How AI’s Role is Expending in Modern Business

Vertical AI
3 min readNov 6, 2024

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Artificial intelligence is dramatically altering the business landscape. A recent survey even found that 73% of U.S. companies are already integrating AI across various functions, with more than half of them using generative AI (GenAI) to streamline tasks, improve efficiency, and enhance decision-making. As 2024 comes to an end, the influence of AI is only becoming more pronounced. AI-powered solutions are now central to driving revenue, improving customer engagement, and operational processes. This rapid adoption underscores a clear trend: companies aren’t just interested in AI, they’re actively implementing it into their core strategies to stay competitive.

Customizing AI to Add Precision and Value for Businesses

While foundational AI models, like GPT, offer broad functionality, they often lack the specific focus required to address unique business challenges effectively. Customization makes the difference here. By adapting these foundational models with a company’s unique data, insights, and expertise, businesses can realize more value and accuracy from AI.

The benefits of customized AI include:

  • Enhanced Insight and Precision: Tailored AI models capture industry-specific language, data trends, and goals, producing insights that foundational models simply can’t match.
  • Better ROI: Custom models yield more relevant outcomes, maximizing the return on investments.
  • Competitive Edge: With customized AI, companies can develop tools that align with their strategic objectives, giving them an edge.

At Vertical, we see the future of AI in these customized, industry-specific applications that directly address the challenges and opportunities in each sector.

The Market is Just Beginning to Unfold

Even with rising interest, the market for AI models is still in its early stages. The global AI market is expected to grow with a 36.6% compound annual growth rate from 2024 to 2030.

Many businesses are only now discovering how to adapt AI to meet their specific needs. The shift towards custom AI solutions is expected to accelerate as the value of targeted tools becomes more clear. The generative AI sector has already seen a notable increase in adoption, with 65% of businesses now regularly using GenAI.

Vertical AI stands ready to lead this charge, developing tools that will equip organizations to easily implement customized AI without requiring advanced technical skills.

Vertical AI: Simplifying AI Customization for Businesses

At Vertical, our mission is to make AI customization accessible, easy, and impactful. Through our no-code studio, businesses of any size will be able to fine-tune AI models with their own data, transforming basic models into powerful, industry-specific tools. We handle the technical heavy-lifting so users will be able to concentrate on what truly matters: using AI in ways that improve their business objectives.

With Vertical AI, businesses will be able to:

  • Customize Models Quickly: Fine-tune foundational AI models with their industry-specific data and parameters through an intuitive interface.
  • Utilize Distributed GPU Resources: By tapping into decentralized GPU power, we are planning to enable high-quality customization that will be both scalable and cost-effective (up to 30% cheaper than traditional providers).
  • Monitor and Optimize Performance: Real-time analytics provide insights that will allow users to refine their models continuously, ensuring relevance and effectiveness over time.

Looking to the Future

The future of AI is all about customization. As industries increasingly turn to AI-driven solutions, the demand for models tailored to specific business needs will only grow. The days of one-size-fits-all AI are over. Vertical AI plans to be at the forefront, helping companies tap into the full potential of AI by making customization accessible.

Got you excited? Make sure to follow us while we embark on this journey:

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Vertical AI
Vertical AI

Written by Vertical AI

A No-Code Platform for AI Model Fine-Tuning, Build on a Decentralized Computational Network