Teradata and DataRobot have announced a partnership to integrate the DataRobot AI Platform with Teradata VantageCloud and ClearScape Analytics. This integration aims to help enterprises maximize their AI potential by providing greater optionality and flexibility for building and scaling safe and effective AI models. The functionality is available through ClearScape Analytics' Bring Your Own Model (BYOM) capability. With this integration, more users across the enterprise will have access to advanced analytics, allowing for scalable AI operationalization. Teradata VantageCloud allows enterprises to deploy DataRobot AI models at scale, in the same environment where the data resides. Users of VantageCloud and DataRobot can access models built in the DataRobot AI Platform from within VantageCloud using BYOM. This includes importing DataRobot models into VantageCloud for inferencing at scale using ClearScape Analytics' model scoring functions. The partnership between Teradata and DataRobot empowers businesses to accelerate their AI journey with flexibility, optionality, and rapid speed, enabling them to move from experimentation to deployment safely and with confidence. [99225dd4]
A study conducted by Forrester Consulting reveals that Teradata's ClearScape Analytics has led to a significant rise in profitability for its customers. The study evaluated conclusions drawn from interviews with a North American healthcare organization, which reported over $5 billion in yearly revenue and a workforce exceeding 25,000. ClearScape Analytics has provided several benefits to the organization, including improved data science operations, a 50% increase in time saved for the data science lifecycle, and a tripling of the number of models handled by data scientists. The healthcare organization witnessed a return on investment (ROI) of 244% over three years, with a payback period of under 6 months for the ClearScape Analytics investment. ClearScape Analytics also led to over $125 million in profit from models and a surge in email open rates from 2% to 46%. Prior to deploying ClearScape Analytics, the healthcare organization faced challenges in scaling its AI/ML models, managing model drift, updating feature banks, and understanding which AI/ML work would provide genuine business value. ClearScape Analytics helped mitigate these obstacles, improved customer service, halved the team's workload, and resulted in a three-fold increase in the number of models developed. Jacqueline Woods, Teradata's Chief Marketing Officer, emphasized the transformative potential of ClearScape Analytics in delivering capabilities at scale and empowering organizations with autonomy and seamless access to real-time insights. The study also highlighted that ClearScape Analytics was cheaper, faster to implement, and easier to justify to internal security and IT stakeholders compared to other options. The TEI methodology devised by Forrester aims to improve technology decision-making processes and help vendors articulate the value proposition of their products and services to clients. [4bda0137]
Acante, a leading provider of data security and access governance solutions, has launched Acante Data Access Observer, a solution that offers automated and consolidated visibility into data accesses within Databricks environments. The solution allows customers to identify sensitive data, map access privileges, track data flows, and detect data leakage. It also provides out-of-the-box compliance reports. The co-founder of Acante, Dhruv Jain, highlighted the simplicity of deploying the solution, which requires just five minutes to run a single notebook. The solution is free forever for Databricks users and monitors up to three catalogs and thirty days of access audits at a time. [1195fe96]