generative AI for data analysis
generative AI for data analysis on Beyond Market Intelligence: a running collection of 207 stories we have gathered and hand-picked because they are worth your time. Every post here touches on generative ai for data analysis 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 generative ai for data analysis, 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.
Practical Interface Patterns For AI Transparency (Part 2)
In "Practical Interface Patterns For AI Transparency (Part 2)," we delve into why traditional loading patterns, such as spinners, can fall short in agentic AI experiences. By adopting interface patterns that transparently reveal the system’s processes, status, and decision-making, we can significantly enhance user trust and engagement. This article invites you to explore innovative approaches that prioritize transparency, ultimately empowering users in their interactions. For a deeper understanding of AI evaluation, check out our article, "Building an Evaluation Harness for Production AI Agents."
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.
Running Claude Code or Claude in Chrome? Here's the audit matrix for every blind spot your security stack misses
In light of recent findings from four security research teams, it’s essential to address the vulnerabilities associated with Anthropic’s Claude Code and Claude in Chrome. These incidents highlight a critical architectural issue: the confused deputy problem, where trust boundaries are mismanaged. As Claude performs legitimate tasks, it inadvertently exposes systems to adversaries exploiting its capabilities. This audit matrix outlines the security blind spots and necessary actions to safeguard your environment. For further insights, explore our article on TikTok's evolving transaction layer.
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!
Best Python Courses in 2026 — From Foundations to Career-Ready Skills
If you're exploring Python courses, you might feel overwhelmed by the sheer number of options available. With countless "best of" lists offering differing opinions, it's easy to fall into choice paralysis, which often prevents beginners from taking that crucial first step. This guide is designed to simplify your decision-making process by comparing nine standout Python courses in 2026.
5% GPU utilization: The $401 billion AI infrastructure problem enterprises can't keep ignoring
In the wake of the GPU scramble, enterprises now face a stark reality: while $401 billion is being spent on AI infrastructure, GPU utilization remains alarmingly low at just 5%. This underutilization stems from a procurement loop that traps idle resources, demanding a critical shift toward maximizing existing assets rather than simply acquiring more.
Market research is too slow for the AI era, so Brox built 60,000 identical 'digital twins' of real people you can survey instantly, repeatedly
In an era where rapid responses are crucial, traditional market research cycles of up to 12 weeks can hinder timely decision-making. Brox, a pioneering startup, introduces a groundbreaking solution: 60,000 digital twins of real individuals, enabling companies to survey diverse demographics instantly. By creating a "parallel universe" of behavioral replicas, Brox empowers organizations to conduct unlimited experiments in hours rather than months, offering deep insights into consumer preferences.
One command turns any open-source repo into an AI agent backdoor. OpenClaw proved no supply-chain scanner has a detection category for it
Researchers at the University of Hong Kong have unveiled CLI-Anything, a groundbreaking tool that transforms any open-source repository into an AI agent interface with a single command. While it enables seamless integration for tools like Claude Code and GitHub Copilot CLI, it also exposes critical vulnerabilities within the software supply chain. The lack of detection capabilities for malicious instructions embedded in AI skills signifies a structural gap in current security measures.
The RAG era is ending for agentic AI — a new compilation-stage knowledge layer is what comes next
The era of retrieval-augmented generation (RAG) is evolving, as agentic AI demands a more sophisticated approach to data management. Traditional vector databases are struggling to meet these needs, prompting a shift towards innovative solutions. Pinecone's new Nexus platform introduces a knowledge engine that compiles context before queries, streamlining agent interactions with structured knowledge artifacts. This change reduces inefficiencies and enhances task completion. As enterprises embrace these advancements, the focus will increasingly shift from mere retrieval speed to governed, reliable knowledge pipelines that drive meaningful outcomes.
Microsoft takes Agent 365 out of preview as shadow AI becomes an enterprise threat
Microsoft has officially launched Agent 365, its management platform for AI agents, signaling a critical shift in addressing the governance challenges posed by "shadow AI." This innovative tool allows enterprise IT and security teams to oversee and secure AI agents across various environments, including third-party cloud platforms and local devices. As organizations grapple with the risks of autonomous software operating without oversight, Agent 365 provides a centralized control plane to navigate this new landscape.
Question regarding Transformer's pipeline module [D]
If you're exploring effective question-answering solutions without the need for training data, the Transformers library offers several pre-trained models. However, it seems the pipeline you referenced has transitioned away from the "question-answering" feature, now focusing on tasks like document-question-answering and text classification. To address this, consider utilizing the "text-classification" or "table-question-answering" features if they align with your goals. Alternatively, explore other frameworks like Hugging Face's model hub for additional options that can handle text-based question answering effectively.
I bombed Google DS Research, so you dont have to
In this candid reflection, the author shares their experience with Google’s Data Science Research interview, highlighting the two critical rounds: Statistical Knowledge and Data Analytics. The statistical portion challenged their understanding of distributions, expectations, and confidence intervals, ultimately revealing that what seemed complex had a straightforward answer. The second round involved diagnosing a flawed model, where expectations of a case study shifted unexpectedly to a technical equation task. The key takeaway?
xAI launches Grok 4.3 at an aggressively low price and a new, fast, powerful voice cloning suite
xAI has launched Grok 4.3, a new large language model that enhances performance while maintaining an aggressively low pricing structure. This release comes amid ongoing legal battles involving founder Elon Musk and OpenAI co-founder Sam Altman. Grok 4.3 introduces advanced reasoning capabilities and a powerful voice cloning suite, designed to optimize user workflows. With significant improvements in specialized tasks, Grok 4.3 positions itself as a strong contender in the AI landscape, offering both affordability and functionality for developers and enterprises alike.
