Analytics

Learning how to measure genAI’s impact

Measuring the performance boost from a new CPU is pretty straightforward, but how to measure the performance of an AI model? Developers, tech, and business leaders are being asked to quantify generative AI’s return on investment. Our top stories this month have answers.

By Josh Fruhlinger

Apr 18, 20252 mins

Business IntelligenceGenerative AIMachine Learning

Better together? Why AWS is unifying data analytics and AI services in SageMaker

By Anirban Ghoshal

Dec 6, 20245 mins

Artificial IntelligenceData ScienceGenerative AI

Get started with Azure AI Content Understanding

By Simon Bisson

Dec 5, 20248 mins

Data MiningGenerative AIMicrosoft Azure

Articles

Understanding unstructured data in the context of AI

What’s the best way to store, search, and analyze content not based on their technical characteristics but on their meaning?

By James Luan

Dec 3, 2024 8 mins

Big DataDatabasesGenerative AI

3 data engineering trends riding Kafka, Flink, and Iceberg

The Apache Kafka, Apache Flink, and Apache Iceberg communities are developing new ways for engineers to manage data and meet application needs.

By Adi Polak

Nov 25, 2024 5 mins

Data EngineeringData ManagementSoftware Development

Dataframes explained: The modern in-memory data science format

Dataframes are a staple element of data science libraries and frameworks. Here's why many developers prefer them for working with in-memory data.

By Serdar Yegulalp

Nov 6, 2024 6 mins

Data ManagementData Science

How to support accurate revenue forecasting with data science and dataops

Data science and dataops have a critical role to play in developing revenue forecasts business leaders can count on.

By Isaac Sacolick

Nov 5, 2024 8 mins

Artificial IntelligenceData ScienceMachine Learning

Overcoming data inconsistency with a universal semantic layer

Disparate BI, analytics, and data science tools result in discrepancies in data interpretation, business logic, and definitions among user groups. A universal semantic layer resolves those discrepancies.

By Artyom Keydunov

Nov 1, 2024 7 mins

Business IntelligenceData Management

The best Python libraries for parallel processing

Do you need to distribute a heavy Python workload across multiple CPUs or a compute cluster? These seven frameworks are up to the task.

By Serdar Yegulalp

Oct 23, 2024 11 mins

Data ScienceDevelopment Libraries and FrameworksPython

Julia language adds lower-overhead Memory type

Dynamic language built for fast numerical computing introduces lower-level alternative to Array that delivers significant speedups and more maintainable code.

By Paul Krill

Oct 8, 2024 3 mins

Data ScienceJuliaProgramming Languages

5 ways data scientists can prepare now for genAI transformation

GenAI is undoubtedly changing how data scientists and analysts work, including tools, processes, and deliverables. Here’s what data scientists can do now to prepare.

By Isaac Sacolick

Oct 7, 2024 10 mins

Data ScienceGenerative AISoftware Development

5 ways companies can use time-series forecasting

Recent advances in AI, such as foundation models, make it possible for smaller companies to build custom models to make predictions, reduce uncertainty, and gain business advantage.

By Cristian Challu

Oct 7, 2024 5 mins

Artificial IntelligenceMachine LearningPredictive Analytics

Microsoft gives enterprises new reasons to adopt Fabric

At its European Fabric Community Conference last week, Microsoft released a volley of incremental updates to woo enterprises to its data platform.

By Anirban Ghoshal

Sep 30, 2024 7 mins

Business IntelligenceData EngineeringData Warehousing

Microsoft unveils Python Data Science Extension Pack for Visual Studio Code

New extension pack bundles VS Code extensions for Python language support, Jupyter notebooks, data wrangling, and the GitHub Copilot AI-powered programming assistant.

By Paul Krill

Sep 20, 2024 2 mins

Data SciencePythonVisual Studio Code

Life without Python’s ‘dead batteries’

Python 3.13 is coming soon, and it will leave Python’s ‘dead batteries’ behind. Now’s the time to learn how to live without them. Also, get started with Pillow, enums, and the 'ast' library.

By Serdar Yegulalp

Sep 13, 2024 2 mins

Data SciencePythonWeb Development