1 / 3

5 Practical Tips to Assess Your AI Partner

You need to choose a trustworthy company as your artificial intelligence partner. And we recommend you consider the following factors before hiring such a partnerttttttt

4seer
Download Presentation

5 Practical Tips to Assess Your AI Partner

An Image/Link below is provided (as is) to download presentation Download Policy: Content on the Website is provided to you AS IS for your information and personal use and may not be sold / licensed / shared on other websites without getting consent from its author. Content is provided to you AS IS for your information and personal use only. Download presentation by click this link. While downloading, if for some reason you are not able to download a presentation, the publisher may have deleted the file from their server. During download, if you can't get a presentation, the file might be deleted by the publisher.

E N D

Presentation Transcript


  1. 5 Practical Tips to Assess Your AI Partner After your company has grown to a certain level, you will have a large amount of data. As a result, you need to work on analyzing the data. But, a problem arises–analyzing such large amounts of data poses challenges manually. So, you have to turn towards artificial intelligence to analyze the data seamlessly. One of the best ways to analyze such large datasets is hiring an artificial intelligence consulting company. Today, there are many such consulting companies, each claiming to be the best. But, all such companies do not possess the requisite capabilities to perform tasks to clients' satisfaction. You need to choose a trustworthy company as your artificial intelligence partner. And we recommend you consider the following factors before hiring such a partner: #1. How Long is the Company in Business? First, examine how long your prospective partner has been in business. Do not consider a startup within a year of its inception, as there are possibilities of such a company winding up operations due to failures, incompetencies, etc. You can consider a company crossing three years of existence because companies usually become mature and have a chance to stay in the market for several years. Therefore, do not forget the timeline of your prospective artificial intelligence partner. And ensure that it is more than three years, which is the essential timeframe for a company to get a product into the market, acquire some customers, and get organized to serve customers seamlessly. #2. What Platform Does the Company Provide? Next, check the technologies used by your prospective partner, and ensure that they can serve your business effectively and for a long time. Ensure that the technology they provide is scalable, flexible and portable. Remember that you might eventually need to host your platform in the cloud, on-premises, or both. So, the platform has to be flexible to allow changing to the cloud without high costs.

  2. Again, the partner's software is another thing to look at beforehand. With the speed at which technologies change nowadays, choosing open source solutions can be a viable option, as such technologies do not only provide a possible solution but also adapt to the market needs. #3. Does the Company Offer APIs? If you implement artificial intelligence, do not be under the impression that it is equivalent to having a working API. Remember that things are different for businesses. In your business, you can have different users who want various applications. For example, executives may wish to use dashboards to track overall results, and in-house data scientists may want to code. And developers may want to integrate artificial intelligence into their production applications. In addition, users may want to work with artificial intelligence with their existing tools. Therefore, you should ensure that your prospective partner is one of the top artificial intelligence companies that offer open APIs. #4. Does the Company Offer a Full Cycle of Artificial Intelligence Development? You should look for an artificial intelligence partner that supports the complete lifecycle. For example, the implementation of artificial intelligence may call for additional efforts, such as data mining and processing, machine learning, model deployment, monitoring and management, and application development. #5. What is their Team Structure? Ensure that the company's team can serve your needs and are domain specialists with high expertise capable of serving your goals. In addition, the team should be flexible enough to discuss all possibilities with you. And, they should take charge of the entire architecture with you. Conclusion The bottom line is that you should refrain from hiring an artificial intelligence partner straightaway. Instead, assess their capabilities to ensure that the company can help you attain your business goals.

More Related