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Data-hungry artificial intelligence & ML systems can be trained to extract structured & unstructured
data & turn them into business insights, conclusions, and actions. AI applications can predict
business performance outcomes based on the cumulative historic data & drive corporate decisions
which can optimize your operations.
We spend too much money - How can we achieve the results in lesser money?
Identify automation opportunities
by using the too much question
Map out processes and operational metrics
to find out what processes are working
or not working and what costs more.
Go after low hanging fruits Lay out all the foundations
of an AI transformation
Most organizations make the mistake
of firing before aiming at a goal.
That is where they most lose out on.
How To Be AI Enabled Enterprise
Artificial intelligence is all set to create intelligent machines that work
and react like humans & is increasingly being used in automation.
Forward-thinking companies have started adopting ‘AI first’ attitude
to survive the new technological revolution. Many of them are struggling
with figuring out the start of automation and where they fit in.
They understand that they have a problem but are unsure about where
exactly their problems lie. As a company, there are 2 ways you can
identify opportunities for AI & ML implementation.
We have too much data- Is there a way to harvest it?
Enterprises employ a lot of effort and labor in focussing on tasks that are routine and may
nothave great business value. As a business, you need to focus on profit making by having
to avoid spending too much and get the most with minimum capital investment.
Tasks like gathering and analysis of data, inventory management, critical planning, scheduling,
warehousing, logistics, fleet management etc. can be automated with AI tools now. You can
achieve productivity by directing the employee time, the most important asset, towards
business strategies and creating qualified specialists in missing areas.
We have too many people- Can we do this with a smaller team?
We waste too much time- How can AI help us do this faster?
AI today performs tasks in a way where it gets difficult to find a difference between
the workdone by a machine and work done by a human. So we should be investing
our time in AI and not in BPOs
Start With A “Too Much” Question
Organizations need to first know
where their problems lie.
Using analytics to identify process
bottlenecks
Identify processes or functions that
are easiest to change with maximum
benefits.
Ensure a smooth transition from BPO
to automation.
Ready, aim, fire
Start With A Goal
Business leaders are under increasing pressure
to stay ahead of competition & find ways
to reduce operating costs. Outsourcing work
which was considered the most effective way
to reduce costs can now be optimized further
with intelligent automation.
Reduce costs
With AI automation, manual labor is converted into easier,
faster, and more manageable processes. With increased
performance comes greater efficiency, optimized time
& output, and inevitably higher bottom line revenue.
Increase Performance
A business intelligence system uses AI to generate
insights from huge volumes of data, learning
to distinguish between valuable and not valuable
information. This helps enterprises put their data
to use and generate unbiased insights which can
yield important business outputs.
Generate Insights
Scaling an enterprise or a process requires a certain
degree of foresight, in terms of short-term and long
-term goals. With the goal in mind, automating labor
driven, unskilled functions like document handling
and extraction can allow you to scale dramatically
without having to add headcount or costs.
Scale
AI enabled processes have the capability
to automatically detect errors and send out
triggers and alerts for self-correction or to
those who can make the corrections.
This reduces human errors and retains
consistency in accuracy and operation.
Improve Quality
© 2018 Infrrd Inc
Steps to Becoming An AI Enabled Enterprise

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How To Start Your Journey To Become An AI Enabled Enterprise?

  • 1. Data-hungry artificial intelligence & ML systems can be trained to extract structured & unstructured data & turn them into business insights, conclusions, and actions. AI applications can predict business performance outcomes based on the cumulative historic data & drive corporate decisions which can optimize your operations. We spend too much money - How can we achieve the results in lesser money? Identify automation opportunities by using the too much question Map out processes and operational metrics to find out what processes are working or not working and what costs more. Go after low hanging fruits Lay out all the foundations of an AI transformation Most organizations make the mistake of firing before aiming at a goal. That is where they most lose out on. How To Be AI Enabled Enterprise Artificial intelligence is all set to create intelligent machines that work and react like humans & is increasingly being used in automation. Forward-thinking companies have started adopting ‘AI first’ attitude to survive the new technological revolution. Many of them are struggling with figuring out the start of automation and where they fit in. They understand that they have a problem but are unsure about where exactly their problems lie. As a company, there are 2 ways you can identify opportunities for AI & ML implementation. We have too much data- Is there a way to harvest it? Enterprises employ a lot of effort and labor in focussing on tasks that are routine and may nothave great business value. As a business, you need to focus on profit making by having to avoid spending too much and get the most with minimum capital investment. Tasks like gathering and analysis of data, inventory management, critical planning, scheduling, warehousing, logistics, fleet management etc. can be automated with AI tools now. You can achieve productivity by directing the employee time, the most important asset, towards business strategies and creating qualified specialists in missing areas. We have too many people- Can we do this with a smaller team? We waste too much time- How can AI help us do this faster? AI today performs tasks in a way where it gets difficult to find a difference between the workdone by a machine and work done by a human. So we should be investing our time in AI and not in BPOs Start With A “Too Much” Question Organizations need to first know where their problems lie. Using analytics to identify process bottlenecks Identify processes or functions that are easiest to change with maximum benefits. Ensure a smooth transition from BPO to automation. Ready, aim, fire Start With A Goal Business leaders are under increasing pressure to stay ahead of competition & find ways to reduce operating costs. Outsourcing work which was considered the most effective way to reduce costs can now be optimized further with intelligent automation. Reduce costs With AI automation, manual labor is converted into easier, faster, and more manageable processes. With increased performance comes greater efficiency, optimized time & output, and inevitably higher bottom line revenue. Increase Performance A business intelligence system uses AI to generate insights from huge volumes of data, learning to distinguish between valuable and not valuable information. This helps enterprises put their data to use and generate unbiased insights which can yield important business outputs. Generate Insights Scaling an enterprise or a process requires a certain degree of foresight, in terms of short-term and long -term goals. With the goal in mind, automating labor driven, unskilled functions like document handling and extraction can allow you to scale dramatically without having to add headcount or costs. Scale AI enabled processes have the capability to automatically detect errors and send out triggers and alerts for self-correction or to those who can make the corrections. This reduces human errors and retains consistency in accuracy and operation. Improve Quality © 2018 Infrrd Inc Steps to Becoming An AI Enabled Enterprise