Fast Track AI models to production.
Imagine being part of an organization where the journey from fully trained ML models to production takes more than 10 days. The challenge is real: while ensuring responsible and trustworthy AI is crucial, adapting swiftly to the ever-changing needs of your business is equally vital.
But here’s a game-changer: ESG recently embarked on a journey with IBM Watson Studio on IBM Cloud Pak for Data. And the results were astounding. From setting up the initial model experiment to testing, verifying, and finally deploying it into production, the entire process took less than 10 minutes.
This isn’t just a story of speed; it’s a story of transformation. It’s about turning complexity into simplicity, hesitation into action, and potential into reality. With Watson Studio, you can have the best of both worlds – swift deployment without compromising the responsibility and trustworthiness of your AI.
At Nexbridge, we understand that channeling AI for your enterprise’s edge requires more than just tools. It requires a seamless ecosystem that empowers your data scientists, developers, and analysts to optimize their decisions. That's where IBM Watson Studio comes in.
Put multicloud AI to work for business. Use flexible consumption models. Build and deploy AI anywhere.
Optimize schedules, plans and resource allocations using predictions. Simplify optimization modeling with a natural language interface.
Unite and cross-train developers and data scientists. Push models through REST API across any cloud. Save time and cost managing disparate tools.
Operationalize enterprise AI across clouds. Govern and secure data science projects at scale.
Reduce model monitoring efforts by 35% to 50%.* Increase model accuracy by 15% to 30%. Increase net profits on a data and AI platform.
Protect against exposure and regulatory penalties. Simplify AI model risk management through automated validation.
Experience the power of Watson Studio through its compelling features:
They enhanced its fraud prevention capacities through improved model risk management and governance, using Watson Studio.
Developed a cutting-edge system, fusing Watson Studio and Watson Machine Learning. With AutoAI at its core, they built an automated end-to-end pipeline, amassing vast data to supercharge predictions and empower clients. Watson Studio
In Pittsburgh based, the second-largest integrated healthcare network in the US, data scientists and researchers saw a novel opportunity: harnessing insurance claims data to build a more effective model for time-critical cases. IBM Watson Studio was a part of the solution that helped monitor models to improve predictions.
Watson Studio is available via several deployment options
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