Xanadu for Big Data + IoT + Deep Learning + Cloud Integration Strategy (YouTube Presentation Video)

Silicon Valley Xanadu Promotional Event Presentation Part I

Big Data in IoT & Deep Learning

Challenges of IoT Big Data Analytics Applications

Challenges of Cloud-based IoT Platform

Cloud-based IoT Platform Use Case: GE Predix for Smart Building Energy Management

Link: https://www.youtube.com/watch?v=tJpsq6pg3Sg

Silicon Valley Xanadu Promotional Event Presentation Part II

Fog/Edge Computing & Micro Data Centers

Deep Learning for IoT Big Data Analytics Introduction

Deep Learning for IoT Big Data Analytics Use Case

Distributed Deep Learning

Link: https://www.youtube.com/watch?v=7GK8RfFbHiU&t=34s

Silicon Valley Xanadu Promotional Event Presentation Part III

Big Data + IoT + Cloud + Deep Learning Insights from Patents

Big Data + IoT + Cloud + Deep Learning Strategy Development

Link: https://www.youtube.com/watch?v=dFmx6vSXPf8

Silicon Valley Xanadu Promotional Event Presentation Part IV

Designing Data-Intensive Applications

Xanadu Functionality

Xanadu Use Case

Xanadu + Deep Learning + Hadoop Integration

Link: https://www.youtube.com/watch?v=Cl_y5sTj-Tk&t=5s

Part I+ II + III + IV Presentation Slide

Link:  https://www.slideshare.net/alexglee/xanadu-for-big-data-iot-deep-learning-cloud-integration-strategy

Xanadu for Big Data + Deep Learning + Cloud + IoT Integration Strategy Presentation

Link: https://www.slideshare.net/alexglee/xanadu-for-big-data-iot-deep-learning-cloud-integration-strategy

Xanadu Cloud Computing Use Case: Protection of PCs from Ransomware

Xanadu Cloud Computing Use Case

Demo: Daeil Foreign Language High School, S. Korea

https://www.youtube.com/watch?v=FQcMrd6Jczw&feature=youtu.be

Xanadu is a key-value NoSQL big data management platform technology that provides fault tolerant ACID property and high throughput/low latency with massive scalability. Xanadu is designed for the heaviest workloads, and supports support concurrent queries without conflict.

Xanadu can be exploited for the back-end storage technology that allows remote client computers can access data and computing/application resources via the standard iSCSI network protocol. With iSCSI supported natively by any operating system, Xanadu makes it easy to securely store and access data from any machine on the network. Xanadu also can be used for providing services that allow remote computer systems to “boot” from a stored system drive image. With diskless units on users’ desks and all data (including the operating system disk) remains in the secure cloud servers, administrators are free to deploy diskless PCs to the desktop with their inherent advantages of higher data security, quicker disaster recovery, smaller office footprint and better energy consumption.

In-built deduplication functionality of Xanadu enable saving of cloud data storage resources a lot. For example, Xanadu can store thousands of 25GB basic Windows 7 disk images in only a few hundred gigabytes of actual storage. Xanadu, therefore, enables a simple and highly efficient means to centrally manage cloud data storage, particularly for standardised PC installations that need to be booted almost identically in many places. Time stamping functionality of Xanadu also offers an efficient snapshot capability that enables users to “reset” their stores to a previous saved “good” state. Especially, this resetting capability will be a good solution for proving protection of client PCs from malwares including notorious Ransomwares.

Xanadu for Protection of PCs from Ransomware.

https://www.youtube.com/watch?v=lB3-mfupjNo&feature=youtu.be

Contact: Alex G. Lee (alexglee@xanadubigdata.com)

IoT + Big Data + Cloud + AI Integration Strategy Insights from Patents

Contents

1. IoT Business Reality

2. IoT Business Model

3. IoT Business Ecosystem

4. IoT Frontiers Insights from Patents

5. IoT Strategy Perspectives from Patents

6. IoT Innovation Exploiting Patents

7. IoT Patent Strategy

8. IoT Startup Patent Strategy

9. IoT + Big Data + Cloud + AI Integration Strategy

Link

IoT Connected Car + Big Data + Cloud Insights from Patents

Link: https://www.linkedin.com/pulse/iot-connected-car-big-data-cloud-insights-from-lee-ph-d-j-d-clp?published=t

IoT + Big Data + Cloud + AI Integration Insights from Patents

Link: https://www.linkedin.com/pulse/iot-big-data-cloud-ai-integration-insights-from-lee-ph-d-j-d-clp?published=t

Mobile Cloud Computing Patents Landscape 4Q 2011

According to the research from Juniper Research, cloud-based mobile market will grow from $400 million in 2009 to $9.5 billion in 2014, at an average annual increase of 88%. (http://www.juniperresearch.com/reports.php?id=324).

To find the key IPR holders for mobile cloud computing patents, a keyword search of the USPTO patent data base has been performed. Total of 332 patents (24 issued patents) are identified as of Oct. 31, 2011. The Key IPR holders are Microsoft, IBM, Novell, Accenture, Computer Associates Think, SAP, Honeywell, Samsung, Avaya, NEC, Vmware, and Google.


©2011 TechIPm, LLC All Rights Reserved
http://www.techipm.com/

Mobile Cloud Computing Test-Bed & Standardization in S. Korea

Korea Communications Commission (KCC) and ministry of knowledge economy (MKE) jointly announced the initiation of mobile computing test-bed. The mobile computing test-bed is a part of the government project planning, ‘Cloud Computing Global Leadership,’ to invest about 0.5 B$ until 2014.

The mobile cloud computing test-bead is one of 8 cloud computing test-bed project and will be operated by public-private partnerships. The five-year government cloud computing project also includes the establishment of cloud computing data center for government agencies.

In parallel with the cloud computing promotion initiation, TTA, which is the main standardization body in S. Korea, is going to push the cloud computing standardization through global standardization bodies.


©2010 TechIPm, LLC All Rights Reserved
http://www.techipm.com/