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PODCAST: The Evolution and Impact of Enterprise AI

bridgei2i

Analytics Insight ยท Exclusive Interaction with Prithvijit Roy, CEO & Co-Founder, BRIDGEi2i Analytics. He emphasizes how AI can be made real for enterprises by empowering organizations with data-driven decision making by using advanced analytics algorithms. The Evolution and Impact of Enterprise AI.

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The Future Is Hybrid Data, Embrace It

Cloudera

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB.

IT 108
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Big Data Paves The Way For Fantastic New Social Listening Tools

Smart Data Collective

Big data is playing a more important role than ever in fine-tuning the relationship between customers and brands. The Complex Role Between Big Data and Social Listening Tools. The majority of consumers who have good interaction with a brand on social networks are more likely to recommend that brand to others.

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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data โ€“ another 50 ZB.

IT 75
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

We are far too enamored with data collection and reporting the standard metrics we love because others love them because someone else said they were nice so many years ago. It helps you to amplify whatโ€™s proven to work, throw away what isnโ€™t, and tweak the goal-posts when data indicates that they may be in the wrong place.

Metrics 156
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A blazingly fast database in a data-driven world

IBM Big Data Hub

A database is a crucial engine for a world becoming more data driven. Businesses are more heavily relying on smart insights and emerging patterns to succeed. Advancements in software and hardware had an interplay between the rising appetite for any organization making a data-driven decision.

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Accomplish Agile Business Intelligence & Analytics For Your Business

datapine

It’s necessary to say that these processes are recurrent and require continuous evolution of reports, online data visualization , dashboards, and new functionalities to adapt current processes and develop new ones. The term “agile” was originally conceived in 2011 as a software development methodology.