![Applying Karpathy's autoresearch to a 33M-token public transit dataset (14% improvement, replication notes) [P]](https://preview.redd.it/5b0ndl0lfdyg1.png?width=140&height=78&auto=webp&s=d84231a8711ffa8c6379b82678b6f20c3ef0e78f)
Applying Karpathy's autoresearch to a 33M-token public transit dataset (14% improvement, replication notes) [P]
Hello r/MachineLearning! I'm diving deep into AI and ML within the US transit industry, inspired by Andrej Karpathy's autoresearch framework. I applied this innovative approach to a 33M-token public transit dataset, aiming to assess its effectiveness for specialized data. Despite challenges, I achieved a 14% improvement while validating the methodology. I'm eager to hear your insights on potential pitfalls, intriguing aspects, and recommendations for further exploration. Join me as we explore the intersection of autoresearch and transit data—your input is invaluable!
Amazon’s OpenAI gambit signals a new phase in the cloud wars — one where exclusivity no longer applies
Amazon Web Services (AWS) has marked a pivotal moment in the cloud landscape with its latest announcements, unveiling a suite of tools that integrate OpenAI's powerful models into its Bedrock platform. This move coincides with the recent restructuring of OpenAI's partnership with Microsoft, setting the stage for a new era of collaboration across cloud providers.
FOMO is why enterprises pay for GPUs they don't use — and why prices keep climbing
Enterprises are grappling with a profound GPU waste problem, running fleets at a mere 5% utilization despite soaring costs. The fear of losing valuable capacity in a tight market prevents teams from releasing idle GPUs, perpetuating a cycle of inefficiency. As highlighted in Cast AI's 2026 State of Kubernetes Optimization Report, the situation is exacerbated by procurement practices that prioritize short-term allocation over long-term utility.
I built an open-source dashboard-as-code tool
Introducing an open-source dashboard-as-code tool designed for the modern data landscape. This code-first framework utilizes simple YAML and JSX files to build and deploy dynamic dashboards, enabling real-time generation of charts, tabs, and values. What sets it apart is its seamless integration with AI agents, creating a robust environment for AI-native analysis and business intelligence. Today marks its public release, and your feedback—whether constructive or critical—is invaluable. Explore the repository and join the conversation: https://github.com/bruin-data/dac.
Topological Data Analysis-friendly CAD/3D point cloud dataset [P]
Hello everyone, I’m seeking a suitable 3D point cloud or CAD/mesh dataset for a research project focused on comparing Topological Data Analysis (TDA) with traditional preprocessing methods. The study will evaluate classification accuracy after applying various perturbations, such as Gaussian noise and random point deletion. Ideally, I need a dataset featuring classes with distinct topological structures, such as spheres versus toroidal shapes, and ample samples (600+) for robust analysis.
400+ Python Practice Exercises by Topic (2026)
Elevate your Python skills with "400+ Python Practice Exercises by Topic (2026)." This comprehensive resource features 136 free exercises and 298 premium ones, all designed to enhance your coding proficiency. Organized by topic and difficulty, these exercises can be solved directly in your browser, making practice both convenient and engaging. Additionally, the guide provides strategies for effective practice and highlights top external platforms for coding challenges. Embrace the opportunity to transform your Python journey through targeted, hands-on experience.
The Best ETL Tools in 2026: A Practical Guide with Code Examples
Choosing the right ETL tools is crucial when building a robust data stack, yet the abundance of overlapping options can be overwhelming. In 2026, the landscape continues to evolve, making it essential to understand which tools align with your specific needs. This practical guide not only highlights the best ETL tools available but also provides clear code examples to facilitate your decision-making process.
Mistral AI launches Workflows, a Temporal-powered orchestration engine already running millions of daily executions
Mistral AI has unveiled Workflows, a powerful orchestration engine designed to elevate AI systems from mere proofs of concept to integral business processes. Operating within Mistral's Studio platform, Workflows already processes millions of daily executions, addressing critical gaps in operational infrastructure that hinder AI adoption. By separating orchestration from execution, it ensures data privacy and reliability, particularly for regulated industries.
Open source Xiaomi MiMo-V2.5 and V2.5-Pro are among the most efficient (and affordable) at agentic 'claw' tasks
Xiaomi has unveiled the MiMo-V2.5 and MiMo-V2.5-Pro, two powerful open-source AI large language models designed for efficient agentic "claw" tasks. Available under the MIT License, these models empower developers to adapt and deploy them in commercial applications without restrictions. Notably, MiMo-V2.5-Pro boasts a leading 63.8% success rate while using significantly fewer tokens than competitors for similar tasks. With competitive pricing and a commitment to innovation, Xiaomi positions itself as a formidable player in the open-source AI landscape, inviting developers to explore transformative
Why supply chains are the proving ground for automation‑led iPaaS
Supply chains are increasingly challenged by the limitations of legacy integration models, which struggle to keep pace with expanding partner networks and rising operational volatility. As traditional middleware falters under complexity and costs, automation-led Integration Platform as a Service (iPaaS) emerges as a vital solution. This article explores the evolving landscape of supply chains, highlighting the inadequacies of legacy systems and how next-gen iPaaS, enhanced by automation, can transform integration practices.
New AI framework autonomously optimizes training data, architectures and algorithms — outperforming human baselines
Introducing ASI-EVOLVE, a groundbreaking framework developed by researchers at SII-GAIR, designed to automate the entire optimization loop for AI training data, model architectures, and algorithms. By employing a continuous "learn-design-experiment-analyze" cycle, ASI-EVOLVE significantly reduces manual engineering efforts while enhancing performance beyond traditional human baselines. This innovative system autonomously discovers novel designs, improves data curation, and refines learning algorithms. With ASI-EVOLVE, enterprises can streamline their AI workflows and unlock new efficiencies, making advanced AI capabilities more accessible and effective than ever before