Utilize machine learning to improve employee retention rates
Employee turnover is one of the most pressing challenges modern businesses face. It drains resources, lowers morale and slows team momentum. Traditional HR tools like sur...
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Closing the AI skills gap
Interview w/ Mike Spaeth, VP of United States AI Institute The phrase “AI skills gap” gets thrown around so often that it risks becoming background noise. O...
The hidden cost of over-instrumentation: Why more tracking can hurt product teams
Stop tracking everything: Rethink your data strategy If you’ve ever opened a product analytics dashboard and scrolled past dozens of unlabeled metrics, charts with no v...
How to Build and Optimize High-Performance Deep Neural Networks from Scratch
With explainable AI, intuitive parameters easy to fine-tune, versatile, robust, fast to train, without any library other than Numpy. In short, you have full control over ...
Unlocking the value of AI with DevOps accelerated MLOps
Since the early 2000s, the advent of digital transformation has compelled businesses across industries to reimagine their business processes, customer interactions, produ...
Revamping enterprise content management with language models
The relatively recent capacity for front-end users to interface with backend systems, documents, and other content via natural language prompts is producing several notab...
Decentralized ML: Developing federated AI without a central cloud
Introduction – Breaking the cloud barrier Cloud computing has been the dominant paradigm of machine learning for years. Massive data charts are uploaded on a centra...
How to make AI work in QA
AI has radically changed Quality Assurance, breaking old inefficient ways of test automation, promising huge leaps in speed and the ability to test things we otherwise co...
How enterprises can secure their communications
This post breaks down the biggest threats to enterprise communication and succinctly walks you through the strategies that actually work....
AI skills for the modern workplace: A guide for knowledge workers
While AI is being adopted across organizations, knowledge gaps still exist in using it mindfully and effectively in everyday tasks. These gaps present both a challenge an...