Google’s smart reply mechanism uses ML extensively to create a next-generation email interface. It can automatically suggest three customized responses to each email that hits the inbox. It resulted in 10% of email replies sent via smart reply.

1. The future of machine learning platform

2. ©2018 GAVS Technologies Confidential 2
Table
o Emergence of Machine Learning (ML)
o Categories of ML and their future
o Impact of ML
o Impact of ML on banking
o Influence of ML on credit decisions
o Collaborative scope of ML in future
o Enterprises should consider
o Conclusion
o About GAVS

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Emergence of Machine
Learning (ML)
ML has revolutionized the overall
concept of technology. As ML continues
to spread across different verticals, a
need for smart and natural language
emerges.
Being an integral part of AI system, ML
algorithms continuously learn from
available information to improve
performance. ML operates on a set of
algorithms that can generate information
from raw data. Incorporation of neural
networks (NN) in ML has eased out the
complex work performed by machines.

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Categories of ML and their future
1.Supervised ML algorithm
(isolate pattern and predict
value)
1.Unsupervised ML algorithm
(complex data simplified for
analysis)
1.Semi-supervised ML algorithm
(data collection, prediction and
continuity)
1.Reinforcement ML algorithm
(choosing action and strategy)
Machine
Learning

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Impact of ML
ML created a magical impact on applications which
incorporated it.
Google’s smart reply mechanism uses ML extensively to
create a next-generation email interface. It can automatically
suggest three customized responses to each email that hits
the inbox. It resulted in 10% of email replies sent via smart
reply.

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Impact of ML
on banking
The customer-centric initiative to make banking seamless
has proved the worth of ML. Check deposits in bank was
made possible through smart phone apps using a
technology based on ML that could decrypt and convert
writing on checks into text via OCR.

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Influence of ML on credit
decisions
Both FICO scores and risk
assessments are prepared
using ML through data
crunching. It is observed
that risk assessment
based on conclusions
derived through ML could
reduce bank’s losses up to
25%.

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Collaborative scope of ML in future
ML has a bright future in almost every industry. It will recreate the concept of
technology and add more value to the demand for digitization. The areas where ML
will create an impact are;
• Cloud-based ML service known as Machine Learning-as-a-Service (MLaaS)
• Hardware updating to support ML’s initiative.
• Collaborative learning
• Personalized computing environment
• Improvement in cognitive service
• Advancement in speed through quantum computing
• Increase accuracy of prediction
• More of robotization
• Improve cyber security, healthcare and finance verticals

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Enterprises
should consider
• 50% of IT resources should be invested to encourage ML.
• By 2022, 75% of organizations will use ML techniques.
• By 2023, 40% of large enterprises will use automation.
Source: Secondary Research

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Future of machine learning in a nutshell
• ML can streamline incident
management.
• It can predict system
failures.
• It can auto remediate
enhancing reliability.
• It can increase the horizon of
deeper personalization.
• It can add feasibility with
real-time speech translation.

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Conclusion
The impact ML already has across industries points towards its immense potential.
Starting from cars to cyber security, healthcare or shopping, ML will encompass an
individual’s life adding quality to it. ML focuses on heightened consumer
satisfaction which will become the driving force for all enterprises in future.

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About GAVS
GAVS Technologies is focused on automation-led digital transformation
services. GAVS’ IP led solution, Zero Incident Framework TM (ZIF) is an
AIOps solution that provides a 360-degree view of enterprise IT health,
proactively detects incidents before they occur and remediates with minimal
human interference. GAVS is committed to improving user experience by
10X and reducing resource utilization by 40%.
GAVS Technologies has empowered multiple hospitals and healthcare
organizations with technology-led solutions and SMART delivery that has
significantly improved patient care.

13. www.gavstech.com
inquiry@gavstech.com