Insights

DePaul students and Technology and Business Executives get together for a day of learning, networking, and sharing best practices on the latest in technology innovation and how that is transforming the business world.

Leveraging Large Language Model technologies on proprietary data is not only feasible but can be initiated with the data resources already at hand.

Building an enterprise Generative AI application is a multifaceted process involving strategic planning, robust infrastructure, and iterative development. By focusing on these key components, enterprises can harness the power of Generative AI to drive innovation, efficiency, and growth.

Databricks has long championed a clear mission: democratize data and AI, helping every company transition into a Data + AI enterprise.

For organizations looking to leverage the power of Phi-3, GPT-4o, or DBRX in their specific industry, our team of experts are here to help. Contact us today if you’d like to learn more about integrating these models into your workflows, maximizing efficiency, and achieving your AI-driven goals.

Not all data problems can be solved with AI. Not all AI opportunities should use a foundation model. Not all foundation model use cases should use the most powerful version available.

Becoming a data company is a journey, but the rewards are substantial. Origin can help you navigate this path and unlock the power of data to dominate your market.

The path to composable AI begins by aligning AI capabilities with business outcomes, defining an AI product roadmap, and creating an AI factory

These strategies serve as a solid foundation to successfully integrate AI into enterprise operations positioning them for success.

Achieving value with Data & AI is complex. We believe when you treat data as a product, you can succeed and avoid common setbacks.

There is a tendency to jump to building AI solutions before getting the house in order. Think Big but start small will help increase the success rate.