In today's dynamic digital landscape, data is pivotal in fueling innovations in artificial intelligence (AI). Video annotation is critical for advancements in AI through computer vision. Moreover, the training data must be customized per the AI model's training requirements for developing AI and machine learning (ML) applications. Video annotation aids ML models in … [Read more...] about Significance of Video Annotation in Training Computer Vision Models
machine learning
How Machine Learning is Driving Accuracy in Identifying and Recruiting Talented Candidates
While the ongoing generative AI boom has captivated countless industries worldwide, it's actually machine learning (ML) that stands to have a major impact on recruitment over the coming years. The global ML market is expected to reach a value of $209.91 billion by 2029, representing a CAGR of 38.8%. This swift rate of growth will bring a hatful of benefits to digital … [Read more...] about How Machine Learning is Driving Accuracy in Identifying and Recruiting Talented Candidates
Understanding Data Bias When Using AI or ML Models
Artificial Intelligence (AI) and Machine Learning (ML) are more than just trending topics, they've been influencing our daily interactions for many years now. AI is already deeply embedded in our digital lives and these technologies are not about creating a futuristic world but enhancing our current one. When wielded correctly AI makes businesses more efficient, drives better … [Read more...] about Understanding Data Bias When Using AI or ML Models
Maximizing Cybersecurity with AI Technology
Cyber threats are on the rise worldwide. Every year, such online attacks become more severe and complex. Cybersecurity infrastructure is the most effective antidote to this critical ailment. It provides protection for the critical infrastructure and secures sensitive information. While the number and impact of cyber attacks keep on expanding, the solutions to deal with these … [Read more...] about Maximizing Cybersecurity with AI Technology
What Is MLOps, and Why Do We Need It?
Making the leap from a proof-of-concept to a production-ready application is one of the hardest tasks in the field of machine learning. The point is that ML models that perform flawlessly in a lab environment frequently fail when applied to real-world scenarios. Only 32% of data scientists surveyed say their ML models usually deploy. The pervasive failure of AI/ML projects … [Read more...] about What Is MLOps, and Why Do We Need It?
