1.
Tata Motors’ commitment to build EV
capabilities in 5 years
Creating a future-ready workforce and building talent for the
auto sector. With a focus on capacity building, Tata Motors, the Indian
automobile manufacturer, is doing its bit to develop a future-ready workforce
equipped with the skills required for electric vehicles (EVs) and other new-age
technologies. The company will equip 50 per cent of its workforce with new-age
auto tech capabilities within five years. In a media briefing today, the
company revealed that its employees had invested over 3,40,000 hours in
specialised training and development. The training will be delivered in
various forms and formats. The company has curated training modules to
address the requisite developmental needs of all — from shopfloor technicians
to line engineers, and plant management. These modules deliver relevant
technical skills, functional skills, as well as managerial and leadership
capabilities. Additionally, each function-specific curriculum of these training
modules is complemented by a dedicated programme that unfolds in various
stages including self-awareness, digital awareness, sustainability awareness
and industry 4.0 awareness.
2.
The time is now:
Transitioning to a Green Skills economy
In this panel
discussion, we explore actionable insights for organisations in building a
greener workforce by delving into how they can invest in skilling for
sustainability and drive eco-conscious practices in the workplace. As India
takes proactive steps to address climate change and build a sustainable future,
businesses are in a great position to attract and retain talent while
contributing to a more sustainable economy. The transition to a greener economy
is possible by identifying and upskilling employees in green skills. Ruchee
Anand, Senior Director, Talent and Learning Solutions, India at LinkedIn highlighted
how the Future of Work is closely linked to the Future of our planet, and the
need for the green transition at a skill level as she opened this insightful
and urgent panel discussion hosted in partnership with LinkedIn Talent Solutions. The
need for green skilling: A global outlook. While many countries have committed
to sustainable growth, the question is how can economies grow in a more
thoughtful and climate-friendly way, while providing more opportunities for
people. The answer lies in transitioning to a green economy through green
skills, alongside the ongoing economic, generational, and technological forces of
change. Data also attests to this with the WEF Future of Jobs report
highlighting how 69 million new jobs will be created and 83 million will be
eliminated by 2027. A large part of this job creation will be because of the
green transition.
.
3.
Unleashing the
Power of Generative AI in L&D: A Conversation with John Cherian, enParadigm
John Cherian, CEO and
co-founder, enParadigm takes us through the nitty-gritty of Gen AI and its
ability to enable learning professionals to produce immersive learning
experiences that were once prohibitively expensive. In the rapidly evolving
landscape of Learning and Development (L&D), the emergence of Generative AI
is akin to the transformative power databases once had in managing data. Imagine
a world where content creation, traditionally a labour-intensive process,
becomes automated, freeing up learning professionals to focus on strategy and
outcomes. In this enlightening conversation with John Cherian,
Co-Founder & CEO of enParadigm, we delve into the profound implications
of Generative AI in the world of L&D. Get ready to explore how this
technology is reshaping the way we approach training, skill development, and
talent management. Before the advent of Generative AI, the creation of content
has been a painstakingly manual endeavour. Whether it was crafting training
materials, writing scripts, or designing visual content, every element had to
be generated from scratch. John draws an analogy with the data revolution of
the 90s and early 2000s, highlighting how AI is now revolutionising content
generation just as databases revolutionised data management. Consider the
production of a movie, where AI can automate tasks like storyboarding, scene
creation, and scriptwriting, liberating creators from the burden of manual
labour.
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