DATA SCIENCE

SlyceData to launch Investment Research Intelligence Engine with Snowflake

SlyceData Corporation | February 28, 2022

SlyceData Corporation
SlyceData has announced the release of a Snowflake-powered intelligent financial data wrangling and analytics platform. Investment analysts may use this solution from SlyceData and Snowflake, the Data Cloud provider, to seamlessly examine and extract their numerous financial data sources across vendors, substantially speeding up the production of investment ideas.

With its one integrated platform, Snowflake's Data Cloud provides customers access to a wide range of data sources. Snowflake, a technological initiative that accelerates the capacity of enterprises and application developers to produce innovative apps, powers SlyceData's technology. SlyceData takes advantage of Snowflake's performance and versatility to enable clients to easily merge their numerous financial data sources, allowing them to identify insights and generate portfolio returns more effectively.

SlyceData and Snowflake handle the time-consuming but critical challenge of producing research-ready data for investment analysis, allowing customers to tap into new sources and get fresh insights. As per a recent HBR article, data scientists spend 80% of their time preparing data and just 20% evaluating it, which is something SlyceData wants to change.

VP of Equity Investment Management Technology at AllianceBernstein, Mike Bauer, said that "Access to a vast range of data in the research-ready form is crucial for our organization's success. SlyceData and Snowflake are building technology to dramatically simplify the work of data delivery and wrangling, and we're very excited to see the value it should bring."

"We're delighted to work with Snowflake to provide customers with ready-to-use data at their fingertips. Our mission is to empower customers to get the most out of their data, to drive performance."

Chris Harrison, CEO of SlyceData

Spotlight

Stream Processing is a Big data technology. It is used to query continuous data stream and detect conditions, quickly, within a small time period from the time of receiving the data. The detection time period varies from few milliseconds to minutes. For example, with stream processing, you can receive an alert when the temperature has reached the freezing point, querying data streams coming from a temperature sensor.

Spotlight

Stream Processing is a Big data technology. It is used to query continuous data stream and detect conditions, quickly, within a small time period from the time of receiving the data. The detection time period varies from few milliseconds to minutes. For example, with stream processing, you can receive an alert when the temperature has reached the freezing point, querying data streams coming from a temperature sensor.

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Foursquare to Power Geospatial Data Visualization in Amazon SageMaker

Foursquare | December 06, 2022

Foursquare, the leading independent location technology company, exclusively powers data visualization for the new Amazon SageMaker geospatial capabilities announced last week at Amazon Web Services (AWS) re:Invent 2022. Foursquare Studio can visualize geospatial data at a massive scale with ease, enabling data scientists to explore geospatial data interactively and seamlessly on a map as they build, train, and deploy ML models on Amazon SageMaker. The world's most innovative companies rely on geospatial data to make critical business decisions. Many of them, including Uber, Redfin and DoorDash, already work with Foursquare to enrich their business processes with location data and analytics tools. As more and more enterprises realize the opportunity for geospatial data to improve their decisions, they are looking for simpler ways to extract insights using cutting edge ML models. Before today, data scientists and ML engineers had to build and assemble a complicated chain of data sets and ML tools to extract insights from geospatial data, slowing down their pace of innovation. Using Foursquare Studio, data scientists and ML engineers can explore massive geospatial datasets interactively. With Foursquare Studio in Amazon SageMaker, customers can extract geospatial features of predictive value, such as identifying the most frequently traversed areas of a city or detecting traffic patterns after an event, to make predictions. Utilizing these geospatial features, they can also build ML models that enable business analysts to make smarter and faster decisions, such as choosing where to locate their next store or estimate the value of a property based on the characteristics of its neighborhood. “Foursquare continues to invest in location technologies that serve enterprises as well as consumers. “Having worked with AWS to build Foursquare Studio in Amazon SageMaker, we are excited to see customers use the new geospatial capabilities to generate meaningful insights. Many businesses are already using Foursquare data and tools along with AWS analytics and machine learning services. We look forward to helping many more enterprises unlock the potential of geospatial data with Foursquare Studio in Amazon SageMaker.” Ankit Patel, SVP of Engineering at Foursquare About Foursquare Foursquare is the leading independent location technology company, dedicated to helping businesses make smarter decisions and developers create more engaging user experiences. A pioneer of the geolocation space, Foursquare’s geospatial capabilities are used by the world’s largest enterprises and most recognizable brands, helping them take advantage of location intelligence to create better customer experiences and smarter business outcomes.

