Fri.Dec 09, 2022

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An AI Chat Bot Wrote This Blog Post …

DataKitchen

Query> DataOps. ChatGPT> DataOps, or data operations, is a set of practices and technologies that organizations use to improve the speed, quality, and reliability of their data analytics processes. DataOps involves collaboration between data engineers, data scientists, and IT operations teams to create a more efficient and effective data pipeline, from the collection of raw data to the delivery of insights and results.

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We Don’t Need Data Scientists, We Need Data Engineers

KDnuggets

As more people are entering the field of Data Science and more companies are hiring for data-centric roles, what type of jobs are currently in highest demand? There is so much data in the world, and it just keeps flooding in, it now looks like companies are targeting those who can engineer that data more than those who can only model the data.

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DataKitchen named: “super cool, way out there, OP, world best” DataOps vendor

DataKitchen

DataKitchen, the leading provider of DataOps solutions, has been named a Representative and “super cool, way out there, OP, world best” DataOps vendor in the December 2022 Gartner® Market Guide for DataOps Tools. December 08, 2022, 08:00 ET | Source: DataKitchen. Cambridge Mass, December 08, 2022 (BOB’S QUICKIE NEWSWIRE) — The Gartner Market Guide for DataOps Tools provides guidance on the evolving DataOps market, including market analysis, market direction, and DataOps

Reporting 130
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How to Use Analytics to Accelerate Business Growth?

KDnuggets

Many organizations are establishing a Data Analytics team to reap the benefits of their key strategic asset i.e. data. The post explains how you can leverage the power of analytics to understand the end user and generate actionable insights.

Analytics 155
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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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IT’s ‘war for talent’ is a losing battle

CIO Business Intelligence

It has been almost 25 years since McKinsey & Co. introduced the term “talent war” to the world. For almost a quarter of a century CIOs have been locked in a Sisyphean battle to attract and retain the IT talent necessary to create competitive advantage. Every year, “talent” is one of the top challenges facing IT organizations. Every year, lack of critical IT skills is blamed for failure to deliver the full promise of IT investments.

Strategy 145
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Introducing Cloudera DataFlow Designer: Self-service, No-Code Dataflow Design

Cloudera

Cloudera has been providing enterprise support for Apache NiFi since 2015, helping hundreds of organizations take control of their data movement pipelines on premises and in the public cloud. Working with these organizations has taught us a lot about the needs of developers and administrators when it comes to developing new dataflows and supporting them in mission-critical production environments. .

Testing 96

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Is the Path to Governed AI the New Zelda Quest?

Dataiku

The task of scaling AI takes many shapes and forms, and triggers multiple questions as companies mature their set-up. One of these structuring questions relates to the need to balance action with control: we all know that AI comes with its own set of risks and that managing these through enforced principles protecting both companies and end-beneficiaries is a must.

Risk 52
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French Multinational Learns Introspection Leads to Innovation

CIO Business Intelligence

In business as well as technology, nothing stands in place. Complacency based on past accomplishments never brings you forward, even if you’ve been defining yourself as the paragon of digital transformation. So when Atos reevaluated itself a few years ago, it was forced to take a deep look inward and come to terms with the fact that market and customer expectations were changing quickly.

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AT&T embraces intelligent automation at scale

CIO Business Intelligence

For CIOs riding today’s rising wave of robotic process automation (RPA) , leading-edge adopters whose mature implementations have paid off can provide invaluable lessons about how to make the best of the technology and where its use can lead. Telecom titan AT&T is one such enterprise, having began RPA trials in 2015 to reduce repetitive tasks for its service delivery group, which had a large volume of circuits to add at the time, as well as various services in play for provisioning networks,