February, 2025

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The End of Programming as We Know It

O'Reilly on Data

Theres a lot of chatter in the media that software developers will soon lose their jobs to AI. I dont buy it. It is not the end of programming. It is the end of programming as we know it today. That is not new. The first programmers connected physical circuits to perform each calculation. They were succeeded by programmers writing machine instructions as binary code to be input one bit at a time by flipping switches on the front of a computer.

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China’s New AI Video Star: Step-Video-T2V

Analytics Vidhya

China is advancing rapidly in generative AI, building on successes like DeepSeek models and Kimi k1.5 in language models. Now, its leading the vision domain with OmniHuman and Goku excelling in 3D modeling and video synthesis. With Step-Video-T2V, China directly challenges top text-to-video models like Sora, Veo 2, and Movie Gen. Developed by Stepfun AI, […] The post Chinas New AI Video Star: Step-Video-T2V appeared first on Analytics Vidhya.

Modeling 277
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Announcing Open Source DataOps Data Quality TestGen 3.0

DataKitchen

Announcing DataOps Data Quality TestGen 3.0: Open-Source, Generative Data Quality Software. Now With Actionable, Automatic, Data Quality Dashboards Imagine a tool that can point at any dataset, learn from your data, screen for typical data quality issues, and then automatically generate and perform powerful tests, analyzing and scoring your data to pinpoint issues before they snowball.

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Goodbye digital transformation, hello AI-first business transformation

CIO Business Intelligence

Perhaps we got digital transformation wrong this whole time. Instead of focusing on the transformation part, we did a lot less transforming and a lot more digitalization. Instead of seeing digital as a new paradigm for our business, we over-indexed on digitizing legacy models and processes and modernizing our existing organization. As a result, most businesses remain saddled with complexity, department silos, and old ways of doing things.

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Whats New in Apache Airflow 3.0 –– And How Will It Reshape Your Data Workflows?

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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Hosting Khoj for Free: Your Personal Autonomous AI App

KDnuggets

Turn your local LLMs into a personal, autonomous AI application that can effortlessly retrieve answers from the web or your documents.

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Using Generative AI to Build Generative AI

O'Reilly on Data

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If youre in the trenches building tomorrows development practices today and interested in speaking at the event, wed love to hear from you by March 5.

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A Comprehensive Guide to Pre-training LLMs

Analytics Vidhya

We’re already into the second month of 2025, and every passing day brings us closer to Artificial General Intelligence (AGI)AI that can tackle complex problems across multiple sectors at a human level. Take DeepSeek, for instance. Until recently, could you have imagined an organization before 2024 that could build a cutting-edge Generative AI model for […] The post A Comprehensive Guide to Pre-training LLMs appeared first on Analytics Vidhya.

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No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically

DataKitchen

No Python, No SQL Templates, No YAML: Why Your Open Source Data Quality Tool Should Generate 80% Of Your Data Quality Tests Automatically As a data engineer, ensuring data quality is both essential and overwhelming. The sheer volume of tables, the complexity of the data usage, and the volume of work make manual test writing an impossible task to get done.

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What gives IT leaders pause as they look to integrate agentic AI with legacy infrastructure

CIO Business Intelligence

Agentic AI was the big breakthrough technology for gen AI last year, and this year, enterprises will deploy these systems at scale. According to a January KPMG survey of 100 senior executives at large enterprises, 12% of companies are already deploying AI agents, 37% are in pilot stages, and 51% are exploring their use. And in an October Gartner report, 33% of enterprise software applications will include agentic AI by 2033, up from less than 1% in 2024, enabling 15% of day-to-day work decisions

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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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Predictive Analytics Supports Citizen Data Scientists!

Smarten

Use Predictive Analytics for Fact-Based Decisions! Like every other business, your organization must plan for success. In order to do this, the team must have a dependable plan and be able to forecast results and create reasonable objectives, goals and competitive strategies. These plans and forecasts will support investment in technology, appropriate resources and hiring strategies, additional locations, products, services and marketing strategies, partnerships and other components of business

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Improve search results for AI using Amazon OpenSearch Service as a vector database with Amazon Bedrock

AWS Big Data

Artificial intelligence (AI) has transformed how humans interact with information in two major wayssearch applications and generative AI. Search applications include ecommerce websites, document repository search, customer support call centers, customer relationship management, matchmaking for gaming, and application search. Generative AI use cases include chatbots with Retrieval-Augmented Generation (RAG), intelligent log analysis, code generation, document summarization, and AI assistants.

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Bridging the AI Learning Gap

O'Reilly on Data

When I started working on the new edition of Head First C# back in 2023, AI tools like ChatGPT and Copilot were already changing how developers write and learn code. It was clear that I needed to cover them. But that raised an interesting challenge: How do you teach new and intermediate developers to use AI effectively? Almost all of the material that I found was aimed at senior developerspeople who can recognize patterns in code, spot the subtle errors often found in AI-generated code, and refi

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DeepSeek-R1 vs DeepSeek-V3: Detailed Comparison

Analytics Vidhya

DeepSeek has made significant strides in AI model development, with the release of DeepSeek-V3 in December 2024, followed by the groundbreaking R1 in January 2025. DeepSeek-V3 is a Mixture-of-Experts (MoE) model that focuses on maximizing efficiency without compromising performance. DeepSeek-R1, on the other hand, incorporates reinforcement learning to enhance reasoning and decision-making.

