Remove Modeling Remove ROI Remove Statistics Remove Uncertainty
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What you need to know about product management for AI

O'Reilly on Data

All you need to know for now is that machine learning uses statistical techniques to give computer systems the ability to “learn” by being trained on existing data. Machine learning adds uncertainty. The model is produced by code, but it isn’t code; it’s an artifact of the code and the training data.

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Humans-in-the-loop forecasting: integrating data science and business planning

The Unofficial Google Data Science Blog

Others argue that there will still be a unique role for the data scientist to deal with ambiguous objectives, messy data, and knowing the limits of any given model. This classification is based on the purpose, horizon, update frequency and uncertainty of the forecast. This defines the ROI on the investment of human time.

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13 IT resolutions for 2024

CIO Business Intelligence

CIOs are readying for another demanding year, anticipating that artificial intelligence, economic uncertainty, business demands, and expectations for ever-increasing levels of speed will all be in play for 2024. But at the end of the day, it boils down to statistics. Statistics can be very misleading.

IT 144
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Predicting Movie Profitability and Risk at the Pre-production Phase

Insight

My goal here is not to improve upon the current prediction algorithms but rather to describe a model I devised, called ReelRisk , that uses random resampling to generate a range of predictions which can then be used as a risk assessment tool to determine early on whether to fund a movie. ROI = Profit/Budget). ROI = Profit/Budget).

Risk 67
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Belcorp reimagines R&D with AI

CIO Business Intelligence

These circumstances have induced uncertainty across our entire business value chain,” says Venkat Gopalan, chief digital, data and technology officer, Belcorp. “As Belcorp operates under a direct sales model in 14 countries. Its brands include ésika, L’Bel, and Cyzone, and its products range from skincare and makeup to fragrances.

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Getting ready for artificial general intelligence with examples

IBM Big Data Hub

While these large language model (LLM) technologies might seem like it sometimes, it’s important to understand that they are not the thinking machines promised by science fiction. LLMs like ChatGPT are trained on massive amounts of text data, allowing them to recognize patterns and statistical relationships within language.

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The state of data quality in 2020

O'Reilly on Data

The responses show a surfeit of concerns around data quality and some uncertainty about how best to address those concerns. To increase the focus on resolving data issues requires carefully scrutinizing the ROI of data conditioning efforts to focus on the most worthwhile, productive, and effective efforts.