Artificial Intelligence
Productivity Engineering with Snowflake and SharePoint: Building Smarter AI Assistants
December 16, 2024
Our Snowflake-certified experts are committed to your success. From strategic planning to implementation, optimization, and deploying AI/ML use-cases, we provide a comprehensive suite of consulting services designed to maximize your investment. Let us guide you through every step of your data journey, ensuring seamless integration, performance, scalability, and results.
Make the most of your Snowflake experience with our four-week engagements.
Begin your Snowflake journey right with best-in-class advice and implementation of account security, access controls, and data governance delivered by strategy and Snowflake experts.
With our market leading ML and Snowflake expertise, we can implement your ML vision in Snowflake using in Cortex, Snowpark ML, or Snowpark Container Services.
Build trust in your data pipelines. With git integrations, the Snowflake CLI, and a host of partner technologies, we can build ironclad DataOps into your business.
Don't let your ML workloads languish on personal laptops. Aimpoint Digital can help you develop & productionalize your ML in Snowflake, centered around functionality such as workbook scheduling, tasks, Feature Store, and Model Registry.
Samantha has a background in computational analytics, machine learning, regression, simulation, and visualization. She is SnowPro Core Certified and holds several advanced Alteryx certifications. Prior to joining Aimpoint Digital, Samantha worked on various projects spanning the industries of healthcare, public policy, finance, and sports.
Christopher is a Snowflake Data Superhero with extensive experience in business intelligence and advanced analytics, data modeling, and data platform training. He leads the Aimpoint Digital Snowflake UK channel and contributes to the Snowflake community through Frosty Fridays and presenting technical content online and at conferences.
Rollin has broad experience in data strategy and operations and has worked in large, global organizations. His background is focused on supporting and leading overall data strategy, data monetization, and structural and organizational components, along with enabling teams to identify insights, deliver analytics, and develop solutions.