Data-Core Systems Auto-ML Platform

Machine Learning is an application of artificial intelligence (AI) which provides the ability to produce desired results through adaptive learning and continuous improvement process from experience.

In recent times the demand of data science, machine learning increased such a way that it outpaced the availability of highly skilled Data Scientists and handful of Machine Learning experts. For this reason the area of ML remained esoteric and highