Technology in 2016CHANGE 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 ComputingHOW 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 DataHADOOP, 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

ContainersSOFTWARE 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

DevOpsNEW 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