Financial planning and analysis leaders use this publication to evaluate how accelerated analytics innovation drives change and which innovations are most applicable to their business. The Hype Cycle for Financial Analytics 2021 report provides financial planners and analysts with an assessment of the maturity, adoption, and future direction of financial analytics. The report aims to help organizations understand how digitization is accelerating the need for experimental data science and machine learning initiatives, and what evolving trends are supporting the productization of these technologies to support business outcomes. One of the latest additions to the Gartner Hype Cycle for Emerging Technologies, the Hype Cycle for Data Science, and the Hype Cycle for Machine Learning 2021, provides insight into emerging trends in data science and machine learning (DSML) that can be used to help inform decision-making. Datatron featured publications for the 2021 round of Gartner Hype Cycles Hype Cycles are used by many organizations as a way of identifying emerging trends across different technology areas, as well as being able to plan for those.
These periodicals from the world’s leading information technology research and advisory company cover a variety of technologies, including artificial intelligence (AI), blockchain, analytics, big data, and cloud computing. The Hype Cycle represents the maturity, business value, and future direction of specific technologies or products. Mature your AI/ML program with one decision.
This expertise from the trenches of AI/Ml translates into having solved many known ModelOps problems, and many that enterprise organizations are struggling to solve.Īll of this experience in enterprise production environments formed Datatron’s 3-pillar approach of operationalizing AI reliably: Datatron’s founder was an early team member who was instrumental in the development of the model for “Surge” pricing at Lyft and Stories at SnapChat, in addition to being early at Twitter. While this nascent industry is a flurry of AI/ML model monitoring and governance upstarts, Datatron is one of just three companies with enterprise clients in production. This recognition came as a result of the platform’s industry-standard methodology and consistent, high-quality service delivery. The platform’s expanded capabilities for model management and model monitoring, as well as its ability to link and support multiple DSML platforms, were recognized by Gartner. Datatron is a tool that helps operationalize machine learning workflows. Datatron has been named in three of Gartner’s Hype Cycles for 2021, along with four of their AI innovation insight publications.