Remove 2020 Remove Data Quality Remove Deep Learning
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AI adoption in the enterprise 2020

O'Reilly on Data

Supervised learning is the most popular ML technique among mature AI adopters, while deep learning is the most popular technique among organizations that are still evaluating AI. In 2020, as in 2019, a plurality of respondents—almost 22%—identified a lack of institutional support as the biggest problem.

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The DataOps Vendor Landscape, 2021

DataKitchen

RightData – A self-service suite of applications that help you achieve Data Quality Assurance, Data Integrity Audit and Continuous Data Quality Control with automated validation and reconciliation capabilities. QuerySurge – Continuously detect data issues in your delivery pipelines. Data breaks.

Testing 304
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Deep automation: A CIO weapon for turning disruption into opportunity

CIO Business Intelligence

The IDC CIO Sentiment Survey has consistently shown automation climbing the priority list since 2020. Deep automation, like deep learning, combines simple components vertically — in multiple layers — to create sophisticated capabilities. Prioritize data quality to ensure accurate automation outcomes.

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Making Remarkable Energy Grids a Reality

CIO Business Intelligence

In 2020, just 29% of the world’s electricity came from renewable sources. [2] 3] (Download our infographic to learn more about recent trends.) Modern data analytics spans a range of technologies, from dedicated analytics platforms and databases to deep learning and artificial intelligence (AI).

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4 Tips for Processing Real-Time Data

CIO Business Intelligence

Real-time Analytics: The amount of real-time data in the global datasphere will grow from 9.5 zettabyes in 2020 to 51 zettabytes in 2025. On-Premises Requirements for Sensitive Data. One approach to consider is to migrate data to the public cloud. Ready to evolve your analytics strategy or improve your data quality?

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Your 5-Step Journey from Analytics to AI

CIO Business Intelligence

Data about customers, supply chains, the economy, market trends, and competitors must be aggregated and cross-correlated from myriad sources. . But the sheer volume of the world’s data is expected to nearly triple between 2020 and 2025 to a whopping 180 zettabytes. This is where artificial intelligence (AI) comes in.

Analytics 114
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Data Governance and Strategy for the Global Enterprise

Cloudera

Adam Wood, director of data governance and data quality at a financial services institution (FSI). It is pretty impressive just how much has changed in the enterprise machine learning and AI landscape. For the rest of the organizations though, machine learning and AI were much newer ideas.