Remove Document Remove Experimentation Remove Statistics Remove Testing
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AI poised to replace entry-level positions at large financial institutions

CIO Business Intelligence

Large banking firms are quietly testing AI tools under code names such as as Socrates that could one day make the need to hire thousands of college graduates at these firms obsolete, according to the report.

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Bringing an AI Product to Market

O'Reilly on Data

Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Without clarity in metrics, it’s impossible to do meaningful experimentation. Ongoing monitoring of critical metrics is yet another form of experimentation.

Marketing 361
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What Are ChatGPT and Its Friends?

O'Reilly on Data

It’s by far the most convincing example of a conversation with a machine; it has certainly passed the Turing test. And it can look up an author and make statistical observations about their interests. Be very careful about documents that require any sort of precision. Again, ChatGPT is predicting a response to your question.

IT 258
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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language. Here are some areas where organizations are seeing a ROI: Text (83%) : Gen AI assists with automating tasks like report writing, document summarization and marketing copy generation.

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Performing Non-Compartmental Analysis with Julia and Pumas AI

Domino Data Lab

Domino Lab supports both interactive and batch experimentation with all popular IDEs and notebooks (Jupyter, RStudio, SAS, Zeppelin, etc.). Once all packages have been imported, we can move on to loading our test data. We can group by study arm and calculate various statistics as mean and standard deviation. References. [1]

Metrics 59
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Knowledge

Occam's Razor

Convert Data Skeptics: Document, Educate & Pick Your Poison. Five Reasons And Awesome Testing Ideas. Lab Usability Testing: What, Why, How Much. Build A Great Web Experimentation & Testing Program. Experimentation and Testing: A Primer. Tip #9: Leverage Statistical Control Limits.

KPI 124
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The Lean Analytics Cycle: Metrics > Hypothesis > Experiment > Act

Occam's Razor

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. Testing out a new feature. If you have access to existing data, take some time to document what the current performance looks like. Identify, hypothesize, test, react. But it is not routine.

Metrics 156