Analyse Podcast discusses Roche: tech adoption

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  "signal_type": "podcast-company",
  "signal_subtype": "techAdoption",
  "detected_at": "2026-08-24T10:25:01+00:00",
  "company": {
    "name": "Roche",
    "domain": "roche.com"
  },
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    "quotes": [
      "One of the best use cases we've found is coming from Roche. Roche is a big pharmaceutical company. One of the people working in their legal department, so in charge of patents, has taken a task to completely revamp how his team is operating with making decisions around patentability and answering requests from different law firms.",
      "It's an interesting idea in terms of that timeline because we obviously work with Roche but with other pharmaceutical companies too who are at different stages of that thinking.",
      "another customer example is Roche where they put the people really at the heart of their AI research assistant that they call Lex... with Lex, which they built on Dataiku, the patent attorneys built on Dataiku, their research tools are now consolidated into a single agent. and attorneys get answers in seconds instead of hours, saving hundreds of thousands of dollars annually in attorney time."
    ],
    "timing": "ongoing_state",
    "speaker": "Sophie Dionnet",
    "evidence": "One of the best use cases we've found is coming from Roche. Roche is a big pharmaceutical company. One of the people working in their legal department, so in charge of patents, has taken a task to completely revamp how his team is operating with making decisions around patentability and answering requests from different law firms.",
    "headline": "Roche · techAdoption · ongoing_state (2026-07)",
    "episode_id": "58278282331",
    "event_date": "2026-07",
    "episode_url": "https://podcasters.spotify.com/pod/show/analyseasia/episodes/The-Three-Ingredients-That-Turn-AI-Into-Value-with-Sophie-Dionnet-e3mnjj5",
    "podcast_name": "Analyse Podcast",
    "published_at": "2026-07-29",
    "episode_title": "The Three Ingredients That Turn AI Into Value with Sophie Dionnet",
    "date_confidence": "inferred",
    "speaker_relation": "counterparty",
    "transcript_source": "transcript",
    "recorded_at_estimate": "2026-07"
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