Two years after OpenAI launched ChatGPT, Innovative AI (Genetic AI) has reached a point where industry experts are openly questioning whether Emerging technology has been overhyped.
Gartner recently predicted at least 30% of AI generation projects will be abandoned after a proof-of-concept phase in late 2025. Such setbacks mean the analyst said the technology has reached the “trough of disillusionment” in its latest version Hype cycles for emerging technologies.
Falling into this innovation abyss is a big fall for the AI generation. Last year, CEOs of tech companies began their conference keynotes, speaking breathlessly about the wave of AI-powered products.
Nowadays, it’s common to hear CEOs apologizing for mentioning the AI gene. These technology bosses realize that experts are gradually becoming disillusioned with the AI generation. One technology that has a lot of promise in increasing productivity is often get stuck at the starting gate.
However, some executives are moving beyond the discovery phase and helping their organizations embrace next generation AI. Take Rahul Todkar, head of data and AI at travel specialist Tripadvisor, who told ZDNET that the technology could be a game-changer.
“I am a believer in innovative AI technologies,” he said. “There’s a lot of discussion about ‘Is this fact or exaggeration?’ I agree with the sentiment ‘The impact and benefits of this technology are real.’ And we’ve seen that in our company.”
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Todkar explains how Tripadvisor uses AI gen in manufacturing services to benefit customers and the company’s bottom line.
1. Find the right challenge
Todkar said Tripadvisor found that planning a successful trip is a common weakness among travelers. “We have a lot of different products and solutions in this space,” he said.
“But with the AI generation, what we’re thinking is ‘How can we re-imagine that process from a perspective that makes it super easy, fun and highly personalized for the traveler? our calendar?'”
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Todkar said his team at Tripadvisor is on a mission to use data to transform the customer experience.
Todkar: “I am a believer in innovative AI technologies.”
Tripadvisor
They leveraged the company’s vast trove of customer data and used next-generation AI, massive language models, and internally developed recommendation engines to create personalized content for travelers. .
The result of this privacy-compliant development work is the Tripadvisor Trip Planning Solution. “We were able to launch, iterate and perfect this tool over time in nine months,” he said.
“The adoption of this tool has been amazing. We recently surpassed over a million trips generated by our generational AI solution. In my opinion this is a major milestone.”
Todkar said these adoption numbers are just one measure of the tool’s success. This technology is also helping to enhance customer experience and engagement — and the techniques being exploited will help point the way to further success.
“It’s fascinating,” he said. “I think it’s a win-win for our business and our customers. It’s a great innovation where we combine the latest technology with user experience.”
2. Use the right technology
Successful next-generation AI solutions like Tripadvisor’s Trip Planning solution are just the tip of a much larger iceberg — and Todkar says his company’s underlying technology efforts have been focused on two areas: Area: foundations and models.
“It all starts with getting the data in the right place,” he said, referring to the company’s deployment of the Snowflake AI Data Cloud for Travel and Hospitality. “Many times, it’s easy to not pay enough attention to the underlying data needed to make AI genomic solutions successful,” Todkar said.
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“So moving from testing to production starts with data — storing all your data in one place, which is where we use Snowflake. That’s the underlying technology.”
Todkar said his data team uses those cloud-based platforms to build a “thoughtful approach” to AI generation that combines the best of big-name LLMs with content development work. set.
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“We use commercially available models — that is OpenAIWe used it a lot GPT model line — and then combine that technology with our internal recommendation system models that we’ve patented and built over time,” he said.
“We can create the best experiences for travelers by using different models and packaging them in a way that provides contextual recommendations.”
3. Turn use cases into revenue
The right use case for AI generation also brings other benefits. Todkar said satisfied customers will boost Tripadvsor’s revenue.
“We’ve found that when travelers find the right recommendations — personalized to them and relevant to what they’re trying to do — engagement with those offers increases,” he said. That particular output will be significantly different.” triples engagement — and that engagement can lead to increased time spent on our site and more revenue.”
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He gives the example of a family of four vegetarians, including two children, using the Trip Planner tool to get personalized vacation recommendations. “If I were traveling with a family with young children to Napa and I was asking for recommendations, wineries would be off-limits to me,” he says.
“So please help me recommend a place I can stay in Napa. And when I’m looking for dining options at my restaurant, if I’m a vegetarian, help me choose a place Fit.” ‘Todkar said AI-powered recommendations tailored to traveler needs will lead to significantly increased engagement.’
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“What we see is that our users love that level of personalization. That process is absolutely powered by the huge amount of data that we have,” he said. travel together. All of those insights are incorporated into our personalized recommendations.”
4. Plan for long-term innovation
Tripadvisor is exploring other use cases for general AI. One of these cases, the review summary, has been in production for about six months. Todkar said the app illustrates how the company plans to do more with emerging technology.
“Let’s say there’s a great pizza restaurant in Chicago with hundreds of reviews. No one has the ability or time to read through all those reviews,” he says. What’s the best thing about the restaurant and what are the things to look out for?'”
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“We did all of that review summarization using synthetic AI and large language models.”
In the long term, Todkar believes that generative AI can be used to create interactive and multimodal experiences for users. He said Tripadvisor has about half a billion images on its site, including photos submitted by users and photos from property owners. These images can be used to create tailored recommendations as well as new levels of engagement and experiences.
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“We have a huge collection of photos on our website that we can use for the models,” he said.
“If you’re looking for a restaurant and you’re vegetarian, you don’t want to look at images of steaks. So the images we present can be personalized — and that’s about as far as it goes.” that we’re tackling next. That’s on our roadmap to capture these types of opportunities.”
