On-demand webinar

Data security in generative AI –⁠ challenges & best practices

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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

Watch the webinar

Why every AI project starts with data
The role of architecture in securing sensitive data
Different ways of using LLMs in a safe way
How to handle common challenges in genAI apps
- Ensuring responsible content moderation
- Processing sensitive data
- Preventing LLM hallucinations
- Evaluating AI’s responses
Q&A session

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

Piotr Kalinowski

Head of Data & AI

A cloud data engineer with extensive experience with architectures, software development and building advanced data processing systems, Piotr has worked with the largest institutions in the financial sector. Along with developing AI/ML solutions in AWS, Microsoft Azure, Oracle and Alibaba Cloud, he is an avid cloud blogger.

Tony Butler

Strategic Account Manager

A Senior Manager with over 25 years’ experience in staff and business management, Tony has consulted for technology startups, scaleups and market leaders, such as IBM, Cisco, Palo Alto Networks, Deutsche Bank and HSBC. Wide expertise in high-touch business and technical consultancy, sales, marketing, technical engineering and IT strategy enables him to support companies in a variety of ways. His knowledge of artificial intelligence made him instrumental in revolutionizing a major bank and enhancing its employee experience by using chatbots, sentiment analysis and Natural Language Processing to gain deeper insights into employee wellbeing.

Leverage generative AI safely and strategically

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