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Summary Alliance’s prediction for the future is that AI will become so abundant in cold outreach that those methods won’t work in the future. We also think a lot of AI-enabled cold outreach is missing the point: personal sounding emails are great until they all sound personal. So in order to understand how to truly use AI effectively in sales we asked ourselves a basic question: what can AI never do? Answer: human interactions; the handshakes; the building of the network. Our mission is simple: build tools to enable referrals & better connections with clients. Here are four quick summaries...
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We started noticing a pattern in the Health IT space—companies were making critical business decisions with incomplete or outdated data. Sales teams were chasing the wrong leads, product teams were missing market shifts, and overall, businesses were struggling to navigate a rapidly evolving industry without the right insights. It wasn’t that they lacked strategy; they lacked access to high-quality, real-time market intelligence. That got us thinking: What if we could provide businesses with verified, actionable data that actually helps them make smarter decisions? Right now, we’re investigating the best way to gather and deliver this kind of intelligence. We believe...
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AI is much like the word “transportation”: it’s a broad term that covers many different tools and technologies, each serving a unique purpose. Just as transportation can mean anything from bicycles to airplanes, AI encompasses a wide range of solutions, from data analytics to machine learning. In this post, we’ll be focusing on one specific type: large language models (LLMs). Before diving into LLMs, let’s first consider how humans process information. Imagine receiving an email for a new order. Without much thought, you quickly recognize it’s an order request, open the attachments, update your system (like a CRM), and then...
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