Tom Tunguz
NOVEMBER 8, 2023
At the IMPACT Summit yesterday, I shared our Top 10 Trends for Data in 2024. LLMs Transform the Stack : Large language models transform data in many ways. First, they have driven an increased demand for data and are causing a complete architecture inside companies.
User Pilot
DECEMBER 20, 2023
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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User Pilot
JANUARY 14, 2024
Greater integration of artificial intelligence and machine learning technologies Artificial Intelligence has been a part of the product management landscape for at least a couple of years now. Tuning large-scale LLM models is very different than core product for a news feed.
Neil Patel
NOVEMBER 3, 2021
The good news is data labeling is scalable when you work with the right data labeling software. You can decrease overall costs while improving efficiency and machine learning processes with the right platform on your side. Of course, how you use this labeled data is just as important as how it’s done.
SmartKarrot
APRIL 17, 2023
Understanding the basics of AI chatbots An artificial intelligence chatbot is a computer program designed to converse with users through text-based or voice-based interfaces, using Artificial Intelligence (AI) technologies such as Natural Language Processing (NLP) and Machine Learning (ML).
Unbounce
MAY 16, 2023
Artificial intelligence can help you handle many tasks quickly, easily, and in bulk. In the simplest terms, social media AI refers to tools that can simulate human intelligence to automate and optimize aspects of social media marketing. Data analysis is a crucial aspect of social media management—and AI can help with that, too.
User Pilot
JANUARY 26, 2021
With your customer expectations already detailed, it is important to see where your journey either exceeds or falls short of their mental model. Most SaaS customers expect next-level customer support any-time they run into an issue with a product. Step 3-Take action to fix what you discover from your analysis.
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