Remove tag data-science
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DIY cloud cost management: The strategic case for building your own tools

CIO

This strategy alone — achieved with the DIY approach — was responsible for saving $300,000 when his team dug into expenses surrounding Google Cloud Platform log storage, resulting in his team moving the logs to a lower tier of cloud storage and rightsizing the data they retain to adhere to retention requirements.

Tools 311
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How to Launch Your AI Projects from Pilot to Production – and Ensure Success

CIO

CIOs seeking big wins in high business-impacting areas where there’s significant room to improve performance should review their data science, machine learning (ML), and AI projects. Are data science teams set up for success? Are they working on problems that can yield meaningful business outcomes?

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Sport analytics leverage AI and ML to improve the game

CIO

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. The point is to use the data like a razor to cut through false convictions to find the truth.

Sport 296
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Journey Science : How Journey Science is Transforming Data Science and Customer Experience

Perficient

Computer Science, Data Science, Journey Science. Computer Science: The Here and Now In the beginning, Computer Science was abstract. This would let humans focus on functions that mattered more, like advancing science or the arts. Ready to Learn More? Contact us.

Data 98
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Customer service automation startup Lang lands $15M

TechCrunch

He would be — he’s the co-founder of Lang.ai , a startup developing a platform that automatically tags customer conversations to resolve service issues ostensibly more quickly. ” Lang isn’t alone in using AI to auto-tag customer service messages. “Automation in customer support is not new. ’ moment.”

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Effortless Engineering: Quick Tips for Crafting Prompts

Honeycomb

But we certainly encountered issues while building it—issues you’ll most likely face too if you’re building a product with LLMs—with the main one being, how do we get the model to return data in a way that works with our software? It is not an exact science, and rather, it is more of an experimentation process. cozy), or type.

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Komprise raises $37M to help companies index, manage and transform data

TechCrunch

In the enterprise, there’s been an explosive growth of data — think documents, videos, audio files, posts on social media and even emails. According to a Matillion and IDG survey, data volumes are growing by 63% per month in some organizations — and data’s coming from an increasing number of places.

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