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Heartex raises $25M for its AI-focused, open source data labeling platform

TechCrunch

Heartex, a startup that bills itself as an “open source” platform for data labeling, today announced that it landed $25 million in a Series A funding round led by Redpoint Ventures. When asked, Heartex says that it doesn’t collect any customer data and open sources the core of its labeling platform for inspection.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Utilizing Pinecone for vector data storage over an in-house open-source vector store can be a prudent choice for organizations. It embodies our commitment to providing refined, innovative, and practical solutions that meet the evolving demands and challenges in the field of AI and machine learning.

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MLflow: A platform for managing the machine learning lifecycle

O'Reilly Media - Data

Although machine learning (ML) can produce fantastic results, using it in practice is complex. At Spark+AI Summit 2018, my team at Databricks introduced MLflow , a new open source project to build an open ML platform. Machine learning workflow challenges. MLflow: An open machine learning platform.

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12 data science certifications that will pay off

CIO

The exam covers everything from fundamental to advanced data science concepts such as big data best practices, business strategies for data, building cross-organizational support, machine learning, natural language processing, scholastic modeling, and more. It’s a fundamentals exam, so you don’t need extensive experience to pass.

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How to take machine learning from exploration to implementation

O'Reilly Media - Data

Interest in machine learning (ML) has been growing steadily , and many companies and organizations are aware of the potential impact these tools and technologies can have on their underlying operations and processes. Machine Learning in the enterprise". Scalable Machine Learning for Data Cleaning.

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Why Reinvent the Wheel? The Challenges of DIY Open Source Analytics Platforms

Cloudera

In their effort to reduce their technology spend, some organizations that leverage open source projects for advanced analytics often consider either building and maintaining their own runtime with the required data processing engines or retaining older, now obsolete, versions of legacy Cloudera runtimes (CDH or HDP).

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Activeloop snags $5M seed to build streaming database for AI applications

TechCrunch

. “[We are] introducing a database for AI, specifically a storage layer that helps to very efficiently store the data and then stream this to machine learning applications or training models to do computer vision, audio processing, NLP (natural language processing) and so on,” Buniatyan explained.