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Moving Enterprise Data From Anywhere to Any System Made Easy

Cloudera

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. CDF-PC is a cloud native universal data distribution service powered by Apache NiFi on Kubernetes, ??allowing What is the modern data stack?

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Moving Enterprise Data From Anywhere to Any System Made Easy

CIO Business Intelligence

Since 2015, the Cloudera DataFlow team has been helping the largest enterprise organizations in the world adopt Apache NiFi as their enterprise standard data movement tool. CDF-PC is a cloud native universal data distribution service powered by Apache NiFi on Kubernetes, ??allowing What is the modern data stack?

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Sustainability trends: 5 issues to watch in 2024

IBM Big Data Hub

The IBM Envizi ESG Suite , for example, can collect hundreds of data types efficiently, analyze data across silos and deliver audit-ready reports easily—a process that would otherwise be labor and cost intensive. Join the IBM Sustainability Community 1 Green transition creates $10.3T

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Serving the Public Through Data

Cloudera

The Indian government has also been working towards going digital with the launch of Digital India in 2015, a campaign that sought to provide access to government services electronically. Data can be used to solve many problems faced by governments, and in times of crisis, can even save lives. .

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MLOps and the evolution of data science

IBM Big Data Hub

The term was originally coined in 2015 in a published research paper called, “Hidden Technical Debts in the Machine Learning System,” which highlighted common problems that arose when using machine learning for business applications. Looking to scale the impact of AI across your business?

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Mobile Marketing 2015: Rethink Customer Acquisition, Intent Targeting

Occam's Razor

Two companies, Skullcandy and TripIt, delivering on four amazing outcomes that inspire us to set the bar significantly higher for our mobile efforts in 2015 (or sooner!). That is what all marketing in 2015 will look like. Are you using the mobile platform to exchange data for value? Back to your business. Carpe Diem!

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Artificial Intelligence: Implications On Marketing, Analytics, And You

Occam's Razor

Yes, a silo but so much better than 2015. We are needed today because data collection is hard. Most humans employed by companies were unable to access data – not intelligent enough or trained enough or simply time pressures. Insane as it seems like, data collection should get sorted out in the next few years.