3. "Big data is high
volume, high velocity,
and/or high variety
information assets
that require new
forms of processing to
e n a b l e e n h a n c e d
d e c i s i o n m a k i n g ,
insight discovery and
process optimization."
1/4
18. ¡ IT, from infrastructure to applications,
is delivered and consumed as a service
over the network
¡ Services operate consistently,
regardless of the underlying systems
¡ Capacity and performance scale to
meet demand and are invoiced by use
¡ Services are shared across multiple
organizations, allowing the same
under-lying systems and applications to
meet the demands of a variety of
interests, simultaneously and securely
¡ Applications, services, and data can be
accessed through a wide range of
connected devices (e.g., smart phones,
laptops, and other mobile internet
devices)
Characteristics
4/4
32. ¡ In 1990 (twenty-five years ago), he predicted
§ That computer would defeat a world chess champion by 1998. Then in 1997, IBM’s Deep Blue
defeated Garry Kasparov
§ That PCs would be capable of answering queries by accessing information wirelessly via the
Internet by 2010. He was right!
§ That by the early 2000s, exoskeletal limbs would let the disabled walk. Companies like Ekso
Bionics and others now have technology that does just this, and much more
¡ In 1999, he predicted……
§ That people would be able talk to their computer to give commands by 2009. While still in the
early days in 2009, natural language interfaces like Apple’s Siri and Google Now have come a
long way
§ That computer displays would be built into eyeglasses for augmented reality by 2009. Labs and
teams were building head mounted displays well before 2009, but Google started
experimenting with Google Glass prototypes in 2011
¡ In 2005, he predicted……
§ That by the 2010s, virtual solutions would be able to do real-time language translation in which
words spoken in a foreign language would be translated into text that would appear as subtitles
to a user wearing the glasses. Well, Microsoft (via Skype Translate), Google (Translate), and
others have done this and beyond. One app called Word Lens actually uses your camera to find
and translate text imagery in real time.
33. ¡ By the late 2010s
§ Glasses will beam images directly onto the retina.
§ Ten terabytes of computing power (roughly the same as the human brain) will cost about
$1,000.
¡ By the 2020s
§ Most diseases will go away as nanobots become smarter than current medical technology
§ Normal human eating can be replaced by nanosystems
§ The Turing test begins to be passable
§ Self-driving cars begin to take over the roads, and people won’t be allowed to drive on highways
¡ By the 2030s
§ Virtual reality will begin to feel 100% real
§ We will be able to upload our mind/consciousness by the end of the decade
¡ By the 2040s
§ Non-biological intelligence will be a billion times more capable than biological intelligence
(a.k.a. us)
§ Nanotech foglets (self-reconfiguring modular robotics) will be able to make food out of thin air
and create any object in physical world at a whim
¡ By 2045
§ We will multiply our intelligence a billion fold by linking wirelessly from our neocortex to a
synthetic neocortex in the cloud.
34.
35. ¡ 2018 – 2019: Self-driving cars let human drivers relax
behind the wheel
¡ 2019 – 2020: 5G connectivity becomes the norm, replacing
4G; traveling into space becomes a leisure activity;
eyewear comes equipped with tiny displays that project
into the wearer's retina
¡ 2026: Humans hand off household chores to domestic
robots
¡ 2030: Displays can be embedded into human skin and
powered by the blood
¡ 2034: Manned missions to Mars begin
¡ 2036 - 2037: Materials are transported from the surface of
the earth into space using an elevator-like structure
¡ 2037 - 2038: Anti-aging drugs make us all look young and
lovely forever
36.
37.
38.
39.
40.
41.
42.
43.
44.
45.
46.
47. ¡ Social Business
¡ Gamification
¡ Enterprise Mobility
¡ User empowerment
¡ Hyper-Hybrid Cloud
¡ Big data
¡ G e o s p a t i a l
visualization
¡ Digital Identifiers
¡ Measured innovation
¡ O u t s i d e - i n
architecture
58. STUDY AREA RESEARCH OPPORTUNITY
Evolution Genetic Algorithms
Bio-degradation Biodegradability prediction
Life Cellular automata
Ants, Termites, Bees Emergent systems
Brain Neural Networks
Life Artificial Life
Immune System Artificial Immune System
Patterning of animal skins, bird feathers
etc.
Rendering in computer graphics
Epidemiology and spread of disease Communication Networks and protocols`
Intra membrane molecular processes in
the living cell
Membrane computers
59. Industry vertical Present state Future potential
Access
No connectivity Wireless
Electromechanical meters Smart meters (AMI)
Energy
Incandescent lighting LEDs
Energy shortage Green energy/energy efDiciency
Healthcare Accessibility and cost Affordable devices/Telemedicine
Education Limited education Digital classrooms/virtual classrooms
Digitization Analog to digital Electronic society/Unique ID/TV, radio
Security Human dependence Integrated surveillance systems
Others (e.g.
