QUARTERLY MAGAZINE October 2023 Vol 14
QUARTERLY MAGAZINE October 2023 Vol 14
Focus
It’s the year 2050. You are getting ready while humming your favorite K-pop number in front of the mirror. Your mirror, that usually generates real-time compliments for you, is awfully quiet today. Curious enough, you say the word. “Hey Mirror, what’s up?”
After a few beeps of processing, your mirror comes back with some news. Through its MRI capabilities, it has found a lump in your body. The mirror then proceeds to check your calendar, block time with an Oncologist and programs your autonomous vehicle to drive you.
The doctor, who has received the scans sent to him by the mirror, reviews the situation confirming that the lump is cancerous. Something that isn’t uncommon anymore.
“It’s very early, the earliest stages of stage 1, and we can cut it out.” Your car whisks you to a nearby facility where surgeons, armed with a precise, 3D map of your tumor’s location, snip it out. Minutes later, the doctor congratulates you. “You are cancer-free"
Generative AI? No? Okay. ChatGPT? Now we’re talking.
Since its introduction, it took a measly 5 days to hit a million users. Just for reference, the likes of Netflix and Facebook achieved this feat after a few years of inception. With a current rate of 1.6B website hits per month, it is one of the most successful launches of our era.
Turns out, ChatGPT is just one of the implementations of a broader field called Generative AI.
GenAI is a subset of artificial intelligence that is known for imitating human creativity through pattern recognition. It has the capability of creating diverse content across modalities. Be it text, audio, video or even code.
On the face of it, this looks like something that could just help content creators and marketing teams at best. Is there anything more to it? Anything substantial that could transform business models within the organization?
All of us have seen hype cycles before. What makes this different?
Let us dive in.
Since generative AI is a massive productivity booster, thinking in terms of individual use cases might not suffice. For example, GenAI could draft a spectacular email on your behalf. But would you call it a use case? I hope not.
Therefore, a better way to deal with this would be to create broader buckets and then try to fill in use cases in each one of them.
For now, the current landscape would have the following buckets.
1. Text Generation: You can go berserk with text generation using Gen AI. Think emailers, marketing copies, brand name suggestions, full blown articles, social media captions, legal contract creation, coming up with JD, etc. I could go on, but you get the drift.
Code generation could be a different bucket altogether, but I will put it under text for now given our business context.
2. Summarisation and Response: GenAI is great at understanding documents and their context. Therefore, you can leverage this capability to cut short time taken to review any lengthy doc. For example, RPG Happiness handbook comprises 117 pages. What if you are just interested in the travel policy? Instead of going through the entire content, you could feed that document to a GenAI bot and ask pointed questions directly.
In fact, one implementation of this is already live with our existing chatbot (Leena, Sherlock, Amy, etc.)
You could also extend this functionality to help sales teams to handle customer queries faster. In fact, you could cater to your customers as well by allowing them to question your documentation with ease.
3. Non-Text Generation: Remember how we talked about content across modalities? GenAI is quite good at generating images and audio as of now. While video may take some time, you can experiment with other modalities for marketing creatives. Internal communication is another use case. UI/UX designer could come up with prototypes, faster than ever using Gen AI.
4. Action: Couple GenAI with some automation providers and you have an RPA killer at hand. Imagine GenAI could take customer calls and help them with their queries? Sounds too good to be true? CEAT is already running a pilot on the same.
You could also extend this functionality to something as basic as actually applying leave on your behalf rather than informing you how to do it.
As I write this, 17 different use cases are identified across the group. There is a dedicated task force that meets weekly to discuss the progress of each of these cases. While the initial results look encouraging, we believe that this could be even bigger if all of us put our brains to it.
On that note, if you have a burning use case or even something that makes your life easier, reach out to me [email protected]
The games have just begun.
Artificial is realer than real.
The writer is Raghav Dudeja,
Senior Manager, Digital,
RPG Enterprises.
