AI will simply help humans in the fields they’re not good at-Kamalika Bhattacharya, CEO & Co-founder, QuoDeck
TechGig had an exclusive interview with Kamalika Bhattacharya, CEO & Co-founder, QuoDeck, to understand how AI is shaping our future. To know more about this, give it a quick read.
The evolution of AI has been a remarkable journey marked by continuous advancements. From its inception as a theoretical concept, AI has transformed into a practical reality. Early AI systems focused on rule-based logic, but as computing power increased, machine-learning techniques emerged, allowing AI to learn from data. To understand how AI is shaping our future, Pooja Singh had an exclusive interview interaction with Kamalika Bhattacharya, CEO & Co-founder, QuoDeck. To know more about this, give a quick read -
How do you see AI transforming B2B interactions and relationships in the coming years?
The industry has started to adopt AI in a big way in several departments like customer support, operations, sales and marketing, and fraud detection. It has helped them improve customer interaction, cut costs, increase productivity, and decrease turnaround time.
A massive advantage of AI is that its output comes with context. It can process large amounts of data, as well as independent inputs, and come up with actionable insights. This kind of slicing and dicing really helps companies get more bang for the buck with something like, say, marketing spending.
What potential challenges might companies face when adopting AI, and how can they overcome these challenges?
AI is still an evolving field, and people forget that it has only been 8 months or so since we saw generative AI come in. Therefore, as a field, it is still evolving, and in terms of products or solutions, the field is still very much in its infancy.
As more companies jump on the AI bandwagon, one of their most critical challenges is going to be to keep pace with the evolving nature of products or solutions in this space. Therefore, keeping processes and systems stable through the fast evolution of AI will be a challenge for larger companies.
Another technical challenge that companies will face will be the availability of data they feed into their AI algorithms. The effectiveness of AI is only as good as the data it trains on, and so companies would need to consolidate and clean up their data systems to start working with AI.
Do you think, will AI be ever capable enough to replace humans?
I think we need to make a very nuanced argument here. It’s true that AI might end up making a lot of low-skilled white-collar jobs redundant. And there’s no point in denying that. However, AI, like any other tool or technology, exists to help humans function better and free up time for them to do things they’re actually interested in. For instance, ChatGPT has helped many people in non-writing professions make better presentations, write better emails, and in general, argue their points of view more effectively.
This is just one example, but there are many other areas like art, coding, and music in which someone who is not proficient in that field can try their hand at it and create something. Not everyone can be good at everything, and AI will simply help humans in the fields they’re not good at, and in some cases, maybe even help them improve or experiment in areas they’re good at. I don’t think the narrative around AI replacing humans is accurate at all.
How does your company leverage AI to tailor solutions and offerings according to individual client needs and preferences?
We use AI and machine learning to help create bespoke learner journeys. Each learner has different needs, pace and will respond differently to various kinds of feedback. AI and ML help us crunch learner data and our proprietary algorithms
then create customized learner feedback and journeys.
This helps them learn faster and feel more confident. AI also helps us automate at scale. We’ve noticed that many smaller new companies don’t even want to conduct in-person training, and would rather jump straight to online training modules as they are well-versed with the effectiveness of digital modes of working. AI helps us build these solutions quickly.
QuoDeck caters to various audiences like employees, value chains, and gig workforces. How does the platform customize learning experiences for each of these groups?
We cater to over 5 Million users across these various segments, and we have vast amounts of data and intelligence on what works and what doesn’t for each of them. So that definitely works to our advantage. For instance, training for gig workers needs to be extremely quick and interesting, as this set needs to get deployed very quickly.
They also tend to have less time to spend on learning. For employees, we can make longer and more detailed modules, as well as leverage strategies like group learning. For sales & distribution ecosystems, for example, the approach changes to a lot more hand-holding in the initial stages of their journey to ensure that they are enabled to do their jobs better.
Apart from our own insights, we also use AI and ML to customize the learning journeys as per company and individual, as mentioned earlier.
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