Name: Artificial Intelligence/Machine Learning on AWS
Start: 2023-04-27T18:00:00-04:00
End: 2023-04-27T20:00:00-04:00
Location: Dr. Phillips Academic Commons

According to the latest research studies, over 80% of IT decision-makers agree that data collection and analysis have the potential to fundamentally change how their companies do business in the next one to three years. Over three-quarters of the executives view wider adoption and scaling of AI and machine learning to create business value as mission-critical for their future over the next three years. From mostly limited AI use across the enterprise today, over half of the technology leaders plan on a major expansion of use cases in all core functions in the next three years in their IT, finance, product development, marketing, sales, and other functions by 2025.

Quantiphi - a global analytics and AiML company and top tier Premier partner for Amazon Web Services - received **AWS AIML Partner of the Year** and **AWS Industry Partner of the Year** awards in 2022. Quantiphi collaborates with many enterprises across various industries to help them build data-driven approaches to:

* Drive top-line revenue improvement,
* Increase customer engagement and insights
* Automate and streamline internal business and IT processes
* Improve customer service and support
* Accelerate product innovation and improvement
* Boost information security and cybersecurity

Their capabilities built on data - such as advanced analytics, intelligent document processing, computer vision, natural language processing, and speech recognition - have already modernized how companies work through predictive maintenance in manufacturing plants, anomaly detection and auto adjudication in claims management and fraud detection, and sentiment analysis and chatbots for better and faster customer service.

Join this amazing event and find out how Quantiphi does it!

Jeff Fudge

Orlando AWS User Group

Global AWS User Group Community

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Artificial Intelligence/Machine Learning on AWS

Machine Learning

Dr. Phillips Academic Commons

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Artificial Intelligence/Machine Learning on AWS

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