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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.

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Spotlight

Evolving Considerations for Data Storage in Life Sciences

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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Cloudera Launches First All-in-One Data Lakehouse Cloud Service

Cloudera | August 18, 2022

Cloudera, the hybrid data company, today announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse software as a service (SaaS) offering that enables fast and easy self-service analytics and exploratory data science on any type of data. A simple yet powerful cloud service, only CDP One has built-in enterprise security and machine learning (ML) that requires zero cloud, security or monitoring operations staff for lower TCO and reduced risk. Designed to make both data practitioners and expert developers more productive, companies can now achieve faster time to business insight to drive innovation and stay ahead of the competition. According to Ventana Research, almost three-quarters of organizations continue to run analytics and data workloads on premises. Security, a lack of skills and resources, and regulatory challenges are the primary reasons why organizations do not plan to use cloud computing for analytics and data. As the first all-in-one data lakehouse SaaS offering, CDP One makes it faster, easier and less risky for businesses to make their move to the cloud and migrate existing workloads to a modern data architecture. Everyone from novice data practitioners to skilled developers can now take advantage of low-code tools, streaming data analytics and ML to perform ad-hoc, and highly customizable analysis across the full data lifecycle via one secure, centralized data platform. "Empowering everyone in your business to get the real-time insights they need to make the right decisions requires building a truly modern data architecture in the cloud. "Many businesses don't have the resources, time or expertise to make this transformation happen. Cloudera's latest cloud innovation, CDP One, joins our family of CDP cloud data services to completely alter the equation, shaving months or even years from implementation timelines and providing comprehensive data security." Ram Venkatesh, chief technology officer at Cloudera One of the companies leveraging the benefits of CDP One is business travel management company CWT. "We needed to build a data lakehouse to enable more users to run analytics on their complex and sensitive data, but didn't have the right expertise to manage it, or time to hire additional resources," said Gordon Coale, senior director, enterprise architect for data at CWT. "CDP One was truly the right solution at the right time, rapidly delivering secure and compliant global data science and advanced analytics. CDP One was ready to accept data in just two days, and some use cases went into production in just four weeks. And we did not need any new staff to make this happen." "It's inspiring to see what insights organizations can uncover from their data once the barriers are removed," said Mike Feibus, president and principal analyst of market research firm FeibusTech. "Tearing down those barriers has been Cloudera's mission since I've been following the industry. And now, finally, the self-service simplicity of CDP One is making those insights accessible for a whole new class of companies. Watch for services like CDP One to emerge as the Holy Grail of the data-driven era." Unlike other solutions that solve only part of the problem or lock users into a limited number of analytic tools, CDP One: Is the first data lakehouse SaaS offering with cloud compute, cloud storage, ML, streaming analytics and enterprise grade security built-in. Provides Zero Ops functionality that enables fast and easy self-service analytics on any type of data without the need for specialized ops or cloud expertise. Is built with the same Cloudera technology that was rated better for analytic and operational use cases by leading industry analysts than the point product vendors or point services from hyperscalers. Reduces overall TCO by 20% to 35% when including initial set up and operations of platform ops, sec ops and support, versus DIY cloud solutions. The launch of CDP One continues a long standing and strategic relationship with Cloudera ISV partner Talend and its joint mission to make customers successful on their journey to becoming data driven companies. "The huge volume of data spread across multiple cloud environments and on-premises locations makes it extremely difficult for businesses to ensure high-quality, well-governed data management processes," said Rolf Heimes, VP Global Channel & Alliances at Talend. "With the combination of Talend's easy-to-use data management technologies with Cloudera's powerful data and analytics service, we're making it easier for our joint customers to use healthy data to drive business outcomes and accelerate their journey to the cloud."

