Phrasia

I’m happy to share that I am joining Phrasia as GM of North America. I have known co-founder Jeff Bradley since 2008 when, after reading one of my blog posts, he called me out of the blue to fly from Shanghai to Guangzhou to meet with his client P&G and introduce my social media insights company. We’ve been friends ever since.? More recently, I’ve been watching him grow his start up Phrasia into an impressive data analytics company with a great client base. I was even more impressed when I had a chance to partner with him on a project and saw what Phrasia can do up close. I’ve been working with unstructured voice of the consumer (or patient or employee) data since 2004 when I founded the first social media insights company in China (and maybe Asia). While I know the social media listening space, know the tech, know what kind of insights can be generated and know how they can be applied, I also see limitations. It is not a full set of voice of the consumer data and the tech still struggles enabling getting beyond a few interesting insights to enable actionable learning, especially at any scale (how many PPT slides are too much? How much manual review is necessary to discover insight which is based on actual data? How can we make the data valuable to the COO and CFO?) What I love about Phrasia is that it allows clients to DO so much more WITH so much more. We can pull in any set of unstructured data (including social, but also open-ended survey responses, app reviews, call center conversations…) and then use LLM-based narrative analysis to quickly decode a massive set of data into narrative clusters. ? The tech driving it is NOT Generative AI, which is built to say/write things. Rather, it is purpose built to leverage LLMs for narrative analysis of VOC data. It works with full transparency, with no hallucinations and goes beyond the obvious to find unusual/outlier signals which can be even more important. In short, I think with Phrasia, we are set to revolutionize the insights industry by providing a scalable, powerful, humanized approach to analyzing data.? I have the same feeling now that I had when I started in social listening…. we are on to something big.? There’s still so much for me to learn as I build on my experience, but I am stoked to do it with a great team, great tech and great clients. I’ll be sharing more here as I lean in and learn, but in the meantime, feel free to reach out if you would like to discuss. I’d love to reconnect with old friends, clients, partners to explore how we might work together.??

Join us for EuroCham’s End-of-Year Event: European Business Sentiment Report Presentation On Tuesday, December 10th, 2024, we’ll be gathering at GermanHub?, in Causeway Bay, to celebrate our achievements, build valuable connections, and look ahead to 2025 with exclusive insights from this year’s European Business Sentiment Report. Event Highlights: Report Presentation: Dive into the findings from the 2024 European Business Sentiment Report, exploring the trends, challenges, and opportunities for European businesses in Hong Kong. Expert Panel Discussion: Join industry leaders in a discussion titled ‘Business in Hong Kong 2025 — Challenges, Opportunities, and Outlook’ (details and line-up to be announced soon!). Networking Session: Connect with fellow members and strengthen our community as we approach the festive season. The 2024 European Business Sentiment Report is supported by narrative analytics from Phrasia.?The views expressed by our members and stakeholders – in their own words - offer valuable insight into the business landscape.?Deep-learning-based Narrative Analytics quantifies themes, patterns, and experiential drivers within the open-text responses to our business sentiment survey.?The same technology used by companies to get ahead of risk, customer experience, and financial market sentiment also offers EuroCham’s stakeholders a comprehensive view of the factors influencing the business landscape. We are grateful to our sponsors for making this event possible! Special thanks to MAN Truck & Bus Hong Kong as our Gold Sponsor, Phrasia for their support in narrative analytics and visualisation, and the German Chamber of Commerce, Hong Kong (GCC) for hosting us at GermanHub?. Date: Tuesday, December 10th, 2024 ? Time: 5:30 pm – 8:30 pm ? Venue: GermanHub?, 19/F, COFCO Tower, 262 Gloucester Road, Causeway Bay, Hong Kong Get your Early Bird tickets now on our website: https://lnkd.in/grk6uGsz We look forward to celebrating another successful year with you! Interested in partnership opportunities? Reach out on LinkedIn or our website! #EuroCham #EuropeanBusiness #BusinessNetworking #EuropeanCommunity #BusinessSentiment #YearEndEvent Ching-Yng Choi Victor Garnier Julia Haberl 茱莉 Arend Janssen I?aki Amate Anita Vogel Johannes Hack Stratos Pourzitakis, PhD Henry Au Kristian Odebjer Justin Campbell FBCS Paul McComb 麥冠明 Frederika (Frery) W. Laurent Doucet Alessandro Pedrinoni Alminas ?aldokas Joshua Miller Filip Ziolek Laura Herrera Insuela Benno Jaeggi

Are your tech partners and consultants still whining about data quality? If their tools are as powerful as claimed, why can't they handle messy data? Pointing at data quality is a great way for Gen AI providers to evade accountability for the fact that their tools are not sufficiently stable or reliable. As a result, you spend a lot of time and money to try to clean that data up, after which the tools still don't deliver as hoped. For a more powerful, reliable, efficient, non-hallucinating way to get value out of the ocean of unstructured data flowing in and around your business, call us. With 3 weeks and a sample of your messiest data, our LLM-based narrative analytics approach will transform your view of what's possible, without complex integrations. The choice is yours: keep running on the "Garbage in, Garbage out" hamster wheel, or demonstrate real, repeatable value. Phrasia, #narrativeanalytics, #BI, #GenAI, #Unstructureddata, #LLM's, #datacleaning, #dataquality

With the addition of 25 languages to Phrasia's narrative analytics capability last week - we forgot to mention Basque. For Spain, we now cover Spanish, Basque, Catalan, and Galician! #spain, #narrativeanalytics, #Euskara, #Català, #Galego, Phrasia