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UID:https://events.ucf.edu/event/3709779/transform-research-learning-with-google-cloud/
DTSTAMP:20250205T140000
DTSTART:20250205T140000
DTEND:20250205T160000
LOCATION:Virtual
SUMMARY:CANCELED - Transform Research & Learning with Google Cloud
URL:https://events.ucf.edu/event/3709779/transform-research-learning-with-google-cloud/
DESCRIPTION:Discover How Google Generative AI Can:  \nAccelerate Discovery: Uncover patterns and correlations in your data that would take years to find manually.  \nScale Innovation: Generate novel hypotheses, design innovative experiments, and explore new research avenues.  \nEnhance Collaboration: Streamline literature reviews, co-author papers, and communicate findings more effectively.  \nSecure Funding: Craft compelling grant proposals and showcase the impact of your research with data-driven visualizations.  \n  \n  \nSession Will Cover The Following Topics:  \nIntroduction to Google Cloud  \n10x Thinking with Google! Google Culture Crash Course  \nAlphabet, Inc. Key Advantages, Research and Tools Available  \nThe Types of Solutions Google Provides to R1 Research Institutions  \nOpen Discussion  \nTell Google Your Superpower!  \nLet's Focus on You! Skill Sets, Experience, and Strategic Imperatives  \nLab One (1): Google BigQuery ML democratizes ML by letting users create, train, evaluate, and predict with ML models using existing SQL tools and skills.  \nOverview of Google's Data Dominance. Native Data Catalog in BigQuery, Data Assets and Models such as Alphafold from Deepmind, more.  \nYou will learn what makes a good model by cleaning, governing, and extracting value from Enterprise Data to build trustworthy AI.  \nLab Two (2): Google's Vertex AI Platform  \nAutoML: train tabular, image, text, or video data without code  \nGovernance and Interoperability: Control over the end to end training process, use your preferred ML framework, write your own training code, and choose your own hyperparameters  \nGoogle Cloud Model Garden: Discover, test, customize, and deploy Google LLM's, APIs, and select open-source (OSS) models and assets.  \nGenerative AI: access to 150+ models from multiple companies and across multiple modalities (text, code, images, speech). Tune Google's LLMs to meet your needs, and deploy AI-apps  \nSolutions Showcase:  \nArt of the Possible Demos from Google!  \n  \nChallenges and Considerations:  \nWhile the potential of generative AI in research is immense, it's important to be aware of ethical considerations, potential biases in data, and the need for human oversight to ensure the responsible and effective use of these powerful tools.  \n  \nWho Should Attend:  \nResearchers, scientists, data analysts, and anyone interested in leveraging cutting-edge AI to advance their work.  \n  \nLimited Seats Available!  \nDon't miss this opportunity to learn from Google experts, network with fellow researchers, and see firsthand how generative AI is revolutionizing research across disciplines.\n\nPresented by Pratap Ramamurthy\n\nVirtual Location URL: https://ucf.qualtrics.com/jfe/form/SV_9AEA3LBougUZ8Kq\nRegistration Link: https://ucf.qualtrics.com/jfe/form/SV_9AEA3LBougUZ8Kq
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