. Established in 2015 as a part of the Linux Foundation, the CNCF has become a prominent open-source organization that aims to develop a standardized and vendor-neutral cloud-native stack. The CNCF seeks to enable the use of cloud-native computing for building scalable and resilient applications in dynamic environments.

Thanks so much Meenakshi Srinivasan! We are honored to be chosen over the competition and are excited and looking forward to helping our joint enterprise and cloud-native customers. Thanks to the IBM Consulting team for the joint Proof of Technology and joint GTM team.

If you’re involved in IT Operations, you’ve probably heard of OpenTelemetry. It’s a hot topic in the observability industry, and for good reason. OpenTelemetry is a set of open-source tools and APIs that make it easy to collect telemetry data from your applications and infrastructure. This data can then be used to monitor your systems, troubleshoot problems, and improve performance.

Organizations are on a path to increased and improved digitization, with hundreds of applications, services, microservices and servers running in a multi-cloud or hybrid environment. As IT looks to move away from operations, they are turning to AIOps to ensure compliance, cybersecurity and threat management.

Good people over at Splunk explain that the platform “removes the barriers between data and action, empowering observability, IT and security teams to ensure their organizations are secure, resilient and innovative.” Splunk is a unified security and observability platform that allows companies to go from visibility to action quickly and at scale.

Push came to shove with disruption and innovation during the pandemic. Enterprises started leveraging new technologies to gain competitive advantage, enter new markets, support employees from home and maintain business continuity. As a result, IT is faced with new challenges that are critical for realizing the value of the digital transformation that started and accelerated during the pandemic. To state the obvious, CIOs must manage an IT infrastructure that’s safe, sound and secure.

AIOps, or artificial intelligence for IT operations, uses AI and ML technologies alongside big data, data integration and automation to help make IT operations smarter and more predictive. AIOps has come around as a response to a pressing need for optimizing operations and minimizing risks to the IT infrastructure in the modern IT ecosystem.

It has become cliché to be doing market predictions, but it certainly enables Enterprises to get a pulse on the market, get informed, evaluate and strategize for course correction. My post-pandemic 2021 Predictions, highlighted the coming out party for AI/ML Ecosystem across multiple regulated verticals. My 2022 Predictions discussed the rise of the Data Economy and Data becoming the new source code.

This need for AIOps was simmering conveniently and gradually reaching its threshold when the pandemic suddenly hit the world, pushing organizations into remote work. The sudden, global-scale change raised challenges for IT operations teams to monitor and detect incidents in a distributed environment and maintain cybersecurity and compliance. While the pandemic pushed some organizations into the reality of remote work, others were already on their way to digital transformation.