interactive charts
interactive charts on Beyond Market Intelligence: a running collection of 38 stories we have gathered and hand-picked because they are worth your time. Every post here touches on interactive charts 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 interactive charts, 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.
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."
Meituan open sources LongCat-2.0, the 1.6T, near-frontier agentic coding model that's been leading OpenRouter — trained entirely on Chinese chips
Meituan has unveiled LongCat-2.0, a 1.6-trillion-parameter Mixture-of-Experts (MoE) agentic coding model now openly available on GitHub, Hugging Face, and its platform. This near-frontier model, previously powering the anonymous "Owl Alpha" which topped OpenRouter charts, disrupts enterprise AI dominance with a permissive MIT license and a unique 1-million-token context window. Notably, LongCat-2.0 was trained entirely on Chinese-manufactured chips, signaling a potential shift in AI infrastructure. Explore its competitive pricing structure and discover how it’s reshaping autonomous software engineering, as detailed in related
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.
No Claude Fable 5? No problem: Sakana achieves frontier performance with new Fugu multi-model, auto synthesis system
Following Anthropic’s recent move to restrict access to its powerful Claude Fable 5 and Claude Mythos 5 models, Sakana AI has launched Fugu, a novel multi-model orchestration system designed to deliver frontier-level AI performance via a familiar OpenAI-compatible API. This innovative system dynamically routes queries across a pool of specialized AI agents, providing resilience against vendor lock-in and geopolitical export controls.
Anthropic's Claude Code Artifacts update brings live, shared dashboards and interactive workspaces to enterprises
Anthropic’s Claude Code now delivers live, shared dashboards and interactive workspaces for enterprises through its new Artifacts feature. Transforming a Claude Code session into a custom, shareable HTML webpage, Artifacts allow users to connect live code and data sources, creating dynamic visualizations for teams. This eliminates the need for manual status updates and facilitates clearer communication between engineers and stakeholders. As highlighted by Claude Code lead Boris Cherny, Artifacts are "a game changer" for collaborative workflows, and closely mirror a recent feature release from OpenAI.
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."
Google says Gemini 3.5 Flash can slash enterprise AI costs by more than $1 billion a year
At the recent I/O developer conference, Google unveiled Gemini 3.5 Flash, a groundbreaking AI model that promises to significantly reduce enterprise AI costs by over $1 billion annually. This innovative model defies the conventional belief that higher quality must come at a greater expense and slower performance. By optimizing speed and efficiency, 3.5 Flash empowers organizations to manage their AI workloads more effectively. For a comprehensive look at AI advancements, check out our article on "Apple announces Apple Intelligence powered accessibility feature updates."
AI IQ is here: a new site scores frontier AI models on the human IQ scale. The results are already dividing tech.
Introducing AI IQ, a groundbreaking platform that assigns estimated IQ scores to over 50 leading AI language models, using the familiar yardstick of human intelligence. This innovative approach offers interactive visualizations at aiiq.org, making the complexity of AI advancements more accessible. While praised for its clarity by technologists, it also faces criticism for oversimplifying AI capabilities into a single number. For a deeper dive into the future of AI and its evolving landscape, explore our related article on Anthropic’s vision for proactive AI.
Perceptron Mk1 shocks with highly performant video analysis AI model 80-90% cheaper than Anthropic, OpenAI & Google
Perceptron Inc. has launched its flagship video analysis AI model, Mk1, offering advanced capabilities at a fraction of the cost of competitors like Anthropic and OpenAI. Priced at just $0.15 per million input tokens, Mk1 empowers enterprises to harness real-time video insights for security, marketing, and research applications. With a focus on understanding object dynamics and physical interactions, this model sets a new standard for accessible, efficient AI solutions. Explore how Perceptron Mk1 can transform your workflows and elevate your data management strategies.
Thinking Machines shows off preview of near-realtime AI voice and video conversation with new 'interaction models'
Thinking Machines is pushing the boundaries of AI interaction with its new 'interaction models,' which promise to revolutionize how we engage with technology. Unlike traditional turn-based chat, these models enable near-real-time, simultaneous processing of voice and video inputs, allowing for a fluid conversational experience. By integrating dialogue management with background reasoning, the system significantly reduces latency and enhances interaction quality. This innovation could transform enterprise workflows, offering capabilities like proactive safety monitoring and responsive customer service, ultimately making AI a more intuitive collaborator.
Power BI Tutorial: Create Your First Dashboard
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!
![Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]](https://preview.redd.it/evw6ah88kczg1.png?width=140&height=80&auto=webp&s=b00e0ee1e002421a3e4db9a4c43354a9606d4f54)
Charting the AI Perception Gap: Across 71 scenarios, AI experts (N=119) and the public (N=1100) have differing views on the risks, benefits, and value of AI. More importantly, AI experts discount the influence of risks stronger than the public does when forming their value judgments [R]
Artificial intelligence (AI) is transforming society, yet significant gaps exist between how AI experts and the public perceive its risks, benefits, and overall value. This study evaluates responses from 1,110 individuals and 119 AI experts across 71 scenarios, revealing that experts often downplay risks while emphasizing benefits more than the public does. These divergent views highlight crucial areas for communication and policy that may influence trust and governance in AI.
