Wed.Apr 02, 2025

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Case in point: taking stock of the CrowdStrike outages

CIO Business Intelligence

Last summer, a faulty CrowdStrike software update took down millions of computers, caused billions in damages, and underscored that companies are still not able to manage third-party risks, or respond quickly and efficiently to disruptions. It was an interesting case study of global cyber impact, says Charles Clancy, CTO at Mitre. In response to the outage, 84% of companies are either considering diversifying their software and service providers, or are already doing so, according to a survey by

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Copyright-Aware AI: Let’s Make It So

O'Reilly on Data

On April 22, 2022, I received an out-of-the-blue text from Sam Altman inquiring about the possibility of training GPT-4 on OReilly books. We had a call a few days later to discuss the possibility. As I recall our conversation, I told Sam I was intrigued, but with reservations. I explained to him that we could only license our data if they had some mechanism for tracking usage and compensating authors.

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How the wow factor drives innovation at Northeast Grocery

CIO Business Intelligence

The AI revolution is rewriting the CIO playbook across industries, creating unprecedented opportunities for technology leaders to elevate their strategic impact. At Northeast Grocery, this shift has enabled a fundamental redistribution of responsibility for future readiness across the organization. No longer solely accountable for anticipating tomorrows tech needs, CIOs like Scott Kessler are now equipping business partners with AI capabilities that make envisioning the future a shared effort.

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What is Bias in a RAG System?

Analytics Vidhya

RAG, or Retrieval-Augmented Generation, has received widespread acceptance when it comes to reducing model hallucinations and enhancing the domain-specific knowledge base of large language models (LLMs). Corroborating information produced by an LLM with external data sources has helped keep the model outputs fresh and authentic. However, recent findings in a RAG system have underscored the […] The post What is Bias in a RAG System?

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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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What does an AI consultant actually do?

CIO Business Intelligence

Artificial intelligence (AI) has long since arrived in companies. Whether in process automation, data analysis or the development of new services AI holds enormous potential. But how does a company find out which AI applications really fit its own goals? This is where AI consultants come into play. AI consultants support companies in identifying, evaluating and profitably implementing possible AI application scenarios.

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What is S/4HANA? SAP’s latest ERP system explained

CIO Business Intelligence

What is S/4HANA? S/4HANA is SAPs latest iteration of its flagship enterprise resource planning (ERP) system. The successor to SAP ECC, S/4HANA is built on an in-memory database and is designed to enable real-time data processing and analysis for businesses. It is available both in a cloud-based SaaS and an on-premises version. The abbreviation S/4HANA sounds cryptic but fits seamlessly with its predecessors.

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Shadow AI – Rising from the Penumbra

TDAN

In the last couple of years, AI has taken over our organizations. While the benefits of using AI to augment your organizations ability to achieve its business goals are abundant, the risks associated with unmanaged AI use are many.

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The strategic move CIOs must take to transform procurement

CIO Business Intelligence

Many procurement teams are struggling to optimize spend while effectively managing supplier relationships, mitigating supply chain disruptions, and maintaining compliance. Traditional procurement processes often manual and siloed cant keep up. To increase competitiveness, organizations are turning to AI-driven solutions that transform the procurement function with automation and intelligence.

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Crossing the Data Divide: Where Should Data Lineage Rank in a Data Leader’s Priorities?

TDAN

Ive been deeply involved in implementing data lineage using several technologies throughout my career, but things are different now. One practical difference is that now I do advisory work for data leaders. They expect input on their priorities and strategy, so I need reasoned opinions based on value, opportunity cost, and organizational maturity.

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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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A Beginner’s Guide to Google AI Studio

Analytics Vidhya

Imagine having a magic wand that turns your wildest tech dreams into reality. Thats exactly what Google AI Studio is your personal gateway to the exciting world of Artificial Intelligence. This guide to Google AI Studio bridges the gap between complex machine learning technologies and practical applications. Whether youre a developer, data scientist, or […] The post A Beginners Guide to Google AI Studio appeared first on Analytics Vidhya.

