AI-powered spreadsheet
AI-powered spreadsheet on Beyond Market Intelligence: a running collection of 75 stories we have gathered and hand-picked because they are worth your time. Every post here touches on ai-powered spreadsheet in some way — the news, the analysis, the deep dives, and the occasional surprise find. Acme AI is the next-generation, AI-powered spreadsheet platform built to replace Excel and redefine how analysts, data scientists, and enterprise teams work with data. New stories are added to this page as we find them, so check back if you want to keep up with what is happening around ai-powered spreadsheet, or subscribe to the RSS feed to get them as soon as they are published. Browse the collection below, or head back to the homepage to see everything Beyond Market Intelligence is covering right now.
'Welcome to the AGI era': OpenAI launches GPT-6 Astra
OpenAI has ushered in a new era with the release of GPT-6 Astra, a model poised to redefine how we interact with technology and potentially mark the onset of artificial general intelligence (AGI). Astra moves beyond traditional chatbots, enabling users to direct AI through voice commands to navigate software, automate workflows, and produce finished documents – effectively eliminating the need for constant mouse clicks or keyboard input.
Microsoft AI’s MAI-Transcribe-2 undercuts OpenAI, Google and ElevenLabs on price and speed
Microsoft AI has significantly disrupted the speech recognition landscape with the release of MAI-Transcribe-2, undercutting OpenAI, Google, and ElevenLabs on both price and speed. Priced at just 10 cents per hour, this represents a remarkable 72% reduction from the initial model's cost. Offering features like speaker diarization, word-level timestamps, and code switching—typically premium capabilities—for this price, MAI-Transcribe-2 positions itself as a compelling solution for enterprises processing substantial audio volumes. For those interested in exploring this evolving market, “Meta prices Muse Voice Transcribe at $0.
Your files stay put: Perplexity’s hybrid AI keeps confidential data off the cloud
Perplexity today introduces hybrid AI compute, a transformative system designed to keep your confidential data secure. Computer, Perplexity’s agentic platform, now intelligently splits tasks between cloud-based and locally-run AI models on Apple silicon Macs, ensuring sensitive information never leaves your device. This innovative approach combines the power of frontier models with the privacy of on-device processing, a critical advancement for industries handling sensitive data. Explore this new capability today and discover how Perplexity is redefining data security and productivity.
Serval’s super agent Catalyst creates roving background agents to identify and fix IT issues before they’re ticketed
Serval is making its AI agent, Catalyst, generally available Thursday, empowering teams to automate enterprise workflows with unprecedented ease. This "super agent" analyzes ticket history, SOPs, and instructions to draft workflows, skills, and dashboards – even proactively identifying and fixing IT issues before they reach a ticket queue. Unlike competitors, Catalyst operates as a single administrative layer, moving from opportunity discovery to deploying proactive agents.
I'm looking to pull text from schematics and put the into an excel spreadsheet to create a wiring checklist.
Extracting cable IDs from wiring schematics—a common challenge—can be streamlined for creating efficient wiring checklists. You’re already utilizing Kofax Power PDF, a solid starting point. However, refining your extraction process beyond the "Looks Like" feature is key. Focus on leveraging pattern recognition to isolate those specific 5-digit or "5-digit-C" identifiers. For further exploration of data visualization related to your extracted data, consider our article "Struggling with creating a stack? bar? chart," which addresses similar data arrangement challenges.
Writer says its new Palmyra X6 model cuts AI agent costs by 52% as token spending surges
Writer today unveiled Palmyra X6, a new AI agent model poised to significantly reduce costs for enterprise users. Paired with its rebuilt agent orchestration “harness,” Palmyra X6 delivers an average of 52% lower operational costs, alongside a 48% speed improvement and 10% quality boost. Leveraging a post-trained version of GLM-5.2, Writer emphasizes control and cost transparency, offering governance tools and multi-model support—a strategy echoing the shift towards pragmatic AI adoption, as explored in "Why Capital One built its multi-agent AI platform around open-weight models."
Skan AI raises $63 million betting that watching how employees actually work is the missing layer of enterprise AI
Skan AI has secured $63 million in Series C funding, co-led by Cathay Innovation and Dell Technologies Capital, signaling a significant bet on understanding how employees *actually* work. The company's approach diverges from traditional enterprise AI, which often falters due to a disconnect between documented processes and real-world execution. Skan builds a "context graph of work" by observing employee activity across applications, ultimately aiming to automate workflows and unlock substantial productivity gains—a strategy that echoes the foundational role CRM played in customer data management.
Runway couldn't fix a bug in its AI video model, so it turned the bug into a feature
Runway ML recently demonstrated a valuable lesson for all AI developers: embracing limitations can unlock unexpected innovation. Initially struggling to eliminate a persistent bug causing AI-generated avatars to drift off-center, the company ingeniously transformed the issue into a user-friendly "Optimize for Image Quality" feature.
Kimi K3's full weights are here, but they're 'open' with a caveat: What enterprises should know
Moonshot AI has released the full weights for Kimi K3, its powerful new AI model, marking a significant step for open-weight AI. While broadly accessible, enterprises should carefully review the custom Kimi K3 usage license. Larger organizations operating a "Model as a Service" exceeding $20 million in revenue, or those with products impacting over 100 million users, face specific commercial obligations, including potential licensing agreements and prominent attribution.
