GenAI: Avoiding the 5 Biggest Pitfalls as CTO.
While the promise of GenAI is widely discussed, what about the pitfalls? Find out how to succeed at every stage of your GenAI journey, from ideation to production, with expert guidance to minimize friction and avoid setbacks.No matter your current stage of GenAI adoption, this Masterclass (given by AI/ML and data engineering experts from DoiT) will equip you with 5 must-have lessons to examine your roadmap and avoid the biggest pitfalls
- Limited spots.
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Join us to.
Three things that happen at every alphalist table.
- 01
Identify
Learn about the 5 biggest pitfalls in implementing GenAI and how to recognize them early to ensure a smoother adoption journey.
- 02
Avoid
Get expert insights on how CTOs can pinpoint and steer clear of common GenAI implementation mistakes, ensuring a more effective deployment.
- 03
Discover
Discover cutting-edge trends in GenAI, like cloud data sovereignty and ‘small’ language models
Who attended. 45 attended.
Deel Inc.Director Platform
w3.labsCTO
FreelanceProduct & Technology
LocalyzeCTO and Founder
PrevessCTO | co-founder
Unzer Group GmbHCTO
FamilyCarreer Break
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Speakers
Prepare to think different and grow your company with talks from top thought leaders in tech.
Hanna Schulze
Cloud Architect, Cloud Data Specialist, Podcast Host @ DoiT International
Hanna Schulze (Lucerne) is a Cloud Architect at DoiT, an AWS, Google and Azure premier Partner. She writes and speaks on sovereign cloud, data residency and GenAI implementation hurdles. Hanna is a GCP and AWS-certified Cloud Data Engineer. She possesses deep experience building cloud data platforms and efficient data warehouses. Hanna studied Microelectronics at Wroclaw University. She is an advocate for a women in tech with her Polish-language, podcast 'Matka polka programistka'.
Mehdi Nemlaghi
Staff Cloud Architect, AI/ML Specialist and Leader, GenAI Accelerator Program @ DoiT International
Mehdi Nemlaghi (Paris) is a Staff Cloud Architect at DoiT, an AWS, Google and Azure premier Partner. Mehdi brings 15+ years of experience in data science, big data, and machine learning. He currently leads DoiT’s GenAI Accelerator Program, helping teams in diverse industries move from ideation to POC and pre-production in a matter of weeks. His previous work experience included roles as Head of Data, Head of Data Science, and Senior Data Scientist - Chief Algorithms Officer. Mehdi studied Financial Mathematics and General Engineering at Ecole Centrale Paris.
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