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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. Challenge #1: How can I acquire data in order to train my health product’s machine learning model? 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 ChatGPT Will Restructure Engineering Teams & Create Opportunity for Startups

Tom Tunguz

As machine learning becomes core to every product, engineering teams will restructure. In the past, the core engineering team & the data science/machine learning teams worked separately. LLM-features should contribute directly to revenue via upsell & market share, quieting questions.

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Best Marketing Analytics Software for SaaS

User Pilot

Is your team struggling to determine the return on investment (ROI) of product marketing strategies? Or are you looking for ways to improve the performance of your marketing campaigns? In either case, marketing analytics tools can come to your rescue. That, in turn, helps optimize your marketing strategies and budget allocation.

Software 105
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Best Examples of AI in Marketing: Tools & Best Practices

User Pilot

Artificial intelligence is revolutionizing our everyday lives, and marketing is no different, with several examples of AI in marketing today. Marketers are now making AI an integral part of their marketing strategies. This article examines what artificial intelligence in marketing looks like today.

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Market Gaps: 10 Ways to Spot Untapped Customer Needs

User Pilot

How do product managers identify market gaps? TL;DR Market gaps are the disparities between what customers need and want , and what the market can deliver. A market gap can be caused by missing functionality or poor user experience. Before implementing the ideas to fill market gaps, validate them thoroughly.

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How AI in analytics is transforming the way marketers work

Unbounce

The more AI observes, the more it learns and improves. The never-ending evolution of AI-driven analytics is revolutionizing how marketers (like you!) We’re gonna explain the who, what, when, where, and why of AI analytics in marketing. How is AI used in marketing? How is AI data analysis used in marketing?