In a recent webinar, Split’s CTO, Pato Echagüe, and Backend Engineer, Robert Grassian, shared valuable insights into our journey of integrating AI capabilities into our product. At the heart of our discussion was the launch of our GenAI Chatbot, Switch, marking a significant milestone in our AI-driven innovation. Read on for further insights discussed in this webinar.
▶️▶️▶️▶️ Access the full, on demand webinar here ▶️▶️▶️▶️
Influence of AI in the Market
The market landscape is undergoing a profound transformation, driven by the widespread adoption of AI technologies. According to our recent survey, 72% of respondents are actively incorporating AI-powered capabilities into their applications. (Among them, 58% were planning on releasing some of those capabilities within the next year.) We believe this surge of interest in AI is poised to transition into a wave of new releases, signaling a significant shift in product development strategies across industries.
“It was important to us—for me as the CTO—and especially if you’re also on the technical side of the house, to be at the vanguard of innovation,” Pato says. “It’s a disruptive technology that has changed how we do things.” Split’s GenAI Chatbot was the first big AI project at Split, and we use feature flags to roll it out safely by decoupling deployment from release, using essential scheduling, and more.
AI Empowers Split to Achieve More With Less
AI has emerged as a powerful ally for us, enabling our team to accomplish more with fewer resources. Leveraging feature flags, we have successfully decoupled deployment from release, ensuring a safe and controlled rollout of AI-powered features such as Switch. “It’s a technology that can help our customers be more efficient. And, by doing that, will help us be more efficient to achieve more with less,” Pato says. This approach not only enhances efficiency in our product development but also facilitates seamless iteration and optimization of AI functionalities.
Switch: Enhancing Customer Experience by Saving Time
Switch, our GenAI Chatbot, has revolutionized customer interactions by offering instant support and access to information. With streamlined interactions and multilingual support, Switch empowers our customers to save time and navigate our product ecosystem effortlessly. The success of Switch underscores the tangible benefits AI brings to customer experiences and support workflows.
Future Trends in AI
As we look to the future, we remain committed to exploring advancements in AI technology. From integrating user actions and data interpretation capabilities into Switch to experimenting with upcoming models like GPT-4 Turbo, we are dedicated to pushing the boundaries of AI innovation. By staying at the forefront of AI trends, we aim to deliver cutting-edge experiences that meet the evolving needs of our users. “I think the market will tell you more,” Pato says. “Listen to your customers; figure out what’s important to them for security and confidentiality. Make sure they feel safe.”
What’s Next for Split
Looking ahead, we are poised to continue our journey of AI-driven innovation. With Switch serving as a springboard for future AI projects, we aim to enhance our product offerings and customer experiences further. By embracing emerging AI technologies and leveraging customer feedback, we are well-positioned to lead the way in delivering AI-powered solutions that drive value for our users.
The launch of our GenAI Chatbot, Switch, represents a significant milestone in our AI journey. By embracing AI innovation, we have unlocked new possibilities for enhancing customer experiences, optimizing workflows, and driving product innovation. As AI continues to evolve, we remain committed to staying ahead of the curve and delivering cutting-edge solutions that meet the dynamic needs of our users.
▶️▶️▶️▶️ Access the full, on demand webinar here ▶️▶️▶️▶️
Switch It On With Split
The Split Feature Data Platform™ gives you the confidence to move fast without breaking things. Set up feature flags and safely deploy to production, controlling who sees which features and when. Connect every flag to contextual data, so you can know if your features are making things better or worse and act without hesitation. Effortlessly conduct feature experiments like A/B tests without slowing down. Whether you’re looking to increase your releases, to decrease your MTTR, or to ignite your dev team without burning them out–Split is both a feature management platform and partnership to revolutionize the way the work gets done. Schedule a demo to learn more.
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