Designing Stable Interfaces For Streaming Content
Designing stable interfaces for streaming content may seem straightforward, but the reality is far more complex. Effective streaming UIs require careful consideration of various factors, including layout shifts, motion preferences, and appropriate markup. Designers must anticipate potential interruptions in the stream and ensure users can navigate seamlessly through the interface, even as it evolves. Additionally, the implementation of ARIA attributes is crucial for accessibility. By addressing these challenges, designers can create a more engaging and user-friendly experience that enhances content consumption.
Alibaba's Metis agent cuts redundant AI tool calls from 98% to 2% — and gets more accurate doing it
Researchers at Alibaba have tackled a significant challenge in AI agent development by introducing Hierarchical Decoupled Policy Optimization (HDPO). This innovative reinforcement learning framework trains agents to intelligently choose between using external tools and relying on their internal knowledge. The result is Metis, a multimodal AI model that dramatically reduces redundant tool calls from 98% to just 2%, while achieving state-of-the-art reasoning accuracy. By enhancing decision-making capabilities, Metis exemplifies a shift towards more efficient and effective AI systems, prioritizing accuracy without unnecessary tool invocation.
Designing Stable Interfaces For Streaming Content
Designing stable interfaces for streaming content may seem straightforward, yet it encompasses a range of complexities that require careful consideration. From handling layout shifts and accommodating motion preferences to ensuring proper markup and managing various UI states, the nuances are critical for user experience. Key questions arise: How should the interface react during stream interruptions? Can users navigate seamlessly with a keyboard as the UI evolves? Additionally, understanding the necessary ARIA attributes is vital for accessibility.
American AI startup Poolside launches free, high-performing open model Laguna XS.2 for local agentic coding
American AI startup Poolside has made waves by launching Laguna XS.2, a free, high-performing open model optimized for local agentic coding. Unlike proprietary giants, Poolside’s new offering emphasizes affordability and accessibility, allowing developers to run the 33-billion parameter model on personal hardware without an internet connection. This innovative release, alongside the Laguna M.1 model, positions Poolside as a key player in the open AI landscape, inviting the community to experiment and build on cutting-edge technology designed for real-world applications.
Monitoring LLM behavior: Drift, retries, and refusal patterns
In the realm of enterprise AI, monitoring large language model (LLM) behavior is critical to ensure reliability and compliance. Unlike traditional software, which operates predictably, generative AI presents unique challenges due to its stochastic nature. This guide introduces the AI Evaluation Stack, a structured framework for assessing model performance through deterministic and model-based assertions. By implementing robust evaluation pipelines, engineers can effectively identify drifts, retries, and refusal patterns, ultimately transforming the development process and enhancing user experiences.
OpenAI unveils Workspace Agents, a successor to custom GPTs for enterprises that can plug directly into Slack, Salesforce and more
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.
Google’s new Deep Research and Deep Research Max agents can search the web and your private data
On Monday, Google unveiled its most significant upgrade to autonomous research agents with the launch of Deep Research and Deep Research Max. These new agents seamlessly integrate open web data with proprietary enterprise information through a single API call, enabling the generation of native charts and infographics within research reports. Built on the advanced Gemini 3.
Excel Dashboard - Interactive
Creating an interactive Excel dashboard for Senior Leadership can be a straightforward process, even with the limitations you've outlined. By leveraging your formatted table of IT self-service ticket data, you can design a visually engaging dashboard that includes slicers for filtering by directorate, division, ticket category, and status. While traditional pivot tables can provide insights, consider using Excel’s built-in features like charts and conditional formatting to enhance interactivity.
We tested Anthropic’s redesigned Claude Code desktop app and 'Routines' — here's what enterprises should know
On April 14, 2026, Anthropic unveiled a redesigned Claude Code desktop app and the innovative "Routines" feature, marking a pivotal shift in how enterprises approach AI-driven development. This transition from AI as a simple chatbot to a robust workforce reflects a new design philosophy aimed at enhancing productivity. The updated app, complete with a central "Mission Control" sidebar, empowers developers to manage multiple tasks seamlessly.
What kind of table do I need to set up to create this kind of chart?
To create the chart you're envisioning, you'll need a straightforward table structured with eight rows of data. Each row should start at zero income, followed by two plateau income values, and conclude with a phaseout leading to a maximum income eligibility. This setup allows for a clear visual representation of income transitions. For added clarity, consider referencing interactive elements from the Tax Policy Center for detailed insights.
A boxing sim I made in Excel - what I learned
I recently embarked on a personal project to create a boxing simulation in Excel, and I’m excited to share my journey. After two months of dedicated evenings, I have developed a working game engine that combines VBA with advanced Excel functions like dynamic arrays and INDEX/MATCH. While I’ve faced challenges, including burnout and design choices, the process has been incredibly rewarding. This project has deepened my understanding of Excel’s capabilities and highlighted the transformative potential of AI in streamlining my coding efforts.
When product managers ship code: AI just broke the software org chart
Last week marked a pivotal shift in our software development approach when a product manager built and shipped a feature in just one day, bypassing traditional processes. Our designer similarly addressed a UI issue directly, demonstrating how the cost of implementation has plummeted with AI integration. As engineering capacity is no longer the bottleneck, decision-making velocity has become critical.