The deep learning revolution has a curious blind spot: the spreadsheet. While Large Language Models (LLMs) have mastered the nuances of human prose and image generators have conquered the digital canvas, the structured, relational data that underpins the global economy â the rows and columns of ERP systems, CRMs, and financial ledgers â has so far been treated as just another file format similar to text or PDFs.That's left enterprises... Read more âș
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Presented by SAPSAPâs AI solution, Joule, has already transformed how business users work â turning siloed data and tasks into intelligent, connected workflows. But consultants on SAP projects face a different set of needs: navigating complex implementations, evolving best practices, and the pressure to deliver faster. They need timely, expert-level guidance. They need an AI partner that can deliver accurate SAP knowledge in an instant. Enter SAP Joule for Consultants,... Read more âș
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Todayâs LLMs excel at reasoning, but can still struggle with context. This is particularly true in real-time ordering systems like Instacart. Instacart CTO Anirban Kundu calls it the "brownie recipe problem." It's not as simple as telling an LLM âI want to make brownies.â To be truly assistive when planning the meal, the model must go beyond that simple directive to understand whatâs available in the userâs market based on... Read more âș
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Mistral AI, the Paris-based startup positioning itself as Europe's answer to OpenAI, released a pair of speech-to-text models on Wednesday that the company says can transcribe audio faster, more accurately, and far more cheaply than anything else on the market â all while running entirely on a smartphone or laptop.The announcement marks the latest salvo in an increasingly competitive battle over voice AI, a technology that enterprise customers see as... Read more âș
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Remote-first AI coding startup Kilo doesn't think software developers should have to pledge their undying allegiance to any one development environment â and certainly not any one model or harness. This week, the startup â backed by GitLab co-founder Sid Sijbrandij â unveiled Kilo CLI 1.0, a complete rebuild of its command-line tool that offers support for more than 500 different underlying AI models from proprietary leaders and open source... Read more âș
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Presented by CertiniaThe initial euphoria around Generative and Agentic AI has shifted to a pragmatic, often frustrated, reality. CIOs and technical leaders are asking why their pilot programs, even those designed to automate the simplest of workflows, arenât delivering the magic promised in demos.When AI fails to answer a basic question or complete an action correctly, the instinct is to blame the model. We assume the LLM isnât "smart" enough.... Read more âș
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Chinese e-commerce giant Alibaba's Qwen team of AI researchers has emerged in the last year as one of the global leaders of open source AI development, releasing a host of powerful large language models and specialized multimodal models that approach, and in some cases, surpass the performance of the proprietary U.S. leaders such as OpenAI, Anthropic, Google and xAI.Now the Qwen team is back again this week with a compelling... Read more âș
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Chinese e-commerce giant Alibaba's Qwen team of AI researchers has emerged in the last year as one of the global leaders of open source AI development, releasing a host of powerful large language models and specialized multimodal models that approach, and in some cases, surpass the performance of the proprietary U.S. leaders such as OpenAI, Anthropic, Google and xAI.Now the Qwen team is back again this week with a compelling... Read more âș
0
Apple on Tuesday announced a major update to its flagship developer tool that gives artificial intelligence agents unprecedented control over the app-building process, a move that signals the iPhone maker's aggressive push into an emerging and controversial practice known as "agentic coding."Xcode 26.3, available immediately as a release candidate, integrates Anthropic's Claude Agent and OpenAI's Codex directly into Apple's development environment, allowing the AI systems to autonomously write code, build... Read more âș
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Five years ago, Databricks coined the term 'data lakehouse' to describe a new type of data architecture that combines a data lake with a data warehouse. That term and data architecture are now commonplace across the data industry for analytics workloads.Now, Databricks is once again looking to create a new category with its Lakebase service, now generally available today. While the data lakehouse construct deals with OLAP (online analytical processing)... Read more âș