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BUSINESS INTELLIGENCE, BIG DATA MANAGEMENT

Snowflake Scales Data Cloud Ecosystem Through Industry Solutions and Powered by Snowflake Program

Snowflake | November 08, 2022

Snowflake, the Data Cloud company, today announced at its Snowday 2022 event, the final San Francisco stop on its Data Cloud World Tour, continued growth across the Data Cloud ecosystem, driven in part by Snowflake’s cloud, data provider, services, technology, and Powered by Snowflake partners, alongside its customers. Launched over two years ago, the Snowflake Partner Network continues to serve as the engine that fuels the growth of the Data Cloud ecosystem, unlocking the potential of the Data Cloud with a broad array of solutions, applications, and partners that help mobilize the world’s data. “Together, Deloitte and Snowflake are supporting customers end-to-end through their data mobilization journeys,” said Frank Farrall, Principal – Data and AI Alliances Leader, Deloitte Consulting LLP. “Our alliance with Snowflake allows us to be part of the process of helping to redefine the market for data technology, empowering our joint clients to achieve their digital innovation goals and unlock business value at scale.” Powered by Snowflake Fuels New Innovations Powered by Snowflake is becoming synonymous with application development in the Data Cloud, with the program growing by over 6x year-over-year as of July 31, 2022. 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Since then, companies like Capital One are leveraging the Native Application Framework to build a new class of applications on Snowflake that enable customers to install applications from Snowflake Marketplace, and run them directly in their Snowflake instances. “Earlier this year, Capital One entered the enterprise B2B software market with the launch of Capital One Software and our first product, Slingshot,” said Salim Syed, VP and Head of Engineering, Capital One Software. “We chose to develop a Slingshot app for Snowflake Marketplace to further enhance the Slingshot customer experience and increase the time to value for our joint customers. The ease at which consumers can securely install and run applications directly in their Snowflake instances is of huge value to those building applications in Snowflake.” Snowflake Partners Building Joint Industry-Vertical Solutions in Alignment with Customers’ Priorities Snowflake continues to advance as the standard across industries through its vertical and horizontal solutions with the launch of four industry-specific Data Clouds recently built on Snowflake’s single, integrated platform: Financial Services Data Cloud (September 2021), Media Data Cloud (October 2021), Healthcare and Life Sciences Data Cloud (March 2022), and Retail Data Cloud (March 2022). Within each industry-specific Data Cloud, Snowflake announced partner-delivered solutions that are designed to take advantage of Snowflake’s unique interoperability and secure data sharing capabilities, create frictionless collaboration between organizations, leverage best practices, reduce time-to-value, and increase overall impact. Examples of joint solutions include: Media Data Cloud – Slalom created solutions on the Media Data Cloud for the cookieless ecosystem, which enable marketers to generate insights from their first-party data and stay compliant with privacy regulations, while ensuring that data is never stale or out of date. Healthcare and Life Sciences Data Cloud – Novartis is leveraging the Healthcare & Life Sciences Data Cloud to optimize omnichannel engagement and accelerate time-to-market while collaborating more closely than ever with their healthcare partners, unlocking data to reimagine medicine that will improve patient outcomes. Retail Data Cloud – Infosys is improving time-to-value for customers with pre-built partner solutions that help solve for top priority use cases in merchandising, supply chain, and personalization, and can quickly help businesses grow value. Financial Services Data Cloud – Alation pioneered the data catalog and launched the Alation Data Governance App with Snowflake-specific policy features to help drive data governance adoption and increase the transparency of data controls in the Financial Services Data Cloud. “Enterprises are focusing on creating sustained competitive advantage through data and AI, however, they are faced with significant challenges in modernizing to cloud-led data estates. Re-imagining business processes enabled by data and AI and creating data-driven new growth engines is key to win and lead in the digital world.” said Sunil Senan, Senior Vice President and Business Head for Data and Analytics at Infosys. “Infosys is helping its clients through Industry Intelligence cloud offerings under Infosys Cobalt in collaboration with Snowflake empowering enterprises to address these challenges and accelerate their data-driven business strategy.” Additionally, Snowflake executed and launched its inaugural Modern Marketing Data Stack Report: Your Technology Guide to Unifying, Analyzing, and Activating the Data that Powers Amazing Customer Experiences, identifying the best of breed Snowflake partner and Marketplace solutions used by Snowflake customers to show how marketers can leverage the Snowflake Data Cloud to best identify, serve, and convert valuable prospects into loyal customers. 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Striim Introduces Striim Cloud on Amazon Web Services for Real-Time Streaming Data to accelerate AWS Cloud Modernization and Analytics

Striim | December 01, 2022

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