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Beyond “Prompt and Pray”

O'Reilly on Data

Its quick to implement and demos well. TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. Picture this: The current state of conversational AI is like a scene from Hieronymus Boschs Garden of Earthly Delights.

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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Watch the Launch Webinar Here: [link] Download Now Request Demo Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. Imagine an open-source tool thats free to download but requires minimal time and effort. Upgrade today and take control of your data quality!

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IBM claims $3.5 billion productivity boost through AI agent use

CIO Business Intelligence

In IBMs human resources function, its AskHR agent has been used to automate 94% of simple tasks such as vacation requests and pay statements. In IBMs human resources function, its AskHR agent has been used to automate 94% of simple tasks such as vacation requests and pay statements. The bottom line?

Finance 128
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5 things on our data and AI radar for 2021

O'Reilly on Data

MLOps attempts to bridge the gap between Machine Learning (ML) applications and the CI/CD pipelines that have become standard practice. ML presents a problem for CI/CD for several reasons. The Time Is Now to Adopt Responsible Machine Learning. The era in which tech companies had a regulatory “free ride” has come to an end.

Data Lake 362
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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

Speaker: Tamara Fingerlin, Developer Advocate

release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time. With the 3.0 Join Airflow expert, Tamara Fingerlin, to get an in-depth look at everything you need to know about the 3.0 has to offer!

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Accelerate Amazon Redshift secure data use with Satori – Part 2

AWS Big Data

If they see a dataset that they need but dont have access to, they can request access to this data on-demand. The request is sent to the admin and, based on the users credentials, the admin can choose to approve or deny access. Complete the following steps: Navigate to the Datasets page and choose User Access Requests.

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Ingest data from Google Analytics 4 and Google Sheets to Amazon Redshift using Amazon AppFlow

AWS Big Data

client ID, which Amazon AppFlow uses when requesting an OAuth 2.0 In this post, we show you how to establish the data ingestion pipeline between Google Analytics 4, Google Sheets, and an Amazon Redshift Serverless workgroup. For the steps to enable these APIs, see Enable and disable APIs on the API Console Help for Google Cloud Platform.

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Best Practices for Accelerating the Sales Process

Think about it: with outbound prospecting, requests from management, scheduled demos, and inbound calls, chaos can quickly work its way into your strategy, deeming a “speed wins” selling mentality downright ineffective. The bottom line is that, in B2B sales, speed is useless without control.