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AI Agents explained: What they are, how they work, their benefits, dangers and more | Mint

LivemintLivemint · 7m ago
AI Agents explained: What they are, how they work, their benefits, dangers and more | Mint
Medial

AI agents are a new type of AI tool that goes beyond traditional chatbots. They can work alongside or on behalf of users, performing various tasks such as answering questions or handling assignments. Different types of AI agents focus on different tasks, from customer support to managing repetitive work and even preventing cyberattacks. Microsoft has already integrated AI agents into consumer-grade applications like Microsoft 365, allowing users to automate tasks such as drafting emails or generating spreadsheets. AI agents have the potential to close skills gaps and automate repetitive tasks, but they also pose risks such as errors, malfunctions, and job displacement.

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Hyper personalization will become the norm, thanks to CX AI adoption

TechradarTechradar · 1y ago
Hyper personalization will become the norm, thanks to CX AI adoption
Medial

The adoption of AI in customer experience (CX) is set to revolutionize customer satisfaction. CX AI will eliminate the need for customers to repeat information and provide instant and efficient resolution to their requests. Siloes within organizations will be broken down, creating a seamless experience for consumers across different teams and platforms. Businesses are investing in CX AI to improve efficiencies and customer satisfaction. The concept of an "AI Butler" will serve as a personalized single point of contact for all inquiries, providing a seamless and connected interaction. AI-powered unified cloud platforms will simplify agents' work, allowing them to focus on more intricate cases and improving their job satisfaction. The benefits of CX AI extend to consumers, agents, and businesses, offering a seamless omnichannel experience and expanding capabilities for productivity and profitability.

Build for customers, not VCs

YcombinatorYcombinator · 3m ago
Build for customers, not VCs
Medial

It’s easy to analyze your way out of taking the first step. It’s something YC sees a lot, particularly when founders try to choose what to build based on what they think VCs will like. These founders will find a great problem that they could solve, only to convince themselves it’s not “venture scale.” Before they’ve written a line of code or even talked to a single person about it, they’re trying to predict market opportunities and exit strategies a decade down the road. That’s just not how early stage startups work. In this one, they talk about the risks of “thinking like a VC”, how to know when you’re stuck in this mindset, and how to unlearn it (spoiler: stop reading so much about who’s raising what.) They’ll also cover a short list of things that we’ve found actually matter when starting a company — it’s simpler than a lot of people think.

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