KDnuggets
JUNE 23, 2025
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 MLFlow Mastery: A Complete Guide to Experiment Tracking and Model Management MLFlow is a tool that helps you manage machine learning projects.
Analytics Vidhya
JUNE 23, 2025
In 2025, there’s a new AI tool for everything – text, images, coding, video, you name it, and professionals are eager to know “what’s the best tool for making their work easy?” This topic stays hot as long as generative AI keeps evolving. Everyone’s hunting for the latest AI tools to boost productivity and creativity. […] The post 12 AI Tools Everyone is Using in 2025 appeared first on Analytics Vidhya.
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KDnuggets
JUNE 23, 2025
Here's a roadmap to learning programming for data science, designed for absolute beginners with big ambitions.
AWS Big Data
JUNE 23, 2025
This guest post was co-authored with Kostas Diamantis from Skroutz. At Skroutz , we are passionate about our product, and it is always our top priority. We are constantly working to improve and evolve it, supported by a large and talented team of software engineers. Our product’s continuous innovation and evolution lead to frequent updates, often necessitating changes and additions to the schemas of our operational databases.
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.
Analytics Vidhya
JUNE 23, 2025
Have you ever tried to build your own Large Language Model (LLM) application? Ever wondered how people are making their own LLM application to increase their productivity? LLM applications have proven to be useful in every aspect. Building an LLM app is now within everyone’s reach. Thanks to the availability of AI models as well […] The post How to Build your First LLM Application?
CIO Business Intelligence
JUNE 23, 2025
Nearly every CEO on the planet has spent the last two years touting the potential of generative AI (GenAI), and increasingly agentic AI, as the future of efficiency and increased profitability. Rightly so, we’re currently in the midst of an AI super cycle that will drive the biggest technological transformation businesses have seen in the past 25 years.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
JUNE 23, 2025
Online travel services are big business. Last year they netted $600 billion, and by the end of the decade, they will be worth closer to $1 trillion annually. That kind of value does not come about by chance. It involves turning very complex markets — with countless variables of price, availability, and timing — into seamless products and processes that customers are able to use without being aware of the specifics of the underlying technology.
ScienceSoft
JUNE 23, 2025
Explore five different types of artificial intelligence (AI) – analytic, interactive, text, visual and functional – and get inspired by real-life business examples of AI in action.
KDnuggets
JUNE 23, 2025
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 Things You Need to Know About Agentic AI Check out these insights you need to know before jumping into the latest hype.
CIO Business Intelligence
JUNE 23, 2025
In today’s rapidly evolving digital landscape, the integration of artificial intelligence (AI) into enterprise applications is not just a trend — it’s a transformative force reshaping how businesses operate, compete and innovate. As emerging technologies like edge computing, genAI and intelligent automation mature, they are converging with enterprise systems to create smarter, more responsive and efficient organizations.
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!
Anmut
JUNE 23, 2025
Smart assets, smarter decisions Last week, Anmut attended the Institute of Asset Management’s Global Conference 2025 , where the central theme focused on improving outcomes across the asset management industry, particularly through value-based thinking and data-led decision intelligence. A recurring discussion throughout the event was the growing recognition that data must be treated as a strategic asset to enable informed, effective decisions across the full lifecycle of physical assets.
CIO Business Intelligence
JUNE 23, 2025
When done right, relationships built on a foundation of trust and collaboration, in addition to tech, can deliver groundbreaking results that are easier to quantify. Here are seven reasons why getting the formula right matters. 1. Accelerate decision-making The ability to make decisions quickly can become a company’s greatest strength, particularly in today’s fast-paced and rapidly changing business environment.
Paul Turley
JUNE 23, 2025
Tableau led the self-service visual reporting revolution and now part of the Salesforce suite, it is bound to continue to have a loyal following and user base. The purpose of this article is not to compare Tableau to Power BI nor to expound on the strengths or perceived weaknesses of either product, but to share my experience and learnings about using Tableau with Microsoft Fabric and Power BI semantic models.
CIO Business Intelligence
JUNE 23, 2025
Generative artificial intelligence (GenAI) continues to soar in Asia Pacific, with spending predicted to reach US$26 billion by 2027. This highlights organizations’ strong belief in GenAI’s potential to enhance product development and design workflows, automate processes, and generate content, ultimately creating better business outcomes. Central to this growth is the evolving capabilities of large language models (LLMs).
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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.
CIO Business Intelligence
JUNE 23, 2025
Your CEO calls at 3 am. Every system is locked. Every user is blocked. Your Active Directory has been compromised. This nightmare plays out across enterprises daily. The backbone supporting more than 90% of organisations globally [1] has become the primary target of cybercriminals. Unfortunately, most executives treat Active Directory like office furniture: essential but invisible.
CIO Business Intelligence
JUNE 23, 2025
The global manufacturing sector is undergoing a profound transformation. The convergence of Information Technology (IT) and Operational Technology (OT) has ushered in an era of intelligent, data-driven production. Manufacturing Execution System (MES) and Manufacturing Operations Management (MOM) systems are at the epicenter of this transformation, delivering real-time visibility, data-driven insights, and optimized processes.
