SALT LAKE CITY, June 4, 2019 /PRNewswire-PRWeb/ -- Big Squid, the global leader in automated machine learning, today announced it has been named a Contender in "The Forrester New Wave™: Automation-Focused Machine Learning Solutions, Q2 2019" report by Forrester Research, Inc. Among the nine providers evaluated for the report, Big Squid is the only AutoML solution in the Contender category.
The Forrester report states that Big Squid has "a powerful hold on BI users."
In its evaluation, Forrester reports that Big Squid is "best for BI users that wish to crack machine learning" and notes the myriad of BI platforms with which Big Squid integrates. "With tentacles reaching into a school of BI platforms, Big Squid makes it easy for BI users to conduct AutoML — with a straightforward GUI that users can access directly within their BI platform of choice — and visualize the results and predictions for a large BI audience."
The Forrester report also stated, "Customer references praised Big Squid's customer engagement to help implement use cases, as well as its simple user interface." And further noted, "...Big Squid has the professional services expertise to get it just right."
"We are proud of Kraken's ease-of-use, rapid iteration, and a full suite of integrations into an analyst's existing/familiar analytics stack. With many analysts engaging machine learning for the first time, the experience has to be easy and painless while simultaneously effective, or adopting the technology becomes challenging," said Nick Magnsuon, VP of Product at Big Squid.
About Big Squid: Machine Learning is helping companies become data-driven faster than ever before. Big Squid empowers businesses to understand their data and to take action on it in ways that traditional business intelligence and analytics tools are not yet able to do. Our AutoML platform, Kraken, was designed to augment your existing analytics capabilities. Kraken quickly surfaces true statistical insights and diagnostic analytics and empowers business analysts to deliver predictive and prescriptive analytics solutions all within your existing data and analytics infrastructure.
SOURCE Big Squid
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