Computers can now interpret, manipulate, and understand human language through Natural Language Processing in ways that seemed impossible a few years ago. Many developers still miss critical performance bottlenecks that can affect their real-life applications, despite NLP’s growing adoption. Natural language processing (NLP) combines computational linguistics with machine learning and deep learning techniques as an…
Month: June 2025
Autonomous AI Agents: Building Self-Learning Systems in Python 2025
Did you know that 67% of wealth advisors’ daily work consists of non-value-added administrative tasks? Autonomous AI agents are revolutionizing this landscape by automating repetitive processes and delivering accurate, up-to-date information to employees and customers. Autonomous agents’ potential effect is significant. Gartner predicts that agentic AI will make at least 15% of work decisions autonomously by 2028,…
Why Your AI Security is Probably Wrong: A Security Expert’s Warning
Companies are failing to secure their AI systems properly. Our research reveals that organizations without strong AI security measures pay USD 5.36 million for data breaches. These costs run 19% above the global average. My years of analyzing these vulnerabilities point to issues that should worry every company using AI technologies. Better AI security makes…