DataKitchen

JUNE 6, 2025

Data Quality Testing: A Shared Resource for Modern Data Teams In today’s AI-driven landscape, where data is king, every role in the modern data and analytics ecosystem shares one fundamental responsibility: ensuring that incorrect data never reaches business customers. Whether you’re a Data Engineer building ETL pipelines, a Data Scientist developing predictive models, or a Data Steward ensuring compliance, we all want the same outcome: data that is trustworthy, accurate, and underst

Data Quality 183

Data Quality Testing Dashboards Metrics 183

Analytics Vidhya

JUNE 6, 2025

Customer-facing conversational AI assistants don’t operate in a vacuum. They are embedded within well-defined business processes. That’s why these systems are expected to reliably and consistently guide users through each step of a predetermined workflow. However, existing agentic frameworks that leverage a concept of tool calling or function calling to interact with systems (such as […] The post Build a Conversational AI Agent with Rasa appeared first on Analytics Vidhya.

Interactive 162

Interactive Analytics 162

O'Reilly on Data

JUNE 6, 2025

In a recent episode of High Signal , we spoke with Dr. Fei-Fei Li about what it really means to build human-centered AI, and where the field might be heading next. Fei-Fei doesn’t describe AI as a feature or even an industry. She calls it a “civilizational technology”—a force as foundational as electricity or computing itself. This has serious implications for how we design, deploy, and govern AI systems across institutions, economies, and everyday life.

Uncertainty 157

Uncertainty Interactive Modeling Marketing 157

Analytics Vidhya

JUNE 6, 2025

LinkedIn is the de facto social networking site for professionals. With over a billion users on the platform and 7 people getting hired each minute, it has positioned itself as the mainstream career market. A survey shows, LinkedIn candidates are given higher precedence than candidates from the other channels, and over 72% of recruiters prefer […] The post 5 Ways to Market Yourself as a Data Professional on LinkedIn appeared first on Analytics Vidhya.

Marketing 169

Marketing Analytics IT 169

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 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.

IT

KDnuggets

JUNE 6, 2025

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Error Handling Patterns in Python (Beyond Try-Except) Stop letting errors crash your app. Master these 5 Python patterns that handle failures like a pro!

Machine Learning 100

Machine Learning Data Science Advertising Reporting 100

KDnuggets

JUNE 6, 2025

Stay ahead in 2025 with the latest OCR models optimized for speed, accuracy, and versatility in handling everything from scanned documents to complex layouts.

Modeling 82

Modeling Optimization 82

AWS Big Data

JUNE 6, 2025

At AWS re:Invent 2024, we introduced a no code zero-ETL integration between Amazon DynamoDB and Amazon SageMaker Lakehouse , simplifying how organizations handle data analytics and AI workflows. This integration alleviates the traditional challenges of building and maintaining complex extract, transform, and load (ETL) pipelines for transforming NoSQL data into analytics-ready formats, which previously required significant time and resources while introducing potential system vulnerabilities.

Analytics 70

Analytics Data Architecture Insurance Big Data 70

Smart Data Collective

JUNE 6, 2025

Cookies help us display personalized product recommendations and ensure you have great shopping experience. Accept X By using this site, you agree to the Privacy Policy and Terms of Use. Accept Analytics Analytics Show More Improving LinkedIn Ad Strategies with Data Analytics 9 Min Read Data Helps Speech-Language Pathologists Deliver Better Results 6 Min Read How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity 8 Min Read Data Analytics Is Revolutionizing Medical Cred

Big Data 83

Big Data Marketing Data-driven Strategy 83

Paris Technologies

JUNE 6, 2025

Explore how smarter CapEx forecasting connects financial planning with workforce needs to support long-term investment strategies across departments.

Forecasting 52

Forecasting Strategy Finance Business Intelligence 52

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

ROI