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

Infostrux | July 18, 2022

Infostrux Solutions Inc. today announced that it has been awarded the Snowflake Retail & CPG Competency badge for its specialized expertise in the Snowflake Retail Data Cloud. Infostrux is extending the depth of its professional services and retail-focused data solutions, unlocking new ways to transform the industry and accelerate data-driven outcomes for customers. Infostrux and Snowflake are working closely to mobilize the world's data with the Snowflake Retail Data Cloud, helping joint customers fully realize the value of their own data and seamlessly share it across their ecosystem in near real-time to improve customer experiences, demand forecasts and supply chain operations. The partnership is entirely defined by a single-minded focus on enabling joint customers' innovative edge in the market. The Snowflake Partner Network Competency Program, unveiled at Snowflake Summit 2022, validates Snowflake partners for the depth of their Snowflake expertise and commitment to driving customer impact across the Data Cloud ecosystem. Infostrux is breaking down data silos within and outside of organizations by designing specialized industry solutions to accelerate the time to value for customers looking to benefit from the advanced Snowflake platform. With Infostrux and Snowflake, joint customers can extend the reach of their data to drive agility, deliver exceptional, personalized customer experiences and optimize operations. Infostrux has guided joint customer, Browns Shoes, in using the Snowflake Data Cloud as the bedrock of their data strategy to integrate and augment their full breadth of analytics across business functions swiftly and efficiently. "Choosing Infostrux and Snowflake has been instrumental in executing on our vision. "While we could see that Snowflake was the path forward technologically, we needed to enable business use cases fast and couldn't afford to stumble along the way. Collaborating with Infostrux, we were able to couple their deep Snowflake and DataOps expertise to our team's domain knowledge and generate business value within an aggressive timeframe, and are now in a position to take full advantage of the Snowflake Data Cloud." Alexandre Hubert, VP Technology and Logistics, Browns Shoes "The experience we've acquired working with Browns Shoes, and a number of other players in the Retail & CPG space, has allowed us to develop a set of practices and solutions aimed at helping organizations truly realize the promise of the Snowflake Retail Data Cloud." said Pierre Jr Cliche, VP Products & Solutions, Infostrux. "The Snowflake platform enables so much more than the foundational, and our customers are looking to us to leverage those transformational use cases introduced by Snowflake, whether it be by extending their Customer 360 view using industry-wide Data Clean Rooms or by forecasting demand through Snowflake-centric machine learning workflows." "Together, Snowflake and Infostrux can help joint customers in the Retail and CPG industries govern and share data seamlessly to deliver personalized customer experiences, optimize supply chains, and make data-driven merchandising decisions," said Rosemary Hua, Global Retail and CPG Industry GTM lead, Snowflake. "Infostrux's Retail and CPG Competency badge demonstrates their continued innovation in the Data Cloud, further mobilizing the world's data to better serve their customers." About Infostrux Infostrux is a consulting firm specialized in data engineering, data science and data management on Snowflake. Founded in January 2021, it has rapidly established itself as a Premier Snowflake partner and is expanding steadily across North America, working with organizations ranging from startups to Fortune 500 companies.

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

Tredence Inc. | August 19, 2022

Tredence Inc., a leading data science solutions provider focused on solving the last mile problem in AI, has announced capability development investments and partnerships to expand and strengthen its 'data on cloud' migration and modernization solutions that will accelerate Data and AI outcomes for its enterprise customers. Every enterprise data modernization initiative brings its own sets of characteristics and challenges that must be addressed contextually. Siloed data locked in legacy systems and dated modernization and analytics approaches are the chief roadblocks to becoming an insights-driven organization. Tredence's relentless focus on delivering business transformation value for industries fast-tracks data migration with advanced, enterprise-class, multi-cloud, cross-platform data and analytics migration and modernization solutions that leverage the highest degree of AI-led automation. The company accelerates end-to-end integrated data management through the entire data lifecycle, including data discovery, reengineering, migration, modernization of data and applications, quality improvement, governance, privacy, and data democratization. The three steps of this strategy are: Speed to action through AI-enabled data and analytics migration, modernization accelerators across data lifecycle management. This incorporates data platforms discovery, data discovery, data migration, data catalog, data enrichment and data quality. Speed to scale by leveraging its strategic partnerships with all major cloud hyperscalers, as well as data and AI platform ISVs. The company recently partnered with Bladebridge to transform its customers' data state, cloud infrastructure, and deliver a complete suite of data and AI offerings. Speed to value by accelerating data migration and modernization timeframes with its innovative solutions, Tredence expects to reduce overall data estate transformation costs and deliver transformational value faster, leveraging its vast industry solutions & accelerators. Tredence invests 5% of its revenue in R&D. The company's AI Innovation center of excellence currently employs more than 100 data scientists and engineers working in industry and functional accelerators. The three-fold approach equips Tredence to tap into the $30 billion data migration and modernization market and accelerate data estate return on investment for all its enterprise customers in a seamless, end to end motion. "Enterprises are having a challenging time predicting new customer behaviors and are constantly evaluating, refining, and updating their analytical models. Tredence is making considerable capability development investments in building 'data on cloud' solutions for enterprises. To that end, we are collaborating with an ecosystem of partners to build migration and modernization strategies and solutions that turn enterprises into insights-driven organizations." Sumit Mehra, Chief Technology Officer, and Co-founder, Tredence "Every enterprise today relies on real-time data and insights to stay agile and be competitive in a very dynamic global business environment. However, for most enterprises, insights generation and last-mile adoption remain a pipe dream without a clear, effective data modernization strategy. Our data migration and modernization solutions take the complexity out of data transformation and reduce time to value significantly, operationalizing modern data platforms on the cloud," said Soumendra Mohanty, Chief Strategy Officer and Chief Innovation Officer, Tredence. Tredence was recently recognized by Databricks as 2022 Retail and CPG (Consumed Packaged Goods) partner of the year and Microsoft Analytics Partner of the Year 2022, highlighting the Data and AI transformation value it is delivering to all its enterprise customers. About Tredence Inc. Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The 'last mile' is the gap between insight creation and value realization. Headquartered in San Jose, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. Tredence is a Great Place to Work-Certified and as a 'Leader' in the Forrester Wave: Customer Analytics Services. Tredence is 1,700-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.

