How can corporates acquire AI training to boost efficiency

How Can Corporates Acquire AI Training to Boost Efficiency | Explained

Getting a poster designed, a website created, or an ad copy written has become as simple as ordering Alexa to set an alarm for 6 am, isn’t it? Thanks to the Artificial Intelligence (AI) wave that has hit with the onset of GPT tools, we have simplified diverse redundant tasks through automation.

While there are people who see AI as a threat, there are more folks who focus on the advantages AI has to offer. A simple SWOT chart can switch the position of AI from being a threat to an opportunity. And this is not an assumption but a fact stemming from various reports.

Statistics reveal that the implementation of AI has enabled over 79 percent of the companies out there to be more productive and efficient. Not just that, global companies in the supply chain space were able to lower their costs by 44 percent by deploying AI.

Through chatbots, no code platforms, automation suites, GPT tools, and more, we are now in a better spot to make the machines work for us.


Working with AI requires advanced competencies and talent that needs to have both technical and practical grasp of the technology. Besides, AI is also multi-disciplinary. Meaning, it involves working with other emerging technologies such as big data, data science, business analytics, its subset machine learning, and more for maximum outcomes. So, a foundational or basic understanding of these is recommended as well.

However, finding the right talent is a task in itself and numbers also reveal that the demand for AI talent is high and so are recruiting expenses. All such factors only make enterprise training inevitable. By implementing a tailored training programme on AI for your IT workforce, you can unlock new potentials and avenues to better leverage AI for your business.

So, for those of you contemplating the need for AI training programmes, Vinay Konanur, Vice President – Emerging Technology, UNext Learning will share a few compelling reasons why:

AI is evolving every single day. With advancements happening so dynamically, workforces need something beyond fixed one-time training programmes. They need a mindset of perpetual learning – a pursuit – that puts your training goals on autopilot.

Theory is good but AI is all about practical applications and that’s why hands-on learning makes your workforce more capable of harnessing the potential of AI for your enterprise. From the arsenal of tools available to refining coding skills to developing proprietary AI tools and platforms, experiential learning modules work best in enabling your workforce to be more results-oriented.

Research on the implications of AI has been presented often after the substantial rise of GPT tools. With the founders of such tools batting for moderation and interventions from stakeholders for white hat applications, ethics, and better privacy, there are tons of intricate aspects professionals have to look into when deploying AI. That’s where one-to-one interactions, guided sessions, and guest lectures from industry veterans help.

Courtesy : IndiaToday

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