Remove 2022 Remove Data Analytics Remove Data Architecture
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Eight Top DataOps Trends for 2022

DataKitchen

Keep an eye on the eight top trends below that we believe will be significant in the year 2022. The data industry realizes that AI bias is simply a quality problem, and AI systems should be subject to this same level of process control as an automobile rolling off an assembly line. Data Gets Meshier. Data Gets Meshier.

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The Future Is Hybrid Data, Embrace It

Cloudera

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. That’s where modern data architectures like data lakehouse, data fabric and data mesh come in.

IT
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Data Journey First DataOps

DataKitchen

Data Journey First DataOps Putting Problems in Your Data Estate at the Forefront Welcome to the high-octane world of DataOps, a powerhouse that turbocharges data analytics development and management. The Why and How of ‘Data Journey First DataOps’ Let’s start with the ‘why.’

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The Future Is Hybrid Data, Embrace It

CIO Business Intelligence

Want to manage and analyze data of all types including machine, structured, transactional, and unstructured – anywhere? Only Cloudera has the power to span multi-cloud and on-premises with a hybrid data platform. That’s where modern data architectures like data lakehouse, data fabric and data mesh come in.

IT
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The Gartner 2022 Leadership Vision for Data and Analytics Leaders Questions and Answers

Andrew White

On Thursday January 6th I hosted Gartner’s 2022 Leadership Vision for Data and Analytics webinar. Which trends do you see for 2022 in AI & ML technology and tools and tool capabilities? – In the webinar and Leadership Vision deck for Data and Analytics we called out AI engineering as a big trend.

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AI at Scale isn’t Magic, it’s Data – Hybrid Data

Cloudera

A recent VentureBeat article , “4 AI trends: It’s all about scale in 2022 (so far),” highlighted the importance of scalability. Al needs machine learning (ML), ML needs data science. Data science needs analytics. And they all need lots of data. And that data is likely in clouds, in data centers and at the edge.

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New health data strategy for England promises privacy, tackles COVID backlog

CIO Business Intelligence

The strategy also highlighted its NHS COVID-19 Data Store as a case study for how data should be managed in the NHS, with the Data Store helping decision-makers to understand how COVID-19 was spreading, to ensure critical equipment was supplied to those with the greatest need, and to support clinical research.