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.

IT 355
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DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?

Analytics Vidhya

The DeepSeek R1 has arrived, and it’s not just another AI modelit’s a significant leap in AI capabilities, trained upon the previously released DeepSeek-V3-Base variant. With the full-fledged release of DeepSeek R1, it now stands on par with OpenAI o1 in both performance and flexibility. What makes it even more compelling is its open weight […] The post DeepSeek R1 vs OpenAI o1: Which One is Faster, Cheaper and Smarter?

Analytics 367
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9 IT resolutions for 2025

CIO Business Intelligence

CIOs are an ambitious lot. Not the type to be satisfied with the status quo, they have set big goals for themselves in the upcoming year, according to countless surveys of IT execs. They want to expand their use of artificial intelligence, deliver more value from those AI investments, further boost employee productivity, drive more efficiencies, improve resiliency, expand their transformation efforts, and more.

IT 140
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External Data Supports More Accurate Planning

David Menninger's Analyst Perspectives

I recently completed the latest edition of our Business Planning Buyers Guide, which reviews and assesses the offerings of 14 providers of this software. One of the points that I look at is whether and to what extent the software provider offers out-of-the-box external data useful for forecasting, planning, analysis and evaluation. What I discovered is that the availability of this type of vital information is exceedingly slim.

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Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

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10 GitHub Repositories to Master Math

KDnuggets

Learn math through roadmaps, courses, tutorials, Python frameworks for solving equations, guides, exercises, textbooks, and more.

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Build a high-performance quant research platform with Apache Iceberg

AWS Big Data

In our previous post Backtesting index rebalancing arbitrage with Amazon EMR and Apache Iceberg , we showed how to use Apache Iceberg in the context of strategy backtesting. In this post, we focus on data management implementation options such as accessing data directly in Amazon Simple Storage Service (Amazon S3), using popular data formats like Parquet, or using open table formats like Iceberg.

More Trending

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Mastering Multi-Cloud with Cloudera: Strategic Data & AI Deployments Across Clouds

Cloudera

In todays dynamic digital landscape, multi-cloud strategies have become vital for organizations aiming to leverage the best of both cloud and on-premises environments. As enterprises navigate complex data-driven transformations, hybrid and multi-cloud models offer unmatched flexibility and resilience. Heres a deep dive into why and how enterprises master multi-cloud deployments to enhance their data and AI initiatives.

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Delivering Enterprise and Self-service Power BI with Microsoft Fabric

Paul Turley

The term "architecture" is more commonly used in the realm of data engineering and data warehouse project work, but the concept applies to BI and analytic reporting projects of all sizes. Like the architecture of a building, a complete Business Intelligence architecture contains the foundation and structure of your solution. Using the building analogy, a data platform can take on many forms, like a single-story cottage, a sprawling university campus or a towering skyscraper.

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Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding

Analytics Vidhya

In the era of AI, chatbots have revolutionized how we interact with technology. Perhaps one of the most impactful uses is in the healthcare industry. Chatbots are able to deliver fast, accurate information, and help individuals more effectively manage their health. In this article, we’ll learn how to develop a medical chatbot using Gemini 2.0, […] The post Building a Medical Chatbot with Gemini 2.0, Flask and Vector Embedding appeared first on Analytics Vidhya.

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ML and AI Model Explainability and Interpretability

Analytics Vidhya

In this article, we dive into the concepts of machine learning and artificial intelligence model explainability and interpretability. We explore why understanding how models make predictions is crucial, especially as these technologies are used in critical fields like healthcare, finance, and legal systems. Through tools like LIME and SHAP, we demonstrate how to gain insights […] The post ML and AI Model Explainability and Interpretability appeared first on Analytics Vidhya.

Modeling 271
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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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What is Beam Search in NLP Decoding?

Analytics Vidhya

Beam search is a powerful decoding algorithm extensively used in natural language processing (NLP) and machine learning. It is especially important in sequence generation tasks such as text generation, machine translation, and summarization. Beam search balances between exploring the search space efficiently and generating high-quality output. In this blog, we will dive deep into the […] The post What is Beam Search in NLP Decoding?

