POINT OF VIEW: IOT AND ANALYTICS

January 11, 2019

Point of View: IoT and Analytics Most analysts agree that the number of connected devices will soon outnumber the world’s population, if it hasn’t already. Concurrent with the explosion in the number of devices, there’s been a tremendous growth in the amount of data generated. Whereas this data is being used by some businesses to better serve their customers, a large number of today’s businesses are largely unaware of their opportunities, challenges, and solutions to tap this vast resource.

Spotlight

Zdaly

More data will be created in 2017 than during the previous 20,000 years of humanity. Yet, less than 0.5% of all data is used for decision making. Historically, decision making was intuition driven due to lack of data; today it is still intuition driven due to data-overload. To stay ahead, decision-makers need the capability to consume vast amounts of data quickly, and not rely solely on intuition. Zdaly helps you achieve this by leveraging Artificial Intelligence to empower Human Intelligence.

OTHER WHITEPAPERS
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Artificial Intelligence and National Security

whitePaper | November 26, 2019

Artificial intelligence (AI) is a rapidly growing field of technology with potentially significant implications for national security. As such, the U.S. Department of Defense (DOD) and other nations are developing AI applications for a range of military functions. AI research is underway in the fields of intelligence collection and analysis, logistics, cyber operations, information operations, command and control, and in a variety of semiautonomous and autonomous vehicles. Already, AI has been incorporated into military operations in Iraq and Syria. Congressional action has the potential to shape the technology’s development further, with budgetary and legislative decisions influencing the growth of military applications as well as the pace of their adoption.

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Introducing Apache Druid

whitePaper | January 31, 2020

Many companies have invested heavily in specialized enterprise data warehouses (EDW) and Extract, Transform and Load (ETL) technologies to analyze their operational data. But these technologies were never designed to be truly real-time.They were originally built for batch, and that original design limits how real-timeEDWs and ETL can become. They were also designed to support a focused group ofanalysts, not a larger group of employees spanning operational functions, or even partner and end customers.

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Building a High-Performance Data Organization

whitePaper | May 6, 2022

Every organization today recognizes the strategic value of generating actionable insights from their enterprise data.

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Bridging the Data Talent Gap: How Enterprises are Reimagining the AI, Data and Analytics Workforce

whitePaper | July 12, 2022

In many ways, 2022 has been an exercise in dealing with the reeling of the Covid-19 pandemic. All over the world, supply chain issues have led to a myriad of challenges for enterprises, leading to deep shifts in how we do business and unraveling many of our assumptions about how society operates.

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Implementing an Operational Data Layer for Product Catalog Modernization

whitePaper | September 27, 2022

The product catalog is at the heart of any retail company- simply put it is the window into the list of all products that are for sale and their information. These days that information can be extensive- from name, dimensions, price (and per-store price) to images, videos, and third party reviews.

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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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Spotlight

Zdaly

More data will be created in 2017 than during the previous 20,000 years of humanity. Yet, less than 0.5% of all data is used for decision making. Historically, decision making was intuition driven due to lack of data; today it is still intuition driven due to data-overload. To stay ahead, decision-makers need the capability to consume vast amounts of data quickly, and not rely solely on intuition. Zdaly helps you achieve this by leveraging Artificial Intelligence to empower Human Intelligence.

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