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Many companies roll out AI tools expecting instant productivity gains.
But after a few months, they realise… nothing has really sped up — and sometimes, things have even become messier.
So why does that happen? And is AI truly the magic pill for performance?

In this talk, we’ll explore:

• Where AI actually works flawlessly — and which tasks it’s safe to delegate.
• Why you shouldn’t fully trust its decisions, even when they sound “smart.”
• How to improve AI’s performance when it starts hallucinating or inventing facts.
• How to safely deploy and train AI on your own data without leaking sensitive information.
• What kind of computing power you really need to run AI locally.
• A real case from EVO: how we’re already using AI to assist our teams — and where we had to limit it so it doesn’t “accelerate” in the wrong direction 😄

Speaker:

Sviat Login, Head of QA at EVO, with over 11 years of testing experience, including 7+ years focused on API vulnerability testing.

Event details:

📅 Date – 4 December
🕖 Time – 19:00
⏱ Duration – 1.5 hours (60 min talk + 30 min Q&A)
🗣 Language – Ukrainian

All other details will be sent after registration.
Registration is free but mandatory.

Artificial Intelligence
QA Tools and Practices
Software QA and Testing

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