"The US has the earliest adoption of AI, with 38% of companies already using it, ahead of 11% in Asia and 9% in Western Europe. Of that 38% in the US, 77% of organizations said the technology is exceeding their expectations or they're already seeing returns on its use."
– IDC and DataRobot
So, what’s stopping you? Is it the availability of the right data, lack of computing power, the absence of a business case or something completely out of this world?
With the growing market of AI, the cost of computing power is decreasing and businesses are generating and getting easier access to lots of data. If you think that your business can benefit from any of the following;
Then, artificial intelligence is a solution you must implement as soon as possible.
Are you still not convinced and are worried about the methods and skills required to implement AI into your business practices?
Leave your worries behind and join our AI and ML experts who will take you through each step of a successful AI implementation with numerous examples and a demo.
This webinar will also talk about the benefits of early AI adoption, and discuss a few business scenarios where AI can be used.
The following are the answers to the questions that were asked during the live webinar.
Answer 1: No, you do not need to make any heavy investments. There are several companies offering AI-as-a-service, thereby allowing you to use AI without any setup, infrastructure or any large investments. You can subscribe to these services, which have a pay-as-you-go model.
Answer 2: I would suggest rather than thinking about whether you have enough data or not, you should focus on the possibilities with your existing data. The first step would be to identify data sources, no matter how trivial they seem. This will give you a basis for the next step where you can consult an expert who can help you in assessing whether your business needs more data. They can even suggest some ways to collect the right sets of data.
Answer 3: You do not need to have extensive experience in AI before implementing it. A little knowledge would surely help, but you need the right partner who can help you in this process. Moreover, many bigger players have created some remarkable AI solutions, which work as the right foundation for enterprises to begin their AI journey. You can also refer to our AI-as-a-service offering for more information.
Answer 4: There are many myths surrounding AI, like it would take away employee jobs or be more important than them and so on. This can make employees nervous, but through proper knowledge and guidance, you can bust these myths and make your employees ready to accept AI. The focus should be on what problems AI can solve, rather than replacing humans. You need to assure them about your end goal, which is the betterment of your business.
Answer 5: This is a good question. Many AI projects fail, and you obviously do not want that. But, most of the AI projects fail because of not having a clear purpose, jumping in without preparation, setting high expectations, or not having the right data. Therefore, it is important to take help from experts and reduce the risk. They can also help you to set realistic expectations and measure the results efficiently. You also need a sound AI strategy which ensures that your AI implementation is successful.
Answer 6: Without a doubt, small pilot programs are a better choice. It is always good to take small, incremental steps instead of a giant leap while implementing AI or in fact any other new technology. A small AI pilot project that delivers quickly helps to boost morale and provide secure internal buy-in for future programs.
Answer 7: Some of the popular tools for implementing AI include Amazon Web Services, Deeplearning4j, Microsoft Azure, Nvidia Deep Learning AI, IBM Watson, Python, Tensorflow, Keras, and OpenNN among others. You can consult our AI experts to identify the right AI tools and platforms that suit your business needs and budget.