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  • Understanding the Data Costs Behind Enterprise AI With Acceldata

    2 days ago

    Understanding the Data Costs Behind Enterprise AI With Acceldata

    What happens to your AI budget when one business question becomes a series of data queries across several systems? In this episode of Tech Talks Daily, I speak with Rohit Choudhary, founder and CEO of Acceldata, about the work taking place behind an AI response. An agent may need to find information, call several tools, and repeat parts of that process before it can return an answer. Each step can consume resources, and the person asking the question may have little visibility into the infrastructure activity it creates. Rohit uses the example of looking for jewelry without knowing which vault contains it. The analogy helps explain why an AI system can spend time and compute finding the right source before it does anything useful with the information. We discuss his view that repeated queries and tool calls are putting pressure on enterprise infrastructure budgets, particularly where data is spread across older systems and cloud platforms. His banking example brings the problem into focus. Information can pass from mainframes through multiple processing stages before reaching the applications people use. Copies may represent different stages of transformation, and the data that is suitable for one business purpose may be unsuitable for another. An agent needs to use the appropriate source, while the organization needs to understand the reliability and cost of that decision. The banks are not named, and the example should be understood as Rohit's account of the patterns he sees. We also discuss why data quality cannot be separated from governance. Different business teams have different requirements, but AI services can draw on information that crosses those boundaries. Rohit argues for controls that operate throughout the data pipeline, including access restrictions, quality checks, and reconciliation. The business question is whether a policy actually changes what a running system can do. One of his clearest principles is that an agent acting for a person should follow that person's permissions when working with enterprise data. We talk about how common standards can coexist with decisions made by individual teams about where data should live and which infrastructure best serves a particular use case. The conversation does not offer a universal answer about who should own every cost, but it does make the case for consistent controls across separate budgets and responsibilities. Rohit also describes Acceldata's X-Lake platform and its approach to bringing intelligence to distributed data. Alongside the architecture discussion, I ask how leaders can distinguish productive AI activity from repeated processing and experiments that never become useful services. He expects a period of experimentation followed by a closer assessment of which applications provide lasting value. Faster application development can widen access to information, but it also makes it easier to build something whose ongoing cost has not been fully considered. Finally, we consider the consequences of using unreliable data. Rohit's credit and drug-trial examples are hypothetical illustrations of how errors can influence decisions. They reinforce a practical question for anyone expanding an AI service. Can you explain the information it used, the permissions it followed, and the resources it consumed? I would love to hear how your organization is approaching this, so please share your thoughts. Are you measuring the full data and infrastructure cost of an AI answer, or mainly the model bill?

  • Alleged Chinese Spy Got Close to Nvidia's CEO, NYT Says (Oct 30, 2026) [VIDEO]

    31 Oct ·  Video

    Alleged Chinese Spy Got Close to Nvidia's CEO, NYT Says (Oct 30, 2026) [VIDEO]

    🎧 Listen ADS-FREE: https://podcasts.apple.com/us/podcast/djamgamind-executive-ai-intelligence-business-forensics/id1885359791 🌐 Daily Briefing: https://djamgamind.com/daily 📚 Research Hub: https://djamgamind.com/pdfs [AI DAILY NEWS RUNDOWN] The New York Times reports U.S. intelligence believes an executive at a major Nvidia customer was a Chinese asset close to Jensen Huang; nothing is proven and Nvidia calls it routine. Plus: Alphabet's worst day ever, and AI ends security by obscurity. In this episode: The Nvidia spy report: what the Times says about Megaspeed, every side's response, and what it could mean for GPU rentals in Southeast Asia.Alphabet's worst day: down about 13%, roughly half a trillion dollars, as AI answers start to eat into Search; plus Microsoft's $25B bond and Amazon.AI closes the gap: "unexploitable" bugs are now exploitable, a 30-minute patch window, and OpenAI and Anthropic using AI to watch their own AI.Open models and Canada: Mistral's open trillion-parameter model, and up to $5B for Cohere with Ottawa investing.Agents at work: owners, expiry dates and a bank's password warning.Cert Corner: how do you limit the damage from a hijacked AI agent? Answer at the end.Also today: DoorDash agrees to buy Instacart for $17B.Binance loses $6.3B in the biggest crypto theft on record.Reddit will require a login, citing AI scraping.OpenAI reportedly delays GPT-6.1 Astra.Sources & links: https://enoumen.substack.com 🤝 Advertise on AI Unraveled & DjamgaMind: Put your enterprise AI brand in front of the CTOs, CISOs and engineering leaders who make AI buying decisions. Daily, in English and French, across 6 podcast feeds, YouTube and Substack. Sponsorship tiers & media kit: https://djamgamind.com/partners 🔗 TOOLS FROM THE SHOW AI & ML Tutor PRO: Master real-world ML architectures from your phone. https://djamgamind.com/apps/?app=aitutor&ep=20261030&src=rssDjamgaTech: Pass your AWS, Azure, GCP & AI certification exams. https://djamgamind.com/apps/?app=djamgatech&ep=20261030&src=rssNew eBook, Generative AI Leader (2026): the executive guide to Google Cloud's Gen AI Leader certification, updated for the new Gemini product names, with 60 practice questions. https://djamgamind.com/ebooks/?book=gcp-gail&ep=20261030&src=rssiQz: 100 free offline logic puzzles, plus 100 more with iQz PRO. Every answer explains the rule. No ads, no account. https://djamgamind.com/apps/?app=iqz&ep=20261030&src=rssDjamgaMind Kids: Imaginative bedtime audio adventures. https://djamgamind.com/apps/?app=kids&ep=20261030&src=rssGoogle Workspace: Business email, Docs and Gemini for your team, with discount codes. https://djamgamind.com/toolkit/#google-workspaceAI Executive Toolkit: The AI tools we actually use. https://djamgamind.com/toolkit⚗️ Researched & produced by Etienne Noumen, P.Eng. (Calgary, Canada) with a hybrid "Human-in-the-Loop" workflow. Got something to say to this podcast? Send a voicemail, and you might hear yourself on the next episode!

