The document discusses major developments in internet and technology over the past 25 years. It covers the evolution from the early PC internet age to the mobile internet age to current trends. Some key points:
- The internet has progressed from basic infrastructure and browsers in the 1990s to today's app economies, cloud computing, and mobile dominance.
- Emerging areas discussed include internet of things, artificial intelligence, robotics, virtual reality, smart cars, and wearables. However, many face challenges around standards, costs, and defining killer applications.
- Current IT focuses on automation, machine learning, data analytics, and security across cloud environments and enterprise applications. The document questions if recent tech bubbles may be due to hy
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what_is_next _now_ppt
1. WHAT IS THE NEXT?
After 25 years of Internet Booming
2. 25 years of internet related developments
An Attempted Philosophical Reflection
Haobin Zheng
3. ? The internet infrastructure
? IT driven
? Smart phone
? Computer science(algorithm, open source, programming)
? App economy
? Share economy
? Afterwards
4. THE INTERNET (1)
TCP/IP technology as the basis starting at 70s by Defense Department
Internet Browsers: Netscape, IE (1990 - 2000)
Emails: hotmail/yahoo/gmail (1992 - 2000)
Internet Access: AOL/Globlenet
PC Messenger: ICQ/MSN/Yahoo Messenger/QQ
Equipments: Cisco/Juniper/ALU /Huawei(1993 - 2007)
VOIP/IP Phone: Cisco/Avaya/
5. THE INTERNET (2)
Search: Google/Yahoo/Ask/Baidu(1997 - 2005)
Online payment: Paypal/Ö§¸¶±¦ (2000 - 2010)
Social Media: Myspace/Facebook/Twitter/Instgram/Linkedin(2005 - 2015)
Ecommerce: Amazon/Ebay/Baidu (1999 - 2015)
Online Gaming: Zynga but later Tencent/Microsoft/Sony/EA (2004 - 2015)
Online videos: Youtube/Lulu/Letv (2005 - 2013)
Web Conference: Webex
6. THE INTERNET (3)
Online dating: Match/eHarmony/ÊÀ¼Í¼ÑÔµ
Online traveling: Travelocity/Priceline/Orbitz/Ctrip
7. THE PC INTERNET AGE(1995-
2005)
WHY WAS IT THE TIME?
Physical world needs digital
connections(revolutionary)
Digital communications and
transactions dramatically improved
productivity and efficiency while
lowering cost
Technologies ready (TCP/IP,
client/servers, PC/Unix, Intel,
ASIC, database)
Government
Silicon Valley
8. THE PC INTERNET AGE(1995-
2005)
HOW ?
Huge wave from 0 to 1
Infrastructure build out
took place in <10 years
Move transactions and
human communications to
digital format
The world has become
cheaper and faster
9. MOBILE INTERNET AGE(2005-
2015)
WHY
Migrate PC experience to mobile
Maturity of 3G/4G technologies
iPhone makes smart phone as a
computer
Maturity of components(ARM,
display, memory,OS, etc)
Continuously improve
productivity and efficiency and
lowering cost
10. MOBILE INTERNET AGE(2005-
2015)
HOW ?
Apps, Apps, Apps
Migrate from PC to Mobile
Consumer apps leads while
Enterprise laggs
Brief pains from PC players:
Facebook, MS, Google
Enterprise apps are harder
to be mobile but coming!!
11. MOBILE INTERNET
App economy
IM (Whatsapp/Wechat/Line etc)
O2O: Uber/Airbnb/Many Chinese startups
Mobile gaming: Tencent
LBS: Square /Apple apps
12. IOT
Will be bigger than the Internet!!
Just like we claim IPv6 will come, we don¡¯t know when IOT will come
Various sensors
Smart Home: Nest etc
Transportation
Tracking goods
No business model yet
13. MOBILE INTERNET AGE(2005-
2015)
STATUS
Smart phones become
commodities
Apps saturate(too many and too
few great)
SP lack motivation to upgrade
networks(more expensive)
Harder to squeeze productivity,
efficiency and cost.
