Here is some food for thought as we move into the Holiday Season. Next year we are likely to see the deployment of vertically integrated AI Agents. Entrepreneurs and Data Professionals, IMHO should pay attention to this rapidly evolving landscape, identifying repetitive tasks ripe for automation and leveraging AI to build tailored, scalable solutions that redefine industry norms. This panel discussion from Y Combinator dives into the revolutionary potential of specialised artificial intelligence systems tailored to specific industries or use cases. The panel traces the history of SaaS and its parallels with today’s AI-driven solutions, exploring how past innovations, like the adoption of XML HTTP requests enabling web-based applications, paving the way for today’s vertical AI opportunities. They discuss why vertical solutions often succeed where general-purpose ones fail: businesses prefer specialised tools that cater precisely to their needs. 💡What You Can Expect to Learn: - Understanding Vertical AI Agents: How these agents work and why they are poised to disrupt industries more significantly than SaaS did. - Strategic Insights for Founders: How to identify and capitalize on opportunities for building vertical AI solutions, emphasizing the importance of domain expertise and solving niche problems. - Market Dynamics and Growth Potential: Why the market for vertical AI agents is larger than that for SaaS, with examples illustrating their potential impact on businesses. - Challenges and Implementation: Insights into the adoption barriers, such as organizational resistance, and strategies to overcome them. - Emerging Trends: How improvements in foundational AI models and competition in the space are accelerating innovation and creating opportunities for startups.

Several people have asked for this link. I'd be interested in any commentary on what you think is going to have the biggest on your workflows in 2025? https://www.gartner.com/en/articles/top-technology-trends-2025

As reported by Gartner, the demand for data engineers is projected to surge by 90% by 2025, driven by the increasing reliance on AI-driven data pipelines and the exponential growth of data volumes. This shift is poised to redefine the role of data engineers, moving them from traditional ETL processes to more strategic positions focused on designing scalable, AI-integrated data architectures that can handle the complexities of modern data ecosystems. Brought to you by Vaultspeed. Check out the latest article at https://www.perplexity.ai/page/ai-driven-pipeline-evolution-lsR2XG.wSaWqMlr_l7oSww

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