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Summary: Big Data refers to the vast volumes of structured and unstructured data generated at high speed, requiring specialized tools for storage and processing. Data Science, on the other hand, uses scientific methods and algorithms to analyses this data, extract insights, and inform decisions. Together, they power data-driven innovation across industries.
Key Takeaways: Lack of shared data definitions, ownership, and built-in compliance creates risk and inefficiencies across your organization. Business-friendly governance and stewardship frameworks empower teams to trust, manage, and use data with confidence. Start small with clear roles, goals, glossaries, and workflowsand scale toward proactive, automated compliance and increased data visibility.
Author(s): Harshit Kandoi Originally published on Towards AI. Photo by Matt Seymour on Unsplash When my AI chatbot predicted my next question before I even thought? Or just guessing my queries based on my typos? Welcome to the future, where AI models like ChatGPT-4o and Grok 3 can write essays, summarise trending data, and even crack jokes better than my college roommates.
In todays fast-moving machine learning and AI landscape, access to top-tier tools and infrastructure is a game-changer for any data science team. Thats why AI creditsvouchers that grant free or discounted access to cloud services and machine learning platformsare increasingly valuable. At ODSC East 2025 , were proud to partner with leading AI and data companies offering these credits to help data professionals test, build, and scale their work.
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.
It is easy to forget how much our devices do for us until your smart assistant dims the lights, adjusts the thermostat, and reminds you to drink water, all on its own. That seamless experience is not just about convenience, but a glimpse into the growing world of agentic AI. Whether it is a self-driving car navigating rush hour or a warehouse robot dodging obstacles while organizing inventory, agentic AI is quietly revolutionizing how things get done.
You know how, back in the day, we used simple wordcount tricks to represent text? Well, things have come a long way since then. Now, when we talk about the evolution of embeddings, we mean numerical snapshots that capture not just which words appear but what they really mean, how they relate to each other […] The post 14 Powerful Techniques Defining the Evolution of Embedding appeared first on Analytics Vidhya.
You know how, back in the day, we used simple wordcount tricks to represent text? Well, things have come a long way since then. Now, when we talk about the evolution of embeddings, we mean numerical snapshots that capture not just which words appear but what they really mean, how they relate to each other […] The post 14 Powerful Techniques Defining the Evolution of Embedding appeared first on Analytics Vidhya.
In machine learning, few ideas have managed to unify complexity the way the periodic table once did for chemistry. Now, researchers from MIT, Microsoft, and Google are attempting to do just that with I-Con, or Information Contrastive Learning. The idea is deceptively simple: represent most machine learning algorithmsclassification, regression, clustering, and even large language modelsas special cases of one general principle: learning the relationships between data points.
Reston, Va., April 9, 2025 Leidos (NYSE:LDOS), an information technology company for governments, and Moveworks, an agentic artificial intelligence assistant for enterprises, are collaborating with the aim of increasing efficiency of government workers in the U.S., U.K., and Australia. Agentic AI are digital personal assistants that make decisions and automate daily work processes.
Did science fiction just quietly become our everyday tech reality? Because just a few years ago, the idea of machines that think, plan, and act like humans felt like something straight from the pages of Asimov or a scene from Westworld. This used to be futuristic fiction! However, with AI agents , this advanced machine intelligence is slowly turning into a reality.These AI agents use memory, make decisions, switch roles, and even collaborate with other agents to get things done.
Apple researchers are advancing machine learning (ML) and AI through fundamental research that improves the worlds understanding of this technology and helps to redefine what is possible with it. To support the broader research community and help accelerate progress in this field, we share much of our research through publications, open source resources, and engagement at conferences.
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.
Rite Aid data breach investigations rarely make it onto a familys weekend todo list, yet a few minutes of paperwork today could translate into thousands of dollars of compensation tomorrow. A hacker working with the RansomHub gang slipped into the pharmacy chains network on June62024 and walked away with the personal information of 2.2million customers.
CMU researchers are presenting 143 papers at the Thirteenth International Conference on Learning Representations (ICLR 2025), held from April 24 – 28 at the Singapore EXPO. Here is a quick overview of the areas our researchers are working on: And here are our most frequent collaborator institutions: Table of Contents Oral Papers Spotlight Papers Poster Papers Alignment, Fairness, Safety, Privacy, And Societal Considerations Applications to Computer Vision, Audio, Language, And Other Modali
This blog post is co-written with Renuka Kumar and Thomas Matthew from Cisco. Enterprise data by its very nature spans diverse data domains, such as security, finance, product, and HR. Data across these domains is often maintained across disparate data environments (such as Amazon Aurora , Oracle, and Teradata), with each managing hundreds or perhaps thousands of tables to represent and persist business data.