Physical movement is dragging
(freeway, flight, people)
14. CLOUD
(2010-2015)
Theme: cheaper, easier and faster
Squeeze more: IT productivity,
efficiency, and cost.
Make compute/network/storage
as commodity
Almost there(AWS as the symbol)
Will be painful for many IT
people
15. CLOUD
SECURITY WILL BE THE THEME
Cloud Services : AWS/Azure/Google cloud/IBM
Cyber security: PAN/Fireeye and many security companies
White Box: Big Switch/Mirantis/Picca8 etc
SDX: Software Defined XXX(SDN etc)
Cloud Storage: Box
Big Data: AWS and startups
Machine learning: many startups
XAAS: SalesForce/Workday
17. SOME BREAK DOWNS FOR 2016
Cloud Infrastructure:
Cloudera/Zuora/Mirantis/Docusign/Nutanix/Docker/Backet
Computing
Security:
Tenable/Okta/Checkmarx/Illumio/Tanium/CloudFlare/CrowdStr
ile/HackerOne
Enterprise IM: Slack
Video Conference: Blue Jeans Network
CRM/CPM: Insidesales/Apttus/Gainsight/Adaptive
Insights/6Sense
18. SOME BREAKDOWNS FOR 2016
(Enterprise) App: Xamarin/AppAnnie/Twillo/Mixpanel/Similar Web
Online payment: Stripe/Payoneer
Cloud Services: DigitalOcean(compete with AWS etc)
Big Data: Tidemark(smarter splunk)/6Sense/Confluent(Kafka)/AtScale
Enterprise Social: Sprinklr/Interana
Education: Udacity/Stack Exchange
Data Storage: Qumulo/Hedvig
19. SOME BREAKDOWNS FOR 2016
SDN: Cumulus Network
Database: Mesosphere(Mesos)/Realm
OS: CoreOS
O2O: Gesoo
20. SUMMERY: ARE THESE WHAT
SILICON VALLEY IS DOING FOR
EXISTING IT?
Themes: Security and clouds
Digger dipper into existing categories:
? Cloud
? Securities
? Big data
? SDN
? O2O
? Apps
? Social(move to enterprise)
22. WHAT IS DIFFERENT NOW?
LOOK BACK: WHY INTERNET WAS BOOMING?
Human behaviors mapped into digital
Common languages(standards)
Collaboration(communication)
Protocols (TCP/IP)
Open(standard and compliance)
Driving toward commodity
Everyone(at least average people) can involve/work
Collection of efforts and progress
Hardware and software vendors follow standard
23. WHAT IS DIFFERENT NOW?
NEW STUFF: THEY ARE ELITE BUSINESS
Not grass root games: They are big player¡¯s game
Not necessarily need protocols/standards
Not necessarily need common platform(like Android)
Much more advanced technologies
Might not be single visionary-driving(like Steve Jobs) for
revolutionary breakthrough
Most like fancy stuff not daily-based-stuff(like smart phone)
24. AI
WHAT IT IS ?
Interest have come back a few times
Movie AI a decade ago
AIs has been researched for many decades
Individualism
Very difficult
Only elite researchers
No standards
Improvements and break through are majorly based on algorithms
25. AI
WHY NOW?
AI is needed to solve many problems associated with the progress of internet(perhaps the
biggest drive)
data analytics
Monetize data
Some algorithms can be implemented into applications
Faster computing makes AI possible
Stagnant for many years
Human collaboration has been maximized
Another example: super smart individual can cause huge progress
26. ROBOTICS
Another hope to boost productivity
Hypes in the 70s and 80s ( in my student age)
Fade at 90s when Internet was booming
Growing in industrial applications such as manufacturing
Some home applications such as iRobots
Military robotics will be used at domestic applications
27. ROBOTICS
Still expensive
Can only accomplish specialized task such as floor
cleaning
Still a nice-to-have category before hitting ¡°must-to-
have¡± critical mass.
Hard to define ¡°where do I need a robot¡±
28. VIRTUAL REALITY(VR)
Move computer vision to gaggles
Complicated technologies combining optics, computer,
visions, etc.
Interactions of human gestures and computer
Applications: Games, Entertainment, Training etc.
