Learning and development for corporates- cutting edge themes

Cutting edge Learning
& Development
themes for
corporates
v1.7.0
June 2019
Stratbeans Knowledge Network
Stratbeans Consulting Pvt Ltd 1

Cutting Edge L&D Themes
1 Computer vision
2 Sentiment Analysis
3 Image recognition
4 Voice Search Optimization (VSO)
5 XR—augmented reality, virtual reality, and mixed reality
6- Five G
7- Data Lakes

1
Computer Vision
in L&D

What is
Computer
vision?
• Computer vision identifies and process images
scanned from the environment
• Thus robots can “look around” and identify
obstacles to safely navigate
• It’s a key component of autonomous vehicles
• Computer vision capability enables algorithms
which process 2-D images, to understand what
the image depicts—and constructs a 3-D image

Computer Vision For
Attention L&D Paradigm
• In L&D computer vision
has great impact:
• Tools can track
learners’ eye gaze and
tell in real-time on what
learners are doing,
essentially nail down
their attention zone
• L&D teams use this data
to improve eLearning
experience in real time.

Computer Vision For
Identification L&D Paradigm
• With Computer vision
recognizing and
authenticating learners
allows individualized access
to information or training
• This opens the door for
cheating free online
assessments
• Safety tools use computer
vision to guide vehicles and
machinery and to scan codes
to track movement of
equipment or goods through
a production facility or count
items and monitor volume

2
Sentiment
Analysis in
L&D

What are sentiment and emotion ansalysis?
• Sentiment analysis usess natural
language processing (NLP) to
scan text and analyses terms and
phrases categorized as positive,
negative, or neutral
• Emotion recognition algorithms
perform similar tasks using
images, rather than text. The
images can be static pictures or
real time scans of learner’s face

Sentiment
analysis in
L&D Paradigm
Elearnings were devoid of human touch so far, when
compared with classroom training, but that is set to change
as we use AI based sentiment analysis
Sentiment and emotion detection technologies are already
used to monitor customer satisfaction in marketing and
sales
In L&D sentiment and emotional analysis tool scans learner
feedback on eLearning or face-to-face training, making
possible to quickly correct engagement issues in L&D
it factors mood and motivation of learners while they go
through eLearning

Sentiment
analysis in
L&D Paradigm
Correlating sentiment and emotion data with
training events and with performance provides
rich insight to instructional designers(ID) and
eLearning developers. They know with high
certainty how effective training was and how the
learners responded
Matching positive and negative reactions with
demographics like age or job role, helps in
targeting training in preferred formats or on more
relevant topics
This unravels useful direct metrics of business
strategy such as L&D’s impact on sales or
production efficiency

3
Image Recognition
in L&D

Image recognition in L&D Paradigm
• Image recognition is also a key element of OCR, optical character
recognition.
• Performance support tools pair computer vision with image
recognition to identify parts to assist employees in ordering or
repairing actions

Image
recognition
for Enhanced
Search and
Sort in L&D
Paradigm
• Search and sorting function, relying on image
and text recognition, are essential
to curation of online content or organization of
a library of performance support tools.
• Together, these technologies automate analysis,
categorization, and delivery
of personalized or targeted information to
learners as they need it.

Contextual
Help & Virtual
Assistants
• The apps can imagine a virtual assistant that
matches up a scanned image with a catalog,
instructions for repair, or explanatory text and
diagrams in a factory setting.
• Apps based on image or facial recognition are
coming up in eLearning and performance support..
They use trained algorithms and machine
learning skills to identify what’s in an image.

4 Voice Search
Optimisation

What it is
Voice Search
Optimisation?
• Soon, you will ask your virtual assistant to help you find
information online as you are to type in a query.
• Voice search allows users to browse information, whether
the contacts on their phone or the entire internet, simply
by making a request.
• Busy people like voice searching because: • It’s hands-
free. • It enables multitasking.
• It provides quick, concise answers.
• Most people can ask a question out loud faster than they
can type it. Virtual assistants conduct a growing share of
searches via smartphones and digital speakers—changing
the way we all search and the way information will need
to be organized. That’s why voice search optimization
(VSO) is on the radar for forward-thinking businesses.

