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Main Monthly Meeting (live)

with... Multiple Speaker(s)

Don't miss out on our upcoming monthly meeting featuring incredible speakers who will redefine your approach to business in the Age of AI!

Tuesday, May 28, 2024 6:30 PM - 8:30 PM
SLCC, Miller Campus, KGMC
9750 South 300 West Sandy, UT 84070

Reimagine Your Business in the Age of AI 

Michael Atherton is the CTO and co-founder of AI Revolution Labs, where he spearheads AI design and consultancy, helping businesses navigate the ever-changing AI landscape. With over two decades of experience in technology and startups, Michael brings a wealth of knowledge in product and business development to the table. Prior to his current role, Michael served as a Product Manager at Control4 and a Technical Product Manager at Nielsen, where he honed his skills in leveraging advanced technologies to drive business performance. At Lykuid, an early-stage startup, he held the positions of VP of Business Development and Technical Product Manager, leading the implementation of cutting-edge AI and machine learning technologies for their flagship infrastructure monitoring platform. Michael holds a Bachelor's Degree in Information Technology from Brigham Young University - Idaho. He is a sought-after speaker at industry conferences, sharing his expertise on AI tools and large language models (LLM). Beyond his professional achievements, Michael is deeply passionate about staying at the forefront of AI advancements and actively engages with industry thought leaders to remain informed and innovative.

Matthew Fischer, as seasoned Founder, is a skilled Business, Brand, and Innovation Strategist with over 20 years of experience. He has a proven track record of starting, growing, and selling businesses, as well as coaching and consulting with hundreds of companies across various industries. Matthew's expertise lies in emerging technologies, including connected devices, virtual reality, augmented reality, AI, metaverse training, and Blockchain. He has applied his knowledge to drive innovation and success for clients in construction, engineering, software, smart devices, aviation, automotive, electronics, real estate, and healthcare. Passionate about the transformative power of artificial intelligence (AI), Matthew serves as the CEO of AI Revolution Labs. He has been at the forefront of exploring how AI revolutionizes virtually every aspect of modern life. With a Master's degree in Communications Strategy from Virginia Commonwealth University and training from renowned advertising industry leaders, such as the creators of the Geico commercials, Matthew brings a fresh, dynamic approach to every project and client. He combines his education and extensive practical experience to deliver top-notch results.

Christopher Brousseau is a Staff Machine Learning Engineer with a background in linguistics and localization. He specializes in linguistically-informed NLP with a focus on international applications. His expertise has contributed to the success of ML and Data product initiatives in both startup environments and Fortune 500 companies. Christopher holds patents with one Fortune 500 and one Fortune 10 company, reflecting his significant contributions to the field of Machine Learning and Artificial Intelligence. He is involved in projects for a prestigious Fortune 10 company, underlining his status as a key figure in machine learning. Christopher is the co-author of "LLMs in Production" from Manning, a testament to his scholarly and practical expertise in machine learning. As part of the HuggingFace contributors community, he has earned recognition for his contributions to Optimum and Diffusers. Christopher's recent work includes the release of "fsdp_qlora" on PyPI, a leading-edge Machine Learning library, demonstrating his ongoing commitment to advancing machine learning technology.

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Date:  Tuesday, May 28, 2024
Time:  6:30 PM - 8:30 PM

SLCC, Miller Campus, KGMC
9750 South 300 West
Sandy, UT 84070

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Utah Real Estate Investors Association
  • (801) 613-7760
  • 1042 E Fort Union Blvd Suite 425
  • Midvale, UT 84047

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