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50+ Must-Know Machine Learning Terms You (Probably) Haven’t Heard Of

Analytics Vidhya

One of the fastest-growing areas of technology is machine learning, but even seasoned professionals occasionally stumble over new terms and jargon. It is simple to get overwhelmed by the plethora of technical terms as research speeds up and new architectures, loss functions, and optimisation techniques appear. This blog article is your carefully chosen reference to […] The post 50+ Must-Know Machine Learning Terms You (Probably) Haven’t Heard Of appeared first on Analytics Vidhya.

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5 Routine Tasks That ChatGPT Can Handle for Data Scientists

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 5 Routine Tasks That ChatGPT Can Handle for Data Scientists A practical walkthrough of how ChatGPT handles cleaning, exploration, visualization, modeling and more.

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Data Fluency vs. Data Literacy: The Key to AI-Driven Business Success

Jen Stirrup

The Critical Distinction Your Organization Can't Afford to Miss As an independent AI and Business Intelligence consultant who has worked with organizations across healthcare, hospitality, agriculture, and marketing, I've observed a clear pattern. Companies that focus on developing data fluency achieve significantly better results with analytics, digital transformation, and AI adoption.

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Snowflake and Databricks vie for the heart of enterprise AI

CIO Business Intelligence

Two vendor names keep popping up when CIOs describe how they launched successful AI projects. The two companies, Databricks and Snowflake, started from different market positions and technical perspectives, with Databricks focused more on unstructured data processing and real-time analytics, while Snowflake has concentrated on abstracting and simplifying data warehousing in the cloud.

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How to Streamline Payment Applications & Lien Waivers Through Innovative Construction Technology

Speaker: Dylan Secrest, Founder of Alamo Innovation and Construction Digital Transformation Consultant

Construction payment workflows are notoriously complex when you consider juggling multiple stakeholders, compliance requirements, and evolving project scopes. Delays in approvals or misaligned data between budgets, lien waivers, and pay applications can grind progress to a halt. The good news? It doesn't have to be this way! Join expert Dylan Secrest to discover how leading contractors are turning payment chaos into clarity using digital workflows, integrated systems, and automation strategies.

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Deploying LLMs in Compliance: AI Orchestration and Explainability

DataFloq

Enterprise teams have moved past the hype of large language models. The focus now is execution. How to apply these tools in complex environments like compliance, finance, and risk without creating new vulnerabilities. In these areas, accuracy and accountability aren’t nice-to-haves; they’re essential. Policymakers and researchers are already laying the groundwork.

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Critical Data Elements: Your Shortcut to Data Governance That Actually Works

DataKitchen

The Harsh Reality of Data Governance 💥 80% of data governance initiatives fail. Not because of tools. Not because of frameworks. But because the business isn’t involved, and no one agrees on what data truly matters. That’s where Critical Data Elements (CDEs) change everything. They force a conversation between IT and business about what matters.

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10 Python Libraries Every MLOps Engineer Should Know

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter 10 Python Libraries Every MLOps Engineer Should Know Learn about 10 essential Python libraries that support core MLOps tasks like versioning, deployment, and monitoring.

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5 IT roadmap gotchas in a disruptive era

CIO Business Intelligence

CIOs for the most part have had to ditch multiyear roadmaps, knowing that the rapid pace of change makes it near impossible to plan just three years out — let alone five years in the future, as once was the standard. Even with many CIOs now going with 18- or 24-month roadmaps, a lot of unknowns remain. “Roadmaps are just a plan, where we’re taking an educated guess of what the future might bring.

IT
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The AI-Driven Enterprise: Aligning Data Strategy with Business Goals

DataFloq

Enterprises today are in dire need of AI adoption and data management, thanks to increased competitiveness and unprecedented demand for automation. As companies prepare to meet this demand with a structured approach towards data modernization , their success relies on a foundational alignment between data strategies, AI adoption initiatives, and the overarching goals and objectives of the business.

