Kinetica is a vectorized analytics database for real-time analysis of large and streaming datasets at scale. Kinetica leverages the power of modern vectorized processors for faster and more efficient analysis - particularly for streaming spatial and temporal use-cases. Kinetica is available as a service, or as self-managed software in public or private clouds. For more information, and to try the developer edition, visit kinetica.com or follow us on LinkedIn and Twitter.
Hey, enjoyed the video🙌! I'm not really sure if it is the best time to ask but, I was wondering if I could help you create a better distribution by working on post-production like better storytelling through Edits, Keywords, think catchy intros and outros, or even some engaging short clips! Would love to chat if you're interested and keep creating good content:)
interesting video, is it possible to change the position of Langitude and logitude according to the warehouse data that we have, to find out, if I am in Jakarta, Indonesia, can you provide a solution? Please answer thanks
Yes, the location of warehouses are an input to the MSDO solver that is easy to change. The MSDO solver can be applied to any user specified combination of warehouse and delivery locations.
Thanks for reaching out Khamis and for your interest in Kinetica. The best place to get help is through our community slack: join.slack.com/t/kinetica-community/shared_invite/zt-1bt9x3mvr-uMKrXlSDXfy3oU~sKi84qg. Please post here and someone from our team will help you troubleshoot this as soon as possible.
6:30 “individual mobile subscriber … anonymized” … yet, if you were to look at the highest dwell times you would identify their home and office address in a few seconds and with a couple simple web searches, identify the person.
Tony Hale at SFEI does incredible work...bravo to those who partnered to put together this inspiring video. Thank you! I, for one, will be even more mindful.
This just filter capabilities of tool and not a fraud detection demo. Out of home Transactions of over $1000 can’t be treated as fraud. Better show tool capability that detects two physical swipe transactions from same card happening at different geographies in short span of time. Hope tool has those AI/ML capabilities. Better smart solution is demonstrated rather than just a filter..
I know you've probably read loads of comments like this but i've just posted my very first youtube video and I would be super happy if you guys checked it out!!!!
