KDnuggets

SEPTEMBER 26, 2024

Are you an aspiring data scientist or early in your data science career? If so, you know that you should use your programming, statistics, and machine learning skills—coupled with domain expertise—to use data to answer business questions. To succeed as a data scientist, therefore, becoming proficient in coding is essential. Especially for handling and analyzing.

Data Science 141

Data Science Coding Machine Learning Data 141

Cloudera

SEPTEMBER 26, 2024

The journey from a great idea for a Generative AI use case to deploying it in a production environment often resembles navigating a maze. Every turn presents new challenges—whether it’s technical hurdles, security concerns, or shifting priorities—that can stall progress or even force you to start over. Cloudera recognizes the struggles that many enterprises face when setting out on this path, and that’s why we started building Accelerators for ML Projects (AMPs).

Generalist 77

Generalist Machine Learning Datasets Structured Data 77

KDnuggets

SEPTEMBER 26, 2024

The launch of foundational models, popularly called Large Language Models (LLMs), created new ways of working – not just for the enterprises redefining the legacy ways of doing business, but also for the developers leveraging these models. The remarkable ability of these models to comprehend and respond in human-like language has given rise to.

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Engineering 100

Snowflake

SEPTEMBER 26, 2024

There’s no question which technology everyone’s talking about in retail. Generative AI continues to promote incredible levels of interest with its promise of next-level productivity and new kinds of employee and customer experience. It’s all happening at light speed. When ChatGPT burst onto the scene, it gained hundreds of millions of users in a matter of months.

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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?

Business Intelligence

KDnuggets

SEPTEMBER 26, 2024

Traditional static charts are useful, but interactive visuals offer more flexibility. They allow users to explore data, zoom in on details, and see changes over time. R has several packages that can be used to create interactive visualizations like tables, charts and maps. Getting Started To create interactive visualizations in R, you need.

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Data 94

Precisely

SEPTEMBER 26, 2024

Key Takeaways: Trusted AI requires data integrity. For AI-ready data, focus on comprehensive data integration, data quality and governance, and data enrichment. A structured, business-first approach to AI is essential. Start with clear business use cases and ensure collaboration between business and IT teams for the greatest impact. Building data literacy across your organization empowers teams to make better use of AI tools.

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Project Government Data Governance Data Integration 75

Monte Carlo

SEPTEMBER 26, 2024

Monte Carlo, the AI-first data observability platform, announced Tim Miller as the company’s first Chief Revenue Officer as it continues to bolster its leadership team. He will lead the company’s go-to-market operations worldwide, including business development, sales, and customer success. In this new role, Miller will drive Monte Carlo’s revenue strategies, operations, and growth initiatives, including the expansion of the company’s footprint across the enterprise and strategic markets.

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Media Database IT Data 69

Data Engineering Weekly

SEPTEMBER 26, 2024

Once again, I want to thank the Data Heros community. Last Friday, we discussed the challenges in bulk discovery and anonymization processes in data warehouses. The collective design choices and ideas lead to a comprehensive overview of thinking about designing data infrastructure with a privacy-first approach. Why care about privacy? Privacy and access management within data infrastructure is not just a best practice; it's a necessity.

Systems 67

Systems Engineering Data Warehouse Architecture 67

Striim

SEPTEMBER 26, 2024

In today’s fast-paced financial landscape, detecting transaction fraud is essential for protecting institutions and their customers. This article explores how to leverage Striim and SGDClassifier to create a robust fraud detection system that utilizes real-time data streaming and machine learning. Problem Transaction fraud detection is a critical responsibility for the IT teams of financial institutions.

MySQL 52

MySQL Datasets Database Retail 52

Confluent

SEPTEMBER 26, 2024

Atomic Tessellator uses data streaming and GenAI to revolutionize computational chemistry, enabling rapid catalyst discovery. Learn how here.

Data 59

Data 59

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

Data

Striim

SEPTEMBER 26, 2024

In today’s fast-paced financial landscape, detecting transaction fraud is essential for protecting institutions and their customers. This article explores how to leverage Striim and SDGClassifier to create a robust fraud detection system that utilizes real-time data streaming and machine learning. Problem Transaction fraud detection is a critical responsibility for the IT teams of financial institutions.

MySQL 52

MySQL Datasets Database Machine Learning 52

Towards Data Science

SEPTEMBER 26, 2024

One step forward; no steps back Continue reading on Towards Data Science »

Data Engineering 52

Data Engineering Data Engineer Engineering Data Science 52

ThoughtSpot

SEPTEMBER 26, 2024

Dear ThoughtSpot Community, I couldn't be more thrilled to announce that we're welcoming our new CEO to the ThoughtSpot family: Ketan Karkhanis. This marks a significant milestone in our journey, and I wanted to share why this is such an exciting development for all of us. A Time of Rapid Growth and Unprecedented Opportunity From day one, we have been focused on our mission—to make the world more fact-driven.

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