This document discusses the need for academia and industry to work together. It notes key technologies like cloud computing and big data that students should learn. It also identifies skills gaps like technical skills with current technologies, analytical thinking, and soft skills. The document advocates for changes like using modern programming languages, hosting apps in the cloud, and more industry collaboration through internships and projects. The overall message is that academia must work with industry to understand skills needs and ensure students are learning the right technologies and skills for future careers.

1. A Confluence of Academia & Industry

2. Seema Shah

3. Mainframe Grid Computing Cloud Computing

4.  Faculty :  Students :
 Content  What do they learn?
 Teaching  Learning methods
methodology  Developing
 Delivery mechanism appropriate skillset
 Feedback
 Encouraging
creativity
“Education is the kindling of a flame, not the filling of a
vessel.” ― Socrates

5.  Institute: Quality of graduates and
employability
 Teaching learning processes
 Research activities
 Use of technology in classrooms
 Use of laptops, handhelds, ipads and even
mobile devices, online testing, LMS, CMS etc.
 Real life applications and Live projects

6.  Web
 Data Centres
 Utility Computing
 Service Computing
 Grid Computing +
 P2P Computing
 Cloud Computing
 Market-Oriented
•Ubiquitous
Computing
access
 … •Reliability
•Scalability
Paradigms •Autonomic
•Dynamic
discovery
•Composability
•QoS
•SLA
•…
Attributes/Capabilities

7.  Are we geared to produce the skill set
needed tomorrow ?
 Are we producing engineers for the next
generation?
 Do we know the technologies which are
needed today and even a few years down
the line?
 Are we inculcating hunger for
knowledge among students ?
 Is qualitative research happening in
Institutes?

8.  Cloud computing
 Big data

9.  Industry Institute Interaction
 Understand the gap
 Skillset gap:
 Attitude
 Technical skills (technologies which are relevant
today and tomorrow)
 Logical and Analytical thinking skills
 Learning to Learn
 Communication skills
 Team work

10.  Move from traditional structural programming
platforms to python, Ruby on rails, Spring etc.
to do app development on various web
enabled devices used

11.  Range of
portable
devices
 Web enabled
apps
 Hosted on
cloud
 Using
Hadoop

12.  Encourage students to apply concepts, relate to
live scenarios
 Internships in Organizations and within and
Institute
 Live projects
 Maintain Institute website, VIOLA 3.0 , V
Print, Vrefer, V place, V
Feeds, VAiOS, Live@edu, On demand
information, and many more
 Strong focus on enhancing Faculty competency
 Enhance Industry Institute Interactions and
alliance programs

14. Initiated in 2010
 Faculty STTPs
 Faculty Lounge
 PIVOT-2010, Industry Academia meet
 Daily technical feeds:
http://www.facebook.com/EMCacademicalliance
 EMC webinars
 Expert talks by seniors from Industry
 Certification benefits
 Many more

15. Mega trends in IT:
Cloud Computing and Big Data:
Are here to stay.
Deployments and usage will increase over a
period of time.
Is the Academia ready to join this journey?

16. “Coming together is the beginning. Keeping
together is progress. Working together is
success.”
― Henry Ford