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Best Python Tricks in Jupyter Notebook

Analytics Vidhya

When it is combined with Jupyter Notebook, it offers interactive experimentation, documentation of code and data. Introduction Python is a popular programming language for its simplicity and readability. This article discusses Python tricks in Jupyter Notebook to enhance coding experience, productivity, and understanding.

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Where CIOs should place their 2025 AI bets

CIO Business Intelligence

Build toward intelligent document management Most enterprises have document management systems to extract information from PDFs, word processing files, and scanned paper documents, where document structure and the required information arent complex.

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Escaping POC Purgatory: Evaluation-Driven Development for AI Systems

O'Reilly on Data

ML apps needed to be developed through cycles of experimentation (as were no longer able to reason about how theyll behave based on software specs). The skillset and the background of people building the applications were realigned: People who were at home with data and experimentation got involved! How will you measure success?

Testing 168
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Answers: Generative AI as Learning Tool

O'Reilly on Data

It is important to be careful when deploying an AI application, but it’s also important to realize that all AI is experimental. Using RAG begs the question: where do the documents come from? Another AI model that has access to a database of our platform’s content to generate “candidate” documents.

Modeling 337
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CIOs to spend ambitiously on AI in 2025 — and beyond

CIO Business Intelligence

Nate Melby, CIO of Dairyland Power Cooperative, says the Midwestern utility has been churning out large language models (LLMs) that not only automate document summarization but also help manage power grids during storms, for example.

ROI 137
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Bringing an AI Product to Market

O'Reilly on Data

Without clarity in metrics, it’s impossible to do meaningful experimentation. AI PMs must ensure that experimentation occurs during three phases of the product lifecycle: Phase 1: Concept During the concept phase, it’s important to determine if it’s even possible for an AI product “ intervention ” to move an upstream business metric.

Marketing 364
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Business Strategies for Deploying Disruptive Tech: Generative AI and ChatGPT

Rocket-Powered Data Science

Since ChatGPT is built from large language models that are trained against massive data sets (mostly business documents, internal text repositories, and similar resources) within your organization, consequently attention must be given to the stability, accessibility, and reliability of those resources. Test early and often.

Strategy 290