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Data has become a driving force behind change and innovation in 2025, fundamentally altering how businesses operate. Across sectors, organizations are using advancements in artificial intelligence (AI), machine learning (ML), and data-sharing technologies to improve decision-making, foster collaboration, and uncover new opportunities. In the upcoming year, the focus is on making data more accessible, protecting […] The post How Data Will Reshape Industries in 2025 appeared first on DATAVER
Are you struggling to make your remote data team feel like a team? The term remote literally means distant or situated far from the populationhardly the type of environment where one could envision teamwork thriving. But with remote work not going anywhere anytime soon, its up to management to find ways to encourage remote data teams to work closely together.
Want to know more about the revolution in stock market forecasting by Artificial Intelligence (AI)? Pattern recognition for stock price is one area in which AI excels. As an investor, if you know a chart patterns “head and shoulders” or “cup and handle”, then you have an edge. These are trend lines that tell you how a stock is going to act in the future.
Rust is a systems programming language that offers high performance and safety. Python programmers will find Rust's syntax familiar but with more control over memory and performance.
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.
Summary: The article explores the differences between data driven and AI driven practices. The right approach is necessary to improve decisions and ensure your business remains competitive. Data-driven and AI-driven approaches have become key in how businesses address challenges, seize opportunities, and shape their strategic directions. Introduction Are you struggling to decide between data-driven practices and AI-driven strategies for your business?
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.
Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we investigate the capabilities of Large Language Models (LLMs) for reinforcement learning (RL) across a diversity of interactive domains.
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Large pretrained models are showing increasingly better performance in reasoning and planning tasks across different modalities, opening the possibility to leverage them for complex sequential decision making problems. In this paper, we investigate the capabilities of Large Language Models (LLMs) for reinforcement learning (RL) across a diversity of interactive domains.
The proliferation of artificial intelligence (AI) tools has transformed numerous aspects of daily life, yet its impact on critical thinking remains underexplored. This study investigates the relationship between AI tool usage and critical thinking skills, focusing on cognitive offloading as a mediating factor. Utilising a mixed-method approach, we conducted surveys and in-depth interviews with 666 participants across diverse age groups and educational backgrounds.
According to a recent The Guardian article, Meta is deleting Facebook and Instagram profiles of AI characters, after user interaction led to viral screenshots and conversations. The AI profiles were initially introduced in September 2023 and mostly removed by summer 2024. [link] Meta deletes AI profiles on Facebook and Instagram Despite the shutdown of most profiles, some characters continued to engage users until recent announcements by Meta executive Connor Hayes sparked renewed interest.
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.
Multilingual knowledge graphs (KGs) provide high-quality relational and textual information for various NLP applications, but they are often incomplete, especially in non-English languages. Previous research has shown that combining information from KGs in different languages aids either Knowledge Graph Completion (KGC), the task of predicting missing relations between entities, or Knowledge Graph Enhancement (KGE), the task of predicting missing textual information for entities.
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.
Large language model (LLM) based AI agents that have been specialized for specific tasks have demonstrated great problem-solving capabilities. By combining the reasoning power of multiple intelligent specialized agents, multi-agent collaboration has emerged as a powerful approach to tackle more intricate, multistep workflows. The concept of multi-agent systems isnt entirely newit has its roots in distributed artificial intelligence research dating back to the 1980s.
Alonside data management frameworks, a holistic approach to data engineering for AI is needed along with data provenance controls and data preparation tools.
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?
This paper presents an efficient decoding approach for end-to-end automatic speech recognition (E2E-ASR) with large language models (LLMs). Although shallow fusion is the most common approach to incorporate language models into E2E-ASR decoding, we face two practical problems with LLMs. (1) LLM inference is computationally costly. (2) There may be a vocabulary mismatch between the ASR model and the LLM.
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.
With the general availability of Amazon Bedrock Agents , you can rapidly develop generative AI applications to run multi-step tasks across a myriad of enterprise systems and data sources. However, some geographies and regulated industries bound by data protection and privacy regulations have sought to combine generative AI services in the cloud with regulated data on premises.
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?
