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Know before you go: 6 lessons for enterprise GenAI adoption

CIO

Many organizations know that commercially available, “off-the-shelf” generative AI models don’t work well in enterprise settings because of significant data access and security risks. Lesson 1: Don’t start from scratch to train your LLM model Massive amounts of data and computational resources are needed to train an LLM.

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Schedule Optimization: Technological Approaches and Use Cases

Altexsoft

So, numerous techniques, including mathematical optimization, constraint programming, and machine learning (ML), are used to address this issue. Doing it manually is time-consuming and way too uneffective. What is schedule optimization? Depending on the industry and management domain, scheduling may refer to.

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AI in Short-Term Rentals: How Machine Learning Shapes STR

Altexsoft

This includes learning, reasoning, problem-solving, perception, language understanding, and decision-making. The key terms that everyone should know within the spectrum of artificial intelligence are machine learning, deep learning, computer vision , and natural language processing.

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Traffic Prediction: How Machine Learning Helps Forecast Congestions and Plan Optimal Routes

Altexsoft

Traffic prediction means forecasting the volume and density of traffic flow, usually with the purpose of managing vehicle movement, reducing congestion, and generating the optimal (least time- or energy-consuming) route. In 2021, NYC drivers lost an average of 102 hours in congestion – and before the pandemic that score was even worse.

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Udacity raises $75M in debt, says its tech education business is profitable after enterprise pivot

TechCrunch

Online education tools continue to see a surge of interest boosted by major changes in work and learning practices in the midst of a global health pandemic. The funding will be used to continue investing in its platform to target more business customers. Now it’s time to build out a sales team to go after them.”

Education 295
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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.

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Open-Sourcing Metaflow, a Human-Centric Framework for Data Science

Netflix Tech

About two years ago, we, at our newly formed Machine Learning Infrastructure team started asking our data scientists a question: “What is the hardest thing for you as a data scientist at Netflix?” Our job as a Machine Learning Infrastructure team would therefore not be mainly about enabling new technical feats.