Remove Business Intelligence Remove IoT Remove Performance Remove Sport
article thumbnail

A year on from Russia’s invasion, Ukrainian startups show astounding resilience

TechCrunch

Blocksport Blocksport builds Web3-ready platform solutions for the professional sports and entertainment industry to enable tokenization use cases for their fan community. Еfarm.pro “The IOT navigation field assistant for agricultural work that allows you to save resources and work more accurately.” Incorporated in Delaware, USA.

article thumbnail

6 Frontiers for Data Virtualization in 2021

TIBCO - Connected Intelligence

Your company has thousands of databases and 14,000 business intelligence users. Kafka, MQTT, drone data, weather feeds, IoT sensor readings. Some companies re-write algorithms to ensure performance, security, and scale. business intelligence.]. Five: Data Virtualization as a Team Sport. Easy, right?

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

Trending Sources

article thumbnail

SAP HANA: A Fantasy Football Use Case

CTOvision

The demand for fantasy sports has been driven by fans' desire to get more involved with the sport they love and fueled by the availability of vast amounts of league and player data. Double Delight for Sports Fanatics as the Fantasy Market Partners with Fantasy Data (listfree.org). Read more on diginomica and pc world.

Sport 116
article thumbnail

Lumada Video Insights And DataOps Add Value to Video Assets

Hu's Place - HitachiVantara

Most retail businesses, transportation centers, sports facilities, and school campuses in London have cameras for surveillance purposes which are not counted in the 51,000 installed by the police. Video data is IoT data and it is massive. The average person in London is captured on camera about 300 times per day.

Video 45
article thumbnail

Top Data Science experts you should know about

Apiumhub

Ronald van Loon has been recognized among the top 10 global influencers in Big Data, analytics, IoT, BI, and data science. As the director of Advertisement, he works to help data-driven businesses be more successful. Bernard Marr is a Big Data and analytics expert, strategic performance consultant, keynote speaker, and author.

article thumbnail

Analytics Maturity Model: Levels, Technologies, and Applications

Altexsoft

We will describe each level from the following perspectives: differences on the operational level; analytics tools companies use to manage and analyze data; business intelligence applications in real life; challenges to overcome and key changes that lead to transition. Ground level of analytics. Data warehouse architecture.

Analytics 102