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Every AI product team has a “moonshot project,” and most are set up for failure. For the Airtable team, it’s the Q&A project - a way to ask questions about your data. But like most moonshot AI projects, this one has many hidden layers of complexity. What if you don’t have the right data in the system? What if the data schema is nuanced in a way that only the team understands it? Leaving these issues unsolved can create a terrible experience for users. To solve this, Chelsey Tanaka suggests creating an AI experience that makes it clear to users what the AI knows when it’s making decisions. This way, users will have fair expectations for what their AI can do instead of setting it up for failure.
Chelsey Tanaka shares her experience navigating Airtable’s moonshot – the Q&A project. What is your company’s moonshot project? Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/3SO397T • Spotify: https://buff.ly/49pnA03 • Apple Podcasts: https://buff.ly/3ukwfSS
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What’s the easiest way to increase the NPS of your AI product? Guide users through the experience. Be transparent about what your AI is doing and level-set expectations. Transparency is powerful in that it makes your users want to work WITH the AI. Not just expect it to magically solve their problems.
Chelsey Tanaka shares her experience navigating Airtable’s moonshot – the Q&A project. What is your company’s moonshot project? Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/3SO397T • Spotify: https://buff.ly/49pnA03 • Apple Podcasts: https://buff.ly/3ukwfSS
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How do you deal with AI product concerns when selling to enterprise customers? Chelsey Tanaka shares two tactics that the Airtable team successfully used: 1️⃣ Give customers the option of using AWS-hosted models 2️⃣ Renegotiate vendor contracts with model providers to ensure zero data retention & training on data
Nudging enterprises to adopt GenAI products can be a daunting task, but Airtable's Chelsey Tanaka offers a tried-and-true solution 👇 Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/3SO397T • Spotify: https://buff.ly/49pnA03 • Apple Podcasts: https://buff.ly/3ukwfSS
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#NEWBLOGPOST ❗Mic Drop: Why Podcast Studios Are Booming. In a world dominated by earbuds and audio streaming, the podcast industry is not just growing—it’s booming. Did you know that there are over 2 million active podcasts and more than 48 million episodes floating around in the digital soundscape? As the demand for quality content rises, so does the need for professional podcast studios. Read more here https://buff.ly/3wUB4mU #podcastevents #eventblog #corporateevents #eventideas #eventtips #toptips #hacks #eventhacks #eventplanning
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In the competitive world of AI products, differentiation is key. Yasser Elsaid's company, Chatbase, has successfully navigated this crowded marketplace by focusing on what sets it apart from the competition over time. These features include: 1/ Advanced Analytics to give businesses deep insights into chatbot interactions. 2/ Lead Generation Engine to help users convert interest into actionable leads. 3/ Accuracy and Innovation to mitigate this issue, striving for the highest accuracy in chatbot communication despite the limitations of current language models. This strategic approach to differentiation — through advanced features, a focus on accuracy, and forward-looking technology adoption — illustrates how Chatbase has carved a unique space for itself in the AI industry, offering a compelling example of how to stand out in a crowded market.
Chatbase stands out in a crowded room. Here's how your product can too 👇 🎙 Yasser Elsaid, Founder of Chatbase | Haroon Choudery Check out the full episode on your favorite streaming platform! • Youtube: https://buff.ly/3UTnbPN • Spotify: https://buff.ly/3TdcoyD • Apple Podcasts: https://buff.ly/3Iega4k
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Marketing Communications and ABM strategy using B2B thought leadership content creation for B2B SaaS, BFSI, Management Consulting & VC firms | NoCode Writer Get Content Marketing Strategy Case Studies in my Newsletter ⏬
TIL - Apple podcast app gives better podcast listening experience than others streaming apps. Fav thing? ---- Loved the transcripts feature as the episode plays. I can copy and travel through sections. I can even search through transcripts. So cool. 😋 #podcastandchill
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How should GenAI applications address privacy & security concerns? 1/ Use Amazon Bedrock's AWS-hosted models to have them share some of the responsibility for privacy and security. Leveraging the credibility of a tech giant like Amazon can go a long ways. 2/ Negotiate data retention agreements that prioritize protecting customer data from being used for model training. Enterprises are generally very paranoid about this. Bonus: AI startups should prioritize obtaining SOC-2 compliance ASAP. It is highly unlikely to secure large enterprise contracts without it.
Nudging enterprises to adopt GenAI products can be a daunting task, but Airtable's Chelsey Tanaka offers a tried-and-true solution 👇 Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/3SO397T • Spotify: https://buff.ly/49pnA03 • Apple Podcasts: https://buff.ly/3ukwfSS
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If you're building AI products, you should be constantly trying new things. Logan Kilpatrick says you have to essentially go and figure out best practices for yourself. What works for one use case might not work for another. Try things for yourself and see what works.
OpenAI's Logan Kilpatrick discusses industry best practices ⚡ Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/47HlUOx • Spotify: https://buff.ly/3Sdf6lM • Apple Podcasts: https://buff.ly/3OgtGIh
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What to own vs. borrow for GenAI product development 🪄 You need to OWN understanding of your ICP. Build an intimate understanding of your users' pain points + what UX will best serve their needs. Once you understand your users well, you can BORROW from prior art to implement the most appropriate techniques to help you better serve the use cases you’re going after. Start with user pain points, and the best path forward will increasingly become self-evident.
OpenAI's Logan Kilpatrick discusses industry best practices ⚡ Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/47HlUOx • Spotify: https://buff.ly/3Sdf6lM • Apple Podcasts: https://buff.ly/3OgtGIh
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Foundation models are literally BUILT DIFFERENT 💪 Let’s say: 1/ You’re comparing models 1 and 2, and 2/ You’re testing prompt x, You CAN’T just conclude model 1 is better because output 1x is better. Maybe the “winner” would be different for prompt y? Maybe 2y is better than 1x? Building with AI is an art and a science. You have to build an intuition for these models for added ~finesse.
What is a model’s love language? According to Jason Liu, it isn’t words of affirmation or acts of service but simply spending quality time 👫🤖 Check out the full episode on your favorite streaming platform! • YouTube: https://buff.ly/3HAmZwO • Spotify: https://buff.ly/3Sg8rr3 • Apple Podcasts: https://buff.ly/3HAYBLF
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