Apple users face new security challenges after security researcher Thomas Roth successfully hacked the ACE3 USB-C controller in the iPhone 15 series, as disclosed at the 38th Chaos Communication Congress in December 2024. The hack highlights vulnerabilities in Apple’s USB-C implementation. Apple users face security risks after ACE3 hack discovery The ACE3 custom USB-C controller is responsible for managing USB power delivery and data transfer in Apple devices.
Speaker: Andrew Skoog, Founder of MachinistX & President of Hexis Representatives
Manufacturing is evolving, and the right technology can empower—not replace—your workforce. Smart automation and AI-driven software are revolutionizing decision-making, optimizing processes, and improving efficiency. But how do you implement these tools with confidence and ensure they complement human expertise rather than override it? Join industry expert Andrew Skoog as he explores how manufacturers can leverage automation to enhance operations, streamline workflows, and make smarter, data-dri
Given the value of data today, organizations across various industries are working with vast amounts of data across multiple formats. Manually reviewing and processing this information can be a challenging and time-consuming task, with a margin for potential errors. This is where intelligent document processing (IDP), coupled with the power of generative AI , emerges as a game-changing solution.
The battle against global warming has taken a significant step forward with the launch of aninnovative AI Climate Simulator, developed by Andrew Ngand a team of experts. This tool allows users to explore how geoengineering techniques, such asStratospheric Aerosol Injection (SAI), could help address the growing climate crisis. The urgency is clear:global warming is accelerating […] The post 1% Sunlight, 100% Impact: Andrew Ngs AI Climate Simulator appeared first on Analytics Vidhya.
New research highlights a vulnerability in Google’s “Sign in with Google” authentication method that allows unauthorized access to sensitive data by exploiting abandoned startup domains, posing a potential risk to millions of American users. New research uncovers vulnerability in Google authentication method Dylan Ayrey, co-founder and CEO of Truffle Security, revealed that Google’s OAuth login fails to protect against someone purchasing a failed startup’s domain an
In Airflow, DAGs (your data pipelines) support nearly every use case. As these workflows grow in complexity and scale, efficiently identifying and resolving issues becomes a critical skill for every data engineer. This is a comprehensive guide with best practices and examples to debugging Airflow DAGs. You’ll learn how to: Create a standardized process for debugging to quickly diagnose errors in your DAGs Identify common issues with DAGs, tasks, and connections Distinguish between Airflow-relate
Home Table of Contents Getting Started with YOLO11 What Is YOLO11? Key Features of YOLO11 Supported Tasks Supported Modes Available Checkpoints Configuring Your Development Environment Setup and Imports How to Run Inference with YOLO11 Object Detection Instance Segmentation Image Classification Pose Estimation Oriented Object Detection Multi-Object Tracking How to Train with YOLO11 How to Validate with YOLO11 How to Export with YOLO11 Summary Key Highlights Citation Information Getting Started w
OpenAI has announced the release of its brand-new Function Calling Guide, designed to help developers extend the capabilities of OpenAI models by integrating custom tools and functions. Based on extensive user feedback, the guide has been revamped to be 50% shorter and clearer, featuring new best practices, in-doc function generation, and a fully functional example […] The post OpenAI’s New Function Calling Guide appeared first on Analytics Vidhya.
As the next major wave of artificial intelligence (AI) emerges, companies specializing in agentic AI are gaining attention. Agentic AI refers to automated AI agents that can complete assigned tasks without constant human supervision. Several stocks poised to benefit from this development include UiPath, Salesforce, Nvidia, Amazon, and SoundHound AI.
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.
The drive to encourage students (and anyone keen to learn) throughout the computer science industry is dominated by messaging designed to encourage people to gain cert.
This post introduces HCLTechs AutoWise Companion, a transformative generative AI solution designed to enhance customers vehicle purchasing journey. By tailoring recommendations based on individuals preferences, the solution guides customers toward the best vehicle model for them. Simultaneously, it empowers vehicle manufacturers (original equipment manufacturers (OEMs)) by using real customer feedback to drive strategic decisions, boosting sales and company profits.
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?
AMD’s delay in unveiling its RDNA 4 GPUs is a tactical move, aimed at assessing NVIDIA’s strategy with the RTX 50 series before making its own announcement. While AMD did not fully showcase RDNA 4 during its CES keynote, it released slides detailing the Radeon RX 9070 XT and RX 9070, claiming this was to give the RX 9070 series a standalone showcase.
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
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