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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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Denodo’s Predictions for 2025

Data Virtualization

Reading Time: 4 minutes In 2024, generative AI (GenAI) became top-of-mind, as companies began to leverage it for increased productivity. Additionally, storage continued to grow in capacity, epitomized by an optical disk designed to store a petabyte of data, and the global Internet population. The post Denodos Predictions for 2025 appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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AI humanoid robots inch their way toward the workforce

CIO Business Intelligence

AI-based humanoid robots could soon start becoming a workforce reality, thanks to parallel advances in generative AI and electromechanical components and mechatronics, enabling robots to have reasoning skills as well as physical abilities that exceed their predecessors. Were still very early in the journey, but its only going to get better, says Dwight Klappich, a research vice president at Gartner.

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5 AI Agent Frameworks Compared

KDnuggets

Check out this comparison of 5 AI frameworks to determine which you should choose.

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Foundational blocks of Amazon SageMaker Unified Studio: An admin’s guide to implement unified access to all your data, analytics, and AI

AWS Big Data

Amazon SageMaker Unified Studio (preview) provides a unified experience for using data, analytics, and AI capabilities. You can use familiar AWS services for model development, generative AI, data processing, and analyticsall within a single, governed environment. Users can now build, deploy, and execute end-to-end workflows from a single interface.

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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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Ascending Levels of Nerd

O'Reilly on Data

In developing the content for our May 8 virtual conference Coding with AI: The End of Software Development as We Know It , we couldnt help but want to feature Harper Reed, whose recent post My LLM Codegen Workflow ATM so perfectly encapsulates the kind of experimentation that developers are going through as they come to grips with the transformation that AI is bringing to how they work, what they can accomplish, and which tools they should be adopting.

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How to Build an Anime Recommendation System with Hugging Face?

Analytics Vidhya

A few years ago, I fell into the world of anime from which Id never escape. As my watchlist was growing thinner and thinner, finding the next best anime became harder and harder. There are so many hidden gems out there, but how do I discover them? Thats when I thoughtwhy not let Machine Learning […] The post How to Build an Anime Recommendation System with Hugging Face?

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Why Choose Augmented Analytics with Low-Code, No-Code Development

Smarten

Low Code No Code Development Supports Analytics Performance Within the very near future, it is estimated that 70% of all software and application design will include a component of low-code or no-code development. So, it is no surprise that analytics software and tools are also affected by this trend. While advanced analytics and augmented analytics solutions provide a sophisticated, complicated underpinning of algorithms and analytical techniques, the average enterprise expects (and should look

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Beyond the hype: Do you really need an LLM for your data?

CIO Business Intelligence

As someone deeply involved in shaping data strategy, governance and analytics for organizations, Im constantly working on everything from defining data vision to building high-performing data teams. My work centers around enabling businesses to leverage data for better decision-making and driving impactful change. Recently, my involvement with IASA and SustainableIT.org has given me a new lens through which to view these projects: sustainability.

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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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Practical Techniques for Identifying Business Opportunities

BA Learnings

The ability to identify business opportunities is a cornerstone of success in todays fast-paced market. As industries evolve and consumer demands shift, businesses must remain agile and forward-thinking to stay relevant. Identifying business opportunities fosters growth and unlocks innovation, allowing corporations to adapt to emerging trends and outpace competitors.

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Migrate from Standard brokers to Express brokers in Amazon MSK using Amazon MSK Replicator

AWS Big Data

Amazon Managed Streaming for Apache Kafka (Amazon MSK) now offers a new broker type called Express brokers. Its designed to deliver up to 3 times more throughput per broker, scale up to 20 times faster, and reduce recovery time by 90% compared to Standard brokers running Apache Kafka. Express brokers come preconfigured with Kafka best practices by default, support Kafka APIs, and provide the same low latency performance that Amazon MSK customers expect, so you can continue using existing client

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AI Essentials for Tech Executives

O'Reilly on Data

On April 24, OReilly Media will be hosting Coding with AI: The End of Software Development as We Know It a live virtual tech conference spotlighting how AI is already supercharging developers, boosting productivity, and providing real value to their organizations. If youre in the trenches building tomorrows development practices today and interested in speaking at the event, wed love to hear from you by March 5.

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8 Future Predictions from Jensen Huang that Sound Like Sci-Fi

Analytics Vidhya

Every time I surf the internet, I come across a new mind-blowing advancement in AI. The times were living in feels straight out of a sci-fi movie! So, whats on the table today? Well, in a recent interview, NVIDIA CEO Jensen Huang shared his bold vision for the future of computing, robotics, and AI. His […] The post 8 Future Predictions from Jensen Huang that Sound Like Sci-Fi 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.

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11 Python Libraries Every AI Engineer Should Know

KDnuggets

Looking to build your AI engineer toolkit in 2025? Here are Python libraries and frameworks you cant miss!

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Better student housing with a unified data platform

CIO Business Intelligence

At the end of 2023, Chicago-based Article Student Living was acquired by a global real estate investment company, which allowed the business to expand, and enabled it to make key investments in the high-demand student housing market. But because Article was growing so quickly, managing one of the largest student housing portfolios in the US, it needed to be more intentional about operational efficiency.

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Managing The Risks Of Transporting Hazardous Liquids In 2025

BA Learnings

Transporting hazardous liquids is a critical operation across industries like chemicals, mining, and agriculture. With growing demand and increasing emphasis on sustainability, businesses are facing heightened challenges and responsibilities in 2025. According to Deloitte Insights , the chemical industry experienced moderate growth in 2024 and is expected to continue recovering in 2025, driven by rising demand, cost-reduction efforts, and investments in decarbonisation and innovation.

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