data analysis tools
data analysis tools on Beyond Market Intelligence: a running collection of 179 stories we have gathered and hand-picked because they are worth your time. Every post here touches on data analysis tools 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 data analysis tools, 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.
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.
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.
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.
How to make Excel just keep 2 decimal place behind comma after executing function?
If you're facing issues with Excel displaying excessive decimal places after executing functions, you're not alone. Many users encounter this challenge, especially after installing tools like Solver and the Data Analysis Toolpak. While the default behavior may show up to 15 decimal places, you can easily adjust this setting to maintain just two decimal places throughout your workbook. This guide will walk you through the steps to achieve a streamlined view of your data, ensuring clarity and consistency without the need for truncation.
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.
Definity embeds agents inside Spark pipelines to catch failures before they reach agentic AI systems
Definity is revolutionizing data pipeline reliability by embedding agents directly within Spark and DBT drivers, enabling real-time intervention during execution. Traditional monitoring tools often react to failures after they occur, leading to wasted resources and delayed insights. By catching issues before they impact downstream systems, Definity empowers data engineering teams to proactively optimize their workflows. In just one week, an enterprise customer identified 33% optimization opportunities and reduced troubleshooting efforts by 70%.
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.
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
AI synthetic audiences are already here and poised to upend the consulting industry
The consulting industry is on the brink of a transformation, as AI synthetic audiences emerge to challenge traditional methods. These digital representations of people enable rapid, cost-effective surveys, shifting the landscape of market research. While speed and affordability are appealing, questions about accuracy and data security linger. As established firms and agile startups navigate this evolving terrain, the future of consulting may not be a battleground but rather a collaborative journey.
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.
DeepSeek-V4 arrives with near state-of-the-art intelligence at 1/6th the cost of Opus 4.7, GPT-5.5
DeepSeek-V4 has arrived, marking a significant leap in AI capabilities with its 1.6-trillion-parameter Mixture-of-Experts model, available at just 1/6th the cost of competitors like GPT-5.5 and Claude Opus 4.7. This latest release, rooted in innovative architecture and a commitment to open-source accessibility, empowers developers and enterprises to harness advanced AI without prohibitive costs. As DeepSeek researcher Deli Chen emphasizes, "AGI belongs to everyone," positioning this model as a game changer in the landscape of affordable, high-performance AI
Is the ds/ml slowly being morphed into an AI engineer? [D]
The evolving landscape of data science raises important questions about the core identity of data scientists in an age increasingly dominated by AI engineering. As industry demands shift towards integrating generalist models and refining existing workflows, many data scientists find their roles morphing into that of AI engineers. This transition, while economically sensible, risks overshadowing the critical aspects of data quality, problem framing, and model development that define the foundational work of data science.
How to Become an AI Engineer in 2026 (A Complete Roadmap)
Embarking on a career as an AI engineer by 2026 is an exciting opportunity to shape the future of technology. This comprehensive roadmap outlines the essential skills you need to acquire, such as Python, LLM APIs, RAG, and agents, presented in a logical learning sequence. With a realistic timeline of 8 to 12 months to transition from your first LLM prompt to deploying production AI systems, you’ll also discover current salary expectations ranging from $130K to $250K+, depending on your experience.
OpenAI's GPT-5.5 is here, and it's no potato: narrowly beats Anthropic's Claude Mythos Preview on Terminal-Bench 2.0
OpenAI has officially launched GPT-5.5, a significant advancement in AI language models that narrowly surpasses Anthropic's Claude Mythos Preview on the Terminal-Bench 2.0. This model, which has been internally referred to as "Spud," showcases OpenAI's commitment to enhancing user experience by simplifying complex tasks and improving coding efficiency. With a focus on agentic performance, GPT-5.5 autonomously tackles intricate workflows, making it an invaluable tool for professionals across various fields.
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.
Vercel breach exposes the OAuth gap most security teams cannot detect, scope or contain
The recent breach at Vercel highlights a critical gap in OAuth security that many organizations overlook. An employee's use of the Context.ai AI tool, combined with an infostealer infection, created an unmonitored entry point to Vercel’s production systems. This incident underscores the urgent need for robust governance around third-party AI tool permissions and environment variable classifications. As investigations continue, it serves as a crucial reminder for security teams to reassess their detection capabilities and adapt to the evolving landscape of AI-driven threats.
Anyone else paranoid using AI for analysis?
Are you feeling a sense of detachment when using AI for data analysis? As a trained data scientist, I find myself increasingly reliant on AI tools, yet I'm often left feeling paranoid about the accuracy of my results. The subtlety of errors—like silent data drops or miscoded variables—can lead to misleading conclusions. I used to have an intimate relationship with my data, catching nuances that now often slip through the cracks.
Adversaries hijacked AI security tools at 90+ organizations. The next wave has write access to the firewall
In 2025, adversaries exploited vulnerabilities in AI security tools across more than 90 organizations, gaining unauthorized access to sensitive data and cryptocurrency. The emergence of autonomous SOC agents, which possess the capability to directly modify firewall rules and IAM policies, introduces a heightened risk of exploitation. As organizations adopt these advanced tools, a critical gap in governance remains, necessitating immediate audits against OWASP's Top 10 risk categories.
What AI model should you use for revenue intelligence? Von says all the big ones, and it will automate mixing and matching for you
In the evolving landscape of revenue intelligence, Von emerges as a transformative AI platform designed to unify fragmented sales data and enhance decision-making for Go-To-Market teams. Unlike traditional AI solutions, Von builds a comprehensive context graph that integrates structured and unstructured data, empowering users with actionable insights. By leveraging a mixture of models, Von addresses common challenges in sales operations, automating tasks and providing deep analytical capabilities.