Jatayu_Ideathon_Use Cases_v1.0 (1)

Ideathon

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Five Use Cases

Product Digital Wallet for Intelligent Edge AI-Based Content Automation in
Servitization Connected Things Moderation Game Testing

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Product Servitization

Towards a Value-Creating Economy

Turning products into services can lead to a continuous revenue stream. Think of Apple shifting its focus from its
products to the subscription based services. Can this be accelerated using IOT, AI/ML?

• Traditional Manufacturers have been focusing on products The global manufacturing industry is being transformed by servitization. Over the next three
to sell for one-time cost. It is interesting to note that 70% years 65% of the world’s manufacturing capacity will switch from production to services as
of manufacturers who appeared in the Fortune 1000 ten their main revenue source. -- IEDP
years back have since lost relevance, due to highly price
competitive product landscape and innovative product Philips Healthcare, for example, moved from selling MRI scanners to selling
designs from disruptors. the scans and are close to selling the diagnoses based on the scans.

• There is a clear need for digital transformation, where
traditional players can provide integrated offerings
(products + services) to achieve superior value for their
customers and develop new revenue generating
streams over extended period of time (entire product
lifecycle)

• Servitization is the process whereby services are given an
increasingly important role in the business model of
traditional manufacturing company.

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Digital Wallet for Connected Things

Things That Pay

A Digital Wallet for Connected Things, that will work for various payments that needs to be done in a service context.
Popular examples can include – Payment for fuel/ toll taxes, in-app purchases for music/podcast or other
entertainment subscriptions, vehicle insurance premium etc. Can there be more applications? Can we integrate Libra?
Go bonkers!!!

While the last decade went largely into popularizing the The connected car commerce is estimated to be a USD 230 billion opportunity.
internet/mobile payments with digital wallets becoming the face of
payments process, the future belongs to a more automated but
humanized payments ecosystem. This new ecosystem will most
likely be riding on the increasing popularity of connected devices.

Conventional payment ecosystems such as Mobile Wallets can be
replaced with more transparent and low cost blockchain-based
cryptocurrency platforms such as Libra. (more on Libra)

How Libra works?

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Intelligent Edge

Inferences as a service

Edge computing has been historically tied to the internet of things (IoT). In 2020, innovations in networking, cloud-
native, and edge computing technologies have come together to create breakthroughs in cloud-to-edge integration.

• Proctoring services – Proctoring (remote monitoring) services are going Any suspicious activities will be red flagged and notified (Multiple
to gain more popularity, thanks to the forced experiments driven by Covid- faces, device detection, moving away from desk) to provide highest
19. A robust and scalable infrastructure is required to cater to the rapidly level of workspace integrity.
growing demand of these services. Can Intelligent Edge be the answer?

• Visual inspection for defects (Cognitive Quality) - A study by McKinsey
& Company found that AI-driven quality testing can increase productivity by
up to 50% and defect detection rates by up to 90% compared to human
inspection.

• Image Analytics – Can Intelligent Edge Computing aid in highly human-
dependent job of image analysis to achieve tasks such as rating of Ads and
other similar activities?

• Smart city – Large scale Safety and Surveillance requirements of Smart
Cities could be a challenge for the conventional technology infrastructure.
Can Intelligent Edge meet these humungous requirements?

(Better, if using Google Coral)

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AI based content moderation for chatbots and
conversational platform

Intent based learning and comprehension

Identification of sensitive content seems to be one of the top priorities of content management industry, based on
a recent survey by Forrester. Automatic classification, including security markings on sensitive content using AI is
identified as a high value use case.

• Moderation for chatbots – Understand the intent beyond
matching the stated words (like sarcasm, slang, profanity,
hate speech.

• Moderation for conversational platform – Understand
human emotions (using voice modulation), context to link it
the previous dialogues etc.

• Moderation for Images/Videos – Filtering contents based
on cultural context, detect objectionable visuals contents
like violence, nudity, other crime scenes etc.

• Moderation for social media / blogs – Detect and prevent
fake news and rumors based on patterns and facts. Also
detect plagiarism to protect copyrights and IP.

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Automation in Game Testing

Bigger, Faster, Tested…Are You Game!

As the game market has started to expand over the last 5 years, mobile and online game businesses are paying more
attention to the quality and experience aspects of the games. Today, games are becoming more complex and run on
wide variety of platforms, they are too hard to test and game companies can’t afford the risk of shipping a bad
version.

• Massively Multiplayer On-Line Games (MMOGs) have The overall market size of Gaming is estimated to be at $152 billion in
developed in the past few years as a large-scale distributed revenue, surpassing all other entertainment markets.
application, known for its huge real-time virtual world
entertaining millions of players globally on a real-time basis.

• A good game experience is critical in keeping the players
engaged, and it has an immediate consequence on the
income of the MMOG operators. Failing to deliver timely
simulation updates leads to a degraded game experience and
triggers player departure.

• What are the ways for enhancing automation in Game Testing,
given the demanding quality needs of the segment?

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Solution/Idea Brief Template

AREAS TO BE COVERED GUIDING QUESTIONS

1 BUSINESS NEED/ What is the business problem or opportunity? Describe within few sentences like an elevator pitch
OPPORTUNITY What unmet need does it serve? Why does the customer/ target segment may want this?
Why is it important for you to address this need?
2 TARGET SEGMENT/ What value will the idea/ solution create for the customer/ target segment?
MARKET SIZE
Who is the intended customer/ target segment? Define the target segment.
3 SOLUTION/ IDEA IN A Can it be replicated with a similar customer/another target segment?
NUTSHELL What is the market size?
What is the market growth?

Explain the solution idea.
What are the key differentiators of your solution (USP; features, costs, scalability, time to market, UX,etc)?
Describe the key features and unique benefits of the solution/ product. (Supported with use case diagrams)
Technology stack along with Reference Architecture

4 BUSINESS IMPACT / How will the customer benefit?
MEASURE OF SUCCESS What is the expected result/impact of solving the problem through the solution you are building for the customer?

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Thank you

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