A big break through for experiences
29. VIRTUAL REALITY(VR)
Entry barrier is very high(investment)
Very few applications
Could be a game for big players (FB, MS, Sonny, Samsung etc)
User habit (same problem with Google glass)
Conditions to boom:
1. Need a killing app as catalyst (Avatar in 3D movies)
2. Maturity of many technologies
3. Need a platform to encourage entry(such as Android, open source hardware etc)
4. Entry barrier lowered to boost competition and innovation
30. SMART CARS
Some governments might fear of it(HK for example)
Possible ultimate driving forces:
It is not for convenience but for sharing (do I want to sleep while driving?)
Most automobiles are parking 90% times (think about commute cars)
Smart cars can reduce car ownership (don¡¯t buy a car any more)
lower living cost and help environment (congestions and pollution)
Improve life quality (self driving when tired)
Improve productivities (work from automobiles)
31. SMART CARS
Regulations might slow it down
Small incremental features are feasible: parallel parking, entering garage etc)
Software based feature(software might crash)
Semi-auto: think about auto-pilot in airline while you still need a co-pilot to
wake up.
Who is liable when things break? driver or manufacturer.
Still a long way to go? think about many recalls for mature features,: air-bags,
brakes, steering.
32. WEARABLES
Sensors attached to human body + Smart phone
Improve health and well being
Existing killing apps: wrist bans
Will become sophisticated along with components
Smart watches, sports wearables(golf, bike, ski, etc), clothes.
Simple app has been commodity (Fitbit, Xiaomi ban)
33. WEARABLES
Now two sub-categories of developments:
1. Sophisticated computer attached to body(Apple watch): U.S. vendors may prevails
2. Specialized commodities( wrist ban, clothes etc): Asian vendors may prevails
The biggest question: want or need?
Smart watch will be a big hope (many people still want to wear watch)
Clothes: Nike and Under Armour will kill most small players
Apple watch might not win this time:
Do I need so many apps in a watch?
Do I want to use the side button to do a lot of things?
If iPhone is becoming bigger and bigger, should I used my iPhone to control the watch?
Do I want to use my watch to send message, take picture, talk?
34. WEARABLES
Technologies might not be the bottle necks
Need new eco-systems: medicare use case for example.
More wearables might become a burden(think about
the time you needed to carry pagers and smart phone)
If smart watch can consolidate multiple functions,
other wearables devices might be redundant.
35. REALITY CHECK: WHERE IS IT
GOING FROM NOW?
Cloud
Data Analytics
Automation
Enterprise Apps catch-up
Security every where
Machine learning
36. THEMES FOR TODAY IT
Automation
Almost everything needs to be automated
Simplicity with management
Single pane of class
Software driven
Leverage software to make change fast and distribute the change out
Machine learning
Learn changes/events by algorithm, abstract patterns/attack and input to the automation process
Intelligence center
Collect all information from network/server/storage
Process and make decisions
37. RECENT BUBBLE BURST
Thoughts for FANG tumble
1. Software hypes have gone too fast?
2. Macro: IT spending is adjusting?
3. Time to look at value and fundamental?
4. Incremental from 1 to n?
38. QUESTIONS FOR WHAT IS
NEXT?
Virtual/digital has gone too fast?
Physical world is lagging too much?
Need time to absorb both the joy and pain?
Silicon Valley is moving faster and faster comparing to
the rest of the world?
How much can we squeeze ourself as human being?
39. QUESTIONS FOR WHAT IS
NEXT?
What else can we share besides cars and house(Uber and Airbnb)?
When salary doesn¡¯t go up, does it mean we should consume less?
(cheaper cars/computers/food/house etc)
If human can not continuously innovate new things, does it mean
we should continuously save more or share more? (i.e. new shared
economy companies like Uber/Airbnb)
If human can not learn new skills fast enough, does it mean we
need more services jobs? (entertainment/restaurants for example)
40. QUESTIONS FOR WHAT IS
NEXT?
Has digitalization been accomplished yet?
Has O2O been done yet?
Will 2016 be a consolidation year?
Has software been a hype?
Has cloud still been too early a game?
Overall, has Tech been a bubble that will be burst this year?