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30 Must-Try Computer Vision Projects for 2025

Analytics Vidhya

Computer vision, a dynamic field blending artificial intelligence and image processing, is reshaping industries like healthcare, automotive, and entertainment. With advancements such as OpenAIs GPT-4 Vision and Metas Segment Anything Model (SAM), computer vision has become more accessible and powerful than ever. By 2025, the global computer vision market is projected to surpass $41 billion, fueled by innovations in […] The post 30 Must-Try Computer Vision Projects for 2025 appeared first o

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7 Agentic RAG System Architectures to Build AI Agents

Analytics Vidhya

For me, 2024 has been a year when I was not just using LLMs for content generation but also understanding their internal working. In this quest to learn about LLMs, RAG and more, I discovered the potential of AI Agentsautonomous systems capable of executing tasks and making decisions with minimal human intervention. Going back to […] The post 7 Agentic RAG System Architectures to Build AI Agents appeared first on Analytics Vidhya.

Analytics 374
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AI Agents Applications: What they can and cannot do for a Business?

Analytics Vidhya

AI agents are changing how businesses operate, offering unprecedented opportunities for efficiency, scalability, and innovation. Major AI business organisations like Meta, Google, etc are rapidly implementing these AI agents into their workflows, while emerging players like CrewAI and LangChain are spearheading the agentic AI movement to create robust autonomous systems.

Analytics 235
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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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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.

Modeling 261
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Exploring AI Agents in Customer Experience with Navin Dhananjaya

Analytics Vidhya

In this Leading with Data, we explore the transformative journey of Navin Dhananjaya, Chief Solutions Officer at Merkle, as he shares key milestones, practical applications of generative AI, and future possibilities for AI agents. Discover how AI is reshaping customer experiences and the data science landscape. You can listen to this episode of Leading with […] The post Exploring AI Agents in Customer Experience with Navin Dhananjaya appeared first on Analytics Vidhya.

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How Does Search-o1 Improve Logical Flow in AI Reasoning?

Analytics Vidhya

With every leap in AI, were stepping into a future where the capabilities of machines surpass what anyone could have imagined just a few years ago. Large Reasoning Models (like, OpenAI-o1 ) are sophisticated systems designed to tackle complex problems by breaking them into smaller, more manageable steps. These models dont just solve problems; they […] The post How Does Search-o1 Improve Logical Flow in AI Reasoning?

Modeling 279
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Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio

Analytics Vidhya

Fine-tuning large language models (LLMs) is an essential technique for customizing LLMs for specific needs, such as adopting a particular writing style or focusing on a specific domain. OpenAI and Google AI Studio are two major platforms offering tools for this purpose, each with distinct features and workflows. In this article, we will examine how […] The post Fine-tuning an LLM to Write Like You on OpenAI Platform vs Google AI Studio appeared first on Analytics Vidhya.

Modeling 208
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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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Beyond “Prompt and Pray”

O'Reilly on Data

TL;DR: Enterprise AI teams are discovering that purely agentic approaches (dynamically chaining LLM calls) dont deliver the reliability needed for production systems. The prompt-and-pray modelwhere business logic lives entirely in promptscreates systems that are unreliable, inefficient, and impossible to maintain at scale. A shift toward structured automation, which separates conversational ability from business logic execution, is needed for enterprise-grade reliability.

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Multimodal Financial Report Generation (from a Slide Deck) using Llamaindex

Analytics Vidhya

In many real-world applications, data is not purely textualit may include images, tables, and charts that help reinforce the narrative. A multimodal report generator allows you to incorporate both text and images into a final output, making your reports more dynamic and visually rich. This article outlines how to build such a pipeline using: The […] The post Multimodal Financial Report Generation (from a Slide Deck) using Llamaindex appeared first on Analytics Vidhya.

Reporting 223
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Understanding MLOps with an End-To-End ZenML Project

Analytics Vidhya

The AI revolution is upon us, but in between this chaos a very critical question gets overlooked by most of us – How do we maintain these sophisticated AI systems? That’s where Machine Learning Operations (MLOps) comes into play. In this blog we will understand the importance of MLOps with ZenML, an open-source MLOps framework, […] The post Understanding MLOps with an End-To-End ZenML Project appeared first on Analytics Vidhya.

