3. Business Models are changing
Access to information on an
unprecedented scale
Ford repair example
Pricing information, Reviews
Speed of delivery
People expect an omni-channel
experience
4. What is driving technology change?
Costs – looking for ways to accomplish more for
less
Capabilities – looking for ways to do more and
create completely new business segments
Security – Protecting information is critical
Capacity – Constant need for more/better/faster
Speed – Getting to market quicker
6. What is Cloud Computing?
It is not just Hosting.
"Cloud Computing", by definition, refers to the on-
demand delivery of IT resources and applications via
the Internet with pay-as-you-go
pricing. ... Cloud Computing provides a simple way
to access servers, storage, databases and a broad
set of application services over the Internet.
Growing over 20% per year. $106 Billion in 2016
9. Office 365 – Cloud Productivity
Data and applications available everywhere and on any
device (including iPhone)
Seamless integrated communications (chat, email, video,
video conferencing, shared screens, soon all of your voice
needs)
Co-editing documents
Always have latest versions – 5 licenses per person
Virtual workforce, Virtual companies
12. IoT
The Internet of Things (IoT) refers to the ever-growing network of
physical objects that feature an IP address for internet connectivity,
and the communication that occurs between these objects and other
Internet-enabled devices and systems.
Fitbit – Apple watch
Smart homes
Smart cars
Rapid advances in sensor technologies and significant cost reductions
Today 4.6 Billion devices, by 2020 Gartner expects there to be 26 Billion
connected devices
15. Big Data
Developed by the big internet companies
Distributed Processing
Very large data sets
High availability, fault tolerant
Netflix and Cassandra example
Library of Congress – 23 Million Books – estimated to be 14 TB
Ebay customer behavior data set – 71,000 TB
Twitter – 500 million new tweets a day
17. Big Data Challenges
Data is doubling every 18 months
Very different from RDMS (Oracle, SQL Server,
DB2, MySQL, etc.)
Complex to implement – Mostly Linux
Text and unstructured data represents 90% of
all data
18. Big Data Capabilities
Basically unlimited data size – Linear scaling
Ability to go through most any kind of data
Derive benefits without preconceptions
Discovery then design (California Example)
Lower costs, greater flexibility
Access data in native formats
Create a competitive advantage
24. DevOps
Evolution from Agile
Integrates the entire service lifecycle from
development to production support
Tied in with many new supporting tools and
technologies
Getting away from big release model to
continuous integration
No more versions
26. And so much more!
3D printing
Manufacturing as a service
Everything as a service
Machine learning
Device Mesh
Adaptive Security
Autonomous Agents and Things
Drones