Fri.Sep 27, 2024

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5 LLM Tools I Can’t Live Without

KDnuggets

Large language models (LLMs) have transformed, and continue to transform, the AI and machine learning landscape, offering powerful tools to improve workflows and boost productivity for a wide array of domains. I work with LLMs a lot, and have tried out all sorts of tools that help take advantage of the models and their potential.

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The Global Impact of Cloudera in Our Daily Lives

Cloudera

Cloudera customers understand the potential impact of data, analytics, and AI on their respective businesses — reducing costs, managing risk, improving customer satisfaction, and generating new business opportunities that help to increase market share. But, what is the ultimate impact of all this effort and investment on each of us in our daily lives?

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Has Europe Gone Too Far? The Delicate Dance of Regulation and Innovation

KDnuggets

While one can argue that Europe’s cautious regulatory approach might hinder innovation and competition in AI compared to more permissive regions like the US and China, the challenge is more nuanced.

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Expanding Confluent's Integration with Microsoft Azure®: Create and Manage Confluent Resources Directly from the Azure Portal with Confluent's Fully Managed Connectors (Preview)

Confluent

Announcing the ability to create and manage Confluent resources, incl. topics, clusters, environments, and connectors—directly in the Azure portal itself (preview).

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Get an Additional 30% off Courses – Offer Ends in 3 Days!

KDnuggets

One of the major platforms that the majority of us scope when we are looking to take up a new course is the popular learning platform Coursera. From free courses to paid certification and online degrees, Coursera is a well-known learning platform for many people around the world, regardless of their background. If you’re.

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Revolutionizing Data Queries with TextQL: Insights from Co-Founder Ethan Ding

Striim

Can AI really make your data analysis as easy as talking to a friend? Join us for an enlightening conversation with Ethan Ding, the co-founder and CEO of TextQL, as he shares his journey from Berkeley graduate to pioneering the text-to-SQL technology that’s transforming how businesses interact with their data. Discover how natural language queries are breaking down barriers, making data analysis accessible to everyone, regardless of technical skill.

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The Evolution of Customer Data Modeling: From Static Profiles to Dynamic Customer 360

phData: Data Engineering

Introduction: The Customer Data Modeling Dilemma You know, that thing we’ve been doing for years, trying to capture the essence of our customers in neat little profile boxes? Yeah, that one. Well, here’s the kicker: we’ve been doing it wrong. Or at least, not entirely right. For years, we’ve been obsessed with creating these grand, top-down customer data models.

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A Comprehensive Overview of Microsoft Fabric & Its Use Cases

RandomTrees

What is Microsoft Fabric? A cloud-based software as a service (SaaS) called Microsoft Fabric combines several data and analytics technologies that businesses require. Data Factory, Data Activator, Power BI, Synapse Real-Time Analytics, Synapse Data Engineering, Synapse Data Science, and Synapse Data Warehouse are some of them. With One Lake serving as a primary multi-cloud repository, Fabric is designed with an open, lake-centric architecture.

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8 Best Azure ETL Tools for Data Engineers to Consider in 2024

Hevo

In the data engineering industry, managing your data is critical for driving business. Data is gathered from various sources in all shapes and forms, and without the right set of tools, it is impossible to use this data for meaning analysis. If you work with a cloud environment, you must have heard of Microsoft Azure.