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Head of Data & Analytics, Kellanova (Kellogg's) AMEA | Top 100 AI Leaders | GCC | GenAI & Deep Tech | Startup Mentor & Advisor | Influencer & Keynote Speaker

From AI Assistants to AI Enterprise 🚀 In the recent times, the data and analytics landscape has been flooded with AI-powered tools - "assistants", "copilots", and "agents". We have probably seen these terms used interchangeably. But are they really the same thing? Understanding the distinctions between these AI-powered tools is crucial before considering their purposeful usage & adoption. 💎 AI Assistants: Think of these as your digital sidekicks with low autonomy. They require significant human input and guidance, often performing basic tasks and act as productivity boosters and not decision makers or action takers. Some use cases - Basic customer service, data entry, task management (scheduling appointments, setting reminders, and managing to-do lists). 💎 AI Copilots: Positioned between assistants and agents, copilots offer a balance of human assistance and autonomy. They not only enhance productivity but also provide valuable support in intelligent decision-making through recommendations by asking the right questions & analyzing data patterns, while not taking actions on behalf of humans.  Some use cases - Content creation (documents, music, design), recommendation systems (sales / marketing / HR copilots), code generation & debugging, research. 💎 AI Agents: These are the autonomous powerhouses. They can act independently to achieve specific goals, such as automating complex workflows or making data-driven decisions and can learn from their experiences. They decompose multi-step problems into intermediate stages, mimicking a "thinking process" to solve the problem without human supervision. Some use cases - Autonomous Systems (self-driving car, drones / robots), personal assistants, self-sustaining processes (supply chain, dynamic pricing, trading), personalized healthcare. By understanding these distinctions, you can choose the most appropriate AI tool for your specific needs. ⭐ Autonomy: Agents are the most autonomous, capable of acting independently. Copilots offer a balance of autonomy and human guidance, while assistants require more human input. ⭐ Complexity: Agents are often used for more complex tasks, while assistants and copilots are better suited for simpler tasks. ⭐ Scope: Agents may operate across multiple domains, while assistants and copilots are often focused on specific tasks or industries. #GenerativeAI #GenAI #AIAgents #AgenticAI #Copilot (Image Source: Bain Capital Ventures)

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Chandan Vijay

Global Chief Data Officer @ABB Energy Industries | Ex-Honeywell | Ex-GE | Data & Analytics | Data Strategy | Digital Transformation | Product Management | Cloud Architecture | Data Lake

3mo

Interesting transition!!

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