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What Does the Citizen Data Scientist Concept Entail?

TDAN

In 2016, the technology research firmGartnercoined the term citizen data scientist, defining it as a person who creates or generates models that leverage predictive or prescriptive analytics, but whose primary job function is outside of the field of statistics and analytics.

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Lesser-Known Python Functions That Are Super Useful

KDnuggets

Go beyond the basics by adding these cool and useful Python functions to your programming toolbox.

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Data Professional Introspective: The Final Retrospect

TDAN

If youve been part of the data management and governance world for any amount of time, youve likely come across the sharp insights and structured thinking of Melanie Mecca. Her work has been a beacon in an industry often clouded by ambiguity, misinformation, and resistance to change. Through her regular TDAN.

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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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10 GitHub Repositories to Master Cloud Computing

KDnuggets

Learn cloud computing concepts, tools, and best practices through free, community-driven content on GitHub.

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Optimizing Trademark Registration with Data Analytics

Smart Data Collective

Data analytics helps businesses secure unique trademarks, reduce legal risks, and gain valuable insights for brand protection.

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Exploring the Role of Smaller LMs in Augmenting RAG Systems

KDnuggets

Let's discover what small language models (SLMs) are, how they can be used in RAG systems and applications, and when to use them over their large language counterparts.

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Equipos multigeneracionales, un reto más allá de la tecnología

CIO Business Intelligence

El sector tecnolgico es fundamentalmente joven. Con una fuerza de trabajo situada entre los 25 y 44 aos en su mayora y una edad promedio de 40 aos, el grupo de mayores de 55 aos es apenas el 7,5% del total de 661.445 personas que haba empleadas en TI en Espaa, segn un informe de Randstad Research con datos del segundo trimestre de 2024. Aproximadamente el mismo porcentaje de quienes tienen entre 16 y 24 aos, una franja de edad en la que an es habitual que se estn formando.

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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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Why We Shouldn’t Be Surprised by the High Failure Rates of AI

TDAN

The Vegas Chapel Epiphany While delivering a workshop in Las Vegas recently, I walked past several wedding chapels, each offering quick, convenient ceremonies. Every few feet, another sign advertised a fast, hassle-free wedding. There were even $40 wedding bouquet vending machines. Yet, 56% of marriages end in divorce. Lets break that down further.

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Onilsa busca, digitalización mediante, impulsar una construcción eficiente y sostenible

CIO Business Intelligence

Onilsa, la compaa espaola que ejecuta proyectos para los sectores logstico, industrial y comercial, apuesta en firme por la digitalizacin como palanca para impulsar una construccin ms eficiente y sostenible. En concreto, la constructora ha optado por implementar la solucin de gestin de proyectos Arbentia Project Management sobre tecnologa Microsoft con vistas a mejorar la homogeneidad y el manejo de sus datos.

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Carrefour apuesta por la IA centrada en el usuario final: así es el piloto desplegado en España

CIO Business Intelligence

Carrefour apuesta en firme por la inteligencia artificial (IA) con el propsito de capitanear la transformacin digital del sector del retail. La multinacional francesa ha elegido Espaa como sede del proyecto piloto de IA que aspira a desplegar a lo largo y ancho de la geografa. En concreto, la compaa ha lanzado en sus oficinas en la capital una solucin de IA bautizada como ai.Carrefour , diseada para facilitar la transicin digital de sus colaboradores con el objetivo de ofrecer el mejor servicio

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수세 CRO “벤더 종속 심화하는 IT 인프라 시장··· 오픈소스 철학 유지할 것”

CIO Business Intelligence

CRO IT . . VM , IT , CRO . , , IT . , , . CRO 1 . . , , , , . srcset="[link] 1080w, [link] 300w, [link] 768w, [link] 1024w, [link] 720w, [link] 173w, [link] 87w, [link] 496w, [link] 372w, [link] 258w" width="1024" height="992" sizes="(max-width: 1024px) 100vw, 1024px"> Werner Knoblich, SUSE Cheif Revenue Officer SUSE , , AI, 4 , .

