All Rights Reserved. Gartner attempted to stack rank the vendors based on a well-defined criterion. I cover Cloud Computing, Machine Learning, and Internet of Things, An Executive's Guide To Understanding Cloud-based Machine Learning Services, Why AutoML Is Set To Become The Future Of Artificial Intelligence, IBM Brings Watson AI To The Private Cloud And Rival Public Cloud Platforms, How IBM Cloud Paks Enable Enterprises To Modernize Their Workloads, DataRobot Puts The Power Of Machine Learning In The Hands Of Business Analysts, Why You Should Consider Google AI Platform For Your Machine Learning Projects, EY & Citi On The Importance Of Resilience And Innovation, Impact 50: Investors Seeking Profit — And Pushing For Change, Michigan Economic Development Corporation BrandVoice, International Institute of Information Technology (IIIT-H). Auto-WEKA does this using a fully automated approach, leveraging recent innovations in Bayesian optimization. The current ML PaaS based on Azure ML looks promising. It provides full automation of essential, yet time-consuming activities in predictive model construction, such as fast variable selection, variable interaction modeling, and variable transformations or best model selection. Janakiram is a Google Certified Professional Cloud Architect. He is an Ambassador for The Cloud Native Computing Foundation. When it manages to bring parity between Cloud AI platform and on-prem AI platform based on Anthos, Google has the chance to become a leader. Organizations can boost revenue by creating an environment that functions at optimum efficiency. What’s common among these vendors is their proven track record of delivering end-to-end data science platforms. She writes Tech/Business articles for Analytics Insight. Gartner recently published its magic quadrant report on data science and machine learning (DSML) platforms. Weka is tried and tested open-source machine learning software that can be accessed through a graphical user interface, standard terminal applications, or a Java API. Oracle announced its Cloud Data Science Platform last week. Anaconda is a focused data science company that offers both open source and commercial platforms. Janakiram MSV is an analyst, advisor and an architect at Janakiram & Associates. Through his speaking, writing and analysis, he helps businesses take advantage of the emerging technologies. According to Gartner, leaders have a strong presence and significant mind share in the DSML market. Startups like Cloudera, FICO and Iquazio found a place in the honorable mentions. They help automate the repetitive and mundane tasks within the ML or data science processes without compromising model performance and productivity. During his 18 years of corporate career, Janakiram worked at world-class product companies including Microsoft Corporation, Amazon Web Services and Alcatel-Lucent. Now is the era for automated data science and machine learning software that not only enhance the operational proficiency of such tools but also assist data scientists with great potential. If Google and Microsoft are positioned as visionaries, AWS deserves a place in the visionaries’ quadrant. Darwin provides value for Data Scientists by accelerating the prototyping of use cases and refinement of models, streamlining the development and maintenance of thousands of models and controlling every aspect of the process and integrate into the existing toolchain. Quantum Computers: Should We Be Prepared? The positioning of Watson Studio as the ML PaaS and IBM Cloud Paks for on-premises makes IBM a unique player in the market. News Summary: Guavus-IQ analytics on AWS are designed to allow, Baylor University is inviting application for the position of McCollum, AI can boost the customer experience, but there is opportunity. Both these features were announced at re:Invent in December while Gartner’s cutoff was November. At the time of leaving Microsoft, he was the cloud architect focused on Azure. Commercial availability and customer adoption of platforms acted as major influencers in defining the vendor ranking. © 2020 Forbes Media LLC. It helps ingest your data, select the target variable, build hundreds of models in one click, explore top models and get insights and deploy the best model. By automating complicated processes, it allows an ever-increasing number of departments and individuals to participate in direct value creation. AutoDiscovery is an intelligent automated exploratory data analysis software that helps Biomed researchers unveiling complex relationships hidden in the data files of scientific experiments and clinical trials. These are software products that data scientists use to help them develop and deploy their own data science and machine-learning solutions. You may opt-out by. That’s why it only takes minutes to learn and days to master. Gartner calls challengers as someone with an established presence, credibility, viability and robust product capabilities but falls short of becoming a leader by a few notches.