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Resources
Every online and mobile game developer is familiar with the basic equation for successfully monetizing a game: CPI < LTV (i.e. you need to be able to generate more revenue from your players than it costs to acquire them).
Artificial intelligence is transforming industries across the globe, and personal finance is no exception. The sheer scale of financial data – from one billion daily credit card transactions to the 130 million Americans with personal loans – requires powerful predictive capabilities for financial service providers to find true signals in such noisy data.
We're excited to announce our partnership with Snowflake, the Data Cloud, with the common goal to democratize machine learning (ML) in the enterprise.
Kumo.ai presents an entirely new approach to performing machine learning at scale, one that drastically simplifies the end-to process and accelerates time-to-value.
In our digital world, privacy is always top of mind for consumers, vendors, and regulators. The digital landscape is constantly changing with respect to consumer data as policies like GDPR enforce limited tracking, and even more so with the Apple iOS 14 update implementing ATT, which enforces new data sharing policies.
In today’s fast-paced world of ecommerce and online marketplaces, AI and predictive ML have become essential tools in allowing businesses to stay competitive and drive sustainable growth.
Effective customer outreach is challenging, and building an ML system to solve this isn’t exactly easy either.
ML-powered recommendations can be useful to your business in many ways. It can come in the form of a personalized homepage showing the user highly relevant content, or showing them a curated list of products they are most likely to be interested in.
One of the most important questions growth and GTM teams ask their data teams is - who are my most profitable customers and how can I get them to increase their spend?
Churn and retention models are useful to identify who is likely to stop using your product or service within a specified timeframe, say within the next week or month.