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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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Usage as the Moat in AI

Tom Tunguz

As generative AI captivates Startupland, startups will do what they have always done: integrate new technology to build transformative businesses. Incumbents have seized the moment with Microsoft, Adobe, & others integrating generative AI into their products quickest. What are these moats? More users means a better product.

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The AI Agency - A Novel GTM for Machine Learning SaaS Startups

Tom Tunguz

This concentration limits the market size, but improves product market fit. I’ve started to call them AI Agencies. AI Agencies use machine learning to disrupt a market dominated by agencies. Often, these startups begin as software companies selling machine learning software into agencies.

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5 Examples of How Machine Learning Can Improve your Healthcare SaaS Product

SaaStr

Now more than ever, these past few months have shown us just how vital it is for health systems to be able to meet the demands of the market. In fact, it was reported that $4 billion was invested in the AI healthcare sector in 2019, up from $2.7 When the healthcare system is not able to serve properly, precious lives are lost.

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10 Ways Customer Data & Machine Learning Can Enhance Customer Experience

User Pilot

Machine learning is a trending topic that has exploded in interest recently. Coupled closely together with Machine Learning is customer data. Combining customer data & machine learning unlocks the power of big data. What is machine learning?

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How to Use Machine Learning to Improve Your Digital Marketing

Neil Patel

Machine learning is on the verge of transforming the marketing sector. According to Gartner , 30% of companies will use machine learning in one part of their sales process by 2020. In other words, machine learning isn’t just for computer scientists. Marketers should sit up and take notice.

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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.