Data & Analytics Virtual Summit

August 5, 2021 | USA

Unleashing the Power of Data with a Modern Data & Analytics Strategy, The Data & Analytics Virtual Summit is a gathering of Data & Analytics executives representing enterprise organizations, global brands, government agencies. Data-driven organizations are committed to gathering data concerning all aspects of the business. By enabling employees at every level to use the right data at the right time, data can foster conclusive decision-making and becomes part of the companies’ competitive advantage. Data has become a basic enterprise asset that enables better, faster, cheaper business processes, and truly data-driven organizations are committed to gathering data concerning all aspects of the business.

Spotlight

Big data and analytic initiatives within enterprises have been rapidly maturing from experimental efforts to production-ready deployments. Businesses are increasing pressures on IT to extract greater value from information generated by web, social media, mobile, and other untapped data sources while making it easy to support a larger user population and allow for greater insights from the existing environments. In planning and revamping analytical efforts, embracing big data projects, such as Hadoop, as part of the enterprise architecture is becoming a crucial part of strategic efforts to drive competitive advantage in making decisions and running operations.


OTHER PAST CONFERENCES

Data Summit 2022

November 3-4, 2022 | UK

This year Data Summit is going to be bigger, more inspiring, and more cutting edge than ever before. We’re welcoming quantum computing professors, nanotechnologists, entrepreneurs, data ethicists, philosophers, musicians and artists, and so many more, to talk on the overarching theme of ‘hope’ – focusing on how data and AI can be used to create a better world and society.

Spatial Data Science Conference New York 2022

October 20, 2022 | USA

The conference will feature a series of keynote presentations and workshops that cover cutting-edge techniques in spatial modeling, machine learning, alternative data streams, spatial statistics, the role of geospatial in sustainability & much more.

The 4th Colloquium on Analytics, Data Science, and Computing (CADSCOM 2022)

November 19, 2022 | USA

The Twin Cities ACM Chapter invites students, faculty, and professionals to CADSCOM 2022! The 4th Colloquium on Analytics, Data Science, and Computing (CADSCOM) will be held in-person and virtually on Saturday, November 19, 2022. CADSCOM provides an excellent opportunity for faculty, students, and professionals to share their original research in data science, analytics, and computing. The submissions are peer-reviewed and double-blind reviewed. The colloquium will feature prominent keynotes, industry-faculty panels, and peer-reviewed papers. CADSCOM 2022 has been approved by the Association for Computing Machinery (ACM) as a chapter conference.

Destination Lakehouse: All your data, analytics and AI on one platform

November 2, 2022 | USA

The data lakehouse is the future for modern data teams seeking to innovate with a data architecture that simplifies data workloads, eases collaboration, and maintains the flexibility and openness to stay agile as a company scales. The Databricks Lakehouse Platform realizes this idea by unifying analytics, data engineering, machine learning and streaming workloads across clouds on one simple, open data platform. In this session, learn how the Databricks Lakehouse Platform can meet your needs for every data and analytics workload, with examples of real-customer applications, reference architectures and demos to showcase how you can create modern data solutions of your own.

Spotlight

Big data and analytic initiatives within enterprises have been rapidly maturing from experimental efforts to production-ready deployments. Businesses are increasing pressures on IT to extract greater value from information generated by web, social media, mobile, and other untapped data sources while making it easy to support a larger user population and allow for greater insights from the existing environments. In planning and revamping analytical efforts, embracing big data projects, such as Hadoop, as part of the enterprise architecture is becoming a crucial part of strategic efforts to drive competitive advantage in making decisions and running operations.

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