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7 Key Highlights from Geoffrey Hinton on Superintelligent AI

Analytics Vidhya

If the Godfather of AI, tells you to “train to be a plumber” you know that you got to pay attention, atleast thats what got me hooked. In a recent conversation, Geoffrey Hinton discussed the various possibilities in the upcoming era of superintelligent AI and if you are wondering how did this conversation go about, […] The post 7 Key Highlights from Geoffrey Hinton on Superintelligent AI appeared first on Analytics Vidhya.

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When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares

DataKitchen

When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares As data engineers, we’ve all been there. A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent reports. We dive deep into data validation, check our transformations, and examine our schemas, only to discover the real culprit was something far more subtle: timing.

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A Practical Guide to Multimodal Data Analytics

KDnuggets

BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.

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Designing Collaborative Multi-Agent Systems with the A2A Protocol

O'Reilly on Data

It feels like every other AI announcement lately mentions “agents.” And already, the AI community has 2025 pegged as “the year of AI agents,” sometimes without much more detail than “They’ll be amazing!” Often forgotten in this hype are the fundamentals. Everybody is dreaming of armies of agents, booking hotels and flights, researching complex topics, and writing PhD theses for us.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

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.

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Data Lakehouses Enable Data as a Product

David Menninger's Analyst Perspectives

I have previously described how data as a product was initially closely aligned with data mesh , a cultural and organizational approach to distributed data processing. As a result of data mesh’s association with distributed data, many assumed that the concept was diametrically opposed to the data lake, which offered a platform for combining large volumes of data from multiple data sources.

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RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue

AWS Big Data

Real-time streaming data processing is a strategic imperative that directly impacts business competitiveness. Organizations face mounting pressure to process massive data streams instantaneously—from detecting fraudulent transactions and delivering personalized customer experiences to optimizing complex supply chains and responding to market dynamics milliseconds ahead of competitors.

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Agentic AI: A Self-Study Roadmap

KDnuggets

A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations.

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Webinar: A Guide to the Six Types of Data Quality Dashboards

DataKitchen

In this exciting webinar , Christopher Bergh discussed various types of data quality dashboards, emphasizing that effective dashboards make data health visible and drive targeted improvements by relying on concrete, actionable tests. He highlighted the importance of selecting dashboard types based on the data landscape and stakeholder needs, advocating for an iterative approach and showcasing their open-source software.

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Zoho unveils Zia Hubs, its answer to Copilot and Duet AI for unstructured content intelligence

CIO Business Intelligence

Zoho has launched Zia Hubs, a new AI-powered content intelligence layer that is designed to unlock insights from unstructured business data. The new tool is designed to help enterprises derive insights from any type of file format or structure, including PDFs, call logs, audio files, emails, and meeting recordings. A tool within Zoho WorkDrive, Zia Hubs leverages the company’s proprietary AI engine, Zia, to extract meaning, context, and actionable intelligence from a wide variety of file formats

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Agent Tooling: Connecting AI to Your Tools, Systems & Data

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.

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Andrej Karpathy on the Rise of Software 3.0

Analytics Vidhya

Let’s talk about the future of software, and trust me, it’s happening right now! I recently caught Andrej Karpathy’s keynote at AI Startup School in San Francisco, and wow, I had to share what I learned. Karpathy, who has previously worked at Tesla, OpenAI, and Stanford, gave us an insider look at Software 3.0, the next big evolution in programming.

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Reduce time to access your transactional data for analytical processing using the power of Amazon SageMaker Lakehouse and zero-ETL

AWS Big Data

As the lines between analytics and AI continue to blur, organizations find themselves dealing with converging workloads and data needs. Historical analytics data is now being used to train machine learning models and power generative AI applications. This shift requires shorter time to value and tighter collaboration among data analysts, data scientists, machine learning (ML) engineers, and application developers.

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NotebookLM + Deep Research: The Ultimate Learning Hack

KDnuggets

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 NotebookLM + Deep Research: The Ultimate Learning Hack Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.

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The Data Quality Revolution Starts with You

DataKitchen

The Data Quality Revolution Starts with One Person (Yes, That’s You!) Picture this: You’re sitting in yet another meeting where someone asks, “Can we trust this data?” and the room falls silent. Sound familiar? If you’re nodding along, congratulations—you’ve just identified yourself as the perfect candidate to become your organization’s data quality champion.

