Taking inspiration from organisations like Wipro, it is the need of the hour to urge the workforce to focus reskilling, secure learning tools and create customised learning plans.
Artificial intelligence is set to disrupt the job market for all types of industries, changing the way we run our operations, businesses, and dealing with existing or new customers. New kinds of workers will be fundamental, working along with robots and increasing automation to drive company-wide AI strategies. However, it is also true that many companies and employees may not be prepared for AI advancements and significant cultural change.
Even as it causes declines in some jobs, automation will change much
more. Research says that in about
60% of jobs, at least 30% of the job activities could be automated, which
highlights substantial workplace transformations and changes for all future
workers. As a result, modern organisations need to accomplish more in arranging
for the upcoming employment disruption, and how workers need to get ready for
the automation age.
The preparation is crucial because AI is estimated to impact workers at
all skills and training levels, and the first target will be to get rid of
repetitive functions and then move towards augmented intelligence that enhances
the human brain. The influence can be understood from the fact that global
organisations such as the World Economic Forum and International Labour Organisation
have defined policies to prepare for the AI disruption.
As a result, experts do not doubt that AI will uproot a few job roles,
and make new types of jobs in light of the movements in profitability and
client requirements. On the other hand, it will also bring ground-breaking new
tools for the workforce that can enhance efficiency at different levels.
Businesses are, therefore comprehending retraining workers to address foreseen
interruption in the job market.
There is also a quickly expanding interest for hybrid-type job functions
which implies that understanding the nature of neighbouring abilities and the
market interest for these aptitudes, as opposed to one particular job has also
created pathways to new doors utilising reskilling. For instance, as the value
of deriving insights from data has increased dramatically, more jobs require
data science and AI abilities in addition to other technology aptitudes. This
holds for all departments in the company, whether it is sales, marketing or IT,
AI skills are needed across the board.
Why Continuous Learning Via Training Programs Becomes Crucial
According to experts, there are some necessary skills which data
scientists should learn for AI/ML projects. These include programming languages
such as Python and R along with fundamentals of Statistics and Machine Learning
concepts to help leverage various open-source libraries, ML engines and
Cognitive APIs across different platforms. Then, to take it to the next level,
one needs to do advanced things like understanding various ML algorithms,
creating Neural Networks and Deep Learning models and finally do model testing
and hyperparameter tuning. All of this requires extensive training, for which
most companies may not be prepared at the moment.
Yet, there are some organisations which are working to ensure that
skills gaps are addressed through constant learning and engagement with
employees. For example, at Wipro runs multiple such initiatives which are aimed
at reskilling required for the AI age. With the internal training hub-School of
Decision Sciences and Cloud environments like Top Gear, Wipro has made learning
an engaging and fun process for its vast staff base. For AI and machine
learning, the organisation has designed courses at various levels.
To understand the implications of AI and automation on both technical
and non-technical jobs, Analytics India Magazine got in touch with Ramswaroop Mishra, who has taken the
initiative of reskilling and preparing over a lakh employees across Wipro and
shed light on the numerous initiatives his organisation has undertaken to push
reskilling for on a mega scale.
"Our training initiatives are
customised in such a way because different jobs will have different needs for
reskilling. For technical jobs, we have defined the various levels. At level
one, we have application developers, level two is for Applied AI & ML Engineers and
at level three we are building our core AI & ML engineers. For each of these
levels, we have defined our own courses,” told Ramswaroop Mishra, Data,
Analytics and AI Competency Head at Wipro.
For building advanced data skills, Wipro’s School of Decision Sciences
serves as an online platform where employees can register for different courses
in areas of AI and data science which employees take up and learn at their own
pace and interest. Apart from that, Wipro’s internal crowdsourcing platform
TopGear gives assignments and activities which are accessible for learners to
get hands-on involvement with real projects of the company. Wipro’s reskilling
initiatives do not just stop there-- the organisation also has collaborated
with industry body Nasscom for initiatives like FutureSkills-TalentNext program which aims
to train 10,000 students from 30 engineering colleges in India on advanced
technology skills.
Experts like Ramswaroop Mishra say that future learning will be focused
on a platform-based approach which helps to learn the skills needed for
emerging technologies. More importantly, online platforms help individuals
develop an aptitude for learning as it allows content and people to come
together. On the other hand, with so much content available today, curating the
best content for future jobs, or specific enterprise needs remains a
challenging task for most companies.
The Need Of The Hour
To get ready for AI impact, organisations need to comprehend the present
training scenario, its restrictions, look at the most recent research on the future
abilities and feature the best business, HR systems and instructive models.
With cooperation particularly across public and private associations, business
leaders can create viable skills coordinating across tech solutions,
deep-rooted learning and reskilling to deal with the changing universe of
work.
Be it Full-Stack, DevOps, Micro Services, IoT, Big Data, data science or
machine learning, companies have to carefully examine and drive various
training initiatives through devices and platforms for hands-on reskilling for
employees. Taking inspiration from organisations like Wipro, it is the need of
the hour to urge the workforce to focus reskilling, secure learning tools and
create customised learning plans.
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