O'Reilly on Data

FEBRUARY 4, 2025

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.

IT 364

IT Software Technology Interactive 364

Analytics Vidhya

FEBRUARY 21, 2025

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.

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Modeling Analytics IT 277

DataKitchen

FEBRUARY 20, 2025

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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Data Quality Scorecard Testing Dashboards 183

CIO Business Intelligence

FEBRUARY 4, 2025

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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Digital Transformation Sales Optimization Enterprise 144

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.

Analytics

KDnuggets

FEBRUARY 20, 2025

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

Data Processing 127

Data Processing 127

O'Reilly on Data

FEBRUARY 25, 2025

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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Cost-Benefit Data Processing Visualization Testing 217

Analytics Vidhya

FEBRUARY 12, 2025

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.

Modeling 280

Modeling Analytics 280

DataKitchen

FEBRUARY 17, 2025

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.

Data Quality 183

Data Quality Testing Scorecard Data-driven 183

CIO Business Intelligence

FEBRUARY 26, 2025

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

IT 141

IT Enterprise Interactive Data Quality 141

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Testing

Smarten

FEBRUARY 19, 2025

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

Predictive Analytics 62

Predictive Analytics Analytics Predictive Modeling Forecasting 62

AWS Big Data

FEBRUARY 21, 2025

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.

Dashboards 91

Dashboards Modeling Measurement Interactive 91

O'Reilly on Data

FEBRUARY 27, 2025

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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Experimentation Data Processing Software Visualization 258

Analytics Vidhya

FEBRUARY 3, 2025

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.

Modeling 261

Modeling Analytics 261

Speaker: Yohan Lobo and Dennis Street

In the accounting world, staying ahead means embracing the tools that allow you to work smarter, not harder. Outdated processes and disconnected systems can hold your organization back, but the right technologies can help you streamline operations, boost productivity, and improve client delivery. Dive into the strategies and innovations transforming accounting practices.

Technology

KDnuggets

FEBRUARY 3, 2025

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

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CIO Business Intelligence

FEBRUARY 21, 2025

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.

Manufacturing 125

Manufacturing Machine Learning Consulting Modeling 125

Data Virtualization

FEBRUARY 6, 2025

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.

Data Integration 64

Data Integration Management Data Warehouse IT 64

AWS Big Data

FEBRUARY 13, 2025

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.

Data Analytics 72

Data Analytics Analytics Modeling Data-driven 72

Advertiser: ZoomInfo

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.

Sales

O'Reilly on Data

FEBRUARY 13, 2025

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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Testing Experimentation Data Processing Interactive 187

Analytics Vidhya

FEBRUARY 14, 2025

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?

Machine Learning 212

Machine Learning Analytics 212

Smarten

FEBRUARY 26, 2025

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

Analytics 62

Analytics Cost-Benefit Visualization ROI 62

CIO Business Intelligence

FEBRUARY 6, 2025

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.

Unstructured Data 115

Unstructured Data Manufacturing Data Governance Sales 115

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Testing

KDnuggets

FEBRUARY 27, 2025

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

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AWS Big Data

FEBRUARY 13, 2025

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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Metrics Metadata Strategy Management 70

O'Reilly on Data

FEBRUARY 18, 2025

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.

Testing 179

Testing Metrics Modeling Measurement 179

Analytics Vidhya

FEBRUARY 9, 2025

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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Analytics 300

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!

Data-driven