Applications Machine Learning Technology 
TechCrunch
AUGUST 25, 2021
Meet Taktile , a new startup that is working on a machine learning platform for financial services companies. This isn’t the first company that wants to leverage machine learning for financial products. They could use that data to train new models and roll out machine learning applications.
TechCrunch
MARCH 31, 2021
Snehal Kundalkar is the chief technology officer at Valence. We’re living in a phenomenal moment for machine learning (ML), what Sonali Sambhus , head of developer and ML platform at Square, describes as “the democratization of ML.” Snehal Kundalkar. Contributor. Share on Twitter. ML recruiting strategy.
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TechCrunch
NOVEMBER 16, 2021
Machine learning is exploding, and so are the number of models out there for developers to choose from. The company co-founders, brothers Gaurav Ragtah and Himanshu Ragtah, saw that there was so much research being done and wanted to build a tool to make it easier for developers to find the most applicable models for their use case.
CIO
NOVEMBER 14, 2024
Even less experienced technical professionals can now access pre-built technologies that accelerate the time from ideation to production. Data scientists and AI engineers have so many variables to consider across the machine learning (ML) lifecycle to prevent models from degrading over time.
CIO
NOVEMBER 27, 2024
Recent research shows that 67% of enterprises are using generative AI to create new content and data based on learned patterns; 50% are using predictive AI, which employs machine learning (ML) algorithms to forecast future events; and 45% are using deep learning, a subset of ML that powers both generative and predictive models.
CIO
NOVEMBER 18, 2024
In the quest to reach the full potential of artificial intelligence (AI) and machine learning (ML), there’s no substitute for readily accessible, high-quality data. Some of the key applications of modern data management are to assess quality, identify gaps, and organize data for AI model building.
AWS Machine Learning - AI
NOVEMBER 6, 2024
Traditionally, building frontend and backend applications has required knowledge of web development frameworks and infrastructure management, which can be daunting for those with expertise primarily in data science and machine learning.
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