Artificial Intelligence (AI) has moved from the field of data scientists and researchers to entrepreneurs and consumers. This has created great opportunities for companies that provide or are looking to provide AI-related services and those who consume it, whether it's other businesses or companies that are not. ;people.
Why jump on the AI bandwagon? According to many testimonials, technology is expected to improve global GDP by billions of dollars. According to PricewaterhouseCoopers, AI could contribute $ 15.7 trillion to the global economy and boost local economies up to 26% by 2030. In its report, PwC also ranked 300 cases in the world. The use of AI for this technology in virtually all industries.
This optimism is motivated by what the AI is capable of doing, namely improving productivity and automating tasks and roles. With new levels of efficiency, businesses can introduce more variety, customization and affordability, which, according to PwC, will meet consumer demand. So how are you from here to here?
As a Professional Consumer
As a business, you must assume that your competition already has some form of AI as part of its operation, and that it is operational. The question is, do you want a turnkey solution or build a custom platform? The choice you make will depend on your needs and your budget.
Fortunately, the market now has service providers with turnkey solutions designed to integrate with existing applications already used for business functions. Whether it's customer relationship management, digital commerce, operations, productivity or security, you have options.
If you have the team to build on machine-as-a-service (MLaaS) platforms like Microsoft, you can use these services to optimize the data you have in their ecosystem. This approach offers the best of both worlds because it will not cost as much as custom solutions, but you will be able to adapt certain features to meet your specific needs. Again, it makes sense if you have the talent in-house or if you can afford to build on the MLaaS platform with an external hire staff.
Even if you are a small business, your needs may go beyond turnkey solutions. This will require securing the services of an AI development company. The process is complex, time consuming and expensive. It will be necessary for the AI firm to identify your business challenges, review your entire organization and review your technology, workflow and more. He then builds a customized AI solution to optimize your business at all levels.
As a service provider
Artificial intelligence applications may include cognitive calculus, machine and in-depth learning, predictive APIs, natural language processing, image recognition and speech recognition , And much more. As a service provider, you can choose to add these features to optimize the current range of services you offer in the cloud and data storage for the health, finance, manufacturing, and manufacturing sectors. others
With the right partnership, you can integrate AI services into your products. Microsoft is helping its partners integrate advanced AI features by providing them with resources to develop AI strategies, learn new skills and market new services.
Providing AI-enabled solutions is a must for service providers now and in the future. According to International Data Corporation (IDC), 75% of developer teams will include cognitive and AI features in one or more applications in 2018. And it predicts that 40% of all digital transformation initiatives and 100% of all IoT efforts will be supported by cognitive / AI capabilities.
Choosing the Right Company
Whichever option you select, it is important to clearly identify the problems that the AI must solve. The number of providers increases for all segments, which is why due diligence is the key to ensuring you get the right fit.
When a new technology gets the same success as the AI, it can be very difficult to know what is real because the providers embellish the services that they can provide. For this reason, Gartner recommends asking the following questions when verifying suppliers:
- What method of IA is proposed for the solution?
- How robust or fragile will the implementation be in terms of the resources needed to deploy and manage it?
- How much training data is needed to "prime" the solution, and how often will it need to be recycled?
Another point to remember is that it's not because a company claims its solution that the AI does not mean. According to Gartner, the company could use conventional automatic learning (ML) solutions rather than new technologies such as in-depth learning.
Writing on Y Combinator's blog, entrepreneur Ivan Novikov recommends five other issues that small business owners should ask potential sellers.
- Can the company give you an autonomous demo?
- Can you use your own data?
- What are their sources and data sizes?
- What are the details of their algorithm?
- Do they have reference clients that you could question?
Gartner points out that the process should be thorough because introducing an AI solution as part of your organization will entail certain risks, complexities and costs.
But if properly implemented, small businesses can reap huge profits from the use of AI to gain a competitive advantage in a rapidly changing market. To learn more about providing cloud solutions, including AI, contact Meylah.
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