CIO Business Intelligence
JUNE 23, 2025
The manufacturing industry has long been a cornerstone of global economies, driving innovation, employment, and growth. As digital transformation accelerates, artificial intelligence (AI) is driving a major shift in the last few years. This is setting new standards for efficiency and reliability across manufacturing processes, particularly in quality control, where it replaces traditional, error-prone methods with faster, cost-effective solutions.
CIO Business Intelligence
JUNE 23, 2025
In today’s hyper-competitive manufacturing landscape, operational efficiency, product quality, and agility are no longer aspirations, they are imperatives. The traditional production model, once characterized by manual quality control, reactive maintenance, and rigid processes, is rapidly giving way to intelligent, data-driven operations powered by artificial intelligence (AI).
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.
CIO Business Intelligence
JUNE 23, 2025
Over the past decade, the convergence of Operational Technology (OT) and Information Technology (IT) in the manufacturing space has accelerated dramatically, driven by the adoption of interoperable platforms, open standards, and modern industrial software that enable seamless integration across systems. This integration of traditionally disparate systems into a unified framework is fundamentally reshaping how manufacturing operations are managed and optimized today.
CIO Business Intelligence
JUNE 23, 2025
2010년대 초반부터 클라우드, 모바일, 분석 기술 도입은 디지털 전환의 상징처럼 여겨졌다. 그러나 기술이 어떻게 사람과 프로세스를 연결하고 변화시키는지에 대한 고민은 부족했다. 그 결과 IT 솔루션은 기술 중심으로 설계됐고, 실제 비즈니스 문제를 기술이 제공하는 기능에 맞춰 해결하는 방식이 일반적이었다. 최근 인공지능(AI)이 이러한 접근 방식을 근본적으로 전환할 가능성을 보여주고 있다. 특히 생성형 AI가 고객 서비스 분야에서 대부분의 문의를 효율적으로 해결하며 그 가능성을 드러내고 있다. 아직 초기 단계지만, AI가 문맥과 인간의 의도를 이해할 수 있는 능력은 사람 중심의 디지털 전환이라는 새로운 방향성을 암시하고 있다.
CIO Business Intelligence
JUNE 23, 2025
La IA generativa sigue siendo el protagonista de las conversaciones de negocio. De hecho, la entrada de los agentes ha servido para mantener el interés en primera línea. Los inversores saben el potencial que trae y exigen que forme parte del relato corporativo. Por tanto, las unidades de negocio se ven empujadas a incluirla en su hoja de ruta y la exhiben como buque insignia en su estrategia de innovación.
CIO Business Intelligence
JUNE 23, 2025
La calidad de los datos es fundamental para el éxito de cualquier iniciativa de TI, lo cual es especialmente cierto en el caso de los proyectos de IA. Si bien los datos de mala calidad siempre darán peores resultados, lo que está en juego es especialmente importante en el caso de la IA, donde unos datos deficientes pueden provocar graves pérdidas económicas, multas reglamentarias y daños a la reputación.
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.
CIO Business Intelligence
JUNE 23, 2025
가트너(Gartner)가 2025년 이후 주요 D&A(Data & Analytics) 예측을 발표했다. 이번 발표에 따르면 비즈니스 의사 결정에서 AI 에이전트에 의한 증강 또는 자동화, 경영진의 AI 활용 능력이 재무 성과 향상, 합성 데이터 관리의 중대한 실패는 AI 거버넌스 등을 위협할 전망이다. 주요 내용 6가지는 다음과 같다. 첫째, 2027년까지 비즈니스 의사 결정의 50%가 의사 결정을 돕는 AI 에이전트에 의해 증강(augmented)되거나 자동화(automated)될 전망이다. AI 에이전트가 다양하고 복잡한 데이터의 검색과 분석을 처리해 의사 결정 프로세스를 향상하는 것이다. 하지만 이는 효과적인 거버넌스 및 위험 관리와 활용되어야 한다.
CIO Business Intelligence
JUNE 23, 2025
아난드 는 마이크로소프트에서 약 15년, 메타에서 약 6년간 근무한 경력을 보유한 인물이다. CEO로서 그는 캐릭터AI의 장기 전략을 주도하고, 멀티모달 AI 기술을 기반으로 사용자 커뮤니티를 확장하고, 차세대 엔터테인먼트의 방향을 모색해 나갈 예정이다. 캐릭터AI는 2022년 구글 출신 연구원들이 개발한 서비스로, 한때 챗GPT에 이어 가장 주목받는 AI 서비스 로 부상했다. 주요 사용자층은 10~20대로 알려져 있으며 , 게임처럼 가상 인물이나 이야기 속 캐릭터와 대화하며 상호작용하는 방식으로 AI 캐릭터를 생성하는 서비스를 제공하는 것이 특징이다. 캐릭터AI 공식 홈페이지에 따르면 매달 수백만 명의 사용자가 이 플랫폼을 방문하고 있으며, 지금까지 생성된 AI 캐릭터 수는 1,000만 개를 넘어섰다.
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