Can you share an example of a time when artificial intelligence helped you to be more productive or efficient? What task or project were you working on?

Question

Discover the transformative power of artificial intelligence in elevating productivity, featuring expert insights on predictive maintenance, contextual assistance, campaign optimization, and SEO strategy revolution. Delve into the depths of AI's capabilities as industry specialists unveil their groundbreaking methods and results. This article demystifies how cutting-edge AI technology is reshaping efficiency and decision-making across various sectors.

Sam Prakash Bheri · Answer

Artificial intelligence played a major role in helping me be more productive while working on a large-scale infrastructure reliability project at Azure. One of the persistent challenges we faced was the time-intensive process of identifying and diagnosing hardware issues across thousands of servers in the Azure fleet. These failures often led to virtual machine interruptions, which directly impacted customer experience.
To solve this, we implemented an AI-based system that could automatically analyze telemetry signals from our servers and predict potential hardware failures. By integrating machine learning models into our monitoring pipeline, we were able to detect patterns that human engineers might miss and proactively flag machines likely to fail.
This automation significantly reduced the manual effort required for triaging issues and enabled faster, smarter decision-making. It not only improved overall system uptime but also allowed our engineering teams to focus on innovation rather than reactive firefighting. In the end, AI didn't just boost efficiency but also fundamentally transformed how we managed reliability at cloud scale.

Quentin Fournier · Answer

Absolutely. As the founder of Calk AI -- a no-code platform that connects AI to your company's internal tools and docs -- I'm both building the product and using it every day to stay productive.
One moment that really stood out was during a chaotic week where I had back-to-back meetings, user onboarding tasks, and customer support piling up. We had tons of great content already documented: onboarding flows in Notion, feedback in Intercom, conversations in Slack -- but accessing it quickly, without breaking my flow, was always a bottleneck.
That's when we built and deployed our own internal AI assistant, trained on our real company data.
Instead of switching tabs or asking teammates things like:
"Where's the most up-to-date onboarding message?"
"Did we already answer that feature request?"
"What's our refund policy again?" I could just ask our Calk assistant in natural language -- and it would instantly respond with the right info, pulled from Notion, Slack, Intercom, or Google Drive.
The result? I started saving 30-45 minutes per day that I used to spend searching, asking, or second-guessing. It also helped onboard new team members much faster, since they could ask the assistant the same questions without needing human help.
But maybe the biggest productivity shift wasn't just speed -- it was focus. When the answers are just one message away, you stay in flow. You're not jumping between tools or distracting your team.
This experience really confirmed our core belief at Calk:AI becomes truly useful when it's connected to your business context. Otherwise, it's just guessing.
That project didn't just make me more efficient -- it proved the product we were building was solving a real, daily pain point.

Georgi Petrov · Answer

One example of when artificial intelligence helped me become more productive was during a campaign I ran for an e-commerce client. We needed to optimize the ad targeting for several different buyer personas, and it was overwhelming to manually test different variations of ads across multiple platforms. I used AI-powered tools like AdRoll to automate and optimize ad placements, targeting, and budget allocation in real-time.
AI made the process incredibly efficient by analyzing audience behavior and adjusting the ad delivery based on which personas showed the most engagement. It also predicted which types of creatives would perform best, saving me significant time on testing and analysis. The AI tool's real-time insights allowed me to make data-driven decisions faster and with better accuracy.
This automation freed up my time, allowing me to focus on higher-level strategy while the AI handled the repetitive tasks. As a result, the campaign saw a significant increase in conversions, and I was able to manage more campaigns with less manual effort. The whole experience made me realize how powerful AI can be for streamlining workflows and boosting productivity.

Woody Hayday · Answer

Part of any online business in 2025 is managing your SEO (Search Engine Optimization). Over the years I've done this as a matter of course as a founder of several tech companies. 
From last year, though, the way I approach this has been massively affected by AI. 
It's possible that in a few years humans won't even use Google, or the other search engines nearly as much as they do today, as prompting AI will in time produce arguably more useful answers.
But for now that's not the case, search is still used massively, and companies need to compete here.
So working on SEO for my company with AI is now much more productive. I get AI to suggest optimizations, to draft content plans, and even to find me places where I can reach out to benefit our SEO. It's made me far more efficient.

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