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Decoding Intelligence in OTT Platforms | Role of AI in Media & Entertainment

bridgei2i

Imperative to predicting user preferences or interests and suggestions, the recommendation engine market size is projected to reach $12.03 Role of Metadata in Videos – AI in Ads for OTT. This metadata forms the base from which AI technologies can analyze scenes to help in auto-generating trailers or teasers.

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Of Muffins and Machine Learning Models

Cloudera

Weak model lineage can result in reduced model performance, a lack of confidence in model predictions and potentially violation of company, industry or legal regulations on how data is used. . Within the CML data service, model lineage is managed and tracked at a project level by the SDX.

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The most valuable AI use cases for business

IBM Big Data Hub

The IBM team is even using generative AI to create synthetic data to build more robust and trustworthy AI models and to stand in for real-world data protected by privacy and copyright laws. AI platforms can use machine learning and deep learning to spot suspicious or anomalous transactions.

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Proposals for model vulnerability and security

O'Reilly on Data

The objective here is to brainstorm on potential security vulnerabilities and defenses in the context of popular, traditional predictive modeling systems, such as linear and tree-based models trained on static data sets. If an attacker can receive many predictions from your model API or other endpoint (website, app, etc.),

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The Cloud Connection: How Governance Supports Security

Alation

In today’s AI/ML-driven world of data analytics, explainability needs a repository just as much as those doing the explaining need access to metadata, EG, information about the data being used. They strove to ramp up skills in all manner of predictive modeling, machine learning, AI, or even deep learning.