The document discusses emerging technologies that are enabling digital transformation, including drones, the internet of things, machine learning, augmented and virtual reality, autonomous systems, wearables, and 3D printing. These technologies span the physical and digital worlds and are being adopted across industries like manufacturing, energy, mining, construction, agriculture, healthcare, and transportation. While they generate large amounts of data and have potential for improved processes, their use also faces challenges regarding data management, compliance with regulations, security, and safety. Successful implementation requires alignment between IT and business and management of the technologies' hardware, data, and potential applications.

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Alex Bakker, Research Director
November 17, 2017
Greenwich, CT
Super Emerging Technologies
The Keystones of Digital Transformation

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• Initially, business computing focused on automating back-office processes and creating Systems
of Record. Next, we automated and enabled the front office and knowledge workers.
• The last few years has seen a focus on Systems of Engagement – and we reimagined how we
wanted to leverage the tools we had built.
• Now, new technologies are enabling businesses to measure, monitor, and enable a range of
“no-office” problems.
• This builds on the work done historically, and extends it far outside the walls of the enterprise
and the traditional domain of IT.
• The new technologies are enabling new business models, mass customization, and personalized
experience.
The Focus of Computing is Changing

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• Lets look into the some of the technologies enabling
and transforming Digital Business.
• The core of Digital Business lies at the border between
IT and Business, but also at the border between the
Physical and Digital worlds.
• A new wave to technologies that span the liminal area
between physical and digital has arrived.
• These technologies rely on unprecedented alignment
of business and IT to succeed.
Super Emerging Technologies

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• Drones / UAVs
• Internet of Things
• Machine Learning
• Augmented / Virtual
Reality
• Autonomous systems /
vehicles
• Wearables
• 3D / Additive
Manufacture
Super Emerging Technologies
Let’s take a look at some of these technologies:

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Super Emerging Technologies
29%
18%
22%
23%
14%
22%
13%
13%
13%
6%
18%
20%
17%
18%
24%
22%
20%
21%
18%
18%
24%
25%
27%
24%
23%
24%
29%
29%
32%
23%
19%
27%
23%
23%
27%
20%
26%
23%
21%
29%
10%
11%
11%
11%
12%
12%
13%
14%
16%
24%
0% 10% 20% 30% 40% 50% 60% 70% 80% 90% 100%
Drones / UAVs
Virtual Reality / Augmented Reality
3D manufacturing / Scanning
Robotics
Sensors / IoT
Robotic Process Automation (RPA)
Location intelligence
Machine learning / AI / Cognitive
Voice Recognition / Natural Language Processing
Data Science / Big Data
Not Deployed, No Plans to Use Researching, But No Current Trials In Alpha Stages – Trialing But No Plans to Deploy
In Beta Stage – Trials With Plans to Deploy In Production Source: 2016 Digital Platform Survey,n=352

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What’s different
about these
technologies?
• New Technologies are entering the market
continuously.
• Cloud, Mobile, Social, Analytics are just a
few of the examples from the last few years.
• These are different.
• The last 10 years has primarily focused on
innovation of the knowledge worker.
• This next wave of technology puts the focus
back on the physical world.

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Who is using
them?
Adoption across many industries:
• Manufacturing, Energy (AR,VR, 3D manufacture)
• Mining, Construction (Drones, Location
Intelligence)
• Agriculture (Drones, Autonomous Vehicles)
• Healthcare (Wearables, IoT, Machine Learning, 3D
printing)
• Transportation (IoT, Autonomous Vehicles, Location
Intelligence)

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Drone Deploy

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Robot Bike Co.

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John Deere
Autonomous Mower Soon…Autonomous Combine

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Arizona Public Service
Electric Company

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What’s the Catch?

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(Big) Data
• These technologies both rely on and
generate data.
• The data can be mix of structured and
unstructured, image, video, GPS, time-series.
• Collecting data is less than half the battle.
• Alignment to problems, collection
methodology, and processing are just as
important.
• Need to have the infrastructure in place to
handle the data.

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Compliance,
Security,
Safety
• These new technologies are developing
rapidly, but so are the laws that govern them.
• The FAA regulates drone flight through part
107.
• AR/VR can be implemented to improve
effectiveness, but can also be distracting.
• Wearables and IoT can both create and rely
on PII, so encryption and privacy are real
concerns.
• In Digital Business you have both physical
and digital security concerns.

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Key Takeaways
IT / Business Alignment
• Ensure software supports all aspects of the
business process.
• Know your hardware: Inventory, operations,
availability, maintenance.
• Ensure your data is safe, valuable, and
relevant.
• Be willing to course correct quickly, and also
keep an open mind to finding other ways the
technology can be used.

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