Karen Pattani, MBA

When I think about Shutterstock’s evolution, this milestone really stands out. Our new AI Services for model builders brings together what we do best: rich, rights-cleared data layered with global expertise and a deep understanding of how human creativity shapes machine intelligence. I’m incredibly excited about the work our Data & AI Services team is doing to move the industry forward - and proud that Shutterstock continues to show up (and keep up!) for our amazing, innovative partners. Learn more here: https://lnkd.in/eQp3NF9b

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Amazon Music has introduced an AI-powered search tool in beta for US subscribers, aiming to enhance music discovery through contextual search and curated content generation. The feature leverages Amazon Bedrock’s integration with foundation models from Anthropic, Meta, Stability AI, and others. It enables users to generate playlists and uncover deeper insights into artists’ catalogs, solo projects, and collaborations, moving beyond standard keyword-based search. While the initial rollout is limited to select artists, it marks another step forward in how DSPs are incorporating generative AI to deepen personalization and drive user engagement.  https://lnkd.in/euUsjnqk  👉 Interested in how AI transforms music discovery and streaming platform strategies? Check out my recent article, where I explore 7 music streaming trends to watch in 2025: https://lnkd.in/eQ4CbH-7  #DataArt #DataArtMedia #MusicIndustry #AmazonMusic #StreamingTrends #MusicDiscovery  

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Thrilled to welcome 5 incredible startups to our AI Cohort 2026, a partnership between the Google AI Futures Fund and Accel Atoms 🚀 Selected from 4k+ applicants, these founders are building with our frontier models and compute. It was fantastic kicking things off last week with Josh Woodward and our DeepMind team. (Special thanks to Parul Tyagi!) Meet the cohort driving AI transformation across industries: Dodge AI: AI agents modernizing large-scale ERP environments. Zingroll: AI-native entertainment streaming platform. LevelPlane.ai: Automating sourcing decisions for global OEMs. Persistence: High-fidelity enterprise voice AI. K-Dense Inc.: AI Co-Scientist for life sciences research. We can't wait to see them scale from India to the world. Read more about the cohort here: https://lnkd.in/e4QzR7pp #AIFF #GoogleDeepMind #AIstartups #AccelAtoms

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Making the invisible visible. Episode 4 is where visibility stops being only awareness and starts becoming infrastructure. Michael J. Fox lived inside the gap between early symptoms, diagnosis, disclosure, and research direction. That gap matters because Parkinson’s may be moving in the body before the world knows how to see it. By the time the disease becomes visible, the question is not only what has changed in the body. It is what can be built from that visibility. This episode follows how public attention can become research structure: foundation building, patient participation, data, biomarkers, trials, and scientific momentum. Dr. Minna Schmidt’s scientific section connects that structure to the Braak hypothesis, alpha-synuclein aggregation, and body-first versus brain-first Parkinson’s. Buck Institute for Research on Aging, The Michael J. Fox Foundation for Parkinson's Research

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ZeroToOne.AI's predictive intelligence is now live inside HorizonOS, Horizon Media's marketing platform. The shift we're driving: target who will act next, not who already did. Pilot results: +48% visitation efficiency, +55% ROI vs baseline, measured against holdouts. Short prediction windows. Signals fed directly into bidding and targeting, not a dashboard. John Koenigsberg and the Horizon Media team cover what this looks like in practice in MarTech Pulse.

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Building fair and accurate AI takes purpose, courage and collaboration. Research scientist Jamelle Watson-Daniels shares five career lessons from her journey studying algorithmic fairness and the social implications of machine learning at Meta FAIR: https://bit.ly/46JJQDh #LifeAtMeta #MetaCareers #AI #Research #CareerTips

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The era of AI experimentation is over; the era of implementation is here. We aren’t just reacting to this shift in wealth and asset management...we’re spearheading it. Today’s a big day for Addepar. Get ready to meet Addison.

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Hot off the press: Creative Fabrica, a leading content platform and digital marketplace for everyday creators, today announced a new collaboration with Google Cloud to accelerate its global growth and drive AI innovation in content creation. 🚀 By leveraging Google Cloud’s Gemini Enterprise Agent Platform and latest AI models, Creative Fabrica is enhancing its creative platform to provide its 20 million-strong global community with professional-grade, AI-driven tools that bridge the gap between imagination and execution. Get all the details, here → https://lnkd.in/dC8CPxQN

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The challenge: Generative AI is everywhere, but too little of it is grounded in real, everyday utility. The solution: This Fox Business segment highlights exactly where AI delivers its greatest value—when it disappears into the experience and makes life easier in the moments that matter. Keyvan Mohajer lays out a compelling vision for in-vehicle generative AI at CES: natural voice interactions that let drivers reserve restaurants, find parking, and complete commerce safely, hands-free, and in real time. This is AI moving beyond demos and copilots into true ambient intelligence. A strong watch for anyone interested in where voice, commerce, and generative AI intersect in the real world. https://lnkd.in/g6dXgs7p

