Big data answering healthcare's biggest inquiries

on YouTube ↗08m

" summary

Dell EMC describes concrete hardware and software wins for healthcare analytics: Nvidia GPUs in Dell servers cuts computation from one hour to one minute on intensive workloads, GPUs reach 22 teraflops, servers can host storage inside server up to 100 TB, and Spark yields sub-10 ms latency for real-time use. Use cases include fraud detection, readmission tracking, infectious-disease surveillance and air-traffic–grade control. Architecture places heavy computation in data centers (cloud or on-prem), with a push toward more AI, HPC and billions of IoT endpoints.

AI-written summary · about

" chapters (8)

1. 0:00Introduction
2. 0:18Dell EMC
3. 1:08Healthcare spend
4. 1:51Data and hardware
5. 3:23Future of big data
6. 4:21Realtime ondemand
7. 5:22The future
8. 6:27Conclusion

" related talks

• 33mHealthcare "big" Data from Data Management to Web AppsAndrew Nguyen · Clojure/West 2014
• 31mAI in healthcare: Data driven transformationShahidul Mannan · Global Artificial Intelligence Conference 2020
• 05mHadoop and HealthcareDavid Richards · Strata + Hadoop World London 2015
• 07mBuilding integrated data analytics ecosystemErin Banks · Strata Data Conference 2017 - New York, New York
• 07mModern analytics with Dell EMCPatricia Florissi · Strata + Hadoop World 2016 - New York, New York
• 06mUnleashing intelligence and data analytics at scaleMa Ziya · Strata Data Conference 2017 - New York, New York
• 15mOpen Data Center of the FutureMike Olson · Strata + Hadoop World Conference in Barcelona 2014
• 38mWhat's Next after Cloud Meets Big DataJean Paul Schmetz, Werner Vogels, Florian Leibert, JP Rangaswami, Aditya Agarwal · DLD 2014