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39<script type="application/ld+json">{"@context":"https://schema.org","@type":"TechArticle","headline":"Indian Multimodal Datasets for Human-Centric AI | MI-RA Lab","description":"Why Indian languages, faces, gestures, and environments matter for human-centric AI, and how MI-RA Lab supports synchronized multimodal dataset collection with consent, metadata, and annotation workflows.","url":"https://mi-ra.co.in/indian-multimodal-datasets","dateModified":"2026-09-12","inLanguage":"en","author":{"@type":"ResearchOrganization","name":"MI-RA Lab","url":"https://mi-ra.co.in"},"publisher":{"@type":"ResearchOrganization","name":"MI-RA Lab","logo":{"@type":"ImageObject","url":"https://mi-ra.co.in/imgcopy/logo/Mira.png"}},"about":["Multimodal data collection","Human-centric AI","IIT Mandi"]}</script>
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39<script type="application/ld+json">{"@context":"https://schema.org","@type":"FAQPage","mainEntity":[{"@type":"Question","name":"Where can I collect Indian human-centric AI data?","acceptedAnswer":{"@type":"Answer","text":"MI-RA Lab at IIT Mandi supports controlled collection of multimodal human data with Indian participants. Access is by project review and BookMyLab booking. The lab does not publish a public download catalogue of finished datasets on this website."}},{"@type":"Question","name":"Do Indian multimodal datasets already exist?","acceptedAnswer":{"@type":"Answer","text":"Yes. Speech, vision, and some multimodal corpora for Indian languages and identities already exist in academia and industry. The research gap MI-RA addresses is not âzero data,â but the difficulty of collecting time-aligned video, audio, motion, and physiological signals from Indian subjects under documented protocols."}},{"@type":"Question","name":"Can audio, video and biosignals be collected simultaneously?","acceptedAnswer":{"@type":"Answer","text":"That is the design intent of the MI-RA capture chamber and multi-sensor rooms: simultaneous recording with hardware-based synchronization. Whether a specific protocol can include a given biosensor must be confirmed with the lab."}},{"@type":"Question","name":"How can researchers collaborate with MI-RA Lab?","acceptedA
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39<header class="border-b border-gray-200/80 bg-gradient-to-b from-primary-50/80 to-white/80"><div class="container mx-auto px-4 sm:px-6 lg:px-8 py-10 md:py-14 max-w-4xl"><nav aria-label="Breadcrumb" class="mb-5 text-sm text-gray-600"><ol class="flex flex-wrap items-center gap-x-2 gap-y-1"><li class="flex items-center gap-2"><a class="text-primary-600 hover:text-primary-700 underline-offset-2 hover:underline" href="/">Home</a></li><li class="flex items-center gap-2"><span aria-hidden="true">/</span><span class="text-gray-900 font-medium">Indian multimodal datasets</span></li></ol></nav><p class="text-xs sm:text-sm font-semibold uppercase tracking-wide text-primary-600 mb-2">MI-RA Lab<!-- --> · <!-- -->Multimodal Intelligence for Real-World Applications</p><h1 class="text-3xl sm:text-4xl md:text-5xl font-bold text-gray-900 leading-tight text-balance">Indian Multimodal Datasets for Human-Centric AI</h1><p class="mt-4 text-base sm:text-lg text-gray-700 leading-relaxed">Why Indian languages, faces, gestures, and environments matter for human-centric AI, and how MI-RA Lab supports synchronized multimodal dataset collection with consent, metadata, and annotation workflows.</p><p class="mt-3 text-sm text-gray-500">Search intent: <!-- -->researchers seeking Indian human-centric or multimodal training and evaluation data<!-- -->. Last updated <!-- -->2026-09-12<!-- -->. Prepared by the MI-RA Lab team at<!-- --> <a class="text-primary-600 hover:underline" href="/#team">IIT Mandi iHub and HCi Foundation</a>. Technical claims on this page are limited to capabilities described on the<!-- --> <a class="text-primary-600 hover:underline" href="/#raison-detre">lab overview</a> <!