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What’s one domain outside your core expertise that has become a hidden advantage? I’ve been thinking about that idea lately after joining a Davos session hosted by Adam Grant and astrophysicist Priya Natarajan on how scientific breakthroughs often depend less on raw intelligence and more on the ability to see what others overlook. Galileo, for instance, wasn’t the first to see mountains on the moon. But because he was trained in drawing, he had the interpretive skill to understand what he was looking at and the implications. Grant pointed out that Nobel Prize winners are far more likely to have artistic hobbies like music, painting and writing. Those pursuits strengthen pattern recognition and creative insight. Here’s what I took away: - There’s a real advantage to being “dangerous” in more than one domain. Galileo had depth in multiple areas (draftsmanship, engineering, mathematics), which gave him the ability to recognize implications others missed. - Serendipity favors the prepared mind. Breakthroughs aren’t random — they reward those who have built enough context and skill to recognize significance when it appears. - Weak signals matter. Early anomalies and subtle inconsistencies are often dismissed. The ability to pause and examine what doesn’t quite fit is often where insight begins. I’ve always valued cross-disciplinary learning, but this conversation reframed it: in a world that rewards specialization, the edge often belongs to those who can integrate distinct disciplines. Image: Galileo’s sketches of the moon that was published in Sidereus Nuncius in 1610

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How do newsrooms thrive when traditional revenue models shift? The Local Media Association (LMA) found a path forward by empowering publishers to secure philanthropic funding. The results of their Lab for Journalism Funding are a testament to the community's desire for quality news: 194 local publishers were equipped with the tools to build pitch decks and write grant applications. Collectively, these organizations raised $35 million in philanthropic revenue. Georges Media Group in Louisiana expanded from 3 to 25 philanthropy-funded reporter positions. By identifying and pursuing these new revenue streams, these publishers are securing their future and the health of their local information ecosystems. Read more in the 2025 Google News Impact Report. https://lnkd.in/eV-ZNVus

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Hearing the conversations coming out of Davos this year made me wonder: How do we truly invest in people amid so much change? AI is forcing us to confront this question. Research from Cisco shows that only 13% of companies are ready to capture their value, and it has nothing to do with the technology itself. These companies are different because they have leaders who show up, experiment, and help their teams see AI as a tool, not a threat. Employees whose managers actively model AI use are twice as likely to engage, show 40% higher retention, and receive double the promotion recommendations. It makes me pause: Are we really giving our people the space to explore, learn, and grow? How do we preserve creativity, judgment, and human connection when 40–60% of jobs may be touched by AI in the next two years? I don’t have all the answers, but curiosity, reflection, and thoughtful leadership feel like the right place to start.

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I started AI Change Desk because I kept seeing the same pattern: AI gets announced like a tool… but it behaves like an operating shift. If the org doesn’t change with it, people improvise, and risk drifts. So this show is built to do two things: 1. translate AI news into what it means for real teams, and 2. turn that into an action plan you can run next week. Episode 1 is a short launch edition and includes the 4D Desk Memo framework I use for rollout decisions: Decision, Data, Drift, Deployment. https://lnkd.in/g52-YdDZ Clear disclosure: AI-assisted scripting, authorized voice synthesis, and publishing automation are used in production. I’m still accountable for the content, and nothing publishes without my review. If you’re leading AI adoption (or being voluntold to), I made this for you.

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Technology should expand opportunity—especially for people and communities that have too often been left out of new innovation. Today, Meta is launching the AI Glasses Impact Grants to support U.S.-based organizations using AI glasses to drive real-world societal and economic value—from accessibility and education to health, community support, and veterans’ services. I’m especially encouraged by the practical, “in-the-moment” ways wearables can help people stay present while getting what they need—hands-free, in real time. We’ve already seen examples like: Farmers accessing real-time insights about their crops Athletic trainers capturing injury notes hands-free on the field Universities making filmmaking and collaboration more accessible for students If your organization is building (or scaling) work like this—or you know someone who is—I hope you’ll apply and share. Applications are open now and close March 9, 2026. https://lnkd.in/dnw_53Nq https://lnkd.in/dRWaVXZi

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75% of C-suite leaders concede their AI strategy is "more for show," 61% admit employees were left to figure it out on their own, and 79% say AI applications are being built in silos. https://lnkd.in/gwvkFFAd

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Thanks TechRadar Pro for spotlighting Benjamin Barrier's insights on navigating the AI-powered web. His core message is clear and powerful: organizations must move beyond identity-based detection and lean into intent-based cybersecurity. In a world where traffic is made up of human and bot identities, knowing WHY traffic interacts with your platform is paramount. He outlined that: 🤯 DataDome saw nearly one billion requests from OpenAI-identified crawlers per month last quarter 💡 To succeed, teams must: ⏩ Reaudit and reframe how they think about non-browser traffic. ⏩ Replace static rules with dynamic, context-aware defenses. ⏩ Define consistent access policies for AI agents—which roles are welcome, under what conditions. https://lnkd.in/gfWmV-k6

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AI adoption can vary significantly across teams, from the optimize-at-all-costs early adopters to those that grapple with the broader implications of a rapidly evolving technology. Developing an AI ethics manifesto can help align these divergent viewpoints. https://lnkd.in/d7pMjFrK

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This is a must-watch. We are offering an alternative AI to people who are worried about what is happening to their personal data without their permission.

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