dr. dzaharudin mansor microsoft
TRANSCRIPT
Big data+
IoT44 ZBBy 2020, IoT will include
26B units causing explosion
in the amount of data
available.
Mobile
>50% More than half of information workers across 17 countries report using 3+ devices for work
Social HyperScale
Cloud
~50%Nearly half of total IT spend will be cloud-related by 2020
Devices: “Info Workers Will Erase Boundary Between enterprise And Consumer Technologies.” Forrester Research. August 30, 2012
Apps: Gartner: “Predicts 2013: Business Impact of Technology Drives the Futures Application Services Market.” Nov. 21, 2012
Big data: Paraphrased from "The Impact of the Internet of Things on Data Centers." Gartner Research, Feb 27, 2014
Cloud: “Prepare For 2020: Transform Your IT Infrastructure And Operations Practice.” Forrester Research. Oct. 24, 2012
*Microsoft: Cyberspace 2025: Today’s Decisions, Tomorrow’s Terrain
The combination is Disruptive & Game Changing
“Third Platform” (IDC), “Nexus of Forces” (Gartner),
Internet Plus (China PM)
Cost-effective, innovative processing…
Level setting – What is Big Data?
VOLUME(>500GB?)
VARIETY(Unstructured,
unexpected etc)
VELOCITY(RT, changes in
related data sets at
different speeds)
http://www.gartner.com/it-glossary/big-data/
http://www.forbes.com/sites/gartnergroup/2013/03/27/gartners-big-data-definition-consists-of-three-parts-not-to-be-confused-with-three-vs/
442020
ZETTABYTES
OF DATA4.42013
0.162006
1 ZETTABYTE = 1 B TERABYTES
“Data creates opportunity. It's the oil of the 21st century.
Whoever has the right data will ultimately win.”
Peter Sondergaard, senior vice president of Global Research at Gartner
https://www.nyse.com/network/article/Gartner-Whats-Next
Data analytics:
Refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain from data.
Predictive
• Perform predictions of outcomes and behaviors.
Prescriptive.
• How to achieve something (self driving car)
Descriptive++
• Reports.
• Measurement
• Trends
Diagnostics++
• Web logs.
Data analytics:
Refers to qualitative and quantitative techniques and processes used to enhance productivity and business gain from data.
Descriptive
(What
happened).
Diagnostic.
(Why it
happened)
Predictive.
(What may
happen)
Prescriptive.
(What will happen)
Is it A or B?
e.g Will the HDD fail
next month? Yes/No.
How much/how
many?
e.g. what is the
temperature next
Tuesday?
Which option?
e.g. do the car stop
or go on an orange
light.
Is it weird?
e.g. Fraud Detection.
Which groups? e.g.
which viewers like
the same type of
movie.
Reinforcement Learning
Get more
data
Ask a
sharp
question
Put data
in a table
Check for
quality
Transform
features
Answer
the
question
no no no no no
Use the
Answer
no
Data Science Team
Data Engineering
Math/Stats Algorithms
Application Development
Business Acumen
Data Management
Data
Dividend
Transform data into intelligent action at lower cost , time and skilled resources.
DATA INTELLIGENCE ACTION
Reusable
Intelligence
Dashboards &
Visualizations
Information
Management
Data Stores Machine Learning
and Analytics
Event HubsHDInsight
(Hadoop and
Spark)
Stream
Analytics
SQL Data
WarehouseData Catalog
Data Lake
Analytics
Data Factory Machine
LearningData Lake Store
Power BI
Cortana
Web
Mobile
Bots
Bot
Framework
Cognitive
Services
SQL Server
MICROSOFT CONFIDENTIAL
Continuous Rapid DisruptionWhat’s next (The 4th Platform)?
Mobile
Social
“Internet of
Things”
Natural interfaces
Machine Learning
Quantum computing
Delivering
crowdsourced
services
Bridging
physical and
digital worlds
Reinventing the
value chain
Achieving
continuous
uptime
Advancing
human-centric
design
Delivering
faster, smarter
serviceGrowing
sustainably
Cloud
Data
3-D Printing
• Embrace Open Source
• Evolutionary Path to Cloud
• Democratize Data Science
• Skill Re-Use
• Transparent Scaling
• Facilitate Collaboration
• Decouple Data Science from Platforms
• Leverage Hybrid Cloud Architecture
• Accelerate Experimentation
• Streamline Deployment
Broaden The
Talent Pool
Increase
Productivity
Modernize
Infrastructure
Maximize
Innovation
Drive Down
TCO
“CYBER SECURITY IS A CEO ISSUE .”
Cyber threats are a material risk to your business
200+DAYS
Median number of days attackers are present on a victims network before detection
$3 TR ILL ION
Impact of lost productivity and growth
Average cost of a data breach (15% YoY increase)
$3.5 MILL ION
Attacks are fast, efficient, and easier than you think
46%
of compromised systems had no malware on them
23%
of recipients openedphishing messages
50%
of those who open, click attachments within the first hour
Benefits
Balancing Big Data
Data Governance and
Progressive Privacy Policy
Security and Privacy Controls
BenefitsBenefits Privacy RisksConsumer ExperienceConsumer ExperienceEnabling people to work the way they want
Benefits Privacy Risks
28
Real-time access
to reliable data
Self-service access
for everybody
within the
organization
Data-driven
decisions
First (1800’s) Second (1900’s) Third (1960) Fourth (TBD)
Steam power took over
horse powered transport
and hand made goods.
Electricity, etc (plane,
engine, movies)
1st and 2nd Platforms
(Digital technology, PC and
Internet)
3rd and 4th Platforms
(Cloud, Big Data, Social,
Mobility, IoT, ML,
Quantum)
Improved logistics and
Manufacturing.
Mass production and
Globalization of products.
Digitally enabled business,
manufacturing and
commerce.
Artificial Intelligence, 3D
printing manufacturing.
Cottage industry to
Manufacturing.
Increased manufacturing
efficiency, enhanced
logistics, Local business to
global business.
Business efficiency,
productive and move from
physical business to online
business.
Digitally powered Physical
would automation,
Innovative business model.
Cottage industry became
irrelevant.
Steam based industry
become irrelevant.
Only 11% of F500
companies in 1950s exist.
TBD
Industrial Revolution