This webinar will feature a panel of engineers that have deployed generative AI and their solution is in customers’ hands. You will be able to take away insights on the selection of technology, the process of realizing a solution, pitfalls, nightmares and what the panelists would do differently next time. 

Research Code 2036.

Industry Whispers (SM): Generative AI & Deep Learning in Production – Lessons Learned

Friday, May 24, 2024 10:00 AM – 11:00 AM(UTC-08:00) Pacific Time (US & Canada)

This webinar will feature a panel of engineers that have deployed deep learning and generative AI and their solution is in customers’ hands. You will be able to take away insights on the selection of technology, the process of realizing a solution, pitfalls, nightmares and what the panelists would do differently next time. 

Can’t attend? Register and submit your question anyway, the answer will be on our YouTube channel.

Research Code: 2045

Dr. Doreen Galli has 6 degrees including a Waterloo CS Ph.D. in SIMD data storage and 8 patent held by IBM with 2 more pending at Microsoft. She has led significant and measurable changes at IBM, DPWN, Dell, ATT and most recently Microsoft where she was the platform architect for Azure and CTO in Azure’s MCIGET. She was trained as an analyst by Gartner where she was recognized as an expert in all things data from ingestion, quality, governance, integration, management and all forms and analytics including sensor data.

An All-American Athlete Collegiate Runner, Dr. Galli enhanced her formal education with process improvement certifications of Black Belt, Lean Six Sigma, and Pull Thinking, along with Technology and Network Transformation Certifications from AT&T. She is a Top 25 Women on the Web recipient and a published author with over 200 articles. Her first book, “Distributed Operation Systems” was published by Prentice Hall in English and Chinese. Her second book, “Galli’s Keys to Success: Optimize your College Career” is available via online bookstores. Dr. Galli has been an invited speaker at such distinguished venues as Forbes Executive Summit, CIO Summit, CIO Academy, Grace Hopper, Network+ Interop Las Vegas, Gartner’s Catalyst as well as The Internet Security Conference.

Omer Segal is the Head of AI at Pixellot, overseeing the AI group responsible for researching and developing automated sports production and automatic game highlights generation for Pixellot AI-automated sports camera systems. He has extensive leadership experience as CTO and R&D Director at companies in homeland security, mapping, and sports technology, where he oversaw the development of innovative AI applications. Omer’s project portfolio includes creating land vehicle and aerial mapping and navigation systems, AR applications for archaeological reconstructions, and athletes’ video analysis applications.

Omer holds a BSc and an MSc in Electrical Engineering from Tel Aviv University, specializing in the application of advanced technologies such as deep learning, computer vision, and signal processing.

With 20 years of experience as a Character Technical Director, I bring expertise in motion capture and avatar creation for diverse productions. Originally focusing on rigging for films, commercials, and games, I transitioned to real-time motion capture and game engine rigging over the past five years. Integrating AI into motion capture and avatar systems has been a recent passion, alongside a commitment to exploring new technologies and their synergies. From rigging for TV shows like “The Flash” to contributing to 3D Bitmoji development and virtual concert setups, my journey reflects a dedication to innovation and collaboration in the ever-evolving landscape of AI and entertainment technology.

Heather Osborn was most recently Senior Director of DevOps at Cerebral, an online mental health care company which filled a much needed gap in access to this critical service.

She has worked in technology as a systems and operations engineer and manager for over 25 years. Much of her career was spent working with on premises systems at Ticketmaster, where she helped grow the online presence from a handful of Windows gaming desktops set up as web servers to a global system, a mix of on premises and cloud-based systems that experienced unbelievable surges in traffic whenever a popular event went on sale.

Her more recent career path has been entirely cloud-based, with a focus on AWS and Kubernetes. The goal is to lead teams to creating maintainable, secure infrastructure to enable developer autonomy and rapid iteration.

She will be speaking at Southern California Linux Expo for the second time this coming Saturday with a presentation entitled: Organic Isn’t Always Good for You, which is a discussion of the methodology employed in bringing an organization to a more mature stable infrastructure rather than something that grew organically over time.

She has been actively involved in women’s groups at her companies, including being a charter member of Minority Genders in Tech at Cerebral. She’s also served multiple years as a mentor of young women and girls who are interested in exploring technology. She is drawn to this cause because she’s often been the only woman on a team.

She is also an avid distance runner, technology evangelist, live music aficionado, immersive camping enthusiast, dedicated mother, and cat mom.

Ziyuan(Zac) is the Chief Scientist at Birch.AI, where he spearheads the research and development of LLM and ASR models to automate healthcare call-center workflows. He is responsible for selecting and designing ML models, data processing, production system architecture, and deployment. With over 10 years of experience in speech recognition and natural language processing systems, Ziyuan has a proven track record of delivering production-ready systems for tasks such as classification, named entity recognition, and real-time transcription. Ziyuan holds a bachelor’s degree from Tsinghua University Beijing and a master’s degree from the Johns Hopkins University where he worked at the Center for Language and Speech Processing on projects that led to the creation of many open-source NLP and ASR toolkits