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Cloudera Launches First All-in-One Data Lakehouse Cloud Service

Cloudera | August 18, 2022

Cloudera, the hybrid data company, today announced the launch of Cloudera Data Platform (CDP) One, an all-in-one data lakehouse software as a service (SaaS) offering that enables fast and easy self-service analytics and exploratory data science on any type of data. A simple yet powerful cloud service, only CDP One has built-in enterprise security and machine learning (ML) that requires zero cloud, security or monitoring operations staff for lower TCO and reduced risk. Designed to make both data practitioners and expert developers more productive, companies can now achieve faster time to business insight to drive innovation and stay ahead of the competition. According to Ventana Research, almost three-quarters of organizations continue to run analytics and data workloads on premises. Security, a lack of skills and resources, and regulatory challenges are the primary reasons why organizations do not plan to use cloud computing for analytics and data. As the first all-in-one data lakehouse SaaS offering, CDP One makes it faster, easier and less risky for businesses to make their move to the cloud and migrate existing workloads to a modern data architecture. Everyone from novice data practitioners to skilled developers can now take advantage of low-code tools, streaming data analytics and ML to perform ad-hoc, and highly customizable analysis across the full data lifecycle via one secure, centralized data platform. "Empowering everyone in your business to get the real-time insights they need to make the right decisions requires building a truly modern data architecture in the cloud. "Many businesses don't have the resources, time or expertise to make this transformation happen. Cloudera's latest cloud innovation, CDP One, joins our family of CDP cloud data services to completely alter the equation, shaving months or even years from implementation timelines and providing comprehensive data security." Ram Venkatesh, chief technology officer at Cloudera One of the companies leveraging the benefits of CDP One is business travel management company CWT. "We needed to build a data lakehouse to enable more users to run analytics on their complex and sensitive data, but didn't have the right expertise to manage it, or time to hire additional resources," said Gordon Coale, senior director, enterprise architect for data at CWT. "CDP One was truly the right solution at the right time, rapidly delivering secure and compliant global data science and advanced analytics. CDP One was ready to accept data in just two days, and some use cases went into production in just four weeks. And we did not need any new staff to make this happen." "It's inspiring to see what insights organizations can uncover from their data once the barriers are removed," said Mike Feibus, president and principal analyst of market research firm FeibusTech. "Tearing down those barriers has been Cloudera's mission since I've been following the industry. And now, finally, the self-service simplicity of CDP One is making those insights accessible for a whole new class of companies. Watch for services like CDP One to emerge as the Holy Grail of the data-driven era." Unlike other solutions that solve only part of the problem or lock users into a limited number of analytic tools, CDP One: Is the first data lakehouse SaaS offering with cloud compute, cloud storage, ML, streaming analytics and enterprise grade security built-in. Provides Zero Ops functionality that enables fast and easy self-service analytics on any type of data without the need for specialized ops or cloud expertise. Is built with the same Cloudera technology that was rated better for analytic and operational use cases by leading industry analysts than the point product vendors or point services from hyperscalers. Reduces overall TCO by 20% to 35% when including initial set up and operations of platform ops, sec ops and support, versus DIY cloud solutions. The launch of CDP One continues a long standing and strategic relationship with Cloudera ISV partner Talend and its joint mission to make customers successful on their journey to becoming data driven companies. "The huge volume of data spread across multiple cloud environments and on-premises locations makes it extremely difficult for businesses to ensure high-quality, well-governed data management processes," said Rolf Heimes, VP Global Channel & Alliances at Talend. "With the combination of Talend's easy-to-use data management technologies with Cloudera's powerful data and analytics service, we're making it easier for our joint customers to use healthy data to drive business outcomes and accelerate their journey to the cloud."

