South Korean memory chipmaker SK Hynix was part of TIBCO’s design and beta testing program for ModelOps: “As the world’s second-largest memory chipmaker, we have aggressive growth goals as we expand our fabrication capacity. The product features model performance observability options through customizable Spotfire dashboards, and TIBCO says that problems are addressed before automation failure occurs, ensuring more safety and security of deployment. The company asserts its ModelOps uses low or no-code tooling and is suitable for all users to manage and deploy models, whether they are data scientists or analysts, IT or business users, with total governance and management capabilities. TIBCO surveyed its own customers and found that many organizations are managing hundreds or even thousands of analytic models and workflows. Governed models can be added to the company’s other solutions such as its Spotfire analytics platform, its on-demand Data Virtualization tool, or its streaming analytics platform, TIBCO Streaming. TIBCO says its ModelOps solution “aids AI teams in confronting critical deployment hurdles like ease-of-applying analytics to applications, identification and mitigation of bias, and transparency and manageability of an algorithm’s behavior within business-critical applications.” The product is format-agnostic and supports all common model formats, whether in the cloud or on premises, including API-based models. This is a bold step to enabling business users to take AI out of the lab and out on the road.”ĪI operations teams are tasked with building and managing AI models into production environments quickly and efficiently, but problems can arise, especially with large scale projects. “This allows decision-making teams to choose the algorithm they want, work from any cloud service, and run it safely, securely, and at scale. To help organizations realize the value of their AI deployments, we’ve designed a system that puts self-service access to data science firmly in the hands of teams, including business users,” said Mark Palmer, senior VP of engineering, TIBCO. “While 92% of firms spent more overall on data science in 2021 compared to previous years, only 12.1% deployed it at scale. The Palo Alto-based company cited a 2021 survey from NewVantage Partners that showed a majority of surveyed companies are spending more on their AI initiatives, yet very few have deployed models on a large enough scale for tangible business value or problem solving. Data management firm TIBCO has unveiled its new TIBCO ModelOps platform designed to enable faster deployment of AI models at scale.

Tibco data model