VSO in L&D
Voice search optimization has created an new way to solve
problems
Rather than typing, one can speak out and get an answer. This
answer is less disruptive of flow, and therefore less intrusive of
work
These are important goals for L&D solutions, we’re already seeing
applications of Alexa-like devices by proactive L&D departments
Tools like Alexa and Siri are doing more than providing answers to
questions; they are driving a powerful change in how we interact
with technology
As the technologies usage continues to rise, more and more
computer usage is shifting to voice-driven experiences
L&D professionals must follow this trend in consumer behaviors,
they can set the expectations for voice-operated technologies
today

5 Xtended Reality

What is Extended Reality
• XR, or “extended reality,” is an
umbrella term that
encompasses any computer
generated environment that
merges virtual and physical
worlds, enhances the physical
world, or pulls participants into
an immersive virtual world. This
includes:

XR Components
Virtual
reality (VR):
Fully immersive virtual
environments that
participants enter using
dedicated gear, including
headsets.
VR experience creates a sense
of “presence”—experiencing
virtual environment as if it is
real.
Augmented
reality (AR):
Computer-generated
enhancements to the physical
world
Puts a layer of virtual objects
or information displays on top
of the physical world.
AR can feature text, video,
audio, and 3D virtual objects.
Mixed
reality (MR):
Blend of real and virtual
worlds that allows physical
and virtual elements, including
avatars and human
participants, to interact.
In an MR environment,
participants can manipulate
virtual objects that appear to
be in their physical spaces.

XR for L&D
• VR, is ahead in adoption compared
to AR and presents
• VR is not likely to replaces other
methods of training but its value is
in solving problems which can not
be handled otherwise
• VR offers powerful safe place for
practice when the costs of failure
are high, specially in manufacturing
and in hazardous environments
• AR has broader potential
applications in the long term and
supports a number of innovations
in L&D, including performance
support and workflow learning
• To understand transformative
power of AR, L&D professionals are
moving beyond smartphone -based
applications to headset products
• Power of AR for learning and
performance manifests in best
possible applications Via hands-
free usage
AR VR
ADOPTION LOW HI
POTENTIAL HI LOW

6- Five G in L&D

What is 5 G?
• As An emerging mobile telecommunications
standard, 5G promises faster connections with lower
latency— with less lag time between requesting and
receiving information.
• Early 5G networks are active in South Korea, Japan,
and, to a lesser extent, the US
• 5G will meet needs for connection and transmission
as billions of appliances, sensors, gadgets, and
vehicles join the “Internet of Things.”
• Businesses should prepare for the impact and
potential of 5G and an era of greater network
connectivity, including understanding its risks and
vulnerabilities.

Why L&D needs to be ready
for 5 G
• Expanded networks will
remove limitations of
bandwidth, a significant
challenges that constrains
the options L&D has
available
• The bigger impact will be
how these new networks
impact the organizations.
• This will transform many
industries, creating entirely
new learning and support
needs.
• 5G will greatly impact the
world of L&D, through
change in the work
environment.

7 Data
Technologies
in L&D

What is Data
Technologies
It’s ridiculously easy to collect, track, analyze, use—and abuse—vast
amounts of data.
The way workplaces use the data they collect on employees and
customers affects hiring and on-boarding, training, personnel decisions,
and marketing decisions.
Paired with AI-powered tools, data analysis offers insight into what
customers want, which employees are superstars and who needs
mentoring, emerging trends, and how to use consumer and employee
behavior to further business goals.
But collecting and using data raises issues of privacy and security. How
much personal data businesses should have on their employees or
customers and how those data are best used, stored, and protected are
key questions whose answers are constantly evolving.

Data Technologies in
L&D
• Experience API (xAPI) is most visible examples of Data and
analytics within L&D
• Data technologies depend on what data we track and how
we capture it
• And finally, how we raise effectiveness via data, which is a
key driver not just of L&D, but of businesses as well.
• As we collect and analyze more data, we develop data
intelligence that can shape our decisions. Many
organizations are improving data-driven business
intelligence
• L&D professionals need to improve their data and analytics
knowledge and skills; to develop understanding of shifts
within the business environment they will need to support.
Stratbeans Consulting Pvt Ltd
27

StratBeans Consulting Pvt. Ltd
www.stratbeans.com, james@stratbeans.com
295 Madison Avenue
12th Floor, New York
NY 10017
1 Unitech Trade Center
Sector 43
Gurgaon
Contact us

Learning and development for corporates- cutting edge themes

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