  • WFP028 – FPGA Talk #1 FPGA companies

    03/06/2025

    WFP028 – FPGA Talk #1 FPGA companies

    .avia-section.av-1apwy4-f0a9c875d3b2ecccb308559719541ff4 .av-extra-border-element .av-extra-border-inner{ background-color:#39342d; } .flex_column.av-xm6p0-62c5e21bb4b433b2eebb2ac41c4e9edd{ border-radius:10px 10px 10px 10px; padding:10px 10px 10px 10px; } #top .av-special-heading.av-lbda955k-6396b2ee9d9c24f957e8b7636dd41ea2{ padding-bottom:10px; } body .av-special-heading.av-lbda955k-6396b2ee9d9c24f957e8b7636dd41ea2 .av-special-heading-tag .heading-char{ font-size:25px; } .av-special-heading.av-lbda955k-6396b2ee9d9c24f957e8b7636dd41ea2 .av-subheading{ font-size:15px; } WoF Podcast WFP028 – FPGA Talk #1 FPGA companies @keyframes av_boxShadowEffect_av-lbdasn2o-c7eec03b1056dd0cbbc328c4d0577502 { 0% { box-shadow: 0 0 0 0 ; opacity: 1; } 100% { box-shadow: 0 0 10px 0 ; opacity: 1; } } .avia-image-container.av-lbdasn2o-c7eec03b1056dd0cbbc328c4d0577502 img.avia_image{ box-shadow: 0 0 10px 0 ; } .avia-image-container.av-lbdasn2o-c7eec03b1056dd0cbbc328c4d0577502 .av-image-caption-overlay-center{ color:#ffffff; } Shownotes Episode 28 of the World of FPGA Podcast. Talking about our favorite FPGA companies. Welcome to the FPGA Talk with the new co-host Glenn Kirilow Content of this Episode Feedback FPGA companies AMD or XILINX Lattice Altera Cologne Chip GoWin Atmel, Microsemi and Microchip Use other FPGAs in future Newsletter #mailpoet_form_1 .mailpoet_form { } #mailpoet_form_1 .mailpoet_column_with_background { padding: 10px; } #mailpoet_form_1 .mailpoet_form_column:not(:first-child) { margin-left: 20px; } #mailpoet_form_1 .mailpoet_paragraph { line-height: 20px; margin-bottom: 20px; } #mailpoet_form_1 .mailpoet_segment_label, #mailpoet_form_1 .mailpoet_text_label, #mailpoet_form_1 .mailpoet_textarea_label, #mailpoet_form_1 .mailpoet_select_label, #mailpoet_form_1 .mailpoet_radio_label, #mailpoet_form_1 .mailpoet_checkbox_label, #mailpoet_form_1 .mailpoet_list_label, #mailpoet_form_1 .mailpoet_date_label { display: block; font-weight: normal; } #mailpoet_form_1 .mailpoet_text, #mailpoet_form_1 .mailpoet_textarea, #mailpoet_form_1 .mailpoet_select, #mailpoet_form_1 .mailpoet_date_month, #mailpoet_form_1 .mailpoet_date_day, #mailpoet_form_1 .mailpoet_date_year, #mailpoet_form_1 .mailpoet_date { display: block; } #mailpoet_form_1 .mailpoet_text, #mailpoet_form_1 .mailpoet_textarea { width: 200px; } #mailpoet_form_1 .mailpoet_checkbox { } #mailpoet_form_1 .mailpoet_submit { } #mailpoet_form_1 .mailpoet_divider { } #mailpoet_form_1 .mailpoet_message { } #mailpoet_form_1 .mailpoet_form_loading { width: 30px; text-align: center; line-height: normal; } #mailpoet_form_1 .mailpoet_form_loading > span { width: 5px; height: 5px; background-color: #5b5b5b; }#mailpoet_form_1{border-radius: 0px;text-align: left;}#mailpoet_form_1 form.mailpoet_form {padding: 20px;}#mailpoet_form_1{width: 100%;}#mailpoet_form_1 .mailpoet_message {margin: 0; padding: 0 20px;}#mailpoet_form_1 .mailpoet_paragraph.last {margin-bottom: 0} @media (max-width: 500px) {#mailpoet_form_1 {background-image: none;}} @media (min-width: 500px) {#mailpoet_form_1 .last .mailpoet_paragraph:last-child {margin-bottom: 0}} @media (max-width: 500px) {#mailpoet_form_1 .mailpoet_form_column:last-child .mailpoet_paragraph:last-child {margin-bottom: 0}} Please leave this field empty When clicking on the button "Let's go..." I agree to the terms and conditions laid out in the Privacy Policy Check your inbox or spam folder to confirm your subscription. Follow us Follow our LinkedIn World of FPGA Page Intro- and outro music The music for intro and outro is provided by Cedric Galke x Fachhochschule Dortmund with the title Happy Dance under free license. The post WFP028 – FPGA Talk #1 FPGA companies appeared first on World of FPGA by David Kirchner.

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