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Technology in 2016
CHANGE IS ACCELERATING
Lots of new terms
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
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
Cloud Computing
HOW IT IS GROWING
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
What is The Cloud?
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
Seamless communications integration
Internet of Things
(IoT)
AND THE INTERNET OF EVERYTHING (IOE)
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
Big Data
HADOOP, CASSANDRA AND LOTS MORE
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
Distributed Processing
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
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
Containers
SOFTWARE DEVELOPMENT IS CHANGING
Containers
 A new way to deploy and manage
applications
 Fundamentally changes the software
deployment process
Containers are flexible
Orchestration
 Manage and deploy containers
Different environments
Different platforms
Scales rapidly
Fault tolerant
Manages testing and deployments
DevOps
NEW WAYS OF MANAGING PROJECTS
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
Is it worth it?
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

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Technology in 2016

  • 1. Technology in 2016 CHANGE IS ACCELERATING
  • 2. Lots of new terms
  • 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
  • 7. What is The Cloud?
  • 8.
  • 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
  • 11. Internet of Things (IoT) AND THE INTERNET OF EVERYTHING (IOE)
  • 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
  • 13.
  • 14. Big Data HADOOP, CASSANDRA AND LOTS MORE
  • 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
  • 20. Containers  A new way to deploy and manage applications  Fundamentally changes the software deployment process
  • 22. Orchestration  Manage and deploy containers Different environments Different platforms Scales rapidly Fault tolerant Manages testing and deployments
  • 23. DevOps NEW WAYS OF MANAGING PROJECTS
  • 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
  • 25. Is it worth it?
  • 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