Networking, Webinars, Conferences
Please browse through our events and webinars; we hope you find the information useful. You can find our past webinars, along with other useful content, in the Collateral section. If you are prompted for your contact details you will only have to enter them once.
May 26, 2021, Online Webinar
Register today for Smartlogic’s AI panel discussion with panelists Jeremy Bentley, CEO, and Founder Smartlogic; Dan McCreary, Distinguished Engineer – AI, Optum; and Jans Aasman, CEO Franz, on Wednesday, May 26th at 11 am Eastern. If you are unable to join the live event, register anyway to receive playback information.
June 02, 2021, Online Webinar
Smartlogic's next User Community Forum will be held on Wednesday, June 2nd at 11:00 am Eastern. Sign up today!
September 07, 2021, Online Training
Smartlogic provides training so your team can get the most from our Semaphore model management, classification, and extraction tools. Semaphore Foundation Training for end-users will begin the week of September 7th, 2021. This virtual training course is a 4-week, online, self-paced series of slides, student exercises, and instructor interaction.
October 11, 2021, Online Training
Smartlogic provides training so your team can get the most from our Semaphore model management, classification, and extraction tools. Semaphore Advanced Training for end-users will begin the week of October 11th, 2021. This virtual training course is a 4-week, online, self-paced series of slides, student exercises, and instructor interaction.
November 15, 2021, Online Training
Smartlogic provides training so your team can get the most from the Semaphore platform. Smartlogic will be conducting a Semaphore Fact Extraction Framework (FACTS) Training Course beginning the week of Nov 15th, 2021.
November 29, 2021, Online Training
Smartlogic provides training so your team can get the most from our Semaphore model management, classification, and extraction tools. Semaphore Administration Training will begin the week of Nov 29th, 2021. This virtual training course is a 2-week, online, self-paced series of slides, student exercises, and instructor interaction.
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