Three years ago, I was part of a team responsible for developing and maintaining Kubernetes clusters for end user customers. A main source for downtime in customer environments occurred when image registries went down. The traditional way to solve this problem is to set up a stateful mirror, however we had to work within customer budget and time constraints which did not allow it.
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
OpenAI Codex CLI is an opensource command-line tool that brings the power of OpenAIs latest reasoning models directly to your terminal. Think of it as a lightweight AI coding assistant that lives in your shell: it can read your code, modify files, and even execute commands in your project environment. This means you can ask […] The post I Tried to Build Image Captioning App With OpenAI Codex CLI appeared first on Analytics Vidhya.
Meta is still grappling with keeping Facebook culturally relevant, an issue the company has been struggling with since at least 2022. Emails shared by the U.S. Federal Trade Commission during Meta’s antitrust trial revealed the company’s internal discussions on the matter. Mark Zuckerberg expressed concerns that Facebook’s cultural relevance was decreasing, despite steady engagement in many places.
Microsoft unveils new AI reasoning agents and Copilot features to transform workplace productivity, with Chief Product Officer Aparna Chennapragada sharing exclusive insights on the company's vision for human-agent collaboration.
Your employer pays you to spend more time with them than you spend with your family and/or loved ones. Your employer is one of the biggest influencers on your mental well-being. Your employer can and will replace you in a heartbeat if absolutely necessary. Let me be explicitly clear, your employer isnt your family and they are not your friend. They pay you to do a job and in return your only responsibility is to do that job well.
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.
Handling documents is no longer just about opening files in your AI projects, its about transforming chaos into clarity. Docs such as PDFs, PowerPoints, and Word flood our workflows in every shape and size. Retrieving structured content from these documents has become a big task today. Markitdown MCP (Markdown Conversion Protocol) from Microsoft simplifies this. […] The post How to Use MarkItDown MCP to Convert the Docs into Markdowns?
A global audit examining the state of data readiness to embrace GenAI value creation finds big companies worldwide are not confident in the quality and usability of their data assets for AI-driven business improvement.
Anthropic's groundbreaking study analyzes 700,000 conversations to reveal how AI assistant Claude expresses 3,307 unique values in real-world interactions, providing new insights into AI alignment and safety.
Play against Allie on lichess ! Introduction In 1948, Alan Turning designed what might be the first chess playing AI , a paper program that Turing himself acted as the computer for. Since then, chess has been a testbed for nearly every generation of AI advancement. After decades of improvement, today’s top chess engines like Stockfish and AlphaZero have far surpassed the capabilities of even the strongest human grandmasters.
Speaker: Chris Townsend, VP of Product Marketing, Wellspring
Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?
Data preprocessing remains crucial for machine learning success, yet real-world datasets often contain errors. Data preprocessing using Cleanlab provides an efficient solution, leveraging its Python package to implement confident learning algorithms. By automating the detection and correction of label errors, Cleanlab simplifies the process of data preprocessing in machine learning.
Customers today expect to find products quickly and efficiently through intuitive search functionality. A seamless search journey not only enhances the overall user experience, but also directly impacts key business metrics such as conversion rates, average order value, and customer loyalty. According to a McKinsey study , 78% of consumers are more likely to make repeat purchases from companies that provide personalized experiences.
Introduction Since our last roundup in February, Databricks AI/BI Dashboards and Genie have received even more exciting enhancements, making our native analytical offering more intuitive,
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
Since the rise of AI chatbots, Googles Gemini has emerged as one of the most powerful players driving the evolution of intelligent systems. Beyond its conversational strength, Gemini also unlocks practical possibilities in computer vision, enabling machines to see, interpret, and describe the world around them. This guide walks you through the steps to leverage […] The post How to Use Google Gemini Models for Computer Vision Tasks?
Quantizing large language models has become a standard way to reduce their memory and computational costs. Typically, existing methods focus on breaking down the problem into individual layer-wise sub-problems, and minimizing per-layer error, measured via various metrics. Yet, this approach currently lacks theoretical justification and the metrics employed may be sub-optimal.
When David Mesfin was producing his documentary on Black surfing culture, Wade in the Water , back in 2023, he had a problem. Like millions of other people since ChatGPT and other GenAI tools emerged in late 2022, Mesfin was experimenting and using these tools to generate imagery for the film. But the results were always the same: white surfers with darkened skin, says Mesfin, a creative director at ad agency Innocean.
Ratings and reviews are an invaluable resource for users exploring an app on the App Store, providing insights into how others have experienced the app. With review summaries now available in iOS 18.4, users can quickly get a high-level overview of what other users think about an app, while still having the option to dive into individual reviews for more detail.
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!
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