Tue.Apr 29, 2025

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How MCP can revolutionize the way DevOps teams use AI

CIO Business Intelligence

Traditionally, the main benefit that generative AI technology offered DevOps teams was the ability to produce things, such as code, quickly and automatically. But not all DevOps work involves generating things. Much of it centers on performing actions, like modifying cloud service configurations, deploying applications or merging log files, to name just a handful of examples.

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Context Serialization

O'Reilly on Data

In a recent edition of The Sequence Engineering newsletter, Why Did MCP Win? , the authors point to context serialization and exchange as a reasonperhaps the most important reasonwhy everyones talking about the Model Context Protocol. I was puzzled by thisIve read a lot of technical and semitechnical posts about MCP and havent seen context serialization mentioned.

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What makes a true AI agent? CIOs struggle with the definition as hype blurs lines

CIO Business Intelligence

Agentic AI has replaced generative AI at the top of the technology hype cycle, but theres one major problem: A standard definition of an AI agent doesnt yet exist. With dozens, if not hundreds, of vendors touting their agentic AI products, a lack of definition could lead to confusion as CIOs and other IT leaders seek to purchase and deploy the emerging technology.

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“Death by 1000 Pilots”

O'Reilly on Data

Most companies find that the biggest challenge to AI is taking a promising experiment, demo, or proof-of-concept and bringing it to market. McKinsey Digital Analyst Rodney Zemmel sums this up: Its so easy to fire up a pilot that you can get stuck in this death by 1,000 pilots approach. Its easy to see AIs potential, come up with some ideas, and spin up dozens (if not thousands) of pilot projects.

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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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Can AI solve your technical debt problem?

CIO Business Intelligence

IT leaders know they must eventually deal with technical debt, but because addressing it doesnt always directly result in increased revenue or new capabilities, it can be difficult to get business management to take it seriously. But t echnical debt can undercut an organizations ability to innovate long term, and the shortcuts taken during initial development likely resulted in a codebase thats convoluted, slow, or difficult for devs to understand.

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Managing the many we’s of IT

CIO Business Intelligence

Since leaving the jungle, humans have divided themselves into categories a set of wes. We 8.2 billion humans would be materially healthier, wealthier, happier, and safer if we could constructively and empathetically reconcile the hopes, dreams, and fears of the many wes that make up our species. Anthropologists and philosophers who study collective behavior embrace the premise that we has three foundational components: the individual (who am I?

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Qwen3 Models: How to Access, Performance, Features, and Applications

Analytics Vidhya

Qwen has been silently adding one model after the other. Each of its models comes packed with features so big and sizes so quantized that they are just impossible to ignore. After QvQ, Qwen2.5-VL, and Qwen2.5-Omni this year, the Qwen team has now released their latest family of models – Qwen3. This time they have […] The post Qwen3 Models: How to Access, Performance, Features, and Applications appeared first on Analytics Vidhya.

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DPDP Act : Brace yourselves for the biggest game-changing legislation for India

CIO Business Intelligence

Indian companies will have to invest in comprehensive data mapping, consent management systems, and privacy-by-design approaches, and totally comply with DPDP Act, 2023 and its rules to avoid exposure to exemplary fines of Rs 250 crores per contravention, stipulated under this data protection law. Dr. PavanDuggal, Advocate, Supreme Court of India and Expert in Cyber & AI laws decodes the cybersecurity trends, impact of AI, emergence of DPO and preparedness of Indian companies for the upcomin

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Latest Features of Meta AI Web App Powered by Llama 4

Analytics Vidhya

Meta AI has been at the forefront of the AI revolution since the advent of its Llama chatbot. Their latest offering, Llama 4, has helped them gain a foothold in the race. From smarter conversations to creating videos, sketching ideas, pulling live research, and even remembering your preferences, Llama 4 is the brain making it […] The post Latest Features of Meta AI Web App Powered by Llama 4 appeared first on Analytics Vidhya.

