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VCs continue to pour dollars into generative AI

TechCrunch

In the video category, WSC Sports, which uses AI to generate personally tailored video clips for sports fans, landed $100 million in Series D funding nearly a year ago. First, the declining cost of training cutting-edge machine learning tech and advances in research have propelled both in-house teams and startups alike.

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Data collection and data markets in the age of privacy and machine learning

O'Reilly Media - Data

In the early phases of adopting machine learning (ML), companies focus on making sure they have sufficient amount of labeled (training) data for the applications they want to tackle. They then investigate additional data sources that they can use to augment their existing data. Economic value of data. Closing thoughts.

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Chronosphere raises $200M at a $1B+ valuation for cloud-native monitoring, adds granular, distributed tracing to its dashboard

TechCrunch

The underlying large-scale metrics storage technology they built was eventually open sourced as M3. “Sitting at the intersection of the major trends transforming infrastructure software – the rise of open-source and the shift to containers – Chronosphere has quickly become a transformative player in observability.

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Highlights from the Strata Data Conference in New York 2019

O'Reilly Media - Data

Cassie Kozyrkov offers actionable advice for taking advantage of machine learning, navigating the AI era, and staying safe as you innovate. Watch “ Staying safe in the AI era “ Recent trends in data and machine learning technologies. Arun Murthy introduces the open source Cloudera Data Platform (CDP).

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Document Classification With Machine Learning: Computer Vision, OCR, NLP, and Other Techniques

Altexsoft

So businesses employ machine learning (ML) and Artificial Intelligence (AI) technologies for classification tasks. Namely, we’ll look at how rule-based systems and machine learning models work in this context. The same analysis is conducted with nutrition and sports categories. Defining keywords.

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AI Chihuahua! Part II

d2iq

With open-source technology companies can actually get the best of everything. Open-source software is free to use, but teams have to invest quite a bit in selecting, introducing, using, and maintaining these technologies. That’s already a total of four clusters to manage, just for machine learning.

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You can no longer afford time amnesia in your software systems.

The Agile Monkey

Event-driven machine learning will enable a new generation of businesses that will be able to make incredibly thoughtful decisions faster than ever, but is your data ready to take advantage of it? Do you need help adopting event-sourcing or AI models at your organization? This constant stream of events provides extra benefits.