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Airflow Best Practices for ETL/ELT Pipelines

Speaker: Kenten Danas, Senior Manager, Developer Relations

ETL and ELT are some of the most common data engineering use cases, but can come with challenges like scaling, connectivity to other systems, and dynamically adapting to changing data sources. Airflow is specifically designed for moving and transforming data in ETL/ELT pipelines, and new features in Airflow 3.0 like assets, backfills, and event-driven scheduling make orchestrating ETL/ELT pipelines easier than ever!

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Integrate scientific data management and analytics with the next generation of Amazon SageMaker, Part 1

AWS Big Data

Our customers tell us that scientists are increasingly spending more time managing data-related challenges than focusing on science. The primary reason for this challenge is that scientific data comes in many types and is siloed across systems, groups, and stages, and scientists struggle to efficiently discover, access, share, and analyze datasets across silos.

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Data: The Hidden Foundation Behind Every AI Success Story

Anmut

Data's at the heart of every AI achievement I was recently browsing through some fascinating AI statistics on Exploding Topics , and one pattern became crystal clear: every impressive AI achievement traces back to one critical ingredient—data. Let me walk you through the numbers that illustrate this fundamental truth. Take Netflix’s stunning $1 billion in annual revenue from automated recommendations.

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Top 10 Collections of Cheat Sheets on GitHub

KDnuggets

Discover a comprehensive collection of cheat sheets covering Docker commands, mathematics, Python, machine learning, data science, data visualization, CLI commands, and more.

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Can You Trust Your LLM? How Guardrails Make AI Safer

Analytics Vidhya

Have you ever considered building tools powered by LLMs? These powerful predictive models can generate emails, write code, and answer complex questions, but they also come with risks. Without safeguards, LLMs can produce incorrect, biased, or even harmful outputs. That’s where guardrails come in. Guardrails ensure LLM security and responsible AI deployment by controlling outputs […] The post Can You Trust Your LLM?

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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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Six Essential Inquiries Every Board Should Ask Before Approving That Next AI Project

Jen Stirrup

The Governance Imperative: Beyond Simple Project Approval In today's rapidly evolving business landscape, boards face unprecedented pressure to make informed decisions about technology investments—particularly AI initiatives. These decisions carry far-reaching implications for organizational risk, competitive advantage, and stakeholder trust. According to a recent PwC survey , only about half of board directors feel they receive adequate information about AI-related risks, with directors not

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Develop and deploy a generative AI application using Amazon SageMaker Unified Studio

AWS Big Data

Picture this: You’re a financial analyst starting your Monday morning with a steaming cup of coffee, ready to review your investment portfolio. But instead of manually scouring dozens of news websites, financial reports, and industry analyses, you simply ask your AI assistant: “What global events happened over the weekend that might impact my technology stock holdings?

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How Data Valuation Turns Transformation into a Team Sport

Anmut

If data is so important, why is it treated as an afterthought? Have you noticed how data is always deemed “critical,” yet we’re not always so sure who is accountable for it? You invest in platforms, hire data scientists, implement new controls, yet areas of your organisation continue to view data as an afterthought. If data is indeed the company’s crown jewel, why do many business leaders find it difficult to secure cross-functional buy-in—or even basic engagement—when it matters most?

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Debugging and Tracing LLMs Like a Pro

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Debugging and Tracing LLMs Like a Pro Debugging LLMs is important because their workflows are complex and involve multiple parts like chains, prompts, APIs, tools, retrievers, and more.

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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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Your Vogue New Subsidiary: A Data Company

BI-Survey

Editor’s Note: This article was originally authored by our colleague and BARC Fellow, Douglas Laney, and was first published on Forbes.com. We are republishing it with full permission, as we believe its insights are highly relevant to the topics we cover and valuable for our community. The independent “Data Company” or “DataCo” is a separate corporate entity whose sole objective is to manage and extract greater value from its parent company’s data.

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How agentic AI supercharges efficiency and innovation across 4 key industries

CIO Business Intelligence

A transformative agentic AI approach can be applied across various sectors, each with domain-specific opportunities. Below, we focus on four key industries — banking, insurance, healthcare and retail — highlighting how agentic AI solutions drive innovation and efficiency in each. These use cases illustrate the tangible benefits of the framework in action.

