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Using Artificial Intelligence and Machine Learning to transform HR workflows

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Title: Using Artificial Intelligence and Machine Learning to transform HR workflows


1
Using Artificial Intelligence and Machine
Learning to transform HR workflows.
The world of HR has not been technology-driven,
but its going to witness a huge transformation
through the integration of AI in HR processes. It
will create waves in the world of recruitment,
employee experience, and holistic talent
management. AI enables non-human machines to
think like humans. This is possible through deep
learning and machine learning. What AI aims at
is human learning, reasoning, problem-solving,
and multi-language processing. Machine learning
integrated with deep learning makes it possible
for machines to learn and make informed decisions
or predictions for various sectors or industries.
Machine learning would intend to teach itself
what objects look like by working on data.
2
Key areas where AI can help HR managers.
Detecting Inconsistencies Identify, learn, and
compare datasets that do not conform to
pre-defined patterns. Background checks AI can
help HR managers perform background verifications
for candidates through resume screening,
monitor unstructured data points. Red flags can
be raised if an anomaly is detected in the
resume. Employee Retention Study employee
patterns to reduce employee attrition and improve
employee engagement. Predictive Analysis
Deliver a personalized experience through
predictive analysis and recommend a career
direction or training program to optimize
employee career options. When it comes to Deep
Learning, is a branch of AI that deals with
super-computers to enhance machine learning
through a neural net. It is an abstract machine
learning technique that recognizes patterns and
makes powerful comparisons through data
interpretation.
3
Key areas where Deep Learning can help HR managers
Detecting Inconsistencies Identify, learn, and
compare datasets that do not conform to
pre-defined patterns. Data Segregation With
Deep Learning algorithms in place, thousands or
millions of candidate files can be segregated
based on their profiles, photos, videos,
etc. This is based on objective data. Voice
Recognition- Deep learning algorithms can
identify voice patterns to understand human
behavior or human patterns, this can be very
helpful to identify potential candidates for
specific roles based on their vocal
patterns. Chatbots - Chatbots integrated with
deep learning can identify language tones and the
actual context.
4
To Summarize
  • The integration of Deep Learning and Machine
    Learning into talent acquisition of HR systems
    provides a
  • Personalized Employee Experience can be
    deployed into the entire lifecycle from
    recruitment to getting them on board.
  • Data-driven decisions Deep learning or machine
    learning helps HR managers make data-driven
    decisions based on

1 2 3 4
Data collection Data Analysis Study Insights Make
Informed Decisions
Modern Automation Modern algorithms help
machines to understand processes and variations.
Employees can be in complete control of their
careers through learning new career skills with
the help of AI-based algorithms. From a business
point of view, AI will be a focal point for
long-term HR strategies that boosts productivity,
efficiency, and innovation. Visit Us
www.ifcast.com
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