October 28–31, 2019
Al Kari

Al Kari
Chief Executive Officer, Manceps

Website

Al Kari is CEO and principal consultant at Manceps, where he leads the company’s mission to augment human capabilities with machine intelligence, with a focus on blending machine learning and artificial intelligence with cloud computing and big data technologies. Al is a Google Developer Expert (GDE) in machine learning, organizer of the TensorFlow-Northwest and OpenStack Northwest user groups, and a strong advocate for open source AI and cloud technologies. Previously, Al was a global cloud evangelist at Microsoft, where he helped top-tier ISV partners onboard on the Microsoft Azure Platform. Al started his career in the mid-’90s as a software architect by founding Softwarehouse overseas before moving to the United States. He later held product and services leadership roles at Dell, where he helped build the company’s virtualization and cloud computing services portfolio; cofounded DetaCloud, a boutique OpenStack engineering powerhouse; and was a principal cloud architect at Red Hat, where he was responsible for helping customers build enterprise-ready cloud infrastructure. A frequent speaker at major industry conventions, Al has been an outspoken advocate for building the future of open artificial intelligence and cloud technologies in support of academic, industrial, and scientific development. He is a standing member of the Cloud Advisory Council, the Linux Professional Institute, and the OpenStack Foundation.

Sessions

11:50am12:30pm Thursday, October 31, 2019
Location: Grand Ballroom A/B
Garrett Lander (Manceps), Al Kari (Manceps)
Average rating: *....
(1.00, 1 rating)
Automated investing has brought an immense amount of stability to the market, but it has also brought predictability. Garrett Lander and Al Kari examine if an adversarial network can game the behavior of automated investors by learning the patterns in market activity to which they are most vulnerable. Read more.
  • O'Reilly
  • TensorFlow
  • Google Cloud
  • IBM
  • NVIDIA
  • Databricks
  • Tensor Networks
  • VMware
  • Amazon Web Services
  • One Convergence
  • Quantiphi
  • Lambda Labs
  • Tech Mahindra
  • cnvrg.io
  • Determined AI
  • Inferencery
  • Manceps, Inc.
  • PerceptiLabs
  • Valohai

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