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Analyse Data for Free Using Microsoft’s Latest AI Tool: Data Formulator

Analytics Vidhya

In todays data-driven world, every researcher and analyst requires the ability to yield prompt information from raw data and present it in visual form. Thats exactly what Microsofts new AI tool, Data Formulator, can help you with. It simplifies data visualization by presenting the data as interesting charts and graphs, especially for those without much […] The post Analyse Data for Free Using Microsoft’s Latest AI Tool: Data Formulator 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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One truth, one future: data and government transformation

Anmut

The challenge of disconnected data As government organisations strive to modernise public services, through shared platforms, citizen-first digital experiences, and cross-agency collaboration, many are discovering a hard truth: without unified, trustworthy data, transformation efforts stall. You may have experienced it. A digital service roll-out delayed because departments couldnt agree on which dataset to use.

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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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Salesforce to buy Informatica in $8 billion deal

CIO Business Intelligence

Salesforce ( NYSE:CRM )has agreed to buy Informatica ( Nasdaq:INFA ) in an $8 billion deal as a way to quickly access far more data for its AI efforts, it said Tuesday. Steve Fisher, President and CTO of Salesforce, made the argument for how this acquisition helps customers of both companies: Truly autonomous, trustworthy AI agents need the most comprehensive understanding of their data.

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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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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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Claude 4 vs GPT-4o vs Gemini 2.5 Pro: Which AI Codes Best in 2025?

Analytics Vidhya

In 2025, developers are no longer asking how to use AI tools for coding, theyre asking which is the best AI for code generation. With access to so many top-performing models like Anthropics Claude 4, OpenAIs GPT-4o, and Googles Gemini 2.5 Pro, theres tight competition in the AI race, and a lot of confusion in […] The post Claude 4 vs GPT-4o vs Gemini 2.5 Pro: Which AI Codes Best in 2025?

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SAP teams up with Alibaba to host Cloud ERP workloads in China

CIO Business Intelligence

SAP has a big new customer in China that, it hopes, will also help it do business there. Alibaba Group, the Chinese e-commerce giant and cloud computing infrastructure provider, is adopting SAPs Cloud ERP Private for its own enterprise infrastructure, and the companies plan to jointly sell their services. Together, SAP and Alibaba will help enterprises implement SAP Integrated Business Planning and deploy SAP Cloud ERP and SAP Cloud ERP Private suites on Alibabas cloud infrastructure, according

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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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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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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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How writing makes you a stronger leader

CIO Business Intelligence

The underrated edge of high performers: Writing as a discipline Ive been fortunate to work alongside some of the most capable thinkers, analysts and operators from astrophysics and academia to intelligence teams in national security and product teams in cybersecurity startups. Across these worlds, one lesson has stood out again and again. Its not always the most charismatic or technically brilliant people who succeed.

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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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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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Understanding Base64

Analytics Vidhya

Base64 is a binary-to-text encoding methodology that helps represent binary data in ASCII string format. Its often used to encode data for transmission over media that are mostly text, like emails, JSON-based APIs, etc., so that binary data like images and files don’t get corrupted. The term Base64 comes from the fact that it uses […] The post Understanding Base64 appeared first on Analytics Vidhya.

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Are CIOs buckling under the weight of expectation to deliver business value?

CIO Business Intelligence

Modern CIOs are expected to contribute to areas that stretch far beyond the confines of the traditional IT organization. The board might have previously looked to other executives for the lead on strategy, value, and commercial growth, but modern CIOs must step up and take responsibility for areas once assumed by other business leaders. In fact, Gartners 2024 CIO Agenda survey highlights how 80% of CIOs have expanded their role , with 18% leading non-IT functions.

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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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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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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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DeepSeek R1-0528: What’s New and Why It Matters

Analytics Vidhya

DeepSeeks most recent update, R1-0528, may be called a “minor trial upgrade,” but it makes major leaps. With considerable advancements in reasoning, code generation, and dependability, R1-0528 places DeepSeek as an open-source contender to Gemini 2.5 Pro. It even approaches OpenAIs o3 and o4-mini in terms of code benchmarks. In this blog, well explore the […] The post DeepSeek R1-0528: Whats New and Why It Matters appeared first on Analytics Vidhya.

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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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What ROI? AI misfires spur CEOs to rethink adoption

CIO Business Intelligence

Nearly three years after the release of ChatGPT kicked off a new revolution, consistent AI ROI remains elusive. Just 25% of AI initiatives in recent years have lived up to ROI expectations, according to CEOs surveyed by the IBM Institute for Business Value. Meanwhile, organizations have achieved enterprise-wide rollouts with only 16% of AI projects.

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Why & How to Containerize Your Existing Python Apps

KDnuggets

Containerize your Python apps to eliminate environment issues and simplify deployment. This guide shows you why it helps and how to get started with Docker.

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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.