Native AI

Humans vs AI: Qualitative Research Cool research just published in the American Marketing Association's Journal of Marketing. Researchers at the University of Wisconsin-Madison tested just how well LLMs like ChatGPT perform in qualitative research - both in generating qualitative data (via LLM role-play vs. self-reported human data) and analysing it (extracting valuable insights). TL;DR: AI-powered qual is solid and can outperform human-only approaches in terms of insightfulness. But the best results came from a hybrid approach - combining human and AI-generated data with human and AI analysis. Arora, N., Chakraborty, I., & Nishimura, Y. (2025). AI-Human Hybrids for Marketing Research: Leveraging Large Language Models (LLMs) as Collaborators.?Journal of Marketing,?89(2), 43-70.

It’s no secret AI is today’s biggest innovation opportunity—but it won't truly make measurable impact until someone makes it useful. At Innovatemap, we get a front-row seat to what’s next. Working with 50+ companies a year, we see patterns others don’t, helping founders answer one big question: “How can I use AI to deliver real value?” Our approach is simple: product strategy and UX design working together to turn technical possibility into solutions people love. Calling out a few of our clients who are using AI to create real value for customers and drive business impact: - Satisfi Labs - Native AI - Barometer Because first-to-market doesn’t win—getting the experience right does. I’ve got a lot of thoughts on what’s happening at the intersection of AI and UX. Read the full rundown on our blog (link in comments)

?? We are excited to introduce our Batch 22 Brand & Retail startups! Meet the 10 innovative startups joining our Fall 2024 program. ____ Discover more about each startup below ?? ?Revenue Roll ?Scribe ?Native AI ?Butlr ?MarkOS ?Evolv AI ?Cocomo AI ?Lumi AI ?pass_by ?Tempo Stay tuned for more program updates, and congratulations to our startups! ?? Check out all of the startups from other verticals that were accepted: https://prn.to/4gTh9Hw ?? For introductions to any of these founders, please reach out to our Program Manager Roza Amrollah #PNPTCSiliconValley #PNPTC #Retail ?? ??

??Highlights from Our Silicon Valley Batch 22 Brand & Retail Selection Day! ?? On September 13th, we had the pleasure of hosting the Plug and Play Brand & Retail Selection Day at the Suntory Global Spirits New York Office! The day began with welcoming remarks from Christian Sassmann, Head of DX & Ventures at Suntory Holdings Limited. Following two insightful corporate reverse pitches, we organized more than 70 one-on-one meetings between 18 promising startups and our corporate partners. Thank you to all our corporate partners, startups, investors, and industry experts for joining us to celebrate and explore the latest innovations. Your participation was essential for the day’s success! We also want to thank our amazing team: Miranda Yuan An, Chandler Sinclair, MBA, Benjamin Brand, Roza Amrollah, Ignacio Miranda, and Emery Han. Startups that joined us: pass_by MarkOS Optiversal Hang SocialCrowd Raspberry AI MOGL Lumi AI Scoutbee Scribe Native AI Pactum AI Evolv AI Cocomo AI Aria Adrich Butlr Revenue Roll #Innovation #Startups #BrandandRetail #PlugandPlay #SelectionDay

We're proud to announce our partnership with Nichefire, the leader in cultural listening. Through our combined data, brands and researchers can see how trends are born and eventually make their way into purchase intent. Combining multiple types of data such as this greatly enhance the predictive power of Digital Twins, a major leap forward for #genAI for market research. https://lnkd.in/eFQDWsz8 #consumerinsights #marketresearch

Last month, I was honored to be invited to present at the ESOMAR: Art & Science of Innovation market research conference in Chicago. The event brought together hundreds of insights professionals from top global brands, research institutions, and technology companies. My presentation was on the topic of AI hallucination. It’s easy to spot hallucination in descriptive analytics use cases, such as regurgitating facts from a data set, but it becomes a lot trickier to pinpoint in predictive analytics and when using techniques such as Retrieval-Augmented Generation. Ultimately, what becomes most important in predictive analytics is the business outcome. What if we could train computers to “think” like humans, with an element of unpredictability? Could we achieve better outcomes at scale? Could the “randomness within reason” factor be the missing link to generating synthetic consumer response data that actually mirrors the intricacy and breadth of real human responses? Just like a human brain, computer natural language processing methods must include these four steps: 1. Interpreting the question 2. Retrieving relevant information from memory 3. Forming judgments 4. Composing the response The third step, forming judgments, is the most prone to bias both in humans and computers alike. But that’s also where the magic lies. If you’d like to learn more about how Native AI’s Digital Twins were built to mirror the four cognitive steps of the human brain, please get in touch!

“Hype can only take this industry so far. Soon, providers of AI technology and applications will need to prove value to partners in order to thrive, or they will not survive once the hype wears off.” -Frank Pica, CEO of Native AI Read more at https://lnkd.in/egs5QaNG #ai #genai #consumerinsights #marketresearch

We're thrilled to announce our new partnership with TraQline! TraQline's complementary data set truly amplifies our own value for brands and researchers in the durable goods category. Combining quantitative and qualitative signals will enable insights professionals to identify the underlying causes of purchase trends like never before. #marketresearch #consumerinsights #durablegoods

We're proud to have our co-founder and COO Sarah Sanders be featured by StartupCincy in this month's founder spotlight. It's a privilege to build community with other tech founders in both Cincinnati and New York.

We're excited to announce that our Digital Twins are getting a HUGE upgrade! Digital Twins are clones of consumers or market research participants. Using RAG (Retrieval-Augmented Generation), Digital Twins can reply with all of the knowledge and context of any connected data set, including predictive responses. Here's what's new: - Immediate chat-based responses, regardless of the audience size. - Digital Twins remember the context of the conversation and previous responses, allowing for follow-up questions. - Lots of new data visualization choices, displaying a breakdown of responses from the total audience. - and more! Check out our press release. https://lnkd.in/eiWix28g #generativeai #syntheticdata #marketresearch #consumerinsights