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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?
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
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 Forget Streamlit: Create an Interactive Data Science Dashboard in Excel in Minutes In this tutorial, we will show how to create an interactive data science dashboard in Excel in minutes without Streamlit.
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.
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.
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.
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.
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.
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.
Microsoft CEO Satya Nadella this week attempted to address European customers’ concerns about data protection while on Microsoft’s AI Tour in Amsterdam. At the same time, he announced additional features to increase digital sovereignty for companies across Europe. “Microsoft is committed to a model of digital sovereignty that empowers individuals and institutions to work independently, securely, and autonomously,” the US software giant said in a statement.
Yanir Seroussi – AI/ML Engineering Consultant About Writing Speaking Consulting Posting into the void – with guardrails June 20, 2025 About a year ago, I was experimenting with frequent posting on LinkedIn. One post didn’t get much attention, but led to a catch-up call with a friend and former colleague. That colleague told me about Tribe AI – a talent network and community for AI professionals.
Recently I spoke to a senior leader of a Europe-based global consumer goods business, and they said that they had always believed that fundamentally cloud would be more efficient than the alternatives. That in a globalized economy pooling resources on infrastructure would always work out to be cheaper in the end. And that they no longer believe that!
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!
Reading Time: 5 minutes The European Data Act (EDA), which goes into effect on September 12, marks a key step in building an equitable, interoperable, and sustainable data economy in Europe. It aims to rebalance power in the digital ecosystem by promoting fair, transparent, The post Unlocking Data Democracy: Denodo and the European Data Act appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information.
Most companies struggle to pick the right AI agent use cases. They either chase flashy demos or waste time on low-value projects. In our recent webinar, my colleague Christian Capdeville and I shared a simple five-step framework. This framework helps organizations choose AI agent use cases that deliver real results and ROI.
Organizations increasingly face complex requirements balancing regional data sovereignty with global analytics needs. Regulatory frameworks like GDPR, HIPAA, and local data protection laws often mandate storing data in specific geographic regions, and business operations require global teams to access and analyze this data efficiently. This post explores how to effectively architect a solution that addresses this specific challenge: enabling comprehensive analytics capabilities for global teams
Over the past two years, US colleges have quietly integrated generative artificial intelligence (GenAI) tools into the classroom and behind the scenes. At Babson College, just outside Boston, the shift to AI has been anything but quiet — it’s been bold, fast, and full of purpose. Babson is certainly not the only college in the US implementing AI technologies.
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.
With AI everywhere, you would be a fool not to use it for image generation. Be it creating content for your online blog, social channels, or just an invite for your birthday party (do invite us), AI is sure to make image generation super simple and fast. What’s more, some of the best AI image […] The post Top 7 Free AI Image Generators: Which Tool Wins?
As vice president and CIO at PPG, Bhaskar Ramachandran is spearheading a multipronged transformation strategy to fuel innovation, customer growth, and new capabilities through cloud technology and AI. With a track record of delivering business impact across several industries, Ramachandran leads with a people-first mindset that helps accelerate strategy.
Let’s talk about the future of software, and trust me, it’s happening right now! I recently caught Andrej Karpathy’s keynote at AI Startup School in San Francisco, and wow, I had to share what I learned. Karpathy, who has previously worked at Tesla, OpenAI, and Stanford, gave us an insider look at Software 3.0, the next big evolution in programming.
I’m sure you’ve heard about the MoSCoW method from strategy gatherings — M ust-have, S hould-have, C ould-have and W on’t-have. It’s a simple but powerful way to prioritize what really matters, particularly when resources are tight and the stakes are high. In 2025, I firmly believe customer data platforms (CDPs) have moved squarely into the “Must-have” category for any organization that wants to unlock the full potential of AI/ML and GenAI.
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.
With the evolution of AI and its integration with social media, there is no doubt that it helps in creating valuable content. Since it has led to reducing human interaction, the aftermath of this integration has resulted in reduced attention span. So the question is, how can you get undivided attention from your reader while […] The post How to Build Your Own Newsletter AI Agent appeared first on Analytics Vidhya.
Tapping into the vast power of emerging technologies, like AI, requires flexibility and scalability to support rapidly evolving data needs. With that, most organizations have come to recognize the importance of adopting a hybrid approach, opting to leverage multiple environments spanning everything from cloud to on-premises. A hybrid cloud approach to data management is essential for improving data quality and availability, both of which pose immense challenges to enterprises today.
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 GitHub Repositories to Master Web Development in 2025 Learn web development skills through courses, exercises, interview questions, checklist, and project ideas.
One of the most valuable assets an enterprise can tap into is its own data — sales transactions, web analytics, and input from third-party data sources. But the value this data holds will remain unrealized until it can be transformed into actionable insights. To unlock data-driven value, IT leaders must be able to quickly and easily explore data and share insights across teams at every stage of the data lifecycle.
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.
The race to harness AI agents is on. According to recent research from Cloudera , a near-unanimous 96% of IT and data executives intend to at least broaden their use of AI agents this year. Nearly half plan for widespread integration across their organizations. This enthusiasm is hardly surprising. AI agents represent a major opportunity for enterprises to quickly boost productivity and efficiency with autonomous task management.
