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A Technical Deep Dive Into Building AI Products for the Enterprise with Contextual AI’s CEO Douwe Kiela

SaaStr

At SaaStr AI Day, Contextual AI’s CEO, Douwe Kiela, deep dives into what it takes to build AI products for the Enterprise. The first half of this article is a more academic look at the best approach for building AI products for the Enterprise. There’s no Machine Learning happening here, just off-the-shelf components.

AI Search 257
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The new dawn of Machine Learning

Intercom, Inc.

GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” AI has been quite overhyped in the past. Paul, how are you?

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The Art of Product Management in the Fog of AI

Tom Tunguz

Product managers & designers working with AI face a unique challenge: designing a delightful product experience that cannot fully be predicted. However, with AI, the rules have changed. How does one design a product experience in the fog of AI? Traditionally, product development followed a linear path.

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Revolutionizing Revenue: What is the Role of AI and Machine Learning in Agile Monetization?

Blulogix

Revolutionizing Revenue: What is the Role of AI and Machine Learning in Agile Monetization? This blog post delves into how AI and ML are shaping the future of agile monetization, enhancing the way businesses approach billing, customer engagement, and revenue optimization.

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How to Leverage Customer Insights AI to Grow Your SaaS Product

User Pilot

In this article, we look at how you can use AI to gain in-depth customer insights and how to leverage them to improve the product. We also share a few tools that can help you harness the power of AI to offer a better customer experience. AI technologies power automation which increases team efficiency and productivity.

AI Search 102
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IBM’s Arin Bhowmick on designing ethical AI

Intercom, Inc.

took over the company in 1952 and decided to make his mark through modern design, they’ve become the single largest design organization in the world, with over 1500 designers working in innovative products from machine learning to cloud to file sharing. For Arin, explainability is a key element when it comes to ethical AI.

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Improving AI

Andreessen Horowitz

This conversation is part of our AI Revolution series, which features some of the most impactful builders in the field of AI discussing and debating where we are, where we’re going, and the big open questions in AI. Find more content from our AI Revolution series on www.a16z.com/AIRevolution.

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