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Empowering AI with Senses: A Journey into Multimodal LLMs Part 1

Analytics Vidhya

The human mind naturally perceives language, vision, smell, and touch, enabling us to understand our surroundings. We are particularly inclined toward linguistic thought and visual memory. As GenAI models continue to grow, researchers are now working on extending their capabilities by incorporating multimodality. Large Language models (LLMs) only accept text as input and produce text […] The post Empowering AI with Senses: A Journey into Multimodal LLMs Part 1 appeared first on Analytics V

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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Tools and Frameworks for Deep Learning GPU Benchmarks

Analytics Vidhya

Deep learning GPU benchmarks has revolutionized the way we solve complex problems, from image recognition to natural language processing. However, while training these models often relies on high-performance GPUs, deploying them effectively in resource-constrained environments such as edge devices or systems with limited hardware presents unique challenges.

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How to Access Phi-4 Using Hugging Face?

Analytics Vidhya

Microsoft’s Phi-4 model is available on Hugging Face, offering developers a powerful tool for advanced text generation and reasoning tasks. In this article, well walk you through the steps to access and use Phi-4, from creating a Hugging Face account to generating outputs with the model. Well also explore key features, including its optimized performance […] The post How to Access Phi-4 Using Hugging Face?

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DeepSeek R1 vs OpenAI o1 vs Sonnet 3.5: Battle of the Best LLMs

Analytics Vidhya

The day OpenAI released the o1 model, there was chatter everywhere that we are now closer to AGI than ever. While AGI (Artificial General Intelligence) still looms somewhere in the future, we do have the o1 model. However, it isnt really accessible to many, thanks to its whopping ticket price of $200 per month. Now […] The post DeepSeek R1 vs OpenAI o1 vs Sonnet 3.5: Battle of the Best LLMs appeared first on Analytics Vidhya.

Modeling 236
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How to Build Agentic RAG with SmolAgents?

Analytics Vidhya

Building an Agentic Retrieval-Augmented Generation (RAG) system with SmolAgents enables the development of AI agents capable of autonomous decision-making and task execution. SmolAgents, a minimalist library by Hugging Face, facilitates the creation of such agents in a concise and efficient manner. In this article, we will go step by step to build the Agentic RAG […] The post How to Build Agentic RAG with SmolAgents?

Analytics 208
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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Elon Musk’s Grok 3: 10X Power, But Can it Beat ChatGPT?

Analytics Vidhya

Elon Musks xAI has just completed the pretraining of Grok 3, a massive upgrade over its predecessor, Grok 2, with 10 times more computational power. But is this enough to outpace rivals like OpenAI and Google DeepMind? Lets break it down. Grok 3: 10X More Compute Power Than Grok 2 Grok 3 was trained on […] The post Elon Musks Grok 3: 10X Power, But Can it Beat ChatGPT?

IT 203
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Gudie on Prompting with DSPy

Analytics Vidhya

DSPy, or Declarative Self-improving Language Programs, revolutionizes how developers interact with Large Language Models (LLMs). By abstracting the intricacies of prompt engineering, it enables users to develop, test, and improve their apps more effectively and dependably. This comprehensive tutorial delves deeply into DSPy, offering thorough insights to assist you in getting started and creating potent […] The post Gudie on Prompting with DSPy appeared first on Analytics Vidhya.

Testing 222
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Phi-4 Available on HuggingFace: A Big Thanks to Clem Delangue!

Analytics Vidhya

Just eight days into 2025, and the AI community is buzzing with incredible launches. The latest to make waves? Microsofts Phi-4, now available on HuggingFace with an MIT license! AI developers have been eagerly awaiting this release, and its finally here. What is Phi-4? Phi-4 is Microsofts latest small language model, introduced in December 2024. […] The post Phi-4 Available on HuggingFace: A Big Thanks to Clem Delangue!

Modeling 217
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DeepSeek-V3 vs GPT-4o vs Llama 3.3 70B – Let the Best AI Model Win

Analytics Vidhya

The evolution of AI language models has set new standards, especially in the coding and programming landscape. Leading the charge are DeepSeek-V3, GPT-4o, and Llama 3.3 70B, each offering unique advantages. In this blog, we will do an AI language model comparison, focusing on the architectures, parameters, coding capabilities, and practical use cases of GPT-4o […] The post DeepSeek-V3 vs GPT-4o vs Llama 3.3 70B – Let the Best AI Model Win appeared first on Analytics Vidhya.

Modeling 224
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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.