How to Navigate Data Annotation and AI Development in Regulated Sectors
Explore challenges in AI and data compliance in regulated industries such as healthcare, FinTech, and defense to mitigate risks, ensure ethical practices, and maintain regulatory alignment.
Strict data privacy laws, ethical considerations, and the complexities of data scarcity require careful planning and innovative solutions. Without a strategy that effectively integrates compliance requirements and technological progress, organizations risk delays, inefficiencies, and potential non-compliance.
In this webinar, MobiDev experts and an invited guest shared insights into overcoming challenges with data annotation, leveraging synthetic data, and implementing secure AI development practices. Attendees gained actionable strategies to navigate the regulatory landscape while driving innovation.
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Highlights of the Webinar
Tackling AI Challenges in Regulated Sectors
Strict data privacy laws and ethical considerations demand innovative strategies to ensure compliance without stifling AI development.
The Power of Synthetic Data
Synthetic data offers a scalable, cost-effective way to address data scarcity while mitigating risks related to privacy and bias.
Optimizing Vendor Selection for Success
Choosing the right vendor with proper certifications, secure infrastructure, and robust risk management processes is key to navigating complex regulated environments.
Speakers
Oleksii Ostroverkhyi
President
Karyna Naminas
CEO at Label Your Data
Olena Ganchyna
Chief Strategy Officer
Webinar FAQ – "Navigating Data Annotation and AI Development in Regulated Sectors"
What is the webinar about?
The webinar explores the intersection of compliance and innovation in regulated sectors, focusing on data annotation and AI development challenges and solutions.
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