Superior products, better customer satisfaction, improved control,
better project predictability, reduced risks, better flexibility,
continuous improvement, and enhanced team morale are some of the
benefits of the Agile development framework. The benefits are
reflected in the Agile framework market as well. According to
Allied Market Research,
Agile transformation services market was valued at $15.44 Billion
in 2018 and by 2026, it is expected to reach $63.83 Billion.
The CAGR from 2019 to 2026 is expected to be 5%.
Accelerated product development capabilities, growth of the IoT
sector, and enhanced focus on teamwork and collaboration are the
factors driving this growth. BFSI, IT, Telecom, Retail, Media and
Entertainment, Government and Public Sector, Manufacturing, and
Healthcare verticals are expected to benefit from this market
However, the reason why we employ the Agile framework is not due to
its market prominence. We have found certain nuances and technical
prowess that lubricates our machine learning development services
in favor of our clients. Here, we will list 5 reasons why we follow
the Agile framework.
BENEFITS OF AGILE FOR ML DEVELOPMENT
Better Project Management
Through multi-layered stakeholder inputs, cyclical testing
capacity, and faster prototyping, our project management process is
made much more robust and smoother through Agile. Through constant
communication and free flow of information, an enhanced management
structure is nurtured. Agile methodology makes our projects more
transparent to our teams as well as clients.
Agile definitely plays a role in enhancing our decision making
process for machine learning development. Through better
interpersonal communication, data insights, and processing of
information, our company has experienced a 60% revenue generation
increase as compared to companies that do not follow the Agile
structure. Agile also helps us meet client demands regarding
machine learning development in a more profound fashion.
Talents, Teams, and Technology are greatly optimized through Agile.
Machine learning development requires constant communication
between our engineers and R&D teams. Agile ensures the synergy.
Any ambiguities in the process or miscommunication among the team
members are eliminated. This helps us deliver solutions that are at
the peak of market standards. Our machine learning development
resources are optimally divided and time is managed in a more
efficient manner allowing us to produce better products in minimal
Data Model Validation
When it comes to validation of hypotheses and testing various ML
models, our data scientists acquire more accurate information
through Agile. Machine learning projects often deal with mammoth
sized data sets and the Agile framework provides the flexibility
and scale to deal with it. Our promise of greater business impact
for our clients through real time rapid validation stems from
With the above mentioned benefits of Agile, our development
environment is enhanced to the highest market standards. Our
projects are more holistically aligned and Agile provides a robust
framework for innovating using ML. The cognitive load is reduced
and our clients have transparent data of the progress of the
process. This has skyrocketed the adoption of machine learning
We can conclude that Agile compiles insights and inputs from
various domains and creates transparent solutions. Efficient
operations through Agile are critical for Orion eSolutions. It sets
a pace at which the businesses of our clients should progress and
eliminates the traditional challenges of manual processes, legacy
systems, and insufficient data. This is why we use Agile; to add to
the satisfaction of our clients when it comes to machine learning
development. If you are still second guessing about making Orion
your machine learning development partner, let us jot down a few
more facts for you.