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What is AI orchestration? A guide to intelligent systems

The Zapier Blog

Traditional AI deployments often create silos—your chatbot doesn't know what your recommendation engine is doing, and your data analysis tool can't share insights with your automation platform. "), and manually shuttling information between them is inefficient. It's like agentic AI , but automated.

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IdeaPAD case study: How do you define and build value for an existing product?

Paul G. Silva

The PixelEdge] workshop and canvasses provided an easy structured framework to work through our evaluation and customer discovery process. Client Business Information Director Problem A leading data aggregator for an entertainment sector came to PixelEdge to help maximize one of their offerings.

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How to Invest in Web3: A Beginner’s Roadmap

Angel Capital Association

builds upon the principles of the semantic web, linking decentralized data to create more meaningful and valuable connections between information on the web. More than just a platform for cryptocurrencies, it’s a groundbreaking approach for data storage and management. s nature is blockchain technology. s functionality.

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Meme Mapping: Learn to Run Better Creative Tests by Reverse-Engineering Hollywood

Reforge

Most every marketer is familiar with A/B testing, but few have a consistent framework for prioritizing what to test. The color red has also often been associated with impulse purchases, for example data from ebay shows a red background triggers more aggressive bidding in auctions. Your eyes act as a spotlight for your attention.

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With open banking on the horizon, the fintech-SME love story is just beginning

TechCrunch

Though the early years of fintech have taught us that consumers are pretty relaxed when it comes to giving up their data — with some studies indicating that almost 60% of Americans choose fintech over privacy — the type and volume shared through open-banking frameworks is much more extensive than the products we have seen up until now.

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Bayesic Technologies Improves Effectiveness and Efficiency of Data Analysis in Healthcare

Innovation 2 Enterprise

The Bayesian approach provides a framework for combining known information with new data to better inform decision-making. It depends on probability distributions rather than specific data points. Bayesian analytics is a powerful decision-making tool that requires special expertise.

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Seqera Labs grabs $5.5M to help sequence COVID-19 variants and other complex data problems

TechCrunch

Taken together, these millions of tests represent a goldmine of information about the coronavirus and how it is mutating, and when and where it is doing so. For a new virus about which so little is understood and that is still persisting, that’s invaluable data.