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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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JALを救ったSAKURAプロジェクト:50年ぶりの改革と復活の全貌

CIO Business Intelligence

40PSS JAL2010119 IT JAL1967IBMJALCOM IBMOS JALJAL19993JALCOM PSS2002 SAKURACX 1990JALJAS 2010119IT1IT SAKURA20114SAKURA 20123ITITIT Altea 2011 SaaSSaaS SaaS 2012IT(RFP)Altea Altea 32015 JALCOM10070AlteaAlteaSOA AlteaJAL 300 20144WebPSS JALCOMWeb 20144SAKURA3IT4050ITIT 100300 IBMJALITJALJAL200 150PMO(NRI)2014IBM ITITNRIPSSNRIIBMPOSIBM IBMJALCOMJALCOMAlteaPSSIT PSS Altea AlteaJ JAL PNRPassenger Name RecordeJALCOM464PNR894e Altea6JAMPJALCOM 2JAMPAltea 399Altea 201711159166 13003 1 JALAltea1 122

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“AI에 10억 달러 투자할 것”··· 시스코, ‘원 시스코’ 하에 AI 보안·에이전트 강화 전략 제시

CIO Business Intelligence

AI GPU LLM , , AI 5 . 2025 AI, AI . AI AI . 2023 AI . AI (Cisco Security Cloud) AI , . , AI . , AI , , , . AI , AI , . AI AI . AI , . AI , , , , . () , AI . , AI .

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비즈니스 멈춤 없는 보안을 향해··· CISO가 풀어야 할 과제들

CIO Business Intelligence

, . , CIO CISO . IANS 2025 CISO , CISO (Business Continuity, BC) . IANS CISO . , . , . (BCDR) . , . . : CISO . . . 2024 , 46% . 3 2 . . (Cohesity) , , , , . . .

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¿Recuerdas cuando los desarrolladores reinaban? El mercado de la codificación de software se debilita

CIO Business Intelligence

Parece que fue ayer cuando los desarrolladores de software estaban en la cima del mundo y cualquiera con experiencia bsica en codificacin poda conseguir mltiples ofertas de trabajo. Sin embargo, esto fue hace cinco o seis aos, y los desarrolladores ya no son los reyes del empleo en TI. Los ttulos de trabajo como ingeniero de datos, ingeniero de aprendizaje automtico y gerente de productos de IA han suplantado a los desarrolladores de software tradicionales cerca de la cima, ya que las empresas s

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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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우리도 있다! 매니지드 쿠버네티스 플랫폼 14종

CIO Business Intelligence

. . 2021 , 90% . . (EKS), (AKS), (GKE). . . (CNCF) 100 . 3 . , . . , . . . (ACK) (ACK) . . VPC GPU . , - . ACK . ACK VPC , (Cilium) eBPF CNI ( ). , , RBAC( ) . , . , ACK .

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인터뷰 | 노스웨스트 그로서리의 ‘와우 팩터’ 활용법

CIO Business Intelligence

AI CIO . . (Northeast Grocery) . . CIO , AI . AI CIO . Q. ? 3 FNJ . , , AI . AI . . . . , , , . SaaS , , , , AI . Q. ? (Simbe Robotics) (Tally) . , , , . AI , , , . 250 GPT , , HR , , .

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칼럼 | 현직 CISO들이 언급한 ‘취약점 관리 모범 사례’ 10가지

CIO Business Intelligence

2003 . (MSBlast, SQLSlammer ) , . . . ? . . . 20 , . . 2003 , . . , , (IT , ) . . CISO ? 12 , 10 . 10 1. . CISO . CISO Log4J . CEO . , . . 2. CISO , , . . , , .

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