Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...Shirshanka Das
Just when you think you have your Kafka and Hadoop clusters set up and humming and you’re well on your path to democratizing data, you realize that you now have a very different set of challenges to solve. You want to provide unfettered access to data to your data scientists, but at the same time, you need to preserve the privacy of your members, who have entrusted you with their data.
Shirshanka Das and Tushar Shanbhag outline the path LinkedIn has taken to protect member privacy in its scalable distributed data ecosystem built around Kafka and Hadoop.
They also discuss three foundational building blocks for scalable data management that can meet data compliance regulations: a centralized metadata system, a standardized data lifecycle management platform, and a unified data access layer. Some of these systems are open source and can be of use to companies that are in a similar situation. Along the way, they also look to the future—specifically, to the General Data Protection Regulation, which comes into effect in 2018—and outline LinkedIn’s plans for addressing those requirements.
But technology is just part of the solution. Shirshanka and Tushar also share the culture and process change they’ve seen happen at the company and the lessons they’ve learned about sustainable process and governance.
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
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Taming the ever-evolving Compliance Beast : Lessons learnt at LinkedIn [Strat...Shirshanka Das
Just when you think you have your Kafka and Hadoop clusters set up and humming and you’re well on your path to democratizing data, you realize that you now have a very different set of challenges to solve. You want to provide unfettered access to data to your data scientists, but at the same time, you need to preserve the privacy of your members, who have entrusted you with their data.
Shirshanka Das and Tushar Shanbhag outline the path LinkedIn has taken to protect member privacy in its scalable distributed data ecosystem built around Kafka and Hadoop.
They also discuss three foundational building blocks for scalable data management that can meet data compliance regulations: a centralized metadata system, a standardized data lifecycle management platform, and a unified data access layer. Some of these systems are open source and can be of use to companies that are in a similar situation. Along the way, they also look to the future—specifically, to the General Data Protection Regulation, which comes into effect in 2018—and outline LinkedIn’s plans for addressing those requirements.
But technology is just part of the solution. Shirshanka and Tushar also share the culture and process change they’ve seen happen at the company and the lessons they’ve learned about sustainable process and governance.
What is Artificial Intelligence | Artificial Intelligence Tutorial For Beginn...Edureka!
** Machine Learning Engineer Masters Program: https://www.edureka.co/masters-program/machine-learning-engineer-training **
This tutorial on Artificial Intelligence gives you a brief introduction to AI discussing how it can be a threat as well as useful. This tutorial covers the following topics:
1. AI as a threat
2. What is AI?
3. History of AI
4. Machine Learning & Deep Learning examples
5. Dependency on AI
6.Applications of AI
7. AI Course at Edureka - https://goo.gl/VWNeAu
For more information, please write back to us at sales@edureka.co
Call us at IN: 9606058406 / US: 18338555775
Facebook: https://www.facebook.com/edurekaIN/
Twitter: https://twitter.com/edurekain
LinkedIn: https://www.linkedin.com/company/edureka
2. 装具の定義とは?
Donald Medical dictionary. 2005
• Orthosis
変形の防止、変形した四肢を指示するもの、矯正、 身体部
位のアライメントを整えるもの
!
• Sprint
可動部位や脱臼等の部分の固定のために使用される
肋木(添え木)的なもの
補助具としての意味合いが強い
3. ガイドラインから読み解く上肢装具の役割
脳卒中の分野でも上肢に関しては補助具の扱い
Lancet neurology stroke rehabilitation guideline, 2011
Sprint or orthosis: external removal device that can be
used to improve functional movement, reduce spasticity
and pain, or prevent contractor, overstrething, and
edema
装具とは、手の機能の向上、痙縮や痛みの減退、筋萎縮や過
伸展、浮腫を防ぐために用いる末梢の取り外しが可能な道具
4. 脳卒中患者への装具療法の効果
Lancet neurology stroke rehabilitation guideline, 2011
Leg(下肢装具)
Uncertain benefit (Recommendation Grade B)
Ankle-foot orthsis for foot drop, selected use
下垂足に対する足関節装具は対象を選べば推奨
Arm(上肢装具)
Unknown benefit (Recommendation Grade C)
Sprinting or orthosis for arm function not recommendation
手の機能改善のために装具療法は推奨しない