Sam Naqvi

Faster & Error-Free Deployments – AI can detect and prevent misconfigurations in IaC scripts before deployment – It enables automated remediation, reduces human intervention which results in minimizing downtime.Intelligent Automation & Optimization – AI can analyze historical deployment data to recommend most efficient configs – It automates Performance tuning, ensures optimal resource allocation which contributes

Fairness and Biased Mitigation – Devs should work on techniques to detect and minimize bias, such as: re-sampling data, adversarial debiasing, & any fairness constraints in model training. AI systems should be inclusive and not propagate biases present in training data or Devs assumptionsExplainability & Transparency – Algorithm should be understandable to Developers (Devs), stakeholders,

Improved Productivity – It automates repetitive tasks e.g. report writing, email drafting, & documentation, saves time & effortContent Generation with Enhanced Creativity – GenAI can generate text, images, code, and music, enables businesses & creative professionals to automate content creation.Automates Software Development – Assists in code generation, bug fixing, and documentation, accelerates software development cyclesAdvanced

High CPU/GPU Requirements – Be aware that your VM has sufficient resources i.e. to avoid bottlenecks. CPU, GPU, and memory, to perform resource-intensive functions – AI workloads can demand dynamic scaling of resources, especially for cloud-based VMsNetwork Latency – If large datasets stored in multiple locations, network latency can become a significant performance bottleneck.Cost Management

Proactive Threat Detection – AI identifies potential threats before they can cause any damage – Technically, AI doesn’t sleep – it monitors systems 24/7, identifying even smallest anomalies. It analyzes vast amounts of data in seconds, reducing time to detect & mitigate risksPersonalized Defense Mechanisms – AI adapts to specific needs of an Org., provides

Automation – AI has significantly automated routine & repetitive coding tasks, allowing Dev to focus on complex & creative aspects of software development. For example, AI-powered tools, i.e. GitHub Copilot & Tabnine offer code suggestions & help with boilerplate code generation.Debugging & Code Review – AI transforms the way code is reviewed & debugged with