Wed.Jan 29, 2025

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Precisely Automate Enhancements: 7 Reasons to Modernize in 2025

Precisely

Key Takeaways: Modernizing your Precisely Automate environment ensures compatibility with the latest SAP technologies, supports multiple interfaces like SAP Fiori and GUI for HTML, and enhances efficiency Upgrading from legacy systems like Foundation and Studio with Connect boosts security, reduces costs, and unlocks advanced features like AI-powered autocomplete and cloud-hosted solutions.

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Coding with Qwen 2.5: An Overview

KDnuggets

Code smarter, not harder with Qwen 2.5.

Coding 88
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Announcing DeepSeek-R1 in private preview on Snowflake Cortex AI

Snowflake

We are excited to bring DeepSeek-R1 to Snowflake Cortex AI! As described by DeepSeek , this model, trained via large-scale reinforcement learning (RL) without supervised fine-tuning (SFT), can achieve performance comparable to OpenAI-o1 across math, code and reasoning tasks. Based on DeepSeeks posted benchmarking, DeepSeek-R1 tops the leaderboard among open source models and rivals the most advanced closed source models globally.

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Data Wrangling in Rust with Polars

KDnuggets

Looking for efficient data wrangling in Rust? Polars offers fast, memory-safe tools for tasks like filtering, joining, and aggregating data.

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Apache Airflow® 101 Essential Tips for Beginners

Apache Airflow® is the open-source standard to manage workflows as code. It is a versatile tool used in companies across the world from agile startups to tech giants to flagship enterprises across all industries. Due to its widespread adoption, Airflow knowledge is paramount to success in the field of data engineering.

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Daily Risk of Severe Weather

ArcGIS

Explore severe weather patterns using the Space Time Kernel Density tool in ArcGIS Pro's Spatial Analyst extension.

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4 AI Reliability Challenges for Enterprise Media Companies

Monte Carlo

As every organization seemingly races to adopt AI, we can learn a lot from early use cases and success stories. But it may be even more valuable to hear about and learn from the challenges of implementing enterprise AI products. Recently, we sat down with the data science team at a major media company to discuss exactly that. We talked about their plans for GenAI and the challenges theyve encountered as they incorporate large language models (LLMs) into their data products while prioritizing

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The Accounter: Scaling Operational Throughput on Uber’s Stateful Platform

Uber Engineering

Uber slashed operational costs using The Accounteran intelligent state manager that orchestrates large-scale tasks across our entire infrastructure, optimized for time and resources.

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Writing a formatter has never been so easy: a Topiary tutorial

Tweag

A bit more than one year ago, Tweag announced our open-source, universal formatting engine Topiary , based on the tree-sitter ecosystem. Since then, Topiary has been serving as the official formatter (under the hood) for the Nickel configuration language. Topiary also supports a bunch of other languages (CSS, TOML, OCaml, Bash) and we are seeing people trying it out to support even more languages such as Catala , Nushell , Nix , and more.

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Understanding Fine-Tuning for Large Language Models (LLMs): Why It Matters and Who Needs It

WeCloudData

In the age of AI, Fine Tuning Large Language Models (LLMs) like have revolutionized how businesses operate. These LLMs can generate human-like text, analyze vast datasets, and support complex decision-making. But not all companies can use off-the-shelf LLMs directly. This is where fine-tuning comes in, allowing businesses to customize LLMs for their specific needs.

IT 52
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Apache Airflow® Best Practices: DAG Writing

Speaker: Tamara Fingerlin, Developer Advocate

In this new webinar, Tamara Fingerlin, Developer Advocate, will walk you through many Airflow best practices and advanced features that can help you make your pipelines more manageable, adaptive, and robust. She'll focus on how to write best-in-class Airflow DAGs using the latest Airflow features like dynamic task mapping and data-driven scheduling!

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Time Intelligence Functions in Power BI: A Comprehensive Guide

Edureka

Imagine monitoring your business’s development over time without having to perform intricate Excel spreadsheets or calculations yourself. This process runs smoothly with the help of time intelligence functions in Power BI. Measures like Year-to-date (YTD), Month-to-Date (MTD), and Quarter-to-Date (QTD) can be created with a few clicks, improving your analysis.

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Data Cleaning in Python: Techniques and Best Practices

Edureka

Data Cleaning is very important for correct analysis and the performance of the model. Wrong data, like names spelled wrong, values not present, or records that aren’t correct, can make it hard to draw the right conclusions. Inconsistencies like negative sales or empty revenue fields, for instance, can throw off figures and trends. Cleaning data makes sure it is consistent, accurate, and in the right style, which stops mistakes and raises the quality of insights.

Python 52
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Group By in Power BI: Simplify and Summarize Data

Edureka

The Group By in Power BI lets you effectively Group and summarize an enormous number of associated data items. These include use cases such as sales analysis in regions, calculation of averages, identification of trends, and other functions that can turn a portion of huge datasets into actionable insights. This blog elaborates on the Group By functionality in Power Query and DAX , covering both the basic and advanced approaches.

BI 52