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IBM’s $7B Bet on Vertical AI and What It Means for SaaS Founders

SaaStr

IBM’s $7B Bet on Vertical AI and What It Means for SaaS Founders. What’s emerging is a new paradigm: Vertical AI, where foundation models are specialized for specific industries and use cases. The WatsonX Platform Deep Dive What’s Actually Different Here WatsonX isn’t just another AI platform.

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The Keys to Getting to $500M ARR In Just 7 Years with Attentive’s CEO

SaaStr

The learning: When you solve a genuinely hard problem, you get three moats for free: Technical advantage through innovation Legal protection through patents Thought leadership in the space 2. Solve Hard Technical Problems Create multiple moats Patent protection Technical innovation Market leadership 2.

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Using Generative AI to Drive Corporate Impact

TechEmpower SaaS

Generative AI is revolutionizing how corporations operate by enhancing efficiency and innovation across various functions. Focusing on generative AI applications in a select few corporate functions can contribute to a significant portion of the technology's overall impact.

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53 Questions Developers Should Ask Innovators

TechEmpower SaaS

At TechEmpower, we frequently talk to startup founders, CEOs, product leaders, and other innovators about their next big tech initiative. After all, that’s what tech innovation is all about. After all, that’s what tech innovation is all about. The innovator/developer relationship needs to be a conversation.

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Clouded Judgement 1.24.25 - The Year of Enterprise AI

Clouded Judgement

Subscribe now The Year of “Enterprise AI” One of the biggest challenges facing AI systems in enterprises today is the “last mile” problem: how do you make AI both reliable and accurate for specific enterprise use cases? However the pace of innovation in large language models is extraordinary.

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Meet the Rockstars of Risk: Essential insights for software companies navigating payments, compliance, and security

Payrix

At Payrix from Worldpay, we have an internal team of risk management experts dedicated to helping software companies, like yours, manage payment processing, fraud prevention, and compliance. Such innovations save time and mitigate potential losses for our software partners and their users. compliance. compliance.

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The Four Barriers to AI Adoption

Tom Tunguz

AI adoption is slower than expected in many spaces. Most leaders wants to inject AI into their business to develop a competitive advantage. The pace of innovation, the early understanding of AI internals, & the non-determinism compound to create doubt. But no such standard exists for AI - yet.

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