Presented by
Yuval Perlov, CTO, K2view and Gil Trotino, Director of Product Marketing, K2view
Mastering Synthetic Data Generation: Methods, Pitfalls and Best Practices
About this talk
About this session:
We're excited to invite you to attend the 2nd in our synthetic data webinar series.
We'll delve into synthetic data generation methods, focusing on the 4 leading data generation techniques, including generative AI and rule-based data generation.
Don't miss this opportunity to expand your knowledge of synthetic data generation, learn when to use each method and learn about the life cycle of synthetic data.
Agenda:
* The synthetic data lifecycle, and synthetic data management
* Synthetic data generation techniques, and pros and cons of each
* Product demo covering generative AI, rule-based, and data masking techniques
* Q&A
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At K2View, we believe that every company should be able to liberate and elevate its data to deliver the most personalized and profitable customer experience in its industry, while being innovative and radically agile.
With K2View, companies manage data in a whole new way, using a business lens: they create data products that continually sync, transform, and serve data from siloed source systems – delivering a real-time, holistic view of any business entity to any data consumer.
Our Data Product Platform fuels operational and analytical workloads, at enterprise scale. It deploys as a data fabric, data mesh, or data hub - in an on-premises, cloud, or a hybrid architecture - in a matter of weeks, and adapts to change on the fly.
The most data-intensive companies in the world, including AT&T, Verizon, American Express, Vodafone, and Hertz trust K2View Data Product Platform for their operational use cases - spanning Customer 360, cloud migration, test data management, data tokenization, and legacy application modernization.