Microsoft launches new in-house AI models it says cut costs up to 89% versus OpenAI
Microsoft has unveiled two new in-house AI models, MAI-Image-2.5-Pro and MAI-Voice-2-Flash, marking a significant shift towards self-sufficiency in AI capabilities. These models, now in public preview, demonstrate the potential for substantial cost reductions – up to 89% versus OpenAI – across key products like Bing, Excel, and Dynamics 365.
OpenAI introduces ChatGPT Work, a cloud-based AI agent that manages tasks across email, Slack and calendars
OpenAI introduces ChatGPT Work, a cloud-based AI agent poised to transform how professionals leverage AI. Embedded within the flagship chatbot, this new platform moves beyond simple Q&A, autonomously managing tasks across email, Slack, and calendars using the advanced GPT-5.6 model. ChatGPT Work streamlines workflows by generating documents, spreadsheets, and even websites, demonstrating OpenAI's commitment to democratizing agentic AI capabilities – a strategy highlighted by their recent confidential SEC filing.
Anthropic brings Claude Cowork to mobile and web as usage data shows most users aren’t coding
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.
This Week's /r/Excel Recap for the week of June 27 - July 03, 2026
This week’s /r/Excel recap, covering June 27 – July 3, 2026, highlights a community grappling with common data challenges. Top posts centered on efficient column comparisons and troubleshooting unexpected Excel behavior, demonstrating a clear need for accessible data management solutions. User discussions also revealed challenges with Power Query and report reproducibility. Notably, the top comment offered a concise `=UNIQUE` formula for data consolidation. For deeper insights into data separation, explore our article, "Seperating Data Into Two Different Cells."
Best AI Projects to Build in 2026 (Sequenced for Hiring)
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."
Matching AI Modality To User Intent: Designing The Right Interface
The rush to integrate AI often defaults to chat interfaces, overlooking a fundamental principle of user experience: matching modality to intent. Simply because Large Language Models thrive on dialogue doesn’t mean every AI capability should be presented conversationally. Great UX prioritizes the user, adapting the interface to their context and cognitive load. Explore how shifting beyond conversational tunnel vision unlocks more intuitive and effective data interactions—as discussed further in "Users Don’t Need More Tools: They Need Seamless Integrations."
Data Scientist Roadmap for Beginners (2026–2027)
## 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.
Adobe embeds agentic AI workflows across Creative Cloud, shifting from media generation to production orchestration
Adobe is redefining creative workflows with the public beta release of its embedded "creative agent," now available across Creative Cloud applications like Premiere Pro and Photoshop. Moving beyond simple media generation, this agent orchestrates complex production tasks—from batch file management to brand asset updates—by directly accessing software APIs. Powered by new "Elements" and "Projects" technologies for visual consistency and contextual memory, Adobe empowers creatives to delegate tedious tasks, maintaining full aesthetic control.
Should I use Excel Online or swap to WPS Spreadsheet desktop ?
Navigating spreadsheet choices as a Procurement Intern can be tricky. You’ve identified a common challenge: Excel Online’s limitations compared to the desktop version, particularly when utilizing Power Pivot and Power Query for robust dashboards. While WPS Spreadsheet offers an alternative, its unfamiliarity is a hurdle. Our recommendation? Prioritize requesting an Excel Desktop license from your IT department.
Best Data Analytics Courses 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."
Best Data Science Programs in 2026
In 2026, navigating data science education feels like sprinting through a maze of degrees, bootcamps, and online courses, each claiming the quickest route to a career. The market ranges from free YouTube tutorials to multi‑hundred‑thousand‑dollar master’s programs, yet many comparison lists flatten these options without clarifying which path best fits your goals. This guide ranks programs by curriculum depth, industry relevance, and return on investment, helping you choose a course that truly transforms your data skills and accelerates your career.
Mistral AI launches Vibe, expands into industrial AI and announces data center push to challenge OpenAI
At its inaugural conference, Mistral AI unveiled a bold expansion into industrial AI with the launch of Vibe, its rebranded enterprise assistant. This initiative aims to transform productivity in sectors like aerospace and automotive, signaling Mistral's commitment to becoming the go-to AI provider for companies seeking control over their data. Alongside a new inference data center near Paris, Mistral's comprehensive strategy emphasizes owning the entire tech stack to deliver tailored AI solutions.
How to add sequential numbers that are sortable
Are you looking to create unique identifiers in your spreadsheet that remain static even when sorting and filtering? This common challenge can be addressed with a few strategic approaches. Instead of relying on methods like =ROW or =SEQUENCE, consider automating this process to enhance your workflow. By implementing a solution that generates sequential numbers effectively, you can maintain the integrity of your data. For more insights on related topics, check out our article on "Help plz?
How can my array-formula be improved?
Are you looking to enhance your array formula for managing personal finances? In this exploration, we’ll delve into optimizing your spreadsheet setup, addressing challenges like the Excel character limit and complexities in your existing formula. Consider alternatives such as the MAP function or Power Query for more efficient data handling. Additionally, integrating Python within Excel could offer a transformative solution for future projects.
Google’s new AI agent can draft your emails, monitor your inbox and eventually spend your money
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.