AI Tools Questions & Answers

The emerging tools for AI for performance reviews are Lattice, Writify.AI, Peoplebox.ai, Effy AI, ClickUP and many more.

Use feature flags to expose Vertex AI features only to pilot users based on attributes like role or email. Enforce access with IAM roles and conditions, and isolate usage in a separate GCP project or folder. Monitor activity with audit logs and usage metrics.

Edge AI changing the industry in 2025 by enabling real-time performance, on-device intelligence, reducing costs, improving data privacy & privacy, and enhancing system resilience.

In 2025, leading AI tools for demand forecasting include Anaplan, o9 Solutions, SAP, Blue Yonder, ThroughPut Inc., E2open, and DataRobot, Inc.

The safest way to roll out updates on Amazon Bedrock without risking peak-hour outages is to use a canary deployment strategy. This technique involves directing a small, incremental percentage of live traffic to the new model or configuration while closely monitoring its performance. If any issues are detected, traffic can be instantly routed back to the stable version, mitigating risk during peak hours.

The blue/green method, while effective, can be less granular and riskier for AI models, where behavior changes are more subtle. Canary deployments provide fine-grained control and a real-world testing period.

In 2025, leading AI tools for predictive maintenance include cloud-based platforms with integrated AI capabilities, such as IBM Maximo Application Suite, GE Digital Predix Asset Performance Management (APM), and Siemens MindSphere.

AI will not replace software engineers. It will automate tasks and improve efficiency, but engineers will be still needed for strategic thinking, architecture design and collaboration and communication.

Yes, you can generate code using generative AI models.

Automation testing tools can be categorized by the type of application they test (web, mobile, API, desktop), the type of testing they perform (unit, functional, regression, performance, security), or the testing framework they are built on (linear, data-driven, keyword-driven, hybrid). Popular tools include Selenium (web), Appium (mobile), Postman (API), JUnit (unit testing), and JMeter (performance).

The top AI tools of 2025 are GWI Spark, Perplexity AI, Quantilope, and Crayon.