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7 ways gen AI can create more work than it saves

CIO Business Intelligence

JP Morgan Chase president Daniel Pinto says the bank expects to see up to $2 billion in value from its AI use cases, up from a $1.5 And the second is deploying what we call LLM Suite to almost every employee. Sometimes it actually creates more work than it saves due to legal and compliance issues, hallucinations, and other issues.

IT 141
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How To Succeed As a DataOps Engineer

DataKitchen

What makes an effective DataOps Engineer? You might ask what that means. Errors are an inherent part of data analytics. The product for a data engineer is the data set. For an analyst, the product is the analysis that they deliver for a data object. We’re looking to create a repeatable process.

Testing 246
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A Data Prediction for 2025

DataKitchen

We’ve read many predictions for 2023 in the data field: they cover excellent topics like data mesh, observability, governance, lakehouses, LLMs, etc. Here at DataKitchen, we wanted to take a different approach: look at a three-year horizon. What will the world of data tools be like at the end of 2025?

Metadata 130
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What is data science? Transforming data into value

CIO Business Intelligence

What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. Data science gives the data collected by an organization a purpose. Data science vs. data analytics.

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The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure

DataKitchen

The Ten Standard Tools To Develop Data Pipelines In Microsoft Azure. While working in Azure with our customers, we have noticed several standard Azure tools people use to develop data pipelines and ETL or ELT processes. We counted ten ‘standard’ ways to transform and set up batch data pipelines in Microsoft Azure.

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AI adoption accelerates as enterprise PoCs show productivity gains

CIO Business Intelligence

Leveraging expertise at software developer Palantir Technologies, Redmond’s team developed a model that consolidated and cleansed the data from those systems, then analyzed it to provide insights — and fairly sophisticated recommendations — to decision makers. We don’t want to just go off to the next shiny object,” she says. “We

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Digital Analytics + Marketing Career Advice: Your Now, Next, Long Plan

Occam's Razor

The Next section provides advice on what you should be doing to invest in yourself to get ready for the depth and breadth change Artificial Intelligence is going to bestow upon us (regardless of your business role). The Next Career Plan: Prepping For An AI-First World. The Long Career Plan: Automation & Your Value To A Company.

Marketing 138