Trending Articles

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8 Things to Keep in Mind while Building AI Agents

Analytics Vidhya

Are you fascinated by the evolving world of AI agents? Today, we can see AI agents almost everywhere, making our lives easier. Almost every field benefits from it, whether it is your last-minute ticket booking or your coding companion. AI agents have effectively tapped into every market. Everyone wants to build them to optimize their […] The post 8 Things to Keep in Mind while Building AI Agents appeared first on Analytics Vidhya.

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Los desafíos de la era de la ‘IA en todas partes’, a fondo en Data & AI Summit 2025

CIO Business Intelligence

La IA y los datos se han convertido en palancas estratgicas esenciales para la transformacin empresarial. Sin embargo, solo un 11,3% de las empresas de ms de 10 empleados usan la IA, y aunque su grado de penetracin es del 44% en grandes empresas, hay otro aspecto que preocupa. Segn datos del CIS (Centro de Investigaciones Sociolgicas), el 75,7% de la poblacin tiene algn tipo de incertidumbre relacionada con el uso de esta tecnologa.

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Navigating the AI Ecosystem: A Developer’s Guide to Embracing Transformation

Data Virtualization

Reading Time: 2 minutes The AI ecosystem is rapidly evolving, driven by breakthroughs in machine learning, deep learning, natural language processing (NLP), and computer vision. Fueling this evolution, major tech companies, research institutions, and open-source communities are democratizing access to powerful new AI tools. The post Navigating the AI Ecosystem: A Developer’s Guide to Embracing Transformation appeared first on Data Management Blog - Data Integration and Modern Data Manageme

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The Silent Revolution in AI and Data Science: Why Yesterday’s Playbooks Are Failing Tomorrow’s Enterprises

Jen Stirrup

As a result of the AI hype, expectations do not map delivery. The increasing rate of AI project failures is easy to blame the technology, but this failure can be due to methodology gaps, rather than technical shortcomings. As in so many cases, there is the need for methodologies to facilitate the business-technical divide. In this post, we will look at differences between CRISP-DM, TDSP, IBM’s ASUM-DM, and OSEMN.

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Mastering Apache Airflow® 3.0: What’s New (and What’s Next) for Data Orchestration

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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AI First Puts Humans First

O'Reilly on Data

While I prefer AI native to describe the product development approach centered on AI that were trying to encourage at OReilly, Ive sometimes used the term AI first in my communications with OReilly staff. And so I was alarmed and dismayed to learn that in the press, that term has now come to mean using AI to replace people. Many Silicon Valley investors and entrepreneurs even seem to view putting people out of work as a massive opportunity.

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MCP is enabling agentic AI, but how secure is it?

CIO Business Intelligence

MCP is becoming the plug-and-play standard for agentic AI apps to pull in data in real time from multiple sources. The Pulse MCP server directory currently lists more than 4,300 active MCP servers allowing LLMs to connect with data feeds ranging from Spotify and YouTube, to Salesforce and GitHub. The momentum behind the protocol will likely accelerate adoption as developers coalesce around a common standard, and alternatives struggle to gain traction.

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How to Write Efficient Python Code Even If You’re a Beginner

KDnuggets

You dont need to be a Python pro to write fast, clean code. Just a few smart coding habits can go a long way.

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The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams

DataKitchen

The $100 Billion Secret: Why Leading Pharma Companies Outsource Their Commercial Data Teams Commercial pharmaceuticals, where billion-dollar decisions hinge on data-driven insights, success isn’t just about having the right drugit’s about having the right data, delivered the right way, at the right time. Yet, too many pharmaceutical companies find themselves trapped in a frustrating cycle: brilliant analysts wait weeks for data extracts, IT teams are overwhelmed by competing prioriti

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MCP: What It Is and Why It Matters—Part 2

O'Reilly on Data

This is the second of four parts in this series. Part 1 can be found here. 4. The architecture of MCP: Clients, Protocol, Servers, and Services How does MCP actually work under the hood? At its core, MCP follows a clientserver architecture , with a twist tailored for AI-to-software communication. Lets break down the roles: MCP servers These are lightweight adapters that run alongside a specific application or service.

