
Understanding and Operationalizing AI for Your Product and Company
Manisha Gupta of Oracle explains how to understand and operationalize AI for your product and company to reduce human error and speed up operations.
91 articles, page 4 of 11

Manisha Gupta of Oracle explains how to understand and operationalize AI for your product and company to reduce human error and speed up operations.

Dan Shiebler of Abnormal Security explains resilient machine learning: how to make AI models work in real commercial settings and resist cyberattacks.

Florence Hudson on the risks of increased connectivity in healthcare and why data science matters for business more than ever. Watch the summit talk.

Patrick Nunally of Blockchain Exchange Network introduces pervasive AI-driven bioinformetrics for SaaS: identifying users by their behavior patterns.

Watch Matt Shaffer's Glorium Technologies summit talk on the role of AI in SaaS and how recent advances in machine learning expand market opportunities.

Anurag Sinha of KPI Digital explains how to leverage data strategy as a catalyst for innovation and the role of data analytics in SaaS businesses.

Andrei Kasyanau, CEO of Glorium Technologies, opens the summit Boosting SaaS Products with New Technologies on big data, data science, AI and ML.

Michael Leung, Co-Founder of Spect, on using artificial intelligence to detect systemic diseases in retinal images and what it means for healthcare.

Rodrigo Hutt of Viome on the power of AI in precision nutrition and why personalized health insights are changing the way we approach wellness.
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