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Before Claude Code wrote its first line of code, Vercel was already in the vibe coding space with its v0 service.The basic idea behind the original v0, which launched in 2024, was essentially to be version 0. That is, the earliest version of an application, helping developers solve the blank canvas problem. Developers could prompt their way to a user interface (UI) scaffolding that looked good, but the code was... Read more âș
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The key to successful AI agents within an enterprise? Shared memory and context. This, according to Asana CPO Arnab Bose, provides detailed history and direct access from the get-go â with guardrail checkpoints and human oversight, of course. This way, âwhen you assign a task, you're not having to go ahead and re-provide all of the context about how your business works,â Bose said at a recent VB event in... Read more âș
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OpenAI on Monday released a new desktop application for its Codex artificial intelligence coding system, a tool the company says transforms software development from a collaborative exercise with a single AI assistant into something more akin to managing a team of autonomous workers.The Codex app for macOS functions as what OpenAI executives describe as a "command center for agents," allowing developers to delegate multiple coding tasks simultaneously, automate repetitive work,... Read more âș
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Enterprises have moved quickly to adopt RAG to ground LLMs in proprietary data. In practice, however, many organizations are discovering that retrieval is no longer a feature bolted onto model inference â it has become a foundational system dependency.Once AI systems are deployed to support decision-making, automate workflows or operate semi-autonomously, failures in retrieval propagate directly into business risk. Stale context, ungoverned access paths and poorly evaluated retrieval pipelines do... Read more âș
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By now, many enterprises have deployed some form of RAG. The promise is seductive: index your PDFs, connect an LLM and instantly democratize your corporate knowledge.But for industries dependent on heavy engineering, the reality has been underwhelming. Engineers ask specific questions about infrastructure, and the bot hallucinates.The failure isn't in the LLM. The failure is in the preprocessing.Standard RAG pipelines treat documents as flat strings of text. They use "fixed-size... Read more âș
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OpenClaw, the open-source AI assistant formerly known as Clawdbot and then Moltbot, crossed 180,000 GitHub stars and drew 2 million visitors in a single week, according to creator Peter Steinberger. Security researchers scanning the internet found over 1,800 exposed instances leaking API keys, chat histories, and account credentials. The project has been rebranded twice in recent weeks due to trademark disputes.The grassroots agentic AI movement is also the biggest unmanaged... Read more âș
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San Francisco-based AI lab Arcee made waves last year for being one of the only U.S. companies to train large language models (LLMs) from scratch and release them under open or partially open source licenses to the publicâenabling developers, solo entrepreneurs, and even medium-to-large enterprises to use the powerful AI models for free and customize them at will.Now Arcee is back again this week with the release of its largest,... Read more âș
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A new open-source framework called PageIndex solves one of the old problems of retrieval-augmented generation (RAG): handling very long documents.The classic RAG workflow (chunk documents, calculate embeddings, store them in a vector database, and retrieve the top matches based on semantic similarity) works well for basic tasks such as Q&A over small documents.PageIndex abandons the standard "chunk-and-embed" method entirely and treats document retrieval not as a search problem, but as... Read more âș
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The chief data officer (CDO) has evolved from a niche compliance role into one of the most critical positions for AI deployment. These executives now sit at the intersection of data governance, AI strategy, and workforce readiness. Their decisions determine whether enterprises move from AI pilots to production scale or remain stuck in experimentation mode.That's why Informatica's third annual survey â the largest survey yet of CDOs specifically on AI... Read more âș
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A new study by Google suggests that advanced reasoning models achieve high performance by simulating multi-agent-like debates involving diverse perspectives, personality traits, and domain expertise.Their experiments demonstrate that this internal debate, which they dub âsociety of thought,â significantly improves model performance in complex reasoning and planning tasks. The researchers found that leading reasoning models such as DeepSeek-R1 and QwQ-32B, which are trained via reinforcement learning (RL), i Read more âș
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20.03.2026 10:13
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