-- -->and<!-- --> <a class="text-primary-600 hover:underline" href="/slot-booking">BookMyLab facility pages</a>.</p></div></header><div class="container mx-auto px-4 sm:px-6 lg:px-8 py-10 md:py-14 max-w-4xl"><div class="research-prose space-y-8 text-gray-800 leading-relaxed text-base sm:text-lg"><section><h2>Direct answer</h2><p>A multimodal dataset records more than one sensory or behavioural channel from the same eventsâtypically video plus audio, and sometimes motion, gaze, or physiology. MI-RA Lab at IIT Mandi is set up to <em>collect</em> such data with Indian participants in a controlled facility. This website does not list released dataset names, clip counts, or download URLs. Treat MI-RA as a capture and annotation facility, not as a claim that no Indian multimodal data exists elsewhere.</p></section><section><h2>What multimodal datasets are</h2><p>In human-centric AI, âmultimodalâ means the model can see relationships across channels: what a person said, how their face moved, how their hands gestured, and, in some studies, how heart, muscle, or skin-conductance signals changed. Quality depends on temporal alignment, consistent metadata, honest consent, and annotation that matches the scientific question.</p><p>Files dumped into one folder are not automatically a multimodal dataset. See<!-- --> <a href="/synchronized-multimodal-data-capture">synchronized multimodal data capture</a> <!-- -->for why a shared timeline matters.</p></section><section><h2>Why Indian data matters â without claiming a vacuum</h2><p>Indian languages, accents, faces, clothing, gestures, and indoor/outdoor environments differ from the populations that dominate many widely cited Western or web-scale corpora. Models trained only on those corpora can under-perform or misread Indian users. That is a representation and validity problem, not proof that âthere are no Indian datasets.â</p><p>The gap MI-RA is built around, as stated on the lab overview, is that<!-- --> <strong>properly synchronized multimodal data is still rare and difficult to create</strong>, especially when the subjects and situations are Indian. Speech-only or image-only Indian resources do not replace time-aligned video + audio + body/physiology for the same utterance or action.</p></section><section><h2>Languages, accents, faces, gestures, and social interaction</h2><p>A capture protocol can specify language, bilingual switching, regional accent, age range, and interaction type (read speech, conversation, instruction-following, affective tasks). Faces and gestures should be treated as demographic and cultural variables, not as a single âIndianâ template. Social interaction (two-person tasks, interviewerâspeaker setups) needs extra cameras, mics, and consent language; the multi-sensor room is described as reconfigurable for UX and interaction studies.</p></section><section><h2>Environments and physiological signals</h2><p>The core chamber is anechoic and controlled. That is useful for clean speech and repeatable lighting, and it is a limitation for âdaily Indian situationsâ that happen in homes, streets, or noisy workplaces. Physiological channels (the site mentions EMG/EDA mounts on the volumetric rig; affiliate faculty pages discuss EEG, ECG, GSR, eye movement, and related sensors as research modalities) should be listed in the protocol and ethics applicationân
39ot assumed as a standing public inventory.</p></section><section><h2>Dataset quality: annotation, metadata, consent</h2><ul><li><strong>Annotation.</strong> BookMyLab includes an<!-- --> <a href="/slot-booking">Annotation Room</a> for labeling and QA of vision, audio, and text.</li><li><strong>Metadata.</strong> Session IDs, clock sources, sensor lists, language, task scripts, and calibration files should travel with the media. Without them, later fusion is guesswork.</li><li><strong>Consent and privacy.</strong> Human recordings are personal data. MI-RA project intake includes ethics and review steps. This page is not legal advice; institutional ethics boards remain responsible.