machine learning in spreadsheet applications
13 stories filed under machine learning in spreadsheet applications on Beyond Market Intelligence. The newest of them: “GPT-6 Astra arrives, marking a new chapter in how we work with data”, “Keep data local while AI agents work across cloud and device”, and “Microsoft's new AI models deliver enterprise savings without sacrificing performance”. The rumors were true, all of them, and then some. Your files stay put. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work… The list below is every machine learning in spreadsheet applications story on Beyond Market Intelligence, newest first.
GPT-6 Astra arrives, marking a new chapter in how we work with data
The rumors were true, all of them, and then some. OpenAI has released GPT-6 Astra, a frontier model the company believes marks the onset of the AGI era. For enterprises, the immediate shift is concrete: Astra operates computers the way people do, navigating browsers, spreadsheets, and applications to execute multistep workflows. This moves us beyond prompting AI to supervising it, delegating complex work while humans direct at a higher level. Explore what delegation means when agents handle the work between your objectives and the outcome.
Keep data local while AI agents work across cloud and device
Your files stay put. That's the quiet power of Perplexity's hybrid compute launch for its agentic platform, Computer. Rather than forcing a choice between cloud intelligence and local privacy, this system lets a single agent split the difference, routing sensitive subtasks to open-weight models on your Mac while heavier reasoning stays in the cloud. It's a smarter gate, not a higher wall. For professionals juggling privileged files, that's a meaningful step toward practical, trustworthy automation.
Microsoft's new AI models deliver enterprise savings without sacrificing performance
Microsoft is done treating its own AI as a side project. With MAI-Image-2.5-Pro and MAI-Voice-2-Flash now in public preview, the company is making its boldest case yet that homegrown models can handle the heavy lifting, posting GPU cost cuts of up to 89% across products like Bing and Dynamics 365. This isn't just about saving money. It's a deliberate shift in strategy, one that quietly reframes OpenAI as an option rather than a necessity. The real test will be whether the execution matches the ambition.
Claude Cowork expands beyond coding to empower every knowledge worker.
Anthropic is expanding the reach of Claude Cowork with a mobile and web launch, driven by compelling usage data demonstrating its broad appeal. Contrary to the narrative surrounding developer-centric AI, data reveals that the majority of Cowork users leverage the tool for "the work around the work"—business processes, content creation, and information assembly—rather than coding. This strategic shift positions Anthropic to capture a significantly larger market of knowledge workers, empowering them to transform their productivity across devices, even offline.
Build AI projects that prove you know where your system fails
Navigating the landscape of AI projects for 2026 requires a focused approach. The most compelling projects aren't about sheer complexity; they're about demonstrating a clear understanding of system limitations and articulating those failures confidently to potential employers. Forget wading through 50 ideas – this post delivers the top 10 AI projects poised to impress. Discover how to build demonstrable skills and showcase your expertise. For deeper insights into user interface design within AI, explore "Matching AI Modality To User Intent."
Your Practical Roadmap to Becoming a Data Scientist by 2027
## Data Scientist Roadmap for Beginners (2026–2027) Navigating the path to becoming a data scientist can feel overwhelming. This roadmap clarifies exactly what to learn, in what order, and how long it realistically takes to achieve job readiness by 2027 – whether you’re starting from zero or transitioning from data analysis, engineering, or research. We cut through the noise surrounding Python vs. R, degree requirements, and the rise of Generative AI to provide a focused, actionable plan.
Find the Data Science Course That Fits Your Path, Not Just Your Budget
Choosing the right data science course can genuinely transform your career, but the sheer number of options can be overwhelming. We’ve analyzed dozens to identify the 10 Best Data Science Courses for Beginners in 2026, ranked by practical skill development and accessibility. Whether you’re seeking a free option or a more comprehensive program, this guide clarifies which paths align with your goals. Explore our findings and empower your data journey—and for a broader perspective on data agency, consider our recent discussion with Martin Kleppmann.
Explore the top data analytics courses shaping smarter skills in 2026
Finding the best data analytics course in 2026 requires navigating a diverse landscape of tools, roles, and learning objectives. This guide reviews ten leading courses, ranging from foundational certificates to immersive, project-based programs and even free official training for platforms like Tableau and Power BI. We’ve prioritized options that empower users to transform their data skills and achieve tangible results. For a broader perspective on incorporating user insights, explore our related article, "The Benefits Of Cognitive Inclusion In UX Research."
Meet Gemini Spark, your always-on AI agent for email and tasks
Google has unveiled Gemini Spark, a groundbreaking personal AI agent designed to enhance productivity by autonomously managing tasks like drafting emails and monitoring inboxes, even when your devices are inactive. Announced at Google I/O 2026, this innovative tool marks a significant shift from traditional assistants to agents capable of executing complex workflows with minimal human intervention. As competition heats up among tech giants, Google aims to redefine user interaction with AI, emphasizing seamless automation.
From raw data to interactive dashboard: build your first Power BI report
Welcome to our Power BI tutorial, where you’ll transform a raw data file into a polished, published report. This guide will walk you through the entire process, from initial data queries to deploying your finished dashboard in the cloud. You’ll learn to create an interactive dashboard that not only visualizes your data effectively but also includes essential features like alerts and automatic refresh settings. By the end, you’ll have the skills to empower your data storytelling and enhance your decision-making. Let's dive in and explore!
OpenAI Workspace Agents put AI to work inside the tools you already use.
OpenAI has unveiled Workspace Agents, a significant advancement in AI-native tools for enterprises, enabling seamless integration with popular applications like Slack and Salesforce. These agents allow users to design and implement tailored workflows that streamline tasks across various platforms, promoting efficiency and collaboration. By shifting from traditional, session-based interactions to persistent, context-aware agents powered by Codex, OpenAI addresses longstanding challenges in workplace productivity. This innovative approach positions AI as a shared organizational resource, transforming how teams manage data and execute tasks, ultimately enhancing overall performance.
From Raw Numbers to Real Decisions: Your Path to Data Analysis
Navigating the path to becoming a data analyst can feel overwhelming, especially with advice ranging from mastering Excel to pursuing a master’s degree. The reality is more nuanced. Data analysts are crucial in transforming raw data into actionable insights, answering pivotal questions like why sales fluctuate or how customer behavior changes. This step-by-step guide for 2026 will clarify the essential skills, educational requirements, and practical experiences you need to thrive in this dynamic field.
Start with the tools that actually matter for entry-level analysts
Navigating the world of data analysis tools can feel overwhelming, especially with countless lists suggesting 15, 20, or even more options. For entry-level analysts, this plethora of choices often complicates rather than clarifies where to begin. In this guide, we’ll distill the essentials, highlighting the top 10 data analysis tools that empower you to tackle real-world challenges effectively. Discover how these tools can streamline your workflow and enhance your insights, setting you on a path to success in your data analysis career.