Automotive)
High cost, High emission cars Low cost, Zero emission cars
61. ¡ Current market conditions and outlooks are mixed for the next few years, largely
because of the fragile global economic outlook
¡ The automotive and industrial markets for semiconductors offer significant
growth potential
§ The automotive market will be driven by the number of vehicles produced in Brazil, Russia,
India and China, and by an increase in the average semiconductor content per vehicle
§ The industrial sector is growing because of increasing energy demands, a continuing trend
toward renewable energies and the expansion of high-speed rail transportation
¡ Market Drivers
§ Data Processing application market à Tablet
§ Communications market à Smartphone
§ Consumer Electronics à Digital Set-Top-Boxes
¡ China will cement its dominant position and increase its market share of global
semiconductor sales to half of the worldwide market
¡ To meet global demands, global production capacity for semiconductors will
increase
¡ Overall production capacity is sustaining progress toward smaller feature sizes
and larger wafer diameters
¡ Operating profitability is back on the positive side of the ledger, except in the
memory and back-end processes subsectors, which face strong competition and
cycles of overcapacity
¡ Working capital is back to normal levels
64. ¡ Design Companies-Companies which design ASICs/ASSPs/ Microprocessors
§ MediaTek, Qualcomm, TI, ADI, Intel, AMD
§ BTech/MTech pass-outs with customized training (Industry ready)
¡ EDA Companies Company that provides the tools in the ASIC Flow.
§ Synopsys, Cadence, Mentor
§ BTech/MTech pass-outs trained with their company tools so that they can influence
indirectly the decisions made by the potential customers and mainly to reduce the
support cost as these set of trained engineers will “support themselves”
¡ Design Services Companies
§ Wipro, Tata Elxsi, Smartplay etc
§ BTech/MTech pass-outs with customized training (Industry ready)
§ BTech/MTech pass-outs with good project management skills and soft skills
§ BTech/MTech pass-outs with customized advanced technology training (Industry
placement ready)
¡ Soft/Hard IP Companies -Company that provides Intellectual blocks (IPs) that can
be plugged into the product
§ Processor (Embedded) Core IP : ARM, MIPS
§ DSP IP companies
§ Memories – Synopsys, Cadence
§ Connectivity IPs – Cadence, Synopsys
§ Similar to Design Companies
66. ¡ Create a differentiator
§ Building Blocks – Learn to stitch them together
§ Connect concepts to Application
§ Understanding the problem statement – Refining the problem statement,
stating the unstated
§ Improve Debugging Skills
¡ Good percentage/CGPA
¡ Additional credit/certification courses
¡ Additional workshop credits
¡ Independent Mini Project and Final Project
¡ Internship
¡ Conference Paper submissions - College, National & International
¡ Participation in extra curricular activities
¡ Improve your writing and presentation skills
¡ Solve puzzles !
¡ Be up to date on latest technology trends, productivity tools and social
media platform
¡ Do your master program
67. ¡ Supplement your classroom knowledge online
§ Free computer science video courses at
§ Stanford Engineering Everywhere (see.stanford.edu)
§ MIT Open Courseware (ocw.mit.edu)
§ IITs and IISc. Courses (nptel.iitm.ac.in)
§ KhanAcademy.org
§ TedEx and TED
¡ Develop software in college
§ Paid or unpaid positions on campus
§ Research Assistants for Professors (no task is below you)
§ Publish applications on Apple AppStore, Windows Phone
Marketplace, Android Market (one to two week effort)
§ Publish websites for your community using free tools
(WordPress, Facebook, etc.)
68. ¡ Company websites, blogs, newsletters and press releases
¡ Social Media
§ Facebook (Like company page)
§ YouTube (Watch speeches of key industry leaders, events, TED)
§ Twitter (Follow Tweets)
§ LinkedIn (Reviews)
¡ Books
§ Autobiographies for historical perspective
§ Books by major players in the target industry
¡ Movies
§ The Social Network, Pirates of the Silicon Valley, Wall Street
¡ Industry Association and Conferences
69. ¡ Own your own growth
§ Watch Stanford/ MIT courses to get different perspective from
different professor (Even if all your teachers are great!)
§ Maximize learning by offering to work on challenging projects
(Do not sit idle, you will not grow)
¡ Look for long term success, not the immediate salary
§ Focus on quality of projects offered, overlook designations
§ Sometimes companies offer a high package for unattractive jobs
(e. g. hours, timings, traveling job etc.)
§ Give examples from relevant technology or projects during your
interviews
¡ Everyone gets only 24 hours in day
§ Use time wisely
§ Avoid peer pressure