How is AI bringing the evolution in industry and what is its lifecycle?

 AI enables the major parts of industries to work with ease and makes the majority of their task automated resulting in multiple times of revenue generation compared to the returns made by the company previously. As we know, AI is overtaking a big chunk of work in industries by shifting the manual labor to automating the process. One who is aware a little about AI should also know about the lifecycle of AI, to avoid lack of knowledge while trying or experimenting with AI Based Tools/ Platform for the first time. Today in this blog we will deeply understand about AI lifecycle and someno-code AI Platform help you in changing the entire game of profits in your business as well.

Lifecycle of AI

AI tools and Platforms involve some major checklists in order to provide the best results with highest accuracy to the organization. Let’s dive into these steps:

1. Understanding the Business- For an AI Platform to give maximum results, the team which has to develop/code the AI based service for the clients need to understand their business and the kind of results their clients expect from them, Clarity in above scenario will help the tools to give at least 90% of similar results expected by the clients. Understanding the trends, USP, challenges of a client’s business is really important as it can clearly help to make your client’s product stand out in the entire market.

2. Selecting the business problems which need to be resolved- For every business we know there are some hurdles and challenges which need to be sorted out before the problem becomes bigger and difficult to solve, to that easily AI can help the clients. The research team in the organization is assigned the task to know the trends and major challenges in the sector, Once the team is successful in sorting out the major and minor problems in market, then the AI comes into picture, the AI tools are designed to let the company know about the upcoming problem for the business famously known as Predictive Analytics.

3. Validation of AI Model- Once the concept is clear about the challenges or the problems which can further come into business, the next step is to write down the problems and specify the algorithms which will come in action for the AI model to perform its predictive analytics, anomaly detection, text analytics or further required services, this process of understanding the problem and planning for the algorithms to be used in the AI tool/ platform is called validation of the model.

4. Developing the AI model- The further step after validating the model is to develop the model, which is done mainly by developers’ team, they manage to code the model with required algorithms by keeping the required product in their mind, the developing of an AI platform or tools taking quite a bit time depending on the requirement of client. Thanks to today’s advanced No-Code AI Platforms which provide you the required solution with a few clicks and that too without any knowledge about how to code

5. Deployment of model- Once the model has been developed there is a phase which is known as testing of model, the developed model is tested with testing data which helps the developer team to have a quick idea about how aggressive the AI model can deal with data and how much load the AI model can take, they check the maximum reliability of their model, once the checklist of developers team meets the desired output they pass the product and state it as compatible to use.

How FutureAnalytica’s no-code AI Platform does help clients in maximizing their returns

FutureAnalytica’s AI Platform provides clients with the next level experience of making decision through their predictive analytics, our no-code platform has the capability to provide the results with highest accuracy and 20X more quickly than any one before. Our Platform has gained the trust of clients as the platform tends to deliver results as per the promises made, more accuracy in less time. Our Platform develops the insights based on number of models created; later the platform helps you to decide the best model which can be deployed as per the requirement resulting in making the process easy for clients to select the model and saving too much of time. FutureAnalytica’s AI Platform helps to automate the work for clients resulting in saving the time of clients by not letting them repeat the task again and again, helping them too simply do it with the help of our Platform. Our Platform provides real time insights as well, these are predicted based on real time prediction and the data provided by user giving the clients and AI generated result helping them to take further step resulting in saving their time to take other major decisions.

AI services are very much diversified in today’s time; the benefits of AI and Machine Learning Model are unpredictable. Below are some major advantages of AI Models:

1. Improvement in Customer Experience- With the help of AI, it has become really easy for business to know how their customer are getting treated, what are their views on the services offered from them, how helpful in the customer support portal, this is simply done by feedback procedure, now a days there are also AI enabled Chat bots which have completely changed the experience for customers, chatbots have enabled customers to interact live with the bots which is programmed in such way to solve the problems of clients at the very moment.

2. Reducing error- AI/ML has helped business in reducing error to next level, we humans have emotional factor towards everything which most of the time tends to make wrong decision that too on wrong time, but the AI based tools are coded in a way that they have to perform the task in such a way that nothing can break the set of rules which it has to follow for a particular step resulting in less to zero error, as the tool has to perform the entire task on set of rules assigned.

3. Decision Making- The AI based platform helps the organizations to make good and fruitful decisions with higher accuracy of getting success, this all is possible due to predictive analytics because the predictive analysis help them to get the best result as it gives and solution based in the current data which is provided to it following the trend also it keeps the challenges in mind to avoid the chances of error and give the required result with less to no error.

4. Cloud Based AI Platforms- With the help of Today’s technology the AI has gone to next level, where the clients used to store their tons of data physically in a data warehouse, now a day for using a AI tools or platform we do not even require a heavy setup all thanks to cloud based AI Platform, making it easier for clients to receive the services without spending too much money for storing the data.

Conclusion

In the upcoming years, AI and ML tools are bound to capture majority of stake in automation sector of business, as these AI, ML tools are very powerful resources for the new-gen business to scale their profits and reach maximum extent of success with help of AI/ML tools and platforms. We at FutureAnalytica provide world’s first end to end No-Code AI Based Platform which simply has one agenda to solve the problems of business in today’s date, the no-code AI Platform provided by us will help users with no knowledge of coding to use the Platform with ease and get the maximum potential out of it. For any queries related to our platform or to schedule a demo with us, mail at info@futureanalytica.com . Also visit our website www.futureanalytica.com .