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The 4 Questions Startups Should Ask Themselves about Building with Generative AI

Tom Tunguz

There are 4 questions a startup should ask themselves about building a startup that uses generative AI. I presented those questions & my views on their answers at Saastr’s Workshop Wednesday. The last slide contains the prompts for the images in the presentation. I had a blast putting this deck together.

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The Impact of Generative AI on Software With Theory Ventures Founder & General Partner Tomasz Tunguz (Pod 650 + Video)

SaaStr

Generative AI has taken the world by storm, and VCs and SaaS founders are looking at new opportunities it can bring. Even considering the more conservative fundraising market in 2023, there are opportunities for startups to get investor attention with AI. Startups must determine an action plan with AI if they hope to grow.

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How IBM Sees AI Changing the Game for Companies of All Sizes with IBM’s VP of Technology and Director of Startups

SaaStr

How to scale AI across your business. How to advance trustworthy AI, i.e., compliance, security, and ensuring the AI software you put out there is responsible. There can be resistance to AI because of a lack of knowledge or skills, but change is inevitable. Key Takeaways AI presents an unprecedented opportunity.

AI 293
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Growing a Digital Goods Company in Asia: Challenges, Opportunities, and Insights

FastSpring

In simple terms, we handle everything from payments to fraud management, to custom support and tax compliance, so that sellers can focus on growing their business. However, the Digital Good space, particularly in SaaS and general entertainment, actually presents new opportunities with higher margins and a huge greenfield potential.

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Clouded Judgement 3.22.24 - ERR vs ARR and the Conundrum of AI Revenue Streams Today

Clouded Judgement

First, it models out the annual cash flow of a businesses (say 10 years out), and discounts the future value of those cash flows back to present value (this is why software businesses are sensitive to interest rates - as rates go up, so does the discount rate). ” They’ll look at things like cost, scalability, compliance, etc.

AI 190
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The Power of Gen-AI in Regulatory Compliance

Scytale

Regulatory Compliance is Tough – But so is GenAI Although regulatory compliance can be straightforward with the right tools , for many organizations, navigating a labyrinth of complex regulations can be daunting. So, why is regulatory compliance so challenging? Understanding GenAI What is Generative AI?

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14 Data Analytics Trends for 2024: What You Can’t Ignore

User Pilot

Generative AI : Generates diverse media types, assisting in strategy creation, predictive modeling and product development, impacting content marketing and customer service. Data security and privacy : Addresses increasing data breaches and cybercrimes, emphasizing the importance of robust data governance and compliance.

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