July 19, 2022

TIBCO’s ModelOps Takes AI Models Out of the Lab and Onto on the Road

Data management firm TIBCO has unveiled its new TIBCO ModelOps platform designed to enable faster deployment of AI models 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.

“While 92% of firms spent more overall on data science in 2021 compared to previous years, only 12.1% deployed it 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. “This allows decision-making teams to choose the algorithm they want, work from any cloud service, and run it safely, securely, and at scale. This is a bold step to enabling business users to take AI out of the lab and out on the road.”

AI 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. 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. 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 surveyed its own customers and found that many organizations are managing hundreds or even thousands of analytic models and workflows. 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. 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.

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. Optimizing the yield of our processes, predicting when problems are about to occur, and fixing them before they occur, is a huge competitive advantage for us,” said InSoo Ryu, technical leader, SK Hynix. “The ability to quickly deploy, measure, and adjust models of any kind – machine learning models, python code, rules and more—is essential to our success. TIBCO ModelOps is the right platform to scale our data science efforts with a more governed, process-oriented approach to data science operationalization.”

This chart shows the process of the ModelOps workflow. Click to enlarge. Source: TIBCO

TIBCO also released a master data management SaaS solution, TIBCO Cloud EBX. Cloud EBX users can manage their corporate data, including master data, reference data, and metadata, from anywhere. “The solution is part of TIBCO Cloud Passport, a new consumption-based pricing plan, which enables flexible FinOps (financial operations) and access to all TIBCO SaaS capabilities under a single model. This allows companies to quickly scale their MDM needs without operational complexity,” the company said.

Additionally, TIBCO has announced a significant expansion of its TIBCO Cloud Integration iPaaS product which it says broadens capabilities for integrating applications, data, devices, or other digital assets across hybrid environments. Much like the emphasis on speed seen with ModelOps, Cloud Integration can help businesses accelerate and simplify their application development to stay ahead of the competition.

“It’s essential for organizations to focus on data to overcome today’s many business challenges. Properly leveraging data can empower businesses to turn those challenges into opportunities,” said Randy Menon, senior vice president and general manager, Connect and TIBCO Cloud, TIBCO. “TIBCO Cloud delivers scalable, adaptable solutions that drive integration between all systems, operations, and processes. Together, we enable our customers to unlock the power of real-time data.”

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