Meet us at
When & Where
10-13 June
Moscone Center,
San Francisco
Booth No: #33
10-13 June
Moscone Center,
San Francisco
Booth No: #33
10-13 June
Moscone Center,
San Francisco
Booth No: #33
Tredence's deep expertise in data modernization, powered by the Databricks Data Intelligence Platform, enables customers to democratize insights using natural language and build AI into their own data, making it easier for customers to accelerate their data modernization programs.
Principal Software Engineer,
T-Mobile
Chief Business Officer, TMT,
Tredence Inc.
The Unity Catalog provides a unified and centralized solution for managing access control and lineage across all datasets present in various Databricks Workspaces within an organization. In this session, you will learn how T-Mobile and Tredence migrated datasets used as inputs for AI/ML use cases from the Hive Metastore to the Unity Catalog and enhanced the existing Data Ingestion process to create objects in the Unity Catalog.
Senior Director, Partner
Development, Tredence Inc.
Senior Director, Data Engineering,
Tredence Inc.
Senior Vice President, Generative AI
Tredence Inc.
Unity Catalog is the bridge to unlock advanced analytics and GenAI use cases on the Databricks Data Intelligence platform. During this talk, you’ll understand how Tredence UnityGo! removes the complexities of manual migrations and appreciate how simple solutions are often the most powerful.
Director of Analytics & Innovation,
Medical Affairs, Vertex Pharmaceuticals
Vertical Delivery Head, Healthcare
and Life Sciences, Tredence Inc.
The client had access to rich, disparate, unstructured data sources. Insight identification was manual and labor-intensive to identify patterns in HCP sentiment. Build an NLP platform that uses unstructured data from sources like Scopus, Pubmed, and Snowflake to provide insights. The platform extracts data using the Medallion architecture, feeds multiple models, and generates reports based on use cases. The platform also performs feature engineering, leveraging JSL & LLM models for key word extraction and text summarization. Visualization of text using NLP, JSL, and LLM models is being developed for improved searchability and relationship identification in a question-answer bot.Value: NLP models in Databricks are utilized to cleanse and maintain data from MSL and medical sources, providing valuable insights for client strategy and medical affairs teams.
Create business value at scale by democratizing insights and fostering strategic decisions powered by Generative AI
Accelerate business value from data sharing with Databricks Unity Catalog and Tredence UnityGO!
Expedite data migration by 50%, cut costs by 40%, and fast-track AI/ML adoption with migration accelerators
Leverage 140+ AI/ML accelerators to transform your business and gain unprecedented insights and impact
Tredence's deep expertise in data modernization, powered by the Databricks Data Intelligence Platform, enables customers to democratize insights using natural language and build AI into their own data, making it easier for customers to accelerate their data modernization programs.
Principal Software Engineer, T-Mobile
Chief Business Officer, TMT,
Tredence Inc.
The Unity Catalog provides a unified and centralized solution for managing access control and lineage across all datasets present in various Databricks Workspaces within an organization. In this session, you will learn how T-Mobile and Tredence migrated datasets used as inputs for AI/ML use cases from the Hive Metastore to the Unity Catalog and enhanced the existing Data Ingestion process to create objects in the Unity Catalog.
Senior Director, Partner
Development, Tredence Inc.
Senior Director, Data Engineering,
Tredence Inc.
Senior Vice President, Generative AI
Tredence Inc.
Unity Catalog is the bridge to unlock advanced analytics and GenAI use cases on the Databricks Data Intelligence platform. During this talk, you’ll understand how Tredence UnityGo! removes the complexities of manual migrations and appreciate how simple solutions are often the most powerful.
Director of Analytics & Innovation,
Medical Affairs, Vertex Pharmaceuticals
Vertical Delivery Head, Healthcare
and Life Sciences, Tredence Inc.
The client had access to rich, disparate, unstructured data sources. Insight identification was manual and labor-intensive to identify patterns in HCP sentiment. Build an NLP platform that uses unstructured data from sources like Scopus, Pubmed, and Snowflake to provide insights. The platform extracts data using the Medallion architecture, feeds multiple models, and generates reports based on use cases. The platform also performs feature engineering, leveraging JSL & LLM models for key word extraction and text summarization. Visualization of text using NLP, JSL, and LLM models is being developed for improved searchability and relationship identification in a question-answer bot.Value: NLP models in Databricks are utilized to cleanse and maintain data from MSL and medical sources, providing valuable insights for client strategy and medical affairs teams.
Create business value at scale by democratizing insights and fostering strategic decisions powered by Generative AI
Accelerate business value from data sharing with Databricks Unity Catalog and Tredence UnityGO!
Expedite data migration by 50%, cut costs by 40%, and fast-track AI/ML adoption with migration accelerators
Leverage 140+ AI/ML accelerators to transform your business and gain unprecedented insights and impact
Endorsed by Hyperscalers and Validated by
Independent Analysts
Chief Business Officer,
Retail
Chief Business Officer,
CPG
Chief Business Officer & Head of Financial Services & Insurance
Chief Business Officer,
Healthcare & Life Sciences
Chief Business Officer,
Telecom, Media and Technology
Chief Alliance Officer
Chief Business Officer,
Retail
Chief Business Officer,
CPG
Chief Business Officer
& Head of Financial Services & Insurance
Chief Business Officer,
Healthcare & Life Sciences
Chief Business Officer,
Telecom, Media and Technology
Chief Alliance Officer
