Enterprises Need to Adapt Technology Strategy to Address Increasingly Complex Business Environment
Mindtree Tech Beacon 2019
Warren, New Jersey and Bangalore, India (ots/PRNewswire) -
Mindtree, a global technology services and digital transformation
company, has published the fifth annual edition of Tech Beacon (https
://www.mindtree.com/about/resources/tech-beacon-technology-harbinger-
2019), an annual report from Mindtree to offer technology guidance
for enterprises.
Tech Beacon identifies a need for organizations to adapt their IT
architecture to address evolving business challenges. It also
recommends the most important emerging technologies and tools for
enterprises to invest in, experiment with or watch for future
application (Invest, Experiment and Watch) based on the maturity &
production readiness.
Mindtree, a global technology services and digital transformation
company, has published the fifth annual edition of Tech Beacon (https
://www.mindtree.com/about/resources/tech-beacon-technology-harbinger-
2019), an annual report from Mindtree to offer technology guidance
for enterprises.
Tech Beacon identifies a need for organizations to adapt their IT
architecture to address evolving business challenges. It also
recommends the most important emerging technologies and tools for
enterprises to invest in, experiment with or watch for future
application (Invest, Experiment and Watch) based on the maturity &
production readiness.
"Today, with aggressive digital disruption proliferating, the
global business environment is transforming faster than ever. It is
therefore important for enterprises to better understand how emerging
technologies offer a compelling value proposition to keep pace with
this dynamic reality," said Madhusudhan KM, Chief Technology Officer,
Mindtree. "Tech Beacon offers technology guidance to enterprises
based on the industry requirement, changing business dynamics, and
anticipated technology evolution."
Here are some key recommendations from Tech Beacon:
Systems interacting with systems
- The challenge behind scalability in micro-services can be addressed
with Distributed Architecture and Service Mesh due to its
consistent discovery, security, tracing, monitoring and failure
handling service.
- Reactive Autonomic Architecture should be at the top of chief
technology officers' priority list as it simplifies and improves
the end user experience by predicting their needs in a complex,
dynamic and uncertain business environment and avoids system
failure in unplanned situations.
Turning Information into Insights
- The role of Machine Learning is limited in the data harvesting
process. Organizations use humans for manual tasks like data
cleanup, outlier removal, etc. There is a need for integrating
exploratory data analysis tasks as part of a processing pipeline.
- Organizations should utilize Lambda and Kappa data processing
techniques to generate useful insights from available data. Lambda
offers a consistent pattern and a real-time view into the generated
insight, storing the data and then generating the insight in the
batch layer. Kappa is the next iteration in this evolution,
generating insights as the data arrives within its 'streaming
layer.'
Interaction with Humans
- Organizations are increasingly using conversational systems as a
channel to enable machines to interact with humans. These systems
global business environment is transforming faster than ever. It is
therefore important for enterprises to better understand how emerging
technologies offer a compelling value proposition to keep pace with
this dynamic reality," said Madhusudhan KM, Chief Technology Officer,
Mindtree. "Tech Beacon offers technology guidance to enterprises
based on the industry requirement, changing business dynamics, and
anticipated technology evolution."
Here are some key recommendations from Tech Beacon:
Systems interacting with systems
- The challenge behind scalability in micro-services can be addressed
with Distributed Architecture and Service Mesh due to its
consistent discovery, security, tracing, monitoring and failure
handling service.
- Reactive Autonomic Architecture should be at the top of chief
technology officers' priority list as it simplifies and improves
the end user experience by predicting their needs in a complex,
dynamic and uncertain business environment and avoids system
failure in unplanned situations.
Turning Information into Insights
- The role of Machine Learning is limited in the data harvesting
process. Organizations use humans for manual tasks like data
cleanup, outlier removal, etc. There is a need for integrating
exploratory data analysis tasks as part of a processing pipeline.
- Organizations should utilize Lambda and Kappa data processing
techniques to generate useful insights from available data. Lambda
offers a consistent pattern and a real-time view into the generated
insight, storing the data and then generating the insight in the
batch layer. Kappa is the next iteration in this evolution,
generating insights as the data arrives within its 'streaming
layer.'
Interaction with Humans
- Organizations are increasingly using conversational systems as a
channel to enable machines to interact with humans. These systems