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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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NZ’s digital leaders seek government partnerships as cyber security rated top priority

CIO Business Intelligence

New Zealands digital leaders want to see more government participation and partnerships in technology and are calling for more visible, strategic and impactful action to drive economic and productivity benefits. That was a key finding in the Technology Users Association of New Zealands Digital Priorities 2025 report, released on Tuesday, outlining the key challenges and opportunities facing New Zealands digital landscape.

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Is This the End of Virtual Interviews?

Analytics Vidhya

Yesterday I saw my roommate preparing for an upcoming interview and she was all over the place – revising topics, practicing codes, and whatnot. Coincidently, I came across an Instagram reel – talking about a tool named Cluely.ai that can help you cheat through online interviews without getting caught. Without a second thought, I forwarded […] The post Is This the End of Virtual Interviews?

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Zero Trust everywhere: How MGM Resorts found agility and security with Zscaler

CIO Business Intelligence

Despite massive cybersecurity investments, breaches continue to happen and the reason for that is often inertia. Technology moves quickly and that can cause discomfort for some executives, meaning they often cling to old models that have been proven again and again to be ineffective against todays threats. Instead of reimagining security and the network from scratch, they try to update legacy models.

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Addressing Overwhelm in Enterprise Security Leadership

David Menninger's Analyst Perspectives

In an era defined by the relentless advance of cyber threats, enterprise security leaders grapple with an overwhelming landscape. Enterprises face complex challenges as sophisticated attacks and increasing responsibilities stretch security teams thin. Many describe daily experiences as perpetual "firefighting," trapped in cycles of reacting to incidents rather than developing proactive strategies to fortify defenses.

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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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FireDucks: An Accelerated Fully Compatible Pandas Library

KDnuggets

Swiftly process your data without hassle with Pandas-like APIs.

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칼럼 | MCP가 여는 데브옵스의 새로운 AI 시대

CIO Business Intelligence

AI . , , , . AI . AI . (Model Context Protocol, MCP) AI . MCP , AI . , (LLM) AWS S3 MS , . AWS DB 1 . MCP . MCP . MCP . MCP MCP , MCP . MCP 2024 , AI . , AI . MCP - . MCP , AI MCP .

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5 Ways to Speed Up Your Data Science Workflow

KDnuggets

Data science is awesome, waiting for slow code isnt. Here are five techniques to speed up your workflow and boost productivity.

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시스코, 엔터프라이즈 네트워크 전반에 AI 기반 보안 자동화 도입

CIO Business Intelligence

28 XDR , AI , AI (SecOps) AI . AI AI(Foundation AI) , AI . RSA 2025 . XDR IT , , . 80 . XDR , AI . , AJ . . , , , , , AI XDR (Instant Attack Verification) . XDR , , (LLM) AI . , XDR SOAR . . , (Security Orchestration, Automation, and Response) SOAR .

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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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How Flutter UKI optimizes data pipelines with AWS Managed Workflows for Apache Airflow

AWS Big Data

This post is co-written with Monica Cujerean and Ionut Hedesiu from Flutter UKI. In this post, we share how Flutter UKI transitioned from a monolithic Amazon Elastic Compute Cloud (Amazon EC2)-based Airflow setup to a scalable and optimized Amazon Managed Workflows for Apache Airflow (Amazon MWAA) architecture using features like Kubernetes Pod Operator, continuous integration and delivery (CI/CD) integration, and performance optimization techniques.

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칼럼 | IT의 다양한 ‘우리’를 관리하기

CIO Business Intelligence

. , . 82 , , , , , . : ( ?), ( ?), ( ?). ( Identity Economics: How Our Identities Shape Our Work, Wages, and Well-Being .) CIO IT ( ?) , . CIO . CIO . IT . CIO , , , . CIO . . CIO , , , , . CIO . . , IT . . IT , IT .