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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 7 AWS Services for Machine Learning

Analytics Vidhya

Are you looking to build scalable and effective machine learning solutions? AWS offers a comprehensive suite of services designed to simplify every step of the ML lifecycle, from data collection to model monitoring. With purpose-built tools, AWS has positioned itself as a leader in the field, helping companies streamline their ML processes. In this article, […] The post Top 7 AWS Services for Machine Learning appeared first on Analytics Vidhya.

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La Comunidad de Madrid digitaliza la Atención Primaria con un sistema de alertas inteligente

CIO Business Intelligence

La Comunidad de Madrid activar un nuevo sistema de alertas inteligentes en la Historia Clnica Electrnica (HCE) para que los profesionales sanitarios reciban avisos automticos ante situaciones relevantes para la salud del paciente , como puedan ser reacciones adversas a medicamentos, diagnsticos graves, riesgos sociales o valores alterados en pruebas mdicas.

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How to Market Yourself as a Data Professional on LinkedIn

KDnuggets

Want recruiters and collaborators to find you? Fix your LinkedIn, even if you hate self-promotion.

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Unify streaming and analytical data with Amazon Data Firehose and Amazon SageMaker Lakehouse

AWS Big Data

Organizations are increasingly required to derive real-time insights from their data while maintaining the ability to perform analytics. This dual requirement presents a significant challenge: how to effectively bridge the gap between streaming data and analytical workloads without creating complex, hard-to-maintain data pipelines. In this post, we demonstrate how to simplify this process using Amazon Data Firehose (Firehose) to deliver streaming data directly to Apache Iceberg tables in Amazon

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Automation, Evolved: Your New Playbook for Smarter Knowledge Work

Speaker: Frank Taliano

Documents are the backbone of enterprise operations, but they are also a common source of inefficiency. From buried insights to manual handoffs, document-based workflows can quietly stall decision-making and drain resources. For large, complex organizations, legacy systems and siloed processes create friction that AI is uniquely positioned to resolve.

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Generative AI in the Real World: Danielle Belgrave on Generative AI in Pharma and Medicine

O'Reilly on Data

Join Danielle Belgrave and Ben Lorica for a discussion of AI in healthcare. Danielle is VP of AI and Machine Learning at GSK (formerly GlaxoSmithKline). They discuss using AI and machine learning to get better diagnoses that reflect the differences between patients. Learn about the challenges of working with health dataa field where there is both too much data and too little, and where hallucinations have serious consequences.And if youre excited about healthcare, find out how AI developers can

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How to Connect Your Zerodha Account to Claude Using Kite MCP

Analytics Vidhya

Have you ever wished you could ask an AI Assistant to analyze your portfolio and tell you how your stocks are doing today? With the latest release of Kite MCP (Model Context Protocol) from Zerodha, that future is here. The MCP lets you connect your Zerodha account with Claude and ask it to work for […] The post How to Connect Your Zerodha Account to Claude Using Kite MCP appeared first on Analytics Vidhya.

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CIOs get serious about closing the skills gap — mainly from within

CIO Business Intelligence

For CIOs, IT staffing is a little like going to the dentist: You know itll be painful, but youll feel better once you deal with it. Today, filling the skills gap has become a top priority as leaders grapple with the pace of technological change. The most strategic CIOs arent just plugging holes but also redefining how their organization is building future-ready, resilient teams.

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32 MCP Servers You Need To Check Out Now

KDnuggets

Explore list of top MCP servers that enable seamless integration of LLMs with tools like databases, APIs, communication platforms, and more, helping you automate workflows and enhance AI applications.

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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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Use Data Quality and Data Insight Tools to Avoid ‘Bad Data’

Smarten

Data Quality and Data Insight Tools Improve Outcomes When a business sets out to initiate data democratization and improve data literacy, it must choose the right approach to business intelligence and select an augmented analytics product that is self-serve, intuitive, easy to implement and easy for business users to embrace. Transitioning business users into the role of a Citizen Data Scientist can be challenging.

