Saturn Cloud | January 15, 2021
Snowflake Computing (NYSE: SNOW), the main cloud data warehouse organization, and Saturn Cloud, the pioneer in extremely quick data science, have reported an essential partnership and combination of items to introduce the most elevated speed tooling for data science and AI groups.
Joint clients of the organizations pick the arrangement due to the convenience of Python and to accomplish 100x quicker execution over sequential Python and Apache Spark.
As of late, Saturn Cloud distributed an arbitrary woods benchmark that accomplished 2000x quicker runtime over conventional tooling. Since dispatching in 2020, Saturn Cloud has seen more than 200,000 hours of figure.
In September 2020, Snowflake made a noteworthy IPO on the NYSE, turning into the biggest programming IPO ever. Experts foreseen it to be the biggest public contribution of the year, with the stock value multiplying since IPO.
How the mix functions: Snowflake distributes local python drivers, the snowflake-connector-python, as an interface to associate Python applications to their data warehouse. Saturn Cloud makes it simple to quicken these Python applications with Dask and RAPIDS for multi-hub multi-GPU computing. Hence, matching Snowflake with Saturn Cloud gives the most amazing aspect the two universes: Snowflake improves sql-like activities, and Saturn Cloud scales Python-based outstanding burdens like AI.
Accordingly, stacking Snowflake data into Dask is simple with Saturn Cloud. When a client has provisioned a JupyterLab occurrence and Dask group in Saturn Cloud's UI, it's only a couple lines of code to begin. Find out about this here.
"We are excited to be working closely with Snowflake to commercialize our joint offering. Data science is one of the fastest-growing multi-billion markets in the world, with businesses increasingly relying on data to make strategic decisions," says M. Sebastian Metti, one of the Saturn Cloud founders.
"We're seeing fast adoption of Dask at the largest organizations in the world and we're excited to extend Snowflake's Data Science capabilities by partnering with Saturn Cloud. Saturn Cloud's service allows Data Scientists to use Python for the entire machine learning process, reducing complexity, offering excellent scalability, and incredible speed provided by GPUs. We're excited to be able to offer our customers Dask as a compelling alternative to Spark for Machine Learning," says Tarik Dwiek, Director of Technology Alliances at Snowflake.
About Saturn Cloud
Saturn Cloud is a data science and machine learning platform in Python for lightning-fast analytics. Users have enterprise-grade security, end-to-end collaboration capabilities, usage-based billing, and easy setup. Saturn Cloud is available on Amazon Web Services as well as in its own hosted platform.
About Snowflake Computing
Snowflake delivers the Data Cloud—a global network where thousands of organizations mobilize data with near-unlimited scale, concurrency, and performance. Inside the Data Cloud, organizations unite their siloed data, easily discover and securely share governed data, and execute diverse analytic workloads. Wherever data or users live, Snowflake delivers a single and seamless experience across multiple public clouds. Snowflake's platform is the engine powering solutions for data warehousing, data lakes, data engineering, data science, data application development, and data sharing.
ClearObject | August 25, 2020
Earlier this year, ClearObject announced the establishment of a Digital Products Business Unit, creating a strategic focus on delivering valuable digital solutions for business customers around the world. The Indianapolis based technology company, is furthering this commitment by launching an innovative Customer Success Team, who will ensure that customers are able to maximize the value of digital innovation. "The establishment of a Customer Success Team is an acknowledgement that our customers success and the success of ClearObject are one and the same," explains Noel Hopkins, Head of Customer Success for Digital Products at ClearObject.
BLEND360 | August 13, 2021
BLEND360 launches a new SEO capability built to leverage its deep expertise in data science, data engineering and business intelligence, to be combined with cutting edge SEO capabilities designed for enterprise brands.
BLEND360 today announces the launch of its Search Engine Optimization (SEO) capability. The new digital marketing practice will sit within their fast-growing Data Science Solutions (DSS) business. SEO represents BLEND360’s first investment in performance digital marketing, as it looks to further provide industry leading digital analytics and digital marketing services to Fortune 1,000 brands globally. The SEO capability will be led by Adam Audette as SVP, SEO Business Leader, who has an experienced track record in the search industry and previously led the global SEO capability for Merkle Dentsu for over seven years.
The new SEO capability at BLEND360 is uniquely differentiated from competing solutions, by joining its expertise in data science, data engineering and business intelligence (BI) with industry leading SEO. This SEO function will operate as a technology-enabled consultancy. Areas of focus for BLEND360 SEO include providing search insights leveraging multiple and disparate big datasets, and creating intent and behavior insights using search and social query data to inform audience targeting, market opportunities, content creation and product research. These proprietary capabilities will allow BLEND360 to provide audience insights that better inform content strategy and performance measurement, enabling enterprise brands to create more relevant customer experiences and grow their products and businesses.
Today’s SEO solutions have gaps providing marketing insight using search data to inform audience behaviors, content strategy, market research and cross-channel performance. BLEND360’s data science focused SEO practice addresses this gap. Additionally, BLEND360 SEO is developing more accurate and insightful data models than widely available in the industry, using machine learning and natural language processing, to gain granular insights into online behavior. Search remains one of the best primary datasets to gain learnings about online behavior and user intent. BLEND360 SEO is designed from the ground up to meet these needs.
The Data Science SEO capability at BLEND360 is being spearheaded by Adam Audette, a veteran in the industry. “We’re excited about the convergence of data science, business intelligence and SEO,” says Audette. “BLEND360 is a high-quality company filled with industry leading talent, founded by people who have successful track records in the industry. Our SEO capability is born at the intersection of data science, business intelligence and SEO. We feel this represents the future of digital marketing, and I couldn’t be more excited to join BLEND360 as we chart the course.”
“Enterprise brands are investing in the SEO channel more today than ever before,” says Audette, “and yet their demands are not being met in areas like accurate forecasting of SEO investments, opportunity sizing, performance measurement and reporting, audience intent analysis, and a much stronger level of accountability regarding return on investment. We’re here to meet those needs, using the robust data science skills and technology under the hood at BLEND360, and our long track record in the SEO space working with the world’s biggest brands.” More information here: https://www.blend360.com/data-science-solutions/core-capabilities/search-engine-optimization.
BLEND360 is a leading provider of services in data science and talent solutions serving Fortune 1000 and industry leading companies. BLEND360 is focused on their world-class people that help clients optimize business performance through data, technology and analytics. BLEND360 continues to be one of the fastest growing companies, making the Inc. 5000 every year they have been in business. They have over 350 employees with offices in NYC, MD, CO, CA, The Netherlands, and India.