generative AI for data analysis

Surprise upset: GPT-5.5 beats Claude Fable 5 on brutal new Agents’ Last Exam benchmark

A significant shift has occurred in AI evaluation with the launch of Agents’ Last Exam (ALE), a rigorous new benchmark designed to assess AI’s ability to handle economically valuable, long-horizon professional workflows. OpenAI’s GPT-5.5, operating through the Codex harness, currently leads the ALE Leaderboard with a 24.0% pass rate, surpassing Anthropic’s Claude Fable 5.

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.

Best LLM Courses in 2026

Best Machine Learning Courses in 2026

In 2026, selecting the best machine learning course requires clarity on your goals—whether you aim to understand ML concepts, apply them practically, or engineer systems for production. Many lists fall short, offering either overly theoretical content or tool-centric bootcamps that miss critical math foundations. This article breaks down the most effective courses tailored to your objectives, ensuring you find a path that empowers your learning journey.

Best Deep Learning Courses in 2026

Navigating the landscape of deep learning courses can be challenging, especially with the mix of AI literacy, pre-trained model usage, and hands-on neural network training. This guide focuses solely on the third category, offering you the best deep learning courses for 2026 that equip you with the skills to build and train your own models. If you're eager to deepen your understanding and practical expertise, this curated list is your gateway to transformative learning.

Physics Informed Neural Networks for damped harmonic oscillator and Burger's Equation (with extrapolation analysis) [P]

Explore the implementation of Physics Informed Neural Networks (PINNs) in Python, as I tackle two key problems: the damped harmonic oscillator and the 1D viscous Burgers' equation. This project not only addresses forward and inverse problems for parameter estimation but also includes a thorough investigation of extrapolation behavior, evaluating model performance outside the training domain. The GitHub repository features source code, sample outputs, and a written exam report. For additional insights on neural networks, check out "Best Text to Text Translation Model?" for further exploration.

SQL query logs hold the context AI agents need to stop hallucinating joins

SQL query logs are crucial for AI agents to avoid misinterpreting data joins, as demonstrated by Miro's experience with over 10,000 tables in Snowflake, where inaccuracies arose more than 65% of the time. The challenge was rooted in the lack of contextual understanding. DataHub is addressing this with its upcoming Context Intelligence layer, which leverages SQL query history to create a semantic index, guiding agents toward validated data connections. This innovative approach empowers organizations to transform their data management practices, making AI-driven insights more reliable.

How DeepSeek’s radical architecture is shattering Silicon Valley's token moat

DeepSeek’s recent announcement of a permanent 75% price cut on its V4 Pro model marks a significant disruption in Silicon Valley’s AI landscape, challenging capital-intensive business models. By offering a solution that is 7x cheaper on inputs and 17x cheaper on outputs compared to leading competitors, DeepSeek not only enhances affordability but also promotes efficiency through innovative hardware-software architecture.

Merck and Mastercard are seeing real agentic AI results. Both say the plumbing came first.

Merck and Mastercard are witnessing significant advancements in agentic AI by prioritizing foundational infrastructure. Merck is leveraging AI to cut drug discovery cycles by a third and accelerate compliant marketing material delivery by up to 80%. VP Sean Finnerty emphasizes that these successes stem from robust digital plumbing established before AI deployment. Similarly, Mastercard focuses on optimizing transaction workflows, navigating complexities with AI while balancing efficiency and customer trust. For further insights on AI's evolving impact, explore our related article, "Google just broke SEO.

DeepSWE blows up the AI coding leaderboard, crowns GPT-5.5, and finds Claude Opus exploiting a benchmark loophole

Datacurve's newly released benchmark, DeepSWE, disrupts the AI coding landscape by revealing significant performance disparities among top models. Crowning OpenAI's GPT-5.5 as the clear leader, the evaluation underscores the limitations of existing benchmarks like SWE-Bench Pro, which may mislead enterprise buyers about model capabilities. With findings that suggest a troubling 32% error rate in verifier reliability, DeepSWE raises critical questions about how the industry measures AI performance.

AI agents are quietly generating chaos engineering failures enterprises don’t track yet

As enterprises increasingly adopt AI agents, a concerning gap in chaos engineering practices is emerging. Many organizations are unaware that agent actions, while technically correct, can trigger cascading failures due to incomplete context. This disconnect leads to confusion over accountability between teams. With 79% of organizations deploying AI agents and predictions of widespread integration by 2028, it’s crucial to recognize these agents as chaos injectors. To navigate this landscape effectively, companies must audit their agent actions and link them to chaos engineering frameworks.

Which platform do you use to execute your code?

In the pursuit of modernizing your data analysis workflows, selecting the right platform for executing code is crucial. As you transition from legacy tools to Python, the challenge of managing large datasets becomes apparent. It’s essential to find a solution that accommodates your needs without being hindered by traditional IT constraints. Tools like Posit Workbench and Databricks could be a good fit. If you’re grappling with similar issues, consider exploring our article, "Advice?

A 0.12% parameter add-on gives AI agents the working memory RAG can't

In the evolving landscape of AI, the introduction of delta-mem offers a groundbreaking solution to the long memory challenge faced by agents. Traditional methods, like expanding context windows or relying on retrieval-augmented generation (RAG), often lead to inefficiencies and increased costs. Delta-mem compresses historical interactions into a compact matrix, enhancing memory retention without bloating model size. This innovative technique empowers AI agents to carry forward relevant information seamlessly, streamlining workflows and reducing latency.

