As a Software Release Manager or a TPM, how often have you faced the pressure of delivering a Web3 project, built on blockchain technology, under a tight deadline? You aim to release a stable, bug-free product; However, the clock is ticking. Balancing quality with time constraints is tough, yet achievable with your right approach. By […]
How to Balance Quality and Tight Deadlines in a Web3 Project Read More »
Readers, beware of an alarming new trend: scammers are using AI to create highly convincing “fake identities.” These impersonators might pose as a “CEO” or “recruiter,” often using phrases like “Act now,” “This is confidential,” or “Your account will be closed.” – Artificial Intelligence (AI) is transforming industries, however, it’s also arming cybercriminals with powerful
The Rise of AI-Generated Impostors: Email, LinkedIn, and Beyond Read More »
Recently, I wrote about business impact of downplaying QA (Testing), highlighting many risks of neglecting comprehensive quality assurance (QA) efforts. I also promised to follow up with an article on how to reduce development time and effort by adopting an AI-powered QA testing strategy. To be clear, my intent wasn’t to simply point out a
How AI is Transforming QA Testing & Reducing Effort Read More »
Recently (Last month), a major Microsoft outage primarily affected Office 365 and Teams, disrupting business operations, collaboration, and communication. As with any global software outage, users faced difficulties accessing emails, documents, and essential business tools. To help businesses stay operational during such disruptions, I wrote an article outlining key strategies. While Microsoft outages can be
Important Safeguards Against a Microsoft Office 365 Outage Read More »
With recent software (patch) failures making headlines, I couldn’t help but reflect on my own experience as a former release manager. What went wrong? Was there a conflict with existing version? Was this new version and or a patch insufficiently tested before release? Or was it simply a case of human misjudgment-assuming that update was
Key Risks and Business Impact of Downplaying Software (QA) Testing Read More »
There is a growing concern within the IT community about reliability of AI. Some schools of thought question the accuracy and trustworthiness of AI-generated results, particularly due to quality and biases of datasets used to train these models. I dedicated some time to research methods to counter these concerns and explored ways to verify data
How To Train Reliable Dataset for an AI Model Read More »
With a rise in Artificial Intelligence (AI) and its transformative impact among various industries, driving automation, insights, and efficiencies once thought to be impossible; ethical considerations and bias mitigation have become even more critical. Ensuring that AI systems are transparent, fair, & accountable, which is essential to foster a culture of trust. By prioritizing these
AI Ethics & Bias Mitigation: Building Responsible AI Systems Read More »
AI – Privacy & Security Challenges – As AI continues to reshape industries, addressing security and privacy challenges has become even more crucial in building trust and reliability. Everyone knows that (AI) is also optimizing processes and enhancing decision-making. However, as AI adoption grows, security and privacy concerns become more critical. Orgs must adopt proactive
Artificial Intelligence (AI) – Privacy & Security Challenges Read More »
Infrastructure Metrics – 1) CPU & Memory Usage – AI forecasts resource consumption trends to prevent bottlenecks. 2) Disk I/O & Network Latency – Helps in predicting infrastructure failures. 3) Container & Kubernetes Health – Ensures optimal cluster performance. Application Performance Metrics – 1) Latency – AI can predict potential slowdowns and suggest optimizations. 2)
How AI Enhances DevOps Metrics for Predictive Analytics Read More »
Recently, a friend of mine shared an experience during a job search & interview process that many of us might not recognize as a “trap interview.” He asked me to share some thoughts on this, and here’s my perspective: A “trap interview” occurs when an organization conducts an interview without a genuine intent to consider
How to Recognize That a Job Interview May be a “Trap Interview” Read More »
