A critical capability to becoming model-driven
Most executives agree that AI models are a key differentiator for their enterprise now and into the future. Yet technology and organizational complexities have stalled their progress to become more model-driven. A critical, often missing, piece that solves these challenges is ModelOps, our sole focus at ModelOp. The benefits of ModelOps include:
Most organizations have gotten a handful of mission-critical models into production through brute force. Being model-driven means scaling this to hundreds, and then thousands, of models consumed 24×7 within production business processes. This requires an industrialized approach, enabled by ModelOps.
Reduced regulatory and business risk
There are a number of well-documented cases where the lack of model governance has resulted in business losses and fines in the hundreds of millions of dollars, and regulators continue to look for ways to exert more oversight on the use of AI models. ModelOp’s governance capabilities allow enterprises to capture and apply policies across the model life cycle (MLC) to ensure they can effectively manage compliance and risk requirements related to analytic models, including bias and explainability.
Increased visibility and transparency
Our proven methodology and process brings together organizational stakeholders around the MLC.
How Your Work Will Be Transformed
Often, the greatest challenge for executives driving a transformation initiative is getting teams across the enterprise to work well together. Being model-driven at scale requires effective collaboration between Data Science, IT, Operations and Business. The capabilities described here – governance, monitoring, process and technology automation – combine to support each of these organizations working together much more effectively, with clear accountabilities, SLAs, and reporting, freeing up the executives responsible for these organizations to focus on driving additional business results from their model-driven transformation.
How ModelOp Is Unique
We accelerate our customers model-driven journey by:
Using proven methodology
Using our proven methodology and process to bring the organizational stakeholders around standard model operations life cycle
Providing an end-to-end solution
ModelOp Center, our core software platform, pre-built integrations, process, reporting, and dashboard templates
Deploying teams of experts
We partner with our customers across multiple disciplines critical to ModelOps success, including data science, enterprise data and IT infrastructure, operations, and business transformation
Speed to value
Focusing on speed to value getting priority models in business to then justify scale-out model operations investments