</li></ul></section><section><h2>Research applications</h2><p>Aligned Indian multimodal data is used for speech and lip-reading under local accents, emotion and cognitive-load studies, gesture and activity models, accessibility interfaces, and embodied or HCI systems that must work for people in India. Combine chamber capture with field collection when the scientific claim is about real environments.</p></section><div class="overflow-x-auto -mx-1 sm:mx-0 rounded-xl border border-gray-200 bg-white/90"><table class="min-w-full text-sm sm:text-base"><caption class="sr-only">What this facility provides versus what it does not claim</caption><thead class="bg-gray-50 text-left"><tr><th scope="col" class="px-3 sm:px-4 py-3 font-semibold text-gray-800 border-b border-gray-200">Topic</th><th scope="col" class="px-3 sm:px-4 py-3 font-semibold text-gray-800 border-b border-gray-200">What is documented</th><th scope="col" class="px-3 sm:px-4 py-3 font-semibold text-gray-800 border-b border-gray-200">What is not claimed</th></tr></thead><tbody><tr class="odd:bg-white even:bg-gray-50/70 align-top"><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100"><strong class="font-semibold text-gray-900">Collection</strong></td><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100">Controlled multi-view, audio, motion, and physiological-capable rooms at IIT Mandi</td><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100">A public numbered corpus (hours, speakers, or GB) on this website</td></tr><tr class="odd:bg-white even:bg-gray-50/70 align-top"><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100"><strong class="font-semibold text-gray-900">Population</strong></td><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100">Lab focus on Indian subjects and situations as stated on the overview</td><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100">That all Indian languages or states are already recorded</td></tr><tr class="odd:bg-white even:bg-gray-50/70 align-top"><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100"><strong class="font-semibold text-gray-900">Prior art</strong></td><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100">Indian speech/vision resources exist outside this lab</td><td class="px-3 sm:px-4 py-3 text-gray-700 border-b border-gray-100">That MI-RA is the first or only Indian multimodal effort</td></tr></tbody></table></div></div><section class="mt-14" aria-labelledby="research-faq-heading"><h2 id="research-faq-heading" class="text-2xl sm:text-3xl font-bold text-gray-900 mb-6">Direct answers</h2><div class="space-y-4"><div class="card-modern p-5 sm:p-6"><h3 class="text-lg sm:text-xl font-semibold text-gray-900 mb-2">Where can I collect Indian human-centric AI data?</h3><p class="text-gray-700 leading-relaxed">MI-RA Lab at IIT Mandi supports controlled collection of multimodal human data with Indian participants. Access is by project review and BookMyLab booking. The lab does not publish a public download catalogue of finished datasets on this website.</p></div><div class="card-modern p-5 sm:p-6"><h3 class="text-lg sm:text-xl font-semibold text-gray-900 mb-2">Do Indian multimodal datasets already exist?</h3><p class="text-gray-700 leading-relaxed">Yes. Speech, vision, and some multimodal corpora for Indian languages and identities already exist in academia and industry. The research gap MI-RA addresses is not âzero data,â but the difficulty of collecting time-aligned video, audio, motion, and physiological signals from Indian subjects under documented protocols.</p></div><div class="card-modern p-5 sm:p-6"><h3 class="text-lg sm:text-xl font-semibold text-gray-900 mb-2">Can audio, video and biosignals be collected simultaneously?</h3><p class="text-gray-700 leading-relaxed">That is the design intent of the MI-RA capture chamber and multi-sensor rooms: simultaneous recording with hardware-based synchronization. Whether a specific protocol can include a given biosensor must be confirmed with the lab.