TechCrunch
MARCH 2, 2022
When the three founders of Faros AI were working at Salesforce , they helped develop the company’s artificial intelligence, known as Einstein. While the goal of Einstein was to help companies become more data-driven , the engineering team building it experienced the same pain of tracking engineering operations data as any other company.
Cloudera
APRIL 23, 2024
The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.
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Dzone - DevOps
JULY 9, 2021
Three phases of a controlling engineering manager. Every morning, I see the unfiltered thoughts of 1200+ engineering leaders as one of the community moderators in the Dev Interrupted Discord server.
Hacker Earth Developers Blog
OCTOBER 16, 2022
Two and a half millennia later, we were now using the ancient basis for illness to describe employee personalities, and what we could do to better team culture in the workplace. Their introverted behavior can make it hard for them to show up as leaders or ‘fun’ people, but make no mistake – they are team players and loyal to a fault.
Hacker Earth Developers Blog
AUGUST 13, 2020
demand financial management and human capital management software vendor. She is also a Board Member of Women in Localization, a leading professional organization with a mission to create a strong place for women to develop their careers in localization and provide mentorship. Welcome, Monica! I never looked back.
CircleCI
OCTOBER 24, 2019
Now, most teams’ software development and release cycles have decreased from weeks, months, or even years, to hours and minutes. CI/CD is a core component of modern-day software development. Teams are also developing tighter communication strategies that yield deeper collaboration and faster, more constructive feedback loops.
O'Reilly Media - Ideas
JULY 28, 2020
The Core Responsibilities of the AI Product Manager. Product Managers are responsible for the successful development, testing, release, and adoption of a product, and for leading the team that implements those milestones. Product managers for AI must satisfy these same responsibilities, tuned for the AI lifecycle.
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