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Automate caption creation and search for images at enterprise scale using generative AI and Amazon Kendra

AWS Machine Learning

He has over 11 years of experience in developing and leading data science, machine learning, and big data initiatives. Prior to joining AWS, he was consulting customers in various industries such as Automotive, Manufacturing, Telecommunications, Media & Entertainment, Retail and Financial Services.

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Use RAG for drug discovery with Knowledge Bases for Amazon Bedrock

AWS Machine Learning

He has helped companies in many industries, including insurance, financial services, media and entertainment, healthcare, utilities, and manufacturing. AI/ML Solution Architect at AWS, focuses on generative AI and applies his knowledge in data science and machine learning to provide practical, cloud-based business solutions.

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How to Be 2 Steps Ahead in Anticipating Your Customer Needs

Kayako

In-flight entertainment has been in-demand since commercial flight became routine; Virgin just figured out a way to up the ante by including individual TVs in all headrests. This is why the data mentioned in the above section is so important.). This determines what works best at each stage of the process.

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How Technology & Customer Experience Have Changed the Employee Learning Landscape

Call Center Weekly

By Melissa Pollock Cloud-based contact center platforms, big data analytics, omni-channel operations, and artificial intelligence applications have all contributed to a prodigious evolution in how we engage and manage customer journeys. That's the essence of digital learning and is it's the new normal for employees' knowledge needs.