This graphic was published by Gartner, Inc. as part of a larger research document and should be evaluated in the context of the entire document. Gartner’s newest research highlights four 2020 Cool Vendors in Analytics and Data Science that offer innovative alternatives in the marketplace. Gartner evaluated 17 vendors for their completeness of vision and ability to execute. Gartner Magic Quadrant for Data Science and Machine Learning Platforms, 11 February 2020, Peter Krensky, Pieter den Hamer, Erick Brethenoux, Jim Hare, Carlie Idoine, Alexander Linden, Svetlana Sicular, Farhan Choudhary. We use cookies to deliver the best possible experience on our website. Then Gartner's Magic Quadrant for data science and machine learning platforms is a valuable resource. One example, popularized by the film and book. ©2020 Gartner, Inc. and/or its affiliates. Gartner recently published its magic quadrant report on data science and machine learning (DSML) platforms. Gartner has released its 2020 Data Science and Machine Learning Platforms Magic Quadrant, and we are excited to announce that Databricks has been recognized as a Leader. Apply Save Job Job Saved Job Description: What makes Gartner a GREAT fit for you? There’s no one-size-fits-all answer here. , showed how old ways of evaluating performance in baseball were outperformed by the application of data science. GARTNER is a registered trademark and service mark of Gartner, Inc. and/or its affiliates in the U.S. and internationally, and is used herein with permission. Covid-19 vaccine: Latest updates on Oxford, Moderna and Pfizer breakthroughs - and who will get it first? Learn how to access this content as a Gartner client. A plethora of data science and business intelligence professionals and organizations have asked these questions this century. Common examples include online retailers investigating why customers return goods despite prices being unmatched, deliveries being on time and quality being good, or manufacturers running open investigations into quality fluctuations. One recent example is that of Zurich Insurance, which reduced the inefficiencies around handling injury claims by using an artificial intelligence (AI) solution to fully automate injury report assessments. It achieved this by using analytics to identify high-performing players who other teams had overlooked using traditional methods, and therefore acquired their services at a relatively low cost. Trend #2: Augmented data management For example, data scientists at a Japanese maritime services provider realized that when providing their traditional services for ship classification, they were collecting a valuable store of data that had great potential in other areas. Analyst house Gartner, Inc. has released its newest research highlighting four emerging solution providers that data and analytics leaders should consider as compliments to their existing architectures. The Gartner report defines a data science platform as “A cohesive software application that offers a mixture of basic building blocks essential for creating all kinds of data science solution, and for incorporating those solutions into business processes, surrounding infrastructure and products.” Read more about SAS customers that are benefiting from machine learning. As this technology develops, there will be more citizen data scientists.” Gartner predicts that, by 2020, citizen data scientists will surpass data scientists in the amount of advanced analysis they produce, largely due to the automation of data science tasks. This allowed the organization to quickly increase its market share by 20% when offering this value-added service to customers. Fig 3: Gartner Magic Quadrants for Data Science and Machine Learning Platforms compared for 3 years, 2017, 2018, 2019 Alteryx improved on ability in both years but remains a challenger. Es gibt einen großen Hype um künstliche Intelligenz, Machine Learning und Data Science. Geht die Prognose der Analysten von Gartner auf, dann werden schon in drei Jahren 40 Prozent der heute von Data Scientists angegangenen Aufgaben automatisiert abgewickelt.