</p></div><div class="card-modern p-5 sm:p-6"><h3 class="text-lg sm:text-xl font-semibold text-gray-900 mb-2">How can researchers collaborate with MI-RA Lab?</h3><p class="text-gray-700 leading-relaxed">Email [email protected] with aims, participant plan, consent approach, and required rooms. Use BookMyLab after the project is approved.</p></div></div></section><section class="mt-14" aria-labelledby="research-cluster-heading"><h2 id="research-cluster-heading" class="text-2xl sm:text-3xl font-bold text-gray-900 mb-4">Related MI-RA Lab pages</h2><ul class="grid grid-cols-1 sm:grid-cols-2 gap-3"><li><a class="block rounded-xl border border-gray-200 bg-white/80 px-4 py-3 text-primary-700 font-semibold hover:border-primary-400 hover:bg-primary-50/80 transition-colors" href="/volumetric-capture-india">Volumetric Capture Facility in India for Multimodal Human Data</a></li><li><a class="block rounded-xl border border-gray-200 bg-white/80 px-4 py-3 text-primary-700 font-semibold hover:border-primary-400 hover:bg-primary-50/80 transition-colors" href="/egocentric-data-collection-india">Egocentric Data Collection in India</a></li><li><a class="block rounded-xl border border-gray-200 bg-white/80 px-4 py-3 text-primary-700 font-semibold hover:border-primary-400 hover:bg-primary-50/80 transition-colors" href="/synchronized-multimodal-data-capture">Synchronized Audio, Video and Biosignal Data Capture</a></li><li><a class="block rounded-xl border border-gray-200 bg-white/80 px-4 py-3 text-primary-700 font-semibold hover:border-primary-400 hover:bg-primary-50/80 transition-colors" href="/multimodal-data-capture-facilities">Multimodal Data Capture Facilities: India and Global Approaches</a></li><li><a class="block rounded-xl border border-gray-200 bg-white/80 px-4 py-3 text-primary-700 font-semibold hover:border-primary-400 hover:bg-primary-50/80 transition-colors" href="/#raison-detre">
39Lab infrastructure and volumetric capture rig</a></li><li><a class="block rounded-xl border border-gray-200 bg-white/80 px-4 py-3 text-primary-700 font-semibold hover:border-primary-400 hover:bg-primary-50/80 transition-colors" href="/slot-booking">Book capture and annotation facilities</a></li></ul></section><section class="mt-12 card-modern p-6 sm:p-8"><h2 class="text-xl sm:text-2xl font-bold text-gray-900 mb-3">Collaborate with MI-RA Lab</h2><p class="text-gray-700 mb-4">Researchers and project teams can discuss capture protocols, ethics, and facility access with the lab. Booking is through BookMyLab after project review.</p><p class="text-gray-700">Email<!-- --> <a href="mailto:[email protected]" class="text-primary-600 font-semibold hover:underline">[email protected]</a> · <a class="text-primary-600 font-semibold hover:underline" href="/#contact">Contact and address</a> · <!-- -->IIT Mandi iHub and HCi Foundation, North Campus, VPO Kamand, District Mandi, Himachal Pradesh, India - 175075</p></section></div></article></main><footer class="bg-gradient-to-b from-gray-50 to-white border-t border-gray-200"><div class="container mx-auto px-4 sm:px-6 lg:px-8 py-6 md:py-8"><div class="grid grid-cols-1 sm:grid-cols-12 gap-5 sm:gap-6"><div class="sm:col-span-5 space-y-2.5"><img src="/imgcopy/logo/mira123.png" alt="MI-RA Lab" width="140" height="56" class="h-12 w-auto object-contain" loading="lazy"/><p class="text-sm leading-relaxed text-gray-600 max-w-md">MI-RA Lab (Multimodal Intelligence for Real-World Applications) is a human-centric multimodal data research and capture facility at IIT Mandi iHub and HCi Foundation, Mandi, Himachal Pradesh, India.