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Why CIOs should invest in digital through economic headwinds

CIO

Approximately 34% are increasing investment in artificial intelligence (AI) and 24% in hyper-automation as well. Investing in ICI would supposedly increase growth for cities and businesses, and improve the lives of citizens. Sanchez-Reina suggested this was putting procurement in a shaker to find the best supplier and service.

Security 358
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Innovative Manufacturers are Investing in these Advanced Technologies

CIO

Answering these concerns, smart factories are moving to another edge: edge computing, where operational data from Internet of Things (IoT) sensors can be collected and processed for insights in near-real-time. They also see significant gains in areas such as regulatory compliance, process automation and business intelligence. [5]

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Data Lake vs Data Warehouse

The Crazy Programmer

While both a data lake and a data warehouse share the goal of the process data queries to facilitate analytics, their functions are different. One of the most common use cases is storing data coming from IoT sources for near-real-time analysis. In this case, organizations retain the data for a long time to help future research.

Data 162
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AI adoption accelerates as enterprise PoCs show productivity gains

CIO

Eli Lilly and Company is also at the forefront of adopting and integrating AI into the business. We’ve found that AI can help in just about every area to streamline workloads and advance our research and development,” says EVP and CIDO Diogo Rau. How do you go from data, to insights, to action in a continuous loop?”

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Anti-Predictions: 8 Future-proof Analytics Trends for 2021 and Beyond

TIBCO - Connected Intelligence

So, rather than chase buzzword mysticism of sage prognostication, let us default back to a tried-and-true model for charting a future-proof course forward: industry research trends. . Professional research fields often seek validation of directional trends with a minimum of three data points. Intelligent, adaptable business….

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Three Trends for Modernizing Analytics and Data Warehousing in 2019

Cloudera

Data analytics priorities have shifted this year. Growth factors and business priority are ever changing. Don’t blink or you might miss what leading organizations are doing to modernize their analytic and data warehousing environments. Natural Language Analysis and Streaming Data Analytics.

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What’s the delay when it comes to content analytics?

CTOvision

Organizations are dealing with ever-growing amounts of data – and to get value from that data they need to analyze it, so what is the hold up in deploying content analytics? This unparalleled amount of content has led to the term ‘content analytics’. But from recent research we here at AIIM carried out, this appears not to be the case.