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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AI PCs will shape the future of work – but not everyone will get one

CIO Business Intelligence

I spoke with IDC’s Ryan Reith, Group Vice President, WW Device Trackers , at IDC’s 60th annual Directions conference. Ryan and his IDC colleagues advise senior IT leaders around technology strategy – in his case focusing on end user devices. From the benefit of that experience Ryan said that although there is no critical use case for AI PCs today, organizations should be thinking about the future of their workforce and the devices they will need.

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How Multimodal LLMs Work – The Vision Story

Analytics Vidhya

Multimodal Large Language Models (MLLMs) have lately become the talk of the AI universe. It is dynamically reshaping how AI systems understand and interact with our complex, multi-sensory world. These multi-sensory inputs that we get can also be coined as our different modalities (images, audio, etc.). From Google’s latest Veo 3, generating state-of-the-art videos to […] The post How Multimodal LLMs Work – The Vision Story appeared first on Analytics Vidhya.

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Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

Smart Data Collective

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

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The 7 Most Useful Jupyter Notebook Extensions for Data Scientists

KDnuggets

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 The 7 Most Useful Jupyter Notebook Extensions for Data Scientists In this article, we will explore seven different Jupyter Notebook extensions that will improve your work.

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Data Talks, CFOs Listen: Why Analytics Are Key To Better Spend Management

Speaker: Claire Grosjean, Global Finance & Operations Executive

Finance teams are drowning in data—but is it actually helping them spend smarter? Without the right approach, excess spending, inefficiencies, and missed opportunities continue to drain profitability. While analytics offers powerful insights, financial intelligence requires more than just numbers—it takes the right blend of automation, strategy, and human expertise.

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MCP: What It Is and Why It Matters—Part 4

O'Reilly on Data

This is the last of four parts in this series. Part 1 can be found here , Part 2 here , and Part 3 here. 9. Future Directions and Wishlist for MCP The trajectory of MCP and AI tool integration is exciting, and there are clear areas where the community and companies are pushing things forward. Here are some future directions and “wishlist” items that could shape the next wave of MCP development: Formalized security and authentication: As noted, one of the top needs is standard security mechanisms

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Secure access to a cross-account Amazon MSK cluster from Amazon MSK Connect using IAM authentication

AWS Big Data

Amazon Managed Streaming for Apache Kafka (MSK) Connect is a fully managed, scalable, and highly available service that enables the streaming of data between Apache Kafka and other data systems. Amazon MSK Connect is built on top of Kafka Connect , an open-source framework that provides a standard way to connect Kafka with external data systems. Kafka Connect supports a variety of connectors, which are used to stream data in and out of Kafka.

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Top 7 Free AI Image Generators: Which Tool Wins?

Analytics Vidhya

With AI everywhere, you would be a fool not to use it for image generation. Be it creating content for your online blog, social channels, or just an invite for your birthday party (do invite us), AI is sure to make image generation super simple and fast. What’s more, some of the best AI image […] The post Top 7 Free AI Image Generators: Which Tool Wins?

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8 steps to ensure data privacy compliance across borders

CIO Business Intelligence

As organizations expand internationally, IT leaders must navigate a maze of regulations, from the General Data Protection Regulation (GDPR), to the California Consumer Privacy Act (CCPA), as well as other region-specific privacy laws. So to stay compliant, they should have strong plans that cover data mapping, encryption, consent tracking, and see that vendors follow the rules.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

KDnuggets

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 Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?

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How to Implement DevSecOps Without Slowing Down Delivery

DataFloq

When it comes to software development, the two most important things are security and speed. Traditional security measures can sometimes slow down releases. DevSecOps integrates security into the DevOps pipeline. The idea is great, but most teams struggle to strike a balance between speed and safety. The key is to embed security into the development lifecycle without compromising speed.

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Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose

AWS Big Data

In today’s data-driven/fast-paced landscape/environment real-time streaming analytics has become critical for business success. From detecting fraudulent transactions in financial services to monitoring Internet of Things (IoT) sensor data in manufacturing, or tracking user behavior in ecommerce platforms, streaming analytics enables organizations to make split-second decisions and respond to opportunities and threats as they emerge.

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How to Build Your Own Newsletter AI Agent

Analytics Vidhya

With the evolution of AI and its integration with social media, there is no doubt that it helps in creating valuable content. Since it has led to reducing human interaction, the aftermath of this integration has resulted in reduced attention span. So the question is, how can you get undivided attention from your reader while […] The post How to Build Your Own Newsletter AI Agent appeared first on Analytics Vidhya.

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.