지난 2년간 미국 대학들은 생성형 AI 도구 를 수업과 행정 전반에 조용히 통합해 왔다. 하지만 보스턴 외곽에 위치한 뱁슨칼리지(Babson College)의 전환은 조용함과는 거리가 멀었다. 대담하고 빠르며, 분명한 목표를 갖고 진행됐다. AI 기술을 도입한 미국 내 유일한 대학은 아니지만, 뱁슨은 비즈니스 교육 혁신을 선도하는 대학이라고 자부하고 있다. 생성형 AI를 최대한 활용해 학습 효율을 높이고 행정 업무를 단순화하며, 학생들이 미래 사회에 대비할 수 있도록 지원하고 있다. 뱁슨은 지난 2023년 가을 ‘에듀AI 혁신(EduAI Revolution)’이라는 프로젝트를 출범시키며 AI 전략을 본격적으로 실행에 옮겼다.
Mejorar los servicios que ofrece a la ciudadanía es el objetivo de la Junta de Andalucía con el desarrollo y adopción de JuntaGPT , una herramienta de IA generativa que utilizarán sus funcionarios para eficientar tareas como la generación de respuestas a la ciudadanía, la elaboración de resúmenes, la redacción de correos y otras tareas de su día a día.
아마존이 ‘ 더 빠른 배송을 위한 AI 기반 혁신 3가지 (3 AI-powered innovations to get packages to customers faster’를 공개했다. 배송 위치를 정확하게 알려주는 웰스프링(Wellspring), 고객 경험을 지원하는 AI 기반 수요 예측 모델, 자연어로 로봇에 자연어로 명령을 내릴 수 있는 에이전틱(Agentic) AI가 이러한 전환의 중심 축을 담당하고 있다. 웰스프링은 생성형 AI 매핑(Generative AI mapping)을 활용해 배송 정확도를 높이는 기술이다. 주소만을 기반으로 하는 배송 위치가 단순히 ‘점’ 형태로 지도에 표시하는 것이라면, 웰스프링은 아파트 입구, 주차 공간, 공용 택배 공간 등을 고려해 최적의 배송 경로까지 알려주는 ‘선’이라고 생각하면 된다.
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.
MS CEO 사티아 나델라는 최근 암스테르담에서 열린 ‘마이크로소프트 AI 투어’에서 유럽 고객의 데이터 보호 우려를 해소하기 위해 노력하고 있다고 밝혔다. 동시에, 유럽 전역의 기업들이 디지털 주권을 확보할 수 있도록 추가 기능을 발표했다. MS는 성명 을 통해 “개인과 기관이 독립적이고, 안전하며, 자율적으로 일할 수 있도록 하는 디지털 주권 모델에 전념하고 있다”라고 설명했다. MS에 따르면, 발표된 새로운 기능은 퍼블릭 클라우드를 이용하는 모든 유럽 조직의 주권을 확장하는 동시에, 소버린 프라이빗 클라우드 환경에서 MS 서비스를 운영할 수 있는 새로운 옵션을 제공한다. 소버린 클라우드(Microsoft Sovereign Cloud)가 생산성, 보안, 클라우드 솔루션을 통합해 유럽 기업들이 더 많은 통제권을 갖도록 지원한다고 MS는 설명했다.
지난 2023년 7월에 등장했던 악성 LLM 웜GPT의 새로운 두 변종이 확인됐다. 이 변종들은 xAI의 그록, 미스트랄(Mistral)의 믹스트랄 모델을 기반으로 하고 있으며, 기존 모델처럼 제한 없이 피싱 이메일, BEC 메시지, 멀웨어 스크립트를 생성할 수 있다. 클라우드 기반 네트워크 보안 기업 카토네트웍스(CATO Networks)가 지난해 10월부터 올해 2월 사이 언더그라운드 마켓플레이스인 브리치포럼(BreachForums) 에 게시된 해당 변종들을 분석한 결과, 기존에 보고되지 않았던 신종 모델임을 확인했다. 카토 CTRL 소속 연구원 비탈리 시모노비치는 블로그를 통해 “2024년 10월 26일, ‘xzin0vich’가 브리치포럼에 웜GPT 의 새로운 변종을 게시했다. 2025년 2월 25일에는 ‘Keanu’가 또 다른 변종을 업로드했다”라고 밝혔다.
매체 보도에 따르면 인텔은 다음 달부터 제조 부문 직원의 최대 20%를 감원할 계획이다. 이는 인텔이 수익성 회복을 목표로 하는 가운데 선택지가 점점 줄어들고 있음을 시사하는 조치로 해석됐다. 매체 오리거니언(The Oregonian) 이 보도한 인텔 제조 부문 부사장 나가 찬드라세카라난의 사내 메모에 따르면, 이번 감원은 전 세계적으로 이뤄질 예정이며 일부는 미국 내에서 단행될 예정이다. 해당 보도에 의하면 감원은 인텔의 미국 내 핵심 거점인 오리건주 반도체 공장에도 영향을 미칠 것으로 예상됐다. 인텔은 오리건주에서 2만 명의 직원을 고용하고 있어 지역 내 최대 고용주에 속한다. 인포테크 리서치 그룹(Info-Tech Research Group) 자문위원인 스콧 비클리는 “신임 CEO 립부 탄 이 경영에 들어서자마자 인력 감축 결정을 내린 것은 놀랄 일이 아니다.
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