Sat.Jun 14, 2025 - Fri.Jun 20, 2025

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Data Lakehouses Enable Data as a Product

David Menninger's Analyst Perspectives

I have previously described how data as a product was initially closely aligned with data mesh , a cultural and organizational approach to distributed data processing. As a result of data mesh’s association with distributed data, many assumed that the concept was diametrically opposed to the data lake, which offered a platform for combining large volumes of data from multiple data sources.

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When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares

DataKitchen

When Timing Goes Wrong: How Latency Issues Cascade Into Data Quality Nightmares As data engineers, we’ve all been there. A dashboard shows anomalous metrics, a machine learning model starts producing bizarre predictions, or stakeholders complain about inconsistent reports. We dive deep into data validation, check our transformations, and examine our schemas, only to discover the real culprit was something far more subtle: timing.

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Top 5 Frameworks for Distributed Machine Learning

KDnuggets

Use these frameworks to optimize memory and compute resources, scale your machine learning workflow, speed up your processes, and reduce the overall cost.

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RocksDB 101: Optimizing stateful streaming in Apache Spark with Amazon EMR and AWS Glue

AWS Big Data

Real-time streaming data processing is a strategic imperative that directly impacts business competitiveness. Organizations face mounting pressure to process massive data streams instantaneously—from detecting fraudulent transactions and delivering personalized customer experiences to optimizing complex supply chains and responding to market dynamics milliseconds ahead of competitors.

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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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Thinking Machines At Work: How Generative AI Models Are Redefining Business Intelligence

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 Improving LinkedIn Ad Strategies with Data Analytics 9 Min Read Data Helps Speech-Language Pathologists Deliver Better Results 6 Min Read How Data-Driven Insights Are Addressing Gaps in Patient Communication and Equity 8 Min Read Data Analytics Is Revolutionizing Medical Cred

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Webinar: A Guide to the Six Types of Data Quality Dashboards

DataKitchen

In this exciting webinar , Christopher Bergh discussed various types of data quality dashboards, emphasizing that effective dashboards make data health visible and drive targeted improvements by relying on concrete, actionable tests. He highlighted the importance of selecting dashboard types based on the data landscape and stakeholder needs, advocating for an iterative approach and showcasing their open-source software.

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Reduce time to access your transactional data for analytical processing using the power of Amazon SageMaker Lakehouse and zero-ETL

AWS Big Data

As the lines between analytics and AI continue to blur, organizations find themselves dealing with converging workloads and data needs. Historical analytics data is now being used to train machine learning models and power generative AI applications. This shift requires shorter time to value and tighter collaboration among data analysts, data scientists, machine learning (ML) engineers, and application developers.

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SAP, IBM slammed for role in Quebec auto insurance board ERP overhaul fiasco

CIO Business Intelligence

Investigations into a controversial Canadian ERP implementation involving SAP SE and LGS, an IBM subsidiary, took a bizarre turn Wednesday when the Quebec anti-corruption squad conducted raids at the headquarters of the organization which commissioned the system overhaul. According to a report from the Canadian Broadcasting Corporation (CBC), the raid at the head office of Société de l’assurance automobile du Québec (SAAQ), the provincial auto insurance board, was in relation to the rollout in 2

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The Data Quality Revolution Starts with You

DataKitchen

The Data Quality Revolution Starts with One Person (Yes, That’s You!) Picture this: You’re sitting in yet another meeting where someone asks, “Can we trust this data?” and the room falls silent. Sound familiar? If you’re nodding along, congratulations—you’ve just identified yourself as the perfect candidate to become your organization’s data quality champion.

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Polars for Pandas Users: A Blazing Fast DataFrame Alternative

KDnuggets

Learn how to migrate from Pandas to Polars with practical examples, side-by-side code comparisons, and strategies to unlock performance improvements on your existing data workflows.

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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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Stream data from Amazon MSK to Apache Iceberg tables in Amazon S3 and Amazon S3 Tables using Amazon Data Firehose

AWS Big Data

In today’s data-driven/fast-paced landscape/environment real-time streaming analytics has become critical for business success. From detecting fraudulent transactions in financial services to monitoring Internet of Things (IoT) sensor data in manufacturing, or tracking user behavior in ecommerce platforms, streaming analytics enables organizations to make split-second decisions and respond to opportunities and threats as they emerge.