IT
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Best practices for least privilege configuration in Amazon MWAA

AWS Big Data

Amazon Managed Workflows for Apache Airflow (Amazon MWAA) provides a secure and managed environment to run Apache Airflow on AWS. Airflow is often used in highly regulated industries, such as finance and healthcare. These customers might want to further restrict access and traffic to enhance security posture than what the Amazon MWAA default configurations provide.

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전체 일자리의 2/3가 ‘AI 영향권’

CIO Business Intelligence

AI . . 10 40% AI . (WEF) 44% 5 , 40% AI (LLMs) . AI 3 , . 18% . . (Indeed) . 2022 4 3.2%, 2023 2.1%, 2024 1.5%, 2025 1.2% . , CEO 2/3 AI . , AI 1 . 2024 1 2025 1 170% . 2.6% AI . 3~4 30 . , , AI .

IT
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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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How BMW Group built a serverless terabyte-scale data transformation architecture with dbt and Amazon Athena

AWS Big Data

Businesses increasingly require scalable, cost-efficient architectures to process and transform massive datasets. At the BMW Group, our Cloud Efficiency Analytics (CLEA) team has developed a FinOps solution to optimize costs across over 10,000 cloud accounts. While enabling organization-wide efficiency, the team also applied these principles to the data architecture, making sure that CLEA itself operates frugally.

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엔비디아 GPU 수 천개 투입한 오라클··· AI 에이전트·추론 모델 개발 가속

CIO Business Intelligence

(Oracle Cloud Infrastructure, OCI) AI GPU . OCI GB200 NVL72 . 36 Arm (Grace) CPU 2 (Blackwell) GPU , NVLink . GB200 NVL72 1(exaflop) AI . 10 GPU OCI (Supercluster) . . (Hopper) GPU 6 5,536 H200 GPU , 260(FP8 ) . , GPU , , OCI (Dedicated Region) (Alloy) . GB200 NVL72 . , (CoreWeave), (Lambda) , GB200 GPU .

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정철환 칼럼 | 뜬금없는 지브리 열풍

CIO Business Intelligence

GPT . . . // ? . . // ? . A4 3 . . . . . . ? . . AI , AI , IT . AI , AI . . AI , AI . , AI , ?

IT
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IT와 분리되면 무엇이 다를까?··· CISO가 전하는 ‘CFO 직속 보고’의 장점

CIO Business Intelligence

CISO CIO (CFO) , . CISO CIO . CISO , . (Qiagen) CISO CFO . , . IT , IT , . CFO , . CFO . (EPS), EBIT, /(OPEX/CAPEX) . CISO CFO , . CFO , . CISO . (Dominos) CISO CFO . , . , , .

IT
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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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퓨어스토리지, 전인호 신임 한국 지사장 선임 발표

CIO Business Intelligence

HP, VM,(Scality) 30 , . srcset="[link] 1200w, [link] 218w, [link] 768w, [link] 745w, [link] 1117w, [link] 507w, [link] 122w, [link] 61w, [link] 349w, [link] 262w, [link] 182w" width="745" height="1024" sizes="(max-width: 745px) 100vw, 745px"> Pure storage Korea (AI) , AI IT, . ,IT58%AI . ,, AI , .IDC 20244 (Enterprise Storage Systems Tracker) , OEM 13.8% ,8.5% . . , . ,

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팔로알토 네트웍스, 프로텍트 AI 인수··· ‘AI 보안 강화’

CIO Business Intelligence

28 AI AI(Protect AI) . . AI AI 6 5,000~ 7 . AI . AI , . AI AI Securing for AI AI AI . AI . 2026 1 . AI CEO AI , . dl-ciokorea@foundryco.

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삼성전자·AWS 출신 이경수 상무, 현대오토에버 클라우드 인프라 이끈다

CIO Business Intelligence

. , MSP(Managed Service Provider) . 3 . . . 26 AWS IT . IT . 12 . AWS , . AWS MSP . . dl-ciokorea@foundryco.