Artificial intelligence is a powerful technology that can be used for solving more than one problem of organizations. By automating some of the departments of your business, you can take your organizational efficiency to the next level. For IT processes, sales and marketing, it is already doing a great job. Moreover, you can implement AI in other departments, such as supply chain, risk management, customer experience, and talent efficacy. For that, you need to partner with a leading AI development company that can take care of your business objectives.
Implementing AI in various industries of some of the Asian countries is a big challenge. A lack of capable AI solution providers can implement AI technology in different business processes and train client’s employees for day-to-day business operations. Apart from that, the lack of AI and ML engineers is the final nail in the coffin. You should research the leading AI development company well before you collaborate with them to avail of AI services for all these reasons. Because most of the time, companies seeking AI solutions are worried about the return on investment from AI technologies, which is a valid concern. The cost-prohibitive nature and vendor lock-in that comes with AI technology could discourage you from implementing AI in your business operations.
What should you keep in mind before tieing up with an AI solution provider?
1 – Vertical or cross-domain solution
Nowadays, startups and boutique vendors offer vertical solutions, while giant tech companies like SAS, Microsoft, AWS, Intel, HPE, and Wipro offer cross-domain solutions. Since many companies don’t want to deal with many vendors, they choose to work with big tech enterprises. But, at the same time, others, in an attempt to avoid vendor lock-in, decide to collaborate with startups. So, the fact of the matter is that if you choose your vendor wisely, it will help your organization avoid huge expenses and reap maximum benefits. By the way, believing your intuition and experience before reaching a decision is an excellent way to determine whether you should opt for industry-specific enterprise AI solutions or go for a generic one.
2 – Cost of solution
People who have realized the actual potential of AI know well how it could bring real benefits to business organizations. But many high-ranking senior executives of different companies are still concerned about the high cost of the solution. For this very reason, many prefer to avail of AI services from startups rather than big tech companies. And not to forget the advantage of working with startups as they save you from cost-prohibition and vendor lock-in that usually comes with big packages of big tech companies.
3 – Alignment with business goals
This is one of the most critical considerations that tech buyers should look for. Before you hire a leading AI development company, identify the proper use cases in your business to avoid the risk of failure. It’s better to start the AI implementation journey from small-scale projects and then move to bigger ones after checking the previous results. If you don’t have key metrics in place to determine the outcomes produced by AI implementation, the top management must create one first. Also, be sure about your expectations in business growth before applying the AI and ML technologies.
One important thing you must not get off your mind is to create a framework for data collection before AI implementation. In addition, make sure that you also have considered AI technologies’ governance and regulatory implications before implementation.
4 – A powerful AI advisory
Being a tech buyer, you may also need someone to guide you through the process of business operations during and after AI implementation, right? In that case, you should look for a powerful AI advisory that can guide you through every deployment. But, that’s not all; you may also need some ML professionals or data scientists to manage your day-to-day business operations. For that, it is imperative to ensure that your prospective AI solution provider trains your staff to do these activities as there is a shortage of ML professionals and data scientists around currently.
A quick wrap up
An AI service provider should bring together data engineering, advanced analytics, AI hardware, and complete expertise to help you make informed decisions for business functionalities. So, it’s mandatory to check out their work portfolio before you consider them for your projects. Make sure to go through industries they have worked for, departments they have implemented AI in, and the kind of results they generated. This will give you an overall idea of the expertise they possess and the ability to improve your organizational efficiency. Then, once you are happy with the statistics, go forward and collaborate with the best AI solution company.
