Big Squid Included in "Honorable Mentions" from Gartner Magic Quadrant For Second Year in a Row
Big Squid announced it has been cited as an Honorable Mention from Gartner's January 2019 Magic Quadrant for Data Science and Machine Learning Platforms research report. Gartner has included Big Squid with an Honorable Mention for two consecutive years.
SALT LAKE CITY, Mar. 5, 2019 /PRNewswire-PRWeb/ -- Big Squid announced it has been cited as an Honorable Mention from Gartner's January 2019 Magic Quadrant for Data Science and Machine Learning Platforms research report. Gartner has included Big Squid with an Honorable Mention for two consecutive years. This Gartner Magic Quadrant reviews approximately 70 vendors for inclusion, of which 17 were selected for positioning.
According to Gartner, "This Magic Quadrant evaluates vendors of data science and machine learning (ML) platforms. These are software products that enable expert data scientists, citizen data scientists and application developers to create, deploy and manage their own advanced analytic models."
"I am extremely proud of what this team has accomplished and feel the Honorable Mention in the Gartner Magic Quadrant report further validates my belief that Big Squid is, and will continue to be a leader in this space," said CEO Chris Knoch. "I believe we are only scratching the surface on what we can accomplish. The democratization of data is just beginning and we foresee a time in the near future where teams and businesses of all sizes have access to augmented machine learning and the valuable business insights it provides."
SVP Sales and Alliances, Mark Dillon cited recent features such as CSV upload and Kraken's Prediction API connection as evidence of Big Squid's focus and commitment to continually disrupt the machine learning industry. "We are giving businesses the ability to leverage their analyst teams to build and deploy machine learning models, which then scales data scientist resources across the entire org. No one is doing what we are doing. We are extremely hopeful for the future of augmented machine learning and excited to show what Big Squid can do for business."
Big Squid's Kraken platform automates the process of selecting, building, and deploying complex machine learning models that enable businesses and organizations to achieve greater clarity in their decision making. The applications of an internal automated machine learning platform are vast and span across use cases and industries. "We have analysts using our platform in manufacturing to diagnose and predict hardware malfunctions. We also have customers in higher education creating models to forecast student enrollment and churn. I am continually impressed at the creative ways Kraken is being used and the problems our customers are solving," said Knoch.
About Kraken: Kraken is the only augmented machine learning platform created for the business analyst. Intelligent analysts worldwide are taking their existing data and augmenting their own decision-making abilities with machine learning to quickly gain all-new insights and drive real action for better, faster, data-driven results. Through its easy-to-use workflow, Kraken democratizes data science across your entire organization, allowing business analysts to make smarter, faster decisions. https://www.bigsquid.com/kraken
About Big Squid: Big Squid places the power of predictive modeling and machine learning in the hands of the analyst, executive, and business decision maker. Big Squid's Kraken platform is built specifically to allow user access and data input from all divisions of your company. Leveraging your existing BI data, Big Squid deploys automated predictive modeling and machine learning to generate likely future business outcomes and scenarios quickly. Now CEO's, analysts, and all business users alike, can work within one platform and share predictive modeling outcomes across all departments. Learn more at https://bigsquid.com/
Gartner does not endorse any vendor, product or service depicted in its research publications, and does not advise technology users to select only those vendors with the highest ratings or other designation. Gartner research publications consist of the opinions of Gartner's research organization and should not be construed as statements of fact. Gartner disclaims all warranties, express or implied, with respect to this research, including any warranties of merchantability or fitness for a particular purpose.
SOURCE Big Squid
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