On-demand webinar
Data security in generative AI – challenges & best practices
Video available 24/7
Online registration required
Piotr Kalinowski
Tony Butler
Learn to mitigate data security risks in AI app development
When considering the business opportunities offered by generative AI (genAI), many companies are also looking into the risks associated with this technology. A recent survey found that 80% of AI decision makers are concerned about data privacy and security, while only one in ten organizations has a reliable system in place to measure bias and privacy risk in large language models (LLMs). To address these issues early and meet compliance requirements, businesses need to implement the right frameworks and design their AI solutions with data safety in mind.
Watch this on-demand webinar to learn best practices for developing safe generative AI apps from an experienced AI expert who will share his strategies for ensuring data security in AI-driven products. Explore often overlooked aspects of data privacy in genAI and find out how to mitigate potential security risks when implementing LLMs.
Webinar agenda
1
Why every AI project starts with data
2
The role of architecture in securing sensitive data
3
Different ways of using LLMs in a safe way
4
How to handle common challenges in genAI apps
- Ensuring responsible content moderation
- Processing sensitive data
- Preventing LLM hallucinations
- Evaluating AI’s responses
5
Q&A session
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What will you gain from this webinar?
Tips on ensuring data privacy in AI projects
Insights on evaluating genAI’s responses
Pros and cons of different LLM uses
Best practices for preventing LLM hallucinations
Knowledge from experienced AI experts
Speakers
About Software Mind
Leverage generative AI safely and strategically
Software Mind engineers software that reimagines tomorrow. For over 20 years, our top-notch development teams have been accelerating digital transformations and boosting software delivery for companies of all sizes across different industries.
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