</p><div class="flex space-x-2"><button type="button" disabled="" title="Facebook profile coming soon" class="w-8 h-8 bg-primary-50 text-primary-700 rounded-md flex items-center justify-center opacity-80 cursor-not-allowed" aria-label="Facebook (coming soon)"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-facebook w-4 h-4" aria-hidden="true"><path d="M18 2h-3a5 5 0 0 0-5 5v3H7v4h3v8h4v-8h3l1-4h-4V7a1 1 0 0 1 1-1h3z"></path></svg></button><button type="button" disabled="" title="LinkedIn profile coming soon" class="w-8 h-8 bg-primary-50 text-primary-700 rounded-md flex items-center justify-center opacity-80 cursor-not-allowed" aria-label="LinkedIn (coming soon)"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-linkedin w-4 h-4" aria-hidden="true"><path d="M16 8a6 6 0 0 1 6 6v7h-4v-7a2 2 0 0 0-2-2 2 2 0 0 0-2 2v7h-4v-7a6 6 0 0 1 6-6z"></path><rect width="4" height="12" x="2" y="9"></rect><circle cx="4" cy="4" r="2"></circle></svg></button><button type="button" disabled="" title="Instagram profile coming soon" class="w-8 h-8 bg-primary-50 text-primary-700 rounded-md flex items-center justify-center opacity-80 cursor-not-allowed" aria-label="Instagram (coming soon)"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-instagram w-4 h-4" aria-hidden="true"><rect width="20" height="20" x="2" y="2" rx="5" ry="5"></rect><path d="M16 11.37A4 4 0 1 1 12.63 8 4 4 0 0 1 16 11.37z"></path><line x1="17.5" x2="17.51" y1="6.5" y2="6.5"></line></svg></button><button type="button" disabled="" title="YouTube profile coming soon" class="w-8 h-8 bg-primary-50 text-primary-700 rounded-md flex items-center justify-center opacity-80 cursor-not-allowed" aria-label="YouTube (coming soon)"><svg xmlns="http://www.w3.org/2000/svg" width="24" height="24" viewBox="0 0 24 24" fill="none" stroke="currentColor" stroke-width="2" stroke-linecap="round" stroke-linejoin="round" class="lucide lucide-youtube w-4 h-4" aria-hidden="true"><path d="M2.5 17a24.12 24.12 0 0 1 0-10 2 2 0 0 1 1.4-1.4 49.56 49.56 0 0 1 16.2 0A2 2 0 0 1 21.5 7a24.12 24.12 0 0 1 0 10 2 2 0 0 1-1.4 1.4 49.55 49.5
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Technical claims on this page are limited to capabilities described on the\",\" \",[\"$\",\"$L5\",null,{\"href\":\"/#raison-detre\",\"className\":\"text-primary-600 hover:underline\",\"children\":\"lab overview\"}],\" \",\"and\",\" \",[\"$\",\"$L5\",null,{\"href\":\"/slot-booking\",\"className\":\"text-primary-600 hover:underline\",\"children\":\"BookMyLab facility pages\"}],\".\"]}]]}]}],[\"$\",\"div\",null,{\"className\":\"container mx-auto px-4 sm:px-6 lg:px-8 py-10 md:py-14 max-w-4xl\",\"children\":[[\"$\",\"div\",null,{\"className\":\"research-prose space-y-8 text-gray-800 leading-relaxed text-base sm:text-lg\",\"children\":[[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"Direct answer\"}],[\"$\",\"p\",null,{\"children\":[\"A multimodal dataset records more than one sensory or behavioural channel from the same eventsâtypically video plus audio, and sometimes motion, gaze, or physiology. MI-RA Lab at IIT Mandi is set up to \",[\"$\",\"em\",null,{\"children\":\"collect\"}],\" such data with Indian participants in a controlled facility. This website does not list released dataset names, clip counts, or download URLs. Treat MI-RA as a capture and annotation facility, not as a claim that no Indian multimodal data exists elsewhere.\"]}]]}],[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"What multimodal datasets are\"}],[\"$\",\"p\",null,{\"children\":\"In human-centric AI, âmultimodalâ means the model can see relationships across channels: what a person said, how their face moved, how their hands gestured, and, in some studies, how heart, muscle, or skin-conductance signals changed. Quality depends on temporal alignment, consistent metadata, honest consent, and annotation that matches the scientific question.\"}],[\"$\",\"p\",null,{\"children\":[\"Files dumped into one folder are not automatically a multimodal dataset. See\",\" \",[\"$\",\"$L5\",null,{\"href\":\"/synchronized-multimodal-data-capture\",\"children\":\"synchronized multimodal data capture\"}],\" \",\"for why a shared timeline matters.\"]}]]}],[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"Why Indian data matters â without claiming a vacuum\"}],[\"$\",\"p\",null,{\"children\":\"Indian languages, accents, faces, clothing, gestures, and indoor/outdoor environments differ from the populations that dominate many widely cited Western or web-scale corpora. Models trained only on those corpora can under-perform or misread Indian users. That is a representation and validity problem, not proof that âthere are no Indian datasets.