MFA verifies who logged in. It has no idea what they do next.

In today’s enterprise landscape, a successful multi-factor authentication (MFA) check only verifies who logged in, leaving a critical blind spot: post-authentication actions. Even with every login deemed legitimate, attackers can exploit valid session tokens to move laterally through systems, escalating privileges undetected. Alex Philips, CIO at NOV, highlights this architectural gap, emphasizing the need for immediate session token revocation to prevent lateral movement. As identity theft tactics evolve, enterprises must re-evaluate their security strategies.

LLM Themes Are Not Observations

In "LLM Themes Are Not Observations," practitioners are cautioned about the potential pitfalls of relying on generated variables in causal analysis. This insightful post emphasizes the importance of distinguishing between themes identified by large language models and actual observational data, which can lead to misinterpretations and flawed conclusions. By understanding this distinction, users can enhance their analytical approach. For those looking to streamline their data management processes, you may also find value in our article, "How I can 'automatize' this database in a simple way."

Cerebras says its chips run a trillion-parameter AI model nearly 7 times faster than GPU clouds

Cerebras Systems has made a significant leap in the AI inference market, announcing that its chips can run the trillion-parameter Kimi K2.6 model nearly 7 times faster than any GPU cloud provider, achieving 981 output tokens per second. This milestone, independently verified by Artificial Analysis, showcases Cerebras' wafer-scale architecture's unique advantages, eliminating traditional bottlenecks. As the company positions itself at the forefront of AI technology, it invites enterprises to explore the transformative potential of its solutions.

Best SQL Courses in 2026 (Ranked and Compared )

In 2026, finding the right SQL course can be a daunting task, especially with so many options available. Most lists either skim the surface or offer a one-size-fits-all approach, ignoring the distinct needs of different users. Whether you're a complete beginner, a working analyst, or an engineer developing production systems, your SQL training should align with your specific goals. In our comprehensive ranking and comparison, we break down the best SQL courses tailored for various skill levels and use cases.

GitHub confirms 3,800 internal repos stolen through poisoned VS Code extension as supply chain worm hits Microsoft’s Python SDK

GitHub has confirmed that approximately 3,800 internal repositories were compromised through a poisoned VS Code extension installed on an employee's device, as part of a broader attack by the threat group TeamPCP, also known as UNC6780. The attackers are advertising the stolen repositories for sale, with claims consistent with GitHub's investigation. This incident highlights vulnerabilities in supply chain security and the need for organizations to reassess their defenses.

Best Generative AI Courses in 2026

As generative AI technology evolves rapidly, finding the best courses in 2026 presents unique challenges for engineers. With content aging faster than most technical subjects, distinguishing effective learning opportunities from outdated information becomes essential. A LangChain tutorial from 2023 may already cover deprecated practices, while a 2024 prompt engineering course might overlook crucial modern concepts like agents or retrieval-augmented generation (RAG). To navigate this landscape, explore our insights on selecting relevant courses that empower your skill development in this dynamic field.

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."

Google just redesigned the search box for the first time in 25 years — here’s why it matters more than you think.

Google's recent redesign of its iconic search box marks a pivotal shift in how users will interact with information online. For the first time in 25 years, the search box transcends its traditional role, evolving into an AI-driven interface that accommodates text, images, and more. This transformation invites users to engage in open-ended conversations rather than mere keyword searches, reflecting a future where AI enhances our quest for knowledge. As this new functionality rolls out, it signals a significant evolution in user experience.

Intercom, now called Fin, launches an AI agent whose only job is managing another AI agent

Fin, formerly known as Intercom, has launched Fin Operator, a groundbreaking AI agent dedicated to managing another AI agent. Announced at a live event in San Francisco, this innovative tool is designed for back-office teams, simplifying the complexities of configuring and monitoring Fin, the company’s customer-facing AI. Rather than replacing human support agents, Fin Operator empowers support operations professionals by automating tasks like data analysis and knowledge management. This development marks a significant evolution in customer service technology, underscoring the shift towards AI-driven operational solutions.

Best AI Courses in 2026: From Using AI to Building It

As the demand for AI expertise continues to grow, choosing the right course can significantly impact your learning journey. In 2026, you’ll encounter two distinct paths: one focused on mastering AI tools and another dedicated to building AI systems from scratch. Selecting the wrong option could lead to months of frustration. This guide compares ten of the best AI courses available, helping you find the perfect fit for your goals.

Cerebras stock nearly doubles on day one as AI chipmaker hits $100 billion — what it means for AI infrastructure

Cerebras Systems made a stunning debut on the Nasdaq, with its stock nearly doubling to $350 per share, propelling the AI chipmaker to a market capitalization of $100 billion. This monumental IPO not only marks one of the largest tech offerings since Uber but also highlights a pivotal moment in AI infrastructure, validating the company's decade-long commitment to innovative chip design. As Cerebras plans to invest its newfound capital into expanding cloud infrastructure, it positions itself at the forefront of the rapidly evolving AI landscape.