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How Airties achieved scalability and cost-efficiency by moving from Kafka to Amazon Kinesis Data Streams

AWS Big Data

This post was cowritten with Steven Aerts and Reza Radmehr from Airties. Airties is a wireless networking company that provides AI-driven solutions for enhancing home connectivity. Founded in 2004, Airties specializes in developing software and hardware for wireless home networking, including Wi-Fi mesh systems, extenders, and routers. The flagship software as a service (SaaS) product, Airties Home, is an AI-driven platform designed to automate customer experience management for home connectivit

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12 Best GitHub Repositories to Master LLMs

Analytics Vidhya

In todays world, whether you are a working professional, a student, or in the domain of research. If you didnt know about Large Language Models (LLMs) or arent exploring LLM GitHub repositories, then you are already falling behind in this AI revolution. Chatbots like ChatGPT, Claude, Gemini, and others use LLMs as their backbone for […] The post 12 Best GitHub Repositories to Master LLMs appeared first on Analytics Vidhya.

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Doctoralia optimiza la gestión sanitaria con Noa, su asistente impulsado por IA

CIO Business Intelligence

Doctoralia, la plataforma tecnolgica global en gestin de pacientes, clnicas y profesionales de la salud,ha integrado la inteligencia artificial en su operativa. Apoyndose sobre la tecnologa de Microsoft Azure, la organizacin ha desarrollado Noa, un asistente avanzado que optimiza la programacin de citas y la documentacin clnica. Esta solucin ha permitido a la compaa reducir significativamente la carga administrativa de los profesionales de la salud , lo que les ha facilitado dedicar ms tiempo a

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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.

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10 YouTube Channels Every Aspiring Data Scientist Should Follow in 2025

KDnuggets

Want to be a data scientist in 2025? These 10 YouTube channels teach important skills, from Python basics to advanced machine learning.

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Unified AI Ops: How to Scale AgentOps, MLOps, DataOps, & LLMOps

Dataiku

Enterprise AI teams face a crisis that threatens their strategic initiatives. Teams must manage MLOps for machine learning (ML) models, LLMOps for large language models (LLMs), DataOps for reliable pipelines, and emerging AgentOps for autonomous systems. Each domain demands specialized governance and monitoring, which creates an increasingly fragmented operational landscape.

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Unlock self-serve streaming SQL with Amazon Managed Service for Apache Flink

AWS Big Data

This post is co-written with Gal Krispel from Riskified. Riskified is an ecommerce fraud prevention and risk management platform that helps businesses optimize online transactions by distinguishing legitimate customers from fraudulent ones. Using artificial intelligence and machine learning (AI/ML), Riskified analyzes real-time transaction data to detect and prevent fraud while maximizing transaction approval rates.

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Unsettling AI Behavior: When Advanced LLMs Break the Rules and Resist Control

Analytics Vidhya

Are you someone who loves working with advanced LLMs? Do you rely on OpenAIs o3, Codex CLI, or o4-mini for coding, writing, or creative tasks? These models, and others like Claude and Gemini, have amazed the world with their intelligence, speed, and versatility. But what happens when that intelligence turns against the instructions it’s given?

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Zero Trust Mandate: The Realities, Requirements and Roadmap

The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.

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Avery Dennison adopta un enfoque centrado en la cultura para la transformación de la IA

CIO Business Intelligence

El enfoque de Avery Dennison , que da prioridad a la cultura en la adopcin de la inteligencia artificial (IA), ha dado sus frutos en trminos de productividad y beneficios econmicos para el fabricante mundial de soluciones de etiquetado y RFID. El programa de la empresa para impulsar el uso de la IA en toda la organizacin, haciendo hincapi en los seres humanos en el circuito, cont con la participacin de ms de 250 ejecutivos y 1.000 empleados en ms de 20 proyectos piloto de IA en 2024.

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Training Models with XGBoost in Your Browser

KDnuggets

Build and fine-tune XGBoost models entirely online no installations, just data, tuning, and results inside your browser.

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BARC Perspective: Salesforce To Acquire Informatica

BI-Survey

What happened? Salesforce has signed a definitive agreement to acquire Informatica, an enterprise AI-powered cloud data management company, for approximately $8 billion in cash. The deal (the complete transaction) is expected to be closed around Q1 2026. This marks Salesforce’s fourth major acquisition following its $6.5 billion purchase of Mulesoft in 2018, the $15.7 billion purchase of Tableau in 2019 and its acquisition of Slack for $27.7 billion in 2021.