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Adopt Real-Time Data Software to Operate at the Speed of Business

David Menninger's Analyst Perspectives

ISG Software Research recently published the 2025 Buyers Guide for Real-Time Data , providing an assessment of 43 software providers offering products used by analytics and data professionals to facilitate the use of real-time data. The Real-Time Data Buyers Guide research includes five reports which are focused on overall Real-Time Data, Application Integration, Messaging and Event Processing, Streaming Data and Streaming Analytics.

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Codex CLI vs Gemini CLI vs Claude Code

Analytics Vidhya

In 2025, several AI coding assistants have been released, which can be accessed directly from the terminal. Codex CLI, Gemini CLI, and Claude Code are some of the popular names that embed large language models into command-line workflows. These programming tools that can generate and fix code via natural language prompts are truly incredible. We […] The post Codex CLI vs Gemini CLI vs Claude Code appeared first on Analytics Vidhya.

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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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Getting The Most From The LangChain Ecosystem

KDnuggets

Blog Top Posts About Topics AI Career Advice Computer Vision Data Engineering Data Science Language Models Machine Learning MLOps NLP Programming Python SQL Datasets Events Resources Cheat Sheets Recommendations Tech Briefs Advertise Join Newsletter Getting The Most From The LangChain Ecosystem Learn how to use the LangChain ecosystem to build, test, deploy, monitor, and visualize complex agentic workflows.

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How AI Helps Businesses Discover Specialized Niches

Smart Data Collective

Cookies help us display personalized product recommendations and ensure you have great shopping experience. Accept X By using this site, you agree to the Privacy Policy and Terms of Use. Accept Analytics Analytics Show More Turning Data Into Decisions: How Analytics Improves Transportation Strategy 3 Min Read How Data Analytics Improves Lead Management and Sales Results 9 Min Read How Data Analytics Reduces Truck Accidents and Speeds Up Claims 7 Min Read Interior Designers Boost Profits with Pre

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Why Data Governance Still Matters in the Age of AI

TDAN

At a recent conference, I witnessed something that’s become far too common in data leadership circles: genuine surprise that chief data officers consistently cite culture — not technology — as their greatest challenge.

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My Take on the 2024 Gartner® Critical Capabilities for Data Integration Tools Report

Data Virtualization

Reading Time: 3 minutes If you’re not familiar with the Gartner Critical Capabilities reports, in my opinion, they provide a rigorous comparison of vendors across a set of (critical) capabilities, and they are meant to be read along with the Gartner® Magic Quadrant™ reports. The post My Take on the 2024 Gartner® Critical Capabilities for Data Integration Tools Report appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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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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OpenAI Returns to Open Source: A Complete Guide to gpt-oss-120b and gpt-oss-20b

Analytics Vidhya

OpenAI has released two open-source language models, gpt-oss-120b and gpt-oss-20b. These are OpenAI’s first openly licensed LLMs since GPT-2. Aiming to create the best state-of-the-art reasoning and tool-use models available. The models were launched to considerable fanfare in the AI community.  By open-sourcing gpt-oss, OpenAI allows people to freely use and adapt within the bounds […] The post OpenAI Returns to Open Source: A Complete Guide to gpt-oss-120b and gpt-oss-20b appeared

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The Importance of Visualization in Data Storytelling

KDnuggets

This article introduces and discusses four key reasons why data visualization is essential in data storytelling: simplifying complex information, discovering hidden patterns, fostering engagement and impact, and supporting informed decisions.

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Reimagining infrastructure for the AI era: A five-year vision

CIO Business Intelligence

The compute paradigm shift is here The infrastructure that powers AI today won’t sustain tomorrow’s demands. CIOs must rethink how to scale smarter—not just bigger—or risk falling behind. Discover how Arm is redefining computing infrastructure for the AI era. As AI continues to reshape industries—from healthcare to financial services to national defense—we’re entering a new compute paradigm, where legacy models no longer scale economically or sustainably.