Infoworks Presenting at Spark + AI Summit 2020

Databricks-organized big data, analytics and AI event expected to draw record attendance

PALO ALTO, Calif.–(BUSINESS WIRE)–#DataFoundry—Infoworks.io, the leader in Enterprise Data Operations and Orchestration (EDO2) systems, today announced participation at, and sponsorship of the Spark + AI Summit 2020, organized by Databricks, a premier Infoworks partner. “The challenges companies face in the current macro-economic environment warrants a strong focus on operational efficiency and the use AI/ML technologies,” said Russ Barck, Infoworks’ Vice President of Strategic Alliances. “The combination of Infoworks DataFoundry and Delta Lake on Databricks streamlines the onboarding, preparation and operationalization of data in the cloud, delivering significant reductions in operating expense while increasing analytics agility.”

The Spark + AI Summit will run five days from June 22 – 26, in a 24×7, worldwide, virtual format. The Summit will feature keynotes by industry thought leaders, training, and 200+ sessions, including an interactive presentation from Infoworks on how data engineers, data scientists and data analysts can use Infoworks DataFoundry with Databricks to solve some of the world’s toughest data and analytics problems. Infoworks plans several public announcements, including new product developments, during the event and will host dedicated demonstration hours and 1-to-1 meetings. Business and technical staff challenged with onboarding to the cloud will benefit from attending Infoworks’ sessions and taking advantage of personalized demonstration opportunities. Interested attendees are welcomed to register for 1-to-1 meetings with Infoworks here: https://www.infoworks.io/event/spark-ai-summit/

Case study presentation/demo: Make the Most of Your Talent and Time When Working on AI and ML Projects – Automate the Rest

When: Wednesday, June 24 at 11 a.m. PDT

Register: https://databricks.com/session_na20/make-the-most-of-your-talent-and-time-when-working-on-ai-and-ml-projects-automate-the-rest
Description: Tired of spending too much time on manually intensive tasks to onboard and prepare data for your AI & ML projects? A proliferation of loosely integrated point tools and the lack of automation results in a great deal of time spent writing glue code and coordinating tooling, instead of training and operationalizing your ML models. There is a better way, and it starts with automation. In this session we’ll discuss how you can automate the manually intensive and time-consuming work of onboarding and preparing your data; enabling you to focus your talent and time on making the best use of AI and ML to further your business’ goals.

Presenters: Infoworks’ Ramesh Menon, Vice President, Product, and Kevin Holder, Vice President and Head of Solution Architecture and Field Engineering

Infoworks offers a highly optimized natively-integrated solution for customers that wish to onboard, prepare and operationalize data in Databricks Cloud environments. Infoworks DataFoundry enables data engineers, data scientists and data analysts to focus talent on solving problems while offloading manually intensive tasks to the highly automated, intuitive, drag-and-drop DataFoundry system. For additional information, please see: https://www.infoworks.io/datafoundry-for-databricks/.

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About Infoworks

Infoworks offers the most comprehensive and automated Enterprise Data Operations and Orchestration (EDO2) system. It is the only EDO2 system built to automate and accelerate deployment and orchestration of analytics projects at scale, in cloud, hybrid, multi-cloud, and premise-based environments. Through deep automation and a code-free environment, Infoworks empowers organizations to rapidly consolidate and organize enterprise data, create analytics workflows and deploy projects to production within days – dramatically increasing business agility and accelerating time-to-value. Infoworks counts some of the world’s largest financial, retail, technology, healthcare, oil & gas, and manufacturing companies as its customers. To learn more, please visit infoworks.io.