The computing industry has undergone a dramatic shift in the last five years.  The exponential growth in the power of computer chips by doubling the number of transistors in a dense integrated circuit approximately every two years, known as Moore’s Law is now replaced by an exponential growth of data.   Data volumes are doubling every two years as innovative technologies such as IoT, AI, VR, AR are flooding enterprises with an endless stream of data. The amount of data created every day is estimated at 2.5 quintillion bytes. Data is the new oil. It is just like crude. It’s valuable, but only when refined. You need to break it down and analyze it to extract value. The need to analyze this vast amount of data to extract value is being addressed using concepts such as edge computing or fog computing. However, what exactly is needed is ambient computing. Ambient computing is the local computing surrounding on all sides – omnipresent. The ambient computing paradigm builds upon computing available in things around us. However, these things do not work as individually smart but work together as a team. Think, massively distributed device networks around you: * Recognizing you and your situational context * Changing in response to you * Anticipating your desires without conscious mediation Ambient computing does not mean that we will not need cloud computing anymore * The idea is to divide the workload so that processing is closer to the point of interaction * Think of this as a method of accelerating and improving the performance of cloud computing * Smarter partitioning of data processing between point of interaction & cloud It will be achieved by adding intelligence and capabilities into our surroundings. The Compute will disappear around us. You need to start exploring how you will enable ambient computing.

1. Local Computing
For Big Data
Ajay Malik
CTO

2. Moore’s law Big Data
Doubling the number of
transistors in a dense
integrated circuit
approximately every
two years
Data volumes are doubling
every two years as
innovative technologies such
as IoT, AI, VR, AR are flooding
enterprises with an endless
stream of data

3. Internet Of Things
Smart Buildings/Cities,
Connected Self
Mobile
Experience
Mobility, Virtual Reality,
Augmented Reality
Analytics
Cyber Security,
Location Analytics
Artificial
Intelligence
Machine Learning,
Speech Recognition
Cloud
Computing

4. Network
Performance
Unit Economics
Data Sovereignty
Business
Continuity
Challenges in Cloud Computing

5. Network Performance
Speed
Latency
Capacity
Geo-Location Optimization
Scale

6. Unit Economics

7. Business Continuity
Cable Cuts
Power Failures
Cyber Attack
Bugs

8. Data Sovereignty
Security Privacy Compliance

9. The Missing Piece

10. Computing available near the point of interaction!

11. Compute in
the Device
Back to the
Server Room
Local Micro
Data Center

12. Ambient Computing
Local computing surrounding on all sides – omnipresent.
The ambient computing paradigm builds upon computing available in
things around us. However, these things do not work as individually smart
but work together as a team. Think, massively distributed device networks
around you:
ü Recognizing you and your situational context
ü Changing in response to you
ü Anticipating your desires without conscious mediation

13. Lighting
Access
Points
Camera
Therm-
ostats
Fans
Power
Controls
Windows
Door
Locks
Mobile
Devices
Sensors
Appl-
iances

14. 3rd Wave of Computing
Cloud
Computing
Personal
Computing
Ambient
Computing

15. ü Ambient computing does not mean that we will not need cloud
computing anymore
ü Theidea istodivide the workload sothat processing iscloser tothe point of interaction
ü Think of this asa method of acceleratingand improving the performance of cloud computing
ü Smarter partitioning of data processing between point of interaction& cloud
ü It will be achieved by adding intelligence and capabilities into our
surroundings. The Compute will disappear around us.
ü You need to start exploring how you will enable ambient computing.

17. LinkedIn: https://www.linkedin.com/in/ajaymalikatyahoodotcom/
80+
Patents Author Awards Technologies Organizations
SDN WI-FI
RFID RTLS IOT
CLOUD/SAAS Responsible for
Revenue upto
800M
Managed teams
small to 400+
IIT Roorkee
Ajay Malik
Ex-Google, Ajay Malik is CTO of Lunera and responsible for creating the
vision for the company; lead the technology development to realize
this vision and evangelize the technical approach. Ajay joined Lunera
from Google, where he was head of architecture and engineering for
the worldwide corporate networking business. Prior to Google, Ajay
held executive leadership positions at Meru Networks, HP, Cisco and
Motorola.