4. Do you know any of this?
• Natural language speech to text
• Text to natural speech
• Machine translation
• Language recognition
• Cognitive personality insights
• User behavior modeling
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8. Internet of Things
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The Internet of
Things (IoT) is the
interconnection of
uniquely
identifiable
embedded
computing
devices within the
existing Internet
infrastructure.
9. Fork for FAT People
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43. Can you replicate Success Successfully?
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44. The wider the moat, the larger and more
sustainable the competitive advantage
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45. Keep an Eye on the Future
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46. Bold Predictions
• 4K Display
• 8-16 GB RAM
• 1 TB Storage
• Display on all sides of the device
• As thin as credit card
• Device would controll everything but w--e
• True 3D UI
• Video Only Apps
• Battery Life - Minimum 1 Week
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47. Phone of the Future
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48. Must Have Skills
• BLE
• NFC
• Social Networking
• Gamification
• Parse.com
• Cloud Integration
• WiFi Data Transfer
• Deep Linking
• Chromecast
• Sensors
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49. Big data: Not just for big business
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54. Here are a few highlights from IBM's big data
research.
• $83.2 billion is the estimated amount spent in
the U.S. on online advertising
• 230 million tweets are sent a day
• 100 terabytes of data are uploaded daily to
Facebook
• 80 percent growth in unstructured data
• 2.7 zettabytes of data exist in the digital universe
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57. • Big data proves it's more than just big
hype.
• On a similar note, 2015 will be Hadoop's
"show me the money" year.
• Location services move indoors.
• Connected cars might grab the
headlines, but other IoT devices will
prove a lot more useful.
• You, too, can be a data scientist, no PhD
required.
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65. Big data spans five dimensions:
Volume, Velocity , Variety,
Veracity & Value.
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66. Volume
Enterprises are awash with ever-growing data of
all types, easily amassing terabytes—even
petabytes—of information.
• Turn 12 terabytes of Tweets created each day
into improved product sentiment analysis
• Convert 350 billion annual meter readings to
better predict power consumption
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67. Velocity
Sometimes 2 minutes is too late.
• For time-sensitive processes such as catching
fraud, big data must be used as it streams into
your enterprise in order to maximize its value.
• Scrutinize 5 million trade events created each day
to identify potential fraud
• Analyze 500 million daily call detail records in
real-time to predict customer churn faster
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68. Variety
Big data is any type of data - structured and
unstructured data such as text, sensor data, audio,
video, click streams, log files and more.
New insights are found when analyzing these data
types together.
• Monitor 100’s of live video feeds from surveillance
cameras to target points of interest
• Exploit the 80% data growth in images, video and
documents to improve customer satisfaction
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69. Veracity
refers to the messiness or trustworthiness of the
data.
With many forms of big data, quality and
accuracy are less controllable, for example
Twitter posts with hashtags, abbreviations, typos
and colloquial speech.
Big data and analytics technology now allows us
to work with these types of data. The volumes
often make up for the lack of quality or accuracy.
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70. Value
refers to our ability turn our data into value.
It is important that businesses make a case for
any attempt to collect and leverage big data.
It is easy to fall into the buzz trap and embark
on big data initiatives without a clear
understanding of the business value it will
bring.
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71. The evolving shape of
distributed databases in the
Internet of Things
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79. Hadoop is an open-source software framework
for storing and processing big data in a
distributed fashion on large clusters of
commodity hardware.
Essentially, it accomplishes two tasks: massive
data storage and faster processing.
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