BIG DATA MANAGEMENT

SymphonyAI Earned First Place in the ISB Datathon Case Competition 2021

SymphonyAI | January 11, 2022

Advanced Analytics
A leader in high-value enterprise AI software solutions for strategic industries, SymphonyAI has announced that it took first place in the ISB Datathon Case Competition 2021 for advanced analytics and data science. The achievement demonstrates how SymphonyAI emphasizes explaining how various variables are linked rather than just looking at how variables cluster without comprehending the links, which produces better results faster.

The Business Analytics Datathon was held in November and December 2021 at the Indian School of Business Institute of Data Science, inspiring the data science community to use advanced analytics and data science to deliver business solutions that assist transformational decision-making.

ISB professors, research directors, industry professionals, and executives from major corporations in the ISB Datathon Case Competition judged teams' solutions. On December 4, the institution's Data Science Summit concluded the 2021 competition. With a data set of 19.5 million daily sales records, SymphonyAI's team focused on an issue in the retail vertical and designed a solution in 10 days to forecast and analyze multivariate store and product behavior. The idea was praised for its uniqueness and was the winning option.

"We examined 699 products across 144 stores and needed to determine in a short amount of time how to forecast sales behavior accurately while taking into account a wide range of possibilities and despite missing crucial pieces of information," said SymphonyAI Vice President of AI and Data Science Sudarson Roy Pratihar. "Our method succeeded because we can see the shape of the data and understand the meaning of it, rather than discovering associations among attributes of data. For example, standard methods might see an image of a hand as a bunch of pixel points. But the SymphonyAI approach understands the specific shapes of fingers or a wrist from those points, and that these shapes connect in specific ways that allow the hand to move and do what it does. We can see and explain underlying drivers and how they're connected faster and better to drive clear and accurate decision-making."

The team demonstrated why customers can now move past stumbling blocks that challenge traditional AI and data science and get an accurate and actionable picture of the underlying drivers of business behavior and success using the SymphonyAI approach to enterprise AI, which is available commercially to customers.

Spotlight

The latest lab instruments are driving the need for powerful IT resources in the life sciences, including data storage. Laboratory technologies are evolving rapidly. The latest instruments for life science research enable scientists to visualize highly detailed 3D models of protein molecules and assemble genomes in a fraction of the time they could in the past.New lab instruments are also producing tremendous amounts of data. For example, in the field of genomic research, nextgeneration sequencing (NGS) instruments can output 1 TB of data per hour. Cryo-electron microscopy (cryo-EM) is another burgeoning field that can produce massive data volumes. With cryo-EM, researchers study protein molecules at cryogenic temperatures, taking numerous images of each molecule and constructing 3D models. Researchers then use those models to study cancer at a molecular level and develop strategies for combating emerging viruses, such as Zika. The cryo-EM workflow can generate 5 TB of data in 24 hours.

Spotlight

The latest lab instruments are driving the need for powerful IT resources in the life sciences, including data storage. Laboratory technologies are evolving rapidly. The latest instruments for life science research enable scientists to visualize highly detailed 3D models of protein molecules and assemble genomes in a fraction of the time they could in the past.New lab instruments are also producing tremendous amounts of data. For example, in the field of genomic research, nextgeneration sequencing (NGS) instruments can output 1 TB of data per hour. Cryo-electron microscopy (cryo-EM) is another burgeoning field that can produce massive data volumes. With cryo-EM, researchers study protein molecules at cryogenic temperatures, taking numerous images of each molecule and constructing 3D models. Researchers then use those models to study cancer at a molecular level and develop strategies for combating emerging viruses, such as Zika. The cryo-EM workflow can generate 5 TB of data in 24 hours.

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BIG DATA MANAGEMENT,DATA SCIENCE

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Cloudera | August 18, 2022

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BUSINESS STRATEGY

Infostrux Awarded Snowflake Retail & CPG Competency Badge for Accelerating Innovation in the Snowflake Retail Data Cloud

Infostrux | July 18, 2022

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Tredence bets big on $30 Billion Data Migration and Modernization Market

Tredence Inc. | August 19, 2022

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