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“엉터리 데이터, AI 성과 두 배로 망쳐”···글로벌 CIO 4인이 제시한 AI 시대의 데이터 관리 해법

CIO Business Intelligence

고품질 데이터는 모든 IT 이니셔티브의 성공에 있어 필수적이다. 특히 AI 프로젝트에서는 그 중요성이 더욱 크다. 잘못된 데이터는 언제나 잘못된 결과를 낳으며, AI에서는 이로 인한 재무적 손실, 규제 위반에 따른 벌금, 평판 훼손 등 그 대가가 훨씬 더 크다. 반면, 성공적인 이니셔티브를 뒷받침하는 양질의 데이터는 전략적으로 중대한, 경우에 따라 판도를 바꿀 수 있는 경쟁력을 제공할 수 있다. 무선 네트워크용 반도체 제조사 스카이웍스 솔루션즈(Skyworks Solutions)의 부사장이자 CIO인 사티야 자야데브는 “AI 세계에서는 ‘쓰레기를 넣으면 쓰레기가 나온다’는 말이 두 배로 적용된다”라며 “우수한 AI 시스템의 비결은 데이터 계층을 얼마나 잘 구축하느냐에 달려 있다”라고 조언했다.

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AI Agents – Simplicity That Leads To Complexity

DataFloq

AI Agents may be the biggest craze in AI today. There is some good reason for this, of course, but most people have not thought critically about exactly what AI agents are, what they do, and how to make them work pragmatically. Here, I will lay out why I think very simple, specialized agents will be the norm. Those simple agents will be combined, however, to enable very complex and compelling functionality.

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A Practical Guide to Multimodal Data Analytics

KDnuggets

BigQuery's ObjectRef unifies structured and unstructured data, enabling multimodal analytics via SQL and Python.

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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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How Multimodal LLMs Work – The Vision Story

Analytics Vidhya

Multimodal Large Language Models (MLLMs) have lately become the talk of the AI universe. It is dynamically reshaping how AI systems understand and interact with our complex, multi-sensory world. These multi-sensory inputs that we get can also be coined as our different modalities (images, audio, etc.). From Google’s latest Veo 3, generating state-of-the-art videos to […] The post How Multimodal LLMs Work – The Vision Story appeared first on Analytics Vidhya.

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오픈AI의 ‘o3’ 가격 인하, ‘바이브 코더’의 판을 뒤흔들다

CIO Business Intelligence

지난 6월 10일, 오픈AI(OpenAI)가 대표 추론 모델인 o3의 가격을 대폭 인하했다. 입력 100만 토큰당 10달러, 출력 100만 토큰당 40달러였던 가격이 각각 2달러, 8달러로 약 80% 줄어든 것이다. API 리셀러들도 곧바로 반응했다. 커서(Cursor)는 이제 o3 요청을 GPT-4o와 동일하게 계산하며, 윈드서프(Windsurf)도 ‘o3-reasoning’ 등급을 단일 크레딧으로 낮췄다. 커서 사용자 입장에서는 하루 만에 비용이 10분의 1로 줄어든 셈이다. 지연 시간도 함께 개선됐다. 오픈AI는 새로운 지연 시간 수치를 공식적으로 발표하진 않았지만, 서드파티 대시보드에서는 여전히 긴 프롬프트의 경우 첫 토큰 출력까지 약 15~20초가 소요되는 것으로 나타난다.

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You can’t prioritise what you don’t value

Anmut

Data leaders are caught in a high-stakes contradiction Many are accountable for enabling better business decisions but often lack the authority to truly influence where and how data is invested. The result is a cycle of ambition without traction, initiatives without backing, and data that never quite earns its seat at the top table. Most data strategies aim to align data with business outcomes.

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Deploying the Magistral vLLM Server on Modal

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 Deploying the Magistral vLLM Server on Modal A guide for Python beginners to build, deploy, and test a Magistral reasoning model.

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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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Top 10 LLM Research Papers of 2025

Analytics Vidhya

2025 as an year has been home to several breakthroughs when it comes to large language models (LLMs). The technology has found a home in almost every domain imaginable and is increasingly being integrated into conventional workflows. With so much happening around, it’s a tall order to keep track of significant findings. This article would […] The post Top 10 LLM Research Papers of 2025 appeared first on Analytics Vidhya.

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칼럼 | 주가 상승 이끈 오라클의 AI 중심 전환, 남은 과제는 개발자 공략

CIO Business Intelligence

인프라와 AI 수요 급증에 힘입어, 오라클의 주가가 마침내 그간의 ‘클라우드’ 약속에 부응하고 있다. 설립 46년 차를 맞은 오라클은 2025 회계연도 4분기 실적 발표에서 매출 11% 증가(159억 달러)라는 예상 밖의 성과를 공개하며 미 월가를 놀라게 했고, 향후 전망도 낙관적으로 제시했다. 이에 따라 오라클 주가는 2001년 이후 최고의 주간 상승률인 24%를 기록했다. 투자자를 만족시키는 일은 비교적 쉽고, 때론 속이기도 쉬운 일이지만, 이번 매출 성장에는 실질적인 의미가 담겨 있다. 그리고 그 핵심에는 ‘데이터’가 있다. 오라클의 이러한 전략은 과거와 크게 달라진 모습이다. 필자를 포함한 업계 전문가들은 오라클이 클라우드 도입에 지나치게 소극적이었다고 지적해왔다.