â\"}],[\"$\",\"p\",null,{\"children\":[\"The gap MI-RA is built around, as stated on the lab overview, is that\",\" \",[\"$\",\"strong\",null,{\"children\":\"properly synchronized multimodal data is still rare and difficult to create\"}],\", especially when the subjects and situations are Indian. Speech-only or image-only Indian resources do not replace time-aligned video + audio + body/physiology for the same utterance or action.\"]}]]}],[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"Languages, accents, faces, gestures, and social interaction\"}],[\"$\",\"p\",null,{\"children\":\"A capture protocol can specify language, bilingual switching, regional accent, age range, and interaction type (read speech, conversation, instruction-following, affective tasks). Faces and gestures should be treated as demographic and cultural variables, not as a single âIndianâ template. Social interaction (two-person tasks, interviewerâspeaker setups) needs extra cameras, mics, and consent language; the multi-sensor room is described as reconfigurable for UX and interaction studies.\"}]]}],[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"Environments and physiological signals\"}],[\"$\",\"p\",null,{\"children\":\"The core chamber is anechoic and controlled. That is useful for clean speech and repeatable lighting, and it is a limitation for âdaily Indian situationsâ that happen in homes, streets, or noisy workplaces. Physiological channels (the site mentions EMG/EDA mounts on the volumetric rig; affiliate faculty pages discuss EEG, ECG, GSR, eye movement, and related sensors as research modalities) should be listed in the protocol and ethics applicationân
39ot assumed as a standing public inventory.\"}]]}],[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"Dataset quality: annotation, metadata, consent\"}],[\"$\",\"ul\",null,{\"children\":[[\"$\",\"li\",null,{\"children\":[[\"$\",\"strong\",null,{\"children\":\"Annotation.\"}],\" BookMyLab includes an\",\" \",[\"$\",\"$L5\",null,{\"href\":\"/slot-booking\",\"children\":\"Annotation Room\"}],\" for labeling and QA of vision, audio, and text.\"]}],[\"$\",\"li\",null,{\"children\":[[\"$\",\"strong\",null,{\"children\":\"Metadata.\"}],\" Session IDs, clock sources, sensor lists, language, task scripts, and calibration files should travel with the media. Without them, later fusion is guesswork.\"]}],[\"$\",\"li\",null,{\"children\":[[\"$\",\"strong\",null,{\"children\":\"Consent and privacy.\"}],\" Human recordings are personal data. MI-RA project intake includes ethics and review steps. This page is not legal advice; institutional ethics boards remain responsible.\"]}]]}]]}],[\"$\",\"section\",null,{\"children\":[[\"$\",\"h2\",null,{\"children\":\"Research applications\"}],[\"$\",\"p\",null,{\"children\":\"Aligned Indian multimodal data is used for speech and lip-reading under local accents, emotion and cognitive-load studies, gesture and activity models, accessibility interfaces, and embodied or HCI systems that must work for people in India. 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Access is by project review and BookMyLab booking. The lab does not publish a public download catalogue of finished datasets on this website.\"}]]}],[\"$\",\"div\",\"Do Indian multimodal datasets already exist?\",{\"className\":\"card-modern p-5 sm:p-6\",\"children\":[[\"$\",\"h3\",null,{\"className\":\"text-lg sm:text-xl font-semibold text-gray-900 mb-2\",\"children\":\"Do Indian multimodal datasets already exist?\"}],[\"$\",\"p\",null,{\"className\":\"text-gray-700 leading-relaxed\",\"children\":\"Yes. Speech, vision, and some multimodal corpora for Indian languages and identities already exist in academia and industry. 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