{"id":7591,"date":"2023-04-27T15:39:13","date_gmt":"2023-04-27T14:39:13","guid":{"rendered":"https:\/\/www.scichart.com\/?post_type=blog_scichart&p=7591"},"modified":"2023-04-27T15:39:13","modified_gmt":"2023-04-27T14:39:13","slug":"scichart-selected-as-finalist-for-gotech-awards-in-best-use-of-big-data-category","status":"publish","type":"blog_scichart","link":"https:\/\/www.scichart.com\/blog\/scichart-selected-as-finalist-for-gotech-awards-in-best-use-of-big-data-category\/","title":{"rendered":"SciChart Selected as Finalist for Go:Tech Awards in Best Use of Big Data Category"},"content":{"rendered":"

SciChart, a leading provider of software for big data visualization, has been selected as a finalist for the Go:Tech Awards<\/a> in the Best Use of Big Data category. This award recognizes businesses that create innovative software to process and visualize large data sets.<\/p>\n

The judging panel for this year’s Go:Tech Awards<\/a> included Ann Hiatt, an author and leadership strategist, Yiannis Maos, founder and CEO of Birmingham Tech, and Roland Emmans, Head of the Technology Sector at HSBC. The panel evaluated each applicant based on their journey, commercial success, and the impact their software makes in the world of big data.<\/p>\n

We think SciChart’s software was particularly valued for enabling mission-critical data visualisations in projects where it was previously not possible.<\/p>\n

The company serves over 10,000 customers in more than 80 countries across a range of domains, including scientific, engineering, and financial. The common thread among these customers is their need for real-time visualization of big data to achieve success.<\/p>\n

SciChart’s proprietary graphics engine, Visual Xccelerator\u2122, allows for intelligent data pre-processing and optimized drawing algorithms, making it the most efficient way to plot big-data charts and handle billions of data points in real-time<\/a> on Windows, as well as millions of data points<\/a> in browsers or mobile devices.<\/p>\n

The importance of big-data visualization is exemplified by SciChart’s use in Formula One<\/a>, where 6\/10 of the F1 grid teams, including McLaren’s Atlas, Williams F1, AMG, and others rely on SciChart to optimize race strategy by effectively visualising the large amount of data collected from hundreds of sensors. We are no.1 choice for automotive & motorsport.<\/p>\n

Similarly, NASA’s Streams application<\/a> uses SciChart to analyze billions of data points from flying spacecraft, telemetry from remote rovers, and track space debris millions of miles away.<\/p>\n

SciChart has also contributed to advancements in medical imaging<\/a>, with the University of Illinois achieving high-resolution medical imaging<\/a> and reducing tumour diagnostic time from weeks to hours through its use of SciChart. Read more on how SciChart is unlocking the power of medical data.<\/p>\n

SciChart began as a ‘bedroom business’ with the first version developed entirely by founder Andrew Burnett-Thompson<\/a> alongside his full-time job. The company has come a long way since then, serving thousands of customers worldwide. SciChart is grateful for its journey and the recognition it has received from the Go:Tech Awards.<\/p>\n

The winners of the Go:Tech Awards will be announced in June, and SciChart looks forward to meeting other finalists and the judging panel.<\/p>\n","protected":false},"excerpt":{"rendered":"

SciChart, a leading provider of software for big data visualization, has been selected as a finalist for the Go:Tech Awards […]<\/p>\n","protected":false},"author":37,"featured_media":7450,"menu_order":0,"comment_status":"closed","ping_status":"closed","template":"","blog_scichart_tag":[264],"acf":[],"yoast_head":"\nSciChart Selected as Finalist for Go:Tech Awards | SciChart<\/title>\n<meta name=\"description\" content=\"SciChart, a leading provider of software for big data visualization, and has been selected as a finalist for the Go:Tech Awards. 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