As machine learning expands and larger organizations begin deploying across bigger teams, the need to efficiently operationalize becomes critical for enterprises. In our discussions with leading organizations utilizing ML like The RealReal and Uber, we have compiled real-world case studies and organizational best practices for MLOps in the enterprise. Join us for a discussion where we'll explore the benefits of MLOps and discuss when and how t...

While NOAA has achieved local successes in applying AI, a central entity to coordinate activities across NOAA will enable it to more effectively integrate AI in all NOAA’s mission areas. Successful AI integration requires both domain knowledge and modern AI technologies. It requires careful stewardship with domain knowledge since many of the challenges NOAA faces are constrained by physical principles. The NCAI is an essential component...

At Shopify, we have over 1.7 million merchants across over 175 countries, with hundreds of millions of consumers shopping at their stores. We’re focused on leveraging the scale of our data to not only empower Shopify, but to create new experiences for our merchants that are impossible without data. In our daily operations at Shopify, we are highly data informed. Some of the ways we’re leveraging advanced analytics is by building an...

Data quality is of the utmost importance when it comes to actionable insights and model performance. In this presentation, Vinay Malkani, Figure Eight Federal's Chief of Engineering will discuss why quality data is critical, opportunities and challenges associated with data, and how to integrate multiple data sources to produce consistent, accurate, and useful information. Jack Hild, National Geospatial-Intelligence Agency (NGA) Hall of Famer...

Featured Guest Speaker: Anil Kumar, Executive Director and Head of AI Industrialization at Verizon! As companies are looking to leverage cognitive technology, and deploying machine learning models, organizations need to make sure they have the correct people, processes, and technology in place to succeed. In this presentation, Anil will share what AI industrialization is and how Verizon is moving from pockets of AI/ML to AI/ML being implemente...

Far too often, agencies, organizations, and consulting firms are running data and AI projects without taking the right steps to ensure their success. Agile and iterative approaches have become adopted best practices for application development projects, but why don’t we have something similar when it comes to advanced analytics, big data, and AI projects? Without using best-practices approaches that standardize steps for data preparation...

Featured Guest Speakers: Gregory Brown, Vice President of Strategy and R&D, Advanced Technology Group at UPS and Laura Patel, Advanced Analytics Manager at UPS! About Data for AI: The Data for AI Community is geared toward innovative companies pushing the boundaries of what’s possible with Artificial Intelligence and cognitive technologies. This community is focused on the data side of AI including: Data Engineering, Data Preparation...

Claims processing is a time-consuming process. The submitted claim documents have to be manually reviewed and verified for authenticity, while simultaneously digitizing the data and making outbound calls to request applicants for missing information. This makes the entire process inefficient, cumbersome and difficult to align with business priorities. To stay relevant amidst the changing landscape and meet shifting customer expectations, it is...