AI First Business in the era of Generative AI
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AI First Business in the Era of Generative AI
Introduction
We have a stellar session here led by Lor, featuring a very intriguing discussion on the journey of natural intelligence towards becoming an AI-first business. Lor, who has nearly 20 years of experience in the tech industry and is currently the CTO of Natural Intelligence, gives a first-person view of how to drive such a journey in a big company.
Background of Natural Intelligence
Natural Intelligence was founded in 2009 and remains a fully bootstrapped company. The company excels in assisting consumers in making decisions by synthesizing overwhelming search results from platforms like Google and Bing into top 10 lists. This approach helps consumers make informed decisions about online services. The company is a major player in the adtech world and owns two main brands: Top10.com and BestMoney.com. These brands operate across diverse categories including finance, insurance, entertainment, B2B, health, and home.
The Four Pillars of Transformation
To harness the full power of AI, Natural Intelligence has come up with a comprehensive strategy divided into four pillars:
- Powering Efficiencies
- Embedding AI Capabilities into Core Products
- Igniting Innovation
- Steering the Future
Powering Efficiencies
The company aims for a 10% productivity increase in key areas including marketing, development, analysis, and legal. They have a cross-company task force, regular learning sessions, and a robust compliance framework. The impact of AI is measured through both bottom-up and top-down approaches to ensure tangible productivity gains.
Embedding AI Capabilities into Core Products
Natural Intelligence is enhancing its product portfolio by incorporating text and image generation and developing consumer-facing chatbots. The focus is on quality, efficiency, and maintaining a human-in-the-middle approach as much as possible.
Igniting Innovation
With AI, the company can now undertake projects that were previously too expensive or complex. These include conversation monetization, intent flow, and personal profiler tools. These innovations are made possible by leveraging unique data assets and advanced AI tools.
Steering the Future
The company is actively engaging in partnerships with major players like Google, Bing, and OpenAI to stay at the forefront of innovation. They also collaborate with startups to explore new opportunities and solutions.
Achievements and Challenges
The strategies implemented so far have shown promising results. The adoption of AI tools has helped solve tough automation and knowledge management challenges. However, the rapid pace of innovation presents challenges in terms of tool maturity, stability, and adoption rates.
Conclusion
Lor emphasizes that we are in a unique era of disruptive transformation. It is crucial to actively shape and influence this evolution, rather than just benefiting from its artifacts. Natural Intelligence is committed to leading this transformation and making a significant impact in the AI-first business landscape.
Keywords
- Natural Intelligence
- AI-first business
- Generative AI
- Adtech
- Productivity
- Text and Image Generation
- Consumer-facing Chatbots
- Conversation Monetization
- Intent Flow
- Partnerships
FAQ
Q: What is the main goal of Natural Intelligence? A: The main goal is to assist consumers in making informed decisions by synthesizing overwhelming search results into top 10 lists.
Q: What are the four pillars of Natural Intelligence's AI strategy? A: The four pillars are Powering Efficiencies, Embedding AI Capabilities into Core Products, Igniting Innovation, and Steering the Future.
Q: How does Natural Intelligence measure the impact of AI? A: The impact is measured through both bottom-up and top-down approaches, focusing on productivity gains and efficiency improvements.
Q: What new areas has AI enabled Natural Intelligence to explore? A: AI has enabled the company to explore conversation monetization, intent flow, and personal profiler tools.
Q: What are some of the challenges faced by Natural Intelligence in implementing AI? A: Challenges include tool maturity, stability, adoption rates, and the rapid pace of innovation.
Q: Who are Natural Intelligence's key partners in their AI journey? A: Key partners include Google, Bing, and OpenAI, along with several startups.
Q: What is the importance of having a human-in-the-middle approach? A: A human-in-the-middle approach ensures that while AI performs the heavy lifting, the final decision or approval still lies with a human, minimizing risks and ensuring quality.