Big Data Paris

May 27-28, 2020 | USA

We are proud silver sponsors of Big Data Paris. Make sure you stop by our booth and check out our 30 minute workshops. Stay tuned for more details, we hope to see you there!

Spotlight

Early adopters of Big Data and advanced analytics spent a significant percent of IT budgets modernizing analytics capabilities. This involved scalable cloud-based architectures, integration frameworks, tuned compute and storage, Hadoop constructs, and visualizations. Let’s not exclude the necessity of the team of domain experts to construct intelligence around domain areas. Of the many firms looking to implement big data analytics, a startling few have the ability to invest the capital required to accomplish such an ambitious project.Make no mistake, the value delivered by successful projects is significant, but very few companies ever come close to meeting this goal. In reality, many do-it-yourself big data analytics projects fail to deliver on the expected target. In fact, according to one Gartner report*, up to 70% of BI projects fail to meet end-user expectations. The biggest obstacles are cost, lack of technology expertise, best practices, and domain knowledge to unlock the value in data.  For the fast followers, these massive upfront investments are no longer necessary to achieve equal or better results. Big Data and cloud companies, like FusionOps, are delivering innovative platforms at a significantly lower cost and faster time to value. At the end of the day, creating enterprise grade supply chain data analytics is not a core competency for most companies. CIOs are finding that partnering with a cloud analytics provider is the best strategy for success. These partnerships help drive innovation by delivering powerful new analytics to business users with an enterprise-grade cloud. Studies show that customers eliminate the overhead and lengthy timetables associated with achieving real analytics value.


OTHER PAST CONFERENCES

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.

10th Annual Big Data for Intelligence Symposium

November 9-10, 2022 | USA

With 500 million granted in funding in the FY2023 NDAA to the new DoD CDAO, there is an effort now more than ever to scale up data analytics and utilize emerging technologies such as artificial intelligence to break down big data sets for improved decision making. The 10th Annual Big Data for Intelligence Symposium will bring together senior level members from the Intelligence Community (IC), Department of Defense (DoD), military, academia, & industry to discuss innovative strategies, initiatives, & partnerships toward harnessing big data for actionable intelligence & a strategic decision advantage. This year’s Symposium will feature the perspectives of various Senior level leaders & stakeholders, who are working to enhance the processing, analyzing, management, & accessibility of large data sets in order to produce usable intelligence that will both increase the speed of mission & deliver an enhanced capability to the Warfighter in contested near-peer environments.’

Disney Data & Analytics Conference

August 15-17, 2022 | USA

Gain knowledge, get inspired, and experience a unique conference that brings data and analytics to life as only Disney can. The Disney Data & Analytics Conference (DDAC) has a rich history of delivering exceptional content focused on data and analytics to business professionals of all backgrounds. From engaging breakout sessions to interactive networking opportunities, we’re confident you’ll see examples of how data-based, analytical decisions work in all areas of business.

Data Innovation Summit APAC

January 12, 2023 | Singapore

Welcome! The Data Innovation Summit is the largest and the most influential annual Data and AI event represented in three regions, bringing together the most innovative minds, enterprise practitioners, technology providers, start-up innovators and academics, working with Data Science, Big Data, ML, AI, Data Management, Data Engineering, IoT and Analytics, in one place to discuss ways to accelerate AI driven Transformation throughout companies, industries and public organisations.

Spotlight

Early adopters of Big Data and advanced analytics spent a significant percent of IT budgets modernizing analytics capabilities. This involved scalable cloud-based architectures, integration frameworks, tuned compute and storage, Hadoop constructs, and visualizations. Let’s not exclude the necessity of the team of domain experts to construct intelligence around domain areas. Of the many firms looking to implement big data analytics, a startling few have the ability to invest the capital required to accomplish such an ambitious project.Make no mistake, the value delivered by successful projects is significant, but very few companies ever come close to meeting this goal. In reality, many do-it-yourself big data analytics projects fail to deliver on the expected target. In fact, according to one Gartner report*, up to 70% of BI projects fail to meet end-user expectations. The biggest obstacles are cost, lack of technology expertise, best practices, and domain knowledge to unlock the value in data.  For the fast followers, these massive upfront investments are no longer necessary to achieve equal or better results. Big Data and cloud companies, like FusionOps, are delivering innovative platforms at a significantly lower cost and faster time to value. At the end of the day, creating enterprise grade supply chain data analytics is not a core competency for most companies. CIOs are finding that partnering with a cloud analytics provider is the best strategy for success. These partnerships help drive innovation by delivering powerful new analytics to business users with an enterprise-grade cloud. Studies show that customers eliminate the overhead and lengthy timetables associated with achieving real analytics value.

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