IoT
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3 Keys to a Modern Data Architecture Strategy Fit for Scaling AI

Dataiku

Let’s face it: Architecture frameworks start to decay as soon as someone puts them on a PowerPoint slide. If there’s one thing we’ve learned at Dataiku after talking to thousands of prospects and customers about their data architecture, it’s that they also tend to be more aspirational than realistic because, at the enterprise level, data architecture is both complex and constantly changing.

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Go vs. Python for Modern Data Workflows: Need Help Deciding?

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 Go vs. Python for Modern Data Workflows: Need Help Deciding? Need both performance and flexibility in your data workflows?

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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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MiniMax-M1 and MiniMax Agent: China’s Biggest Open-source Reasoning Model and Agent

Analytics Vidhya

The Chinese AI company, MiniMaxAI, has just launched a large-scale open-source reasoning model, named MiniMax-M1. The model, released on Day 1 of the 5-day MiniMaxWeek event, seems to give a good competition to OpenAI o3, Claude 4, DeepSeke-R1, and other contemporaries. Along with the chatbot, MiniMax has also released an agent in beta version, capable […] The post MiniMax-M1 and MiniMax Agent: China’s Biggest Open-source Reasoning Model and Agent appeared first on Analytics Vidhya.

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“확연히 다르다”··· 유통과 금융 업계, 생성형 AI 개발 전략 차이는?

CIO Business Intelligence

AI 보안 전문 기업 애피로(Apiiro)가 유통과 금융 업계의 생성형 AI 도입 전략을 비교 분석한 보고서 를 지난 18일 공개했다. 분석 결과에 따르면 유통 기업들은 훨씬 공격적인 방식으로 접근 중인 반면, 금융 기업은 더 오랜 기간에 걸쳐 기술을 개발하고 있는 것으로 나타났다. 애피로는 “유통 기업은 생성형 AI를 빠르게 프로덕션 환경에 적용하고 있으며, 금융 기업은 실험 단계를 유지하고 있는 경우가 많았다”라고 분석했다. 보고서에 따르면 생성형 AI 구성 요소를 포함한 저장소 비율 기준으로 유통 기업은 금융보다 2.1배 빠르게 기술을 내재화하고 있다. 이번 분석은 애피로의 딥 코드 분석(Deep Code Analysis) 도구를 활용해 10만 개 이상의 코드 저장소를 검토한 결과로, 유통과 금융 기업이 생성형 AI 코딩 전략에 서로 다른 방식으로 접근하고 있음을 보여줬다.

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You Can’t Build a Smart Nation on Siloed Data

Data Virtualization

Reading Time: 2 minutes Across many digitally ambitious governments, the goal is clear: deliver intelligent, connected, and citizen-centric public services. From identity platforms and virtual assistants to smart cities and green infrastructure, the building blocks are being deployed at scale. But there’s a growing. The post You Can’t Build a Smart Nation on Siloed Data appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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NotebookLM + Deep Research: The Ultimate Learning Hack

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 NotebookLM + Deep Research: The Ultimate Learning Hack Let’s unlock smarter, faster learning by combining NotebookLM with deep research strategies.

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

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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7 Key Highlights from Geoffrey Hinton on Superintelligent AI

Analytics Vidhya

If the Godfather of AI, tells you to “train to be a plumber” you know that you got to pay attention, atleast thats what got me hooked. In a recent conversation, Geoffrey Hinton discussed the various possibilities in the upcoming era of superintelligent AI and if you are wondering how did this conversation go about, […] The post 7 Key Highlights from Geoffrey Hinton on Superintelligent AI appeared first on Analytics Vidhya.

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Zoho unveils Zia Hubs, its answer to Copilot and Duet AI for unstructured content intelligence

CIO Business Intelligence

Zoho has launched Zia Hubs, a new AI-powered content intelligence layer that is designed to unlock insights from unstructured business data. The new tool is designed to help enterprises derive insights from any type of file format or structure, including PDFs, call logs, audio files, emails, and meeting recordings. A tool within Zoho WorkDrive, Zia Hubs leverages the company’s proprietary AI engine, Zia, to extract meaning, context, and actionable intelligence from a wide variety of file formats

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Secure access to a cross-account Amazon MSK cluster from Amazon MSK Connect using IAM authentication

AWS Big Data

Amazon Managed Streaming for Apache Kafka (MSK) Connect is a fully managed, scalable, and highly available service that enables the streaming of data between Apache Kafka and other data systems. Amazon MSK Connect is built on top of Kafka Connect , an open-source framework that provides a standard way to connect Kafka with external data systems. Kafka Connect supports a variety of connectors, which are used to stream data in and out of Kafka.

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Agentic AI: A Self-Study Roadmap

KDnuggets

A comprehensive guide to building AI systems that can plan, reason, and act autonomously — from basic tool-using agents to sophisticated multi-agent collaborations.

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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.