Read More

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

Infostrux | July 18, 2022

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Read More

BIG DATA MANAGEMENT,DATA SCIENCE

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

Tredence Inc. | August 19, 2022

Tredence Inc., a leading data science solutions provider focused on solving the last mile problem in AI, has announced capability development investments and partnerships to expand and strengthen its 'data on cloud' migration and modernization solutions that will accelerate Data and AI outcomes for its enterprise customers. Every enterprise data modernization initiative brings its own sets of characteristics and challenges that must be addressed contextually. Siloed data locked in legacy systems and dated modernization and analytics approaches are the chief roadblocks to becoming an insights-driven organization. Tredence's relentless focus on delivering business transformation value for industries fast-tracks data migration with advanced, enterprise-class, multi-cloud, cross-platform data and analytics migration and modernization solutions that leverage the highest degree of AI-led automation. The company accelerates end-to-end integrated data management through the entire data lifecycle, including data discovery, reengineering, migration, modernization of data and applications, quality improvement, governance, privacy, and data democratization. The three steps of this strategy are: Speed to action through AI-enabled data and analytics migration, modernization accelerators across data lifecycle management. This incorporates data platforms discovery, data discovery, data migration, data catalog, data enrichment and data quality. Speed to scale by leveraging its strategic partnerships with all major cloud hyperscalers, as well as data and AI platform ISVs. The company recently partnered with Bladebridge to transform its customers' data state, cloud infrastructure, and deliver a complete suite of data and AI offerings. Speed to value by accelerating data migration and modernization timeframes with its innovative solutions, Tredence expects to reduce overall data estate transformation costs and deliver transformational value faster, leveraging its vast industry solutions & accelerators. Tredence invests 5% of its revenue in R&D. The company's AI Innovation center of excellence currently employs more than 100 data scientists and engineers working in industry and functional accelerators. The three-fold approach equips Tredence to tap into the $30 billion data migration and modernization market and accelerate data estate return on investment for all its enterprise customers in a seamless, end to end motion. "Enterprises are having a challenging time predicting new customer behaviors and are constantly evaluating, refining, and updating their analytical models. Tredence is making considerable capability development investments in building 'data on cloud' solutions for enterprises. To that end, we are collaborating with an ecosystem of partners to build migration and modernization strategies and solutions that turn enterprises into insights-driven organizations." Sumit Mehra, Chief Technology Officer, and Co-founder, Tredence "Every enterprise today relies on real-time data and insights to stay agile and be competitive in a very dynamic global business environment. However, for most enterprises, insights generation and last-mile adoption remain a pipe dream without a clear, effective data modernization strategy. Our data migration and modernization solutions take the complexity out of data transformation and reduce time to value significantly, operationalizing modern data platforms on the cloud," said Soumendra Mohanty, Chief Strategy Officer and Chief Innovation Officer, Tredence. Tredence was recently recognized by Databricks as 2022 Retail and CPG (Consumed Packaged Goods) partner of the year and Microsoft Analytics Partner of the Year 2022, highlighting the Data and AI transformation value it is delivering to all its enterprise customers. About Tredence Inc. Tredence is a global data science solutions provider focused on solving the last mile problem in AI. The 'last mile' is the gap between insight creation and value realization. Headquartered in San Jose, the company embraces a vertical-first approach and an outcome-driven mindset to help clients win and accelerate value realization from their analytics investments. Tredence is a Great Place to Work-Certified and as a 'Leader' in the Forrester Wave: Customer Analytics Services. Tredence is 1,700-plus employees strong with offices in San Jose, Foster City, Chicago, London, Toronto, and Bangalore, with the largest companies in retail, CPG, hi-tech, telecom, healthcare, travel, and industrials as clients.

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