AI Tools and Technology (Don’t Reinvent the Wheel)

AI Tool Collaboration

I recently came across a LinkedIn post displaying the array of AI tools currently available in the market. For a tech executive, it’s daunting to keep up, especially since the list likely isn’t exhaustive given the daily changes in the field. I added the following comment to the post, highlighting this challenge.

“This highlights that the AI market is exploding with vendor developed tools and technology. Businesses need to step back from their AI strategy and consider what is readily available and understand where these products are going from a developmental perspective, i.e., will they address longer term business needs. So many businesses are investing in homegrown AI. In many cases it’ll be throw away technology as products on the market bypass what’s been developed inhouse. Work with vendors to incorporate what’s being developed (buy vs. build). Don’t create another legacy environment by reinventing the wheel. Most likely there is, or will be shortly, a solution that you can incorporate.”

on LinkedIn

Tech Exec - AI Tools on the marketplace. A mess for a tech executive to keep track of.

The AI market is rapidly expanding. Businesses should evaluate their AI strategy and consider using existing AI tools instead of creating their own.

Collaborating with vendors can bring cost savings and access to cutting-edge technology, keeping businesses competitive and avoiding legacy systems.

Moreover, collaborating with external vendors enhances flexibility and scalability.

As AI technology advances rapidly, businesses must adjust strategies accordingly. Third-party solutions help companies integrate new developments easily, staying ahead in the industry. Leveraging existing AI products avoids setbacks of in-house solutions. Homegrown AI can become obsolete as newer products emerge. Partnering with established vendors saves time and resources on potentially outdated solutions.

However, it’s important for companies to thoroughly research and evaluate potential AI vendors before partnering with them. Not all products will be suitable for every business and it’s crucial to find a vendor that aligns with the company’s specific needs and goals. Additionally, businesses should also prioritize data privacy and security when choosing a vendor, as protecting sensitive information is of utmost importance.

In summary, while crafting a custom AI solution may be tempting for some tech executives, it’s vital to weigh the possible drawbacks. Partnering with established vendors and utilizing existing AI products can save time and resources, leading to better outcomes in AI efforts. As tech advances, the collaboration between businesses and AI vendors grows more crucial for success in the evolving business landscape. Therefore, staying updated on AI trends and integrating external solutions into strategies can keep companies ahead in the competition.

The specific LinkedIn post is here if you’d like to see the graphic with the tools.

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