Posts In Category

Big Data

Transparency and data income plans
Big DataContributorsConversationsFeatured

Towards the end of 2021, I spoke with Julio Santos, the technical cofounder of Fractal – creators of the Fractal Protocol – on some of the essential topics in data sovereignty, privacy, and security.  As with my organization, polypoly, we have concerns over the free access significant companies have over

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Top 6 trends in data analytics
Big DataBI & AnalyticsContributorsData ScienceFeatured

For decades, managing data essentially meant collecting, storing, and occasionally accessing it. That has all changed in recent years, as businesses look for the critical information that can be pulled from the massive amounts of data being generated, accessed, and stored in myriad locations, from corporate data centers to the cloud

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Time and space data - vectorization and geospatial analytics
Big DataContributorsData ScienceFeaturedInternet of Things

According to IDC, IoT data is forecasted to reach 73 zettabytes by 2025, while a recent study by Deloitte estimates that 40% of IoT devices will be capable of sharing location in 2025, up from 10% in 2020. This means time and space data is the fastest-growing big data category

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Big data 2022
Big DataContributorsFeatured

Big data has already transformed how many industries operate. Now that the pandemic has accelerated digital transformation around the globe, the field has grown faster than most could have predicted. This unprecedented growth will undoubtedly bring considerable disruption in 2022. Big data will disrupt industries further as new challenges and

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Insurance, data science
FinanceArtificial IntelligenceBig DataContributors

Big data, specifically with the help of artificial intelligence (AI), empowers insurance companies to make better financial decisions. Data science can help mitigate fraudulent claims, enhance risk management, optimize customer support, and predict future events, among many other benefits. The result is higher profits for insurance companies and lower premiums

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Moving data - why is it so expensive?
ContributorsBig DataFeatured

Many company representatives commit to moving massive amounts of data to a new location and anticipate numerous advantages. For example, a small business could become more competitive after transferring some content to the cloud. Managing data on-site is a labor-intensive exercise that often becomes prohibitively challenging. Off-site service providers typically

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Video surveillance storage, data, and cameras
Technology & ITBig DataContributorsFeatured

This year a significant event will take place: somewhere in the world, the billionth CCTV camera will be installed. This means that a camera already monitors every seventh person on the planet. And in some cities, more than a million cameras are already in use, making the ratio even more

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Vectorization, UFOs, UAPs, and aliens
Big DataArtificial IntelligenceBI & AnalyticsData ScienceFeatured

If there’s one topic that has captured the public’s attention consistently over the decades, it is this: have aliens visited Earth, and have we caught them in the act on camera? Unidentified Flying Objects (UFOs) and Unidentified Aerial Phenomena (UAPs) tick all the boxes regarding our love of conspiracy theories,

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Combating infobesity
Big DataContributorsFeatured

“Infobesity” is a term we’re hearing more frequently these days as consumers are creating exponentially more data in their daily lives, and brands are similarly consuming larger portions. From eCommerce sites to a multitude of social media channels, there are terabytes of data available in today’s increasingly digital world. But,

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Predictive analytics in insurance
FinanceBig DataContributorsFeatured

Big data is one of the most rapidly growing industries in the world and was valued at $169 billion in 2018, with expectations to approach the $300 billion mark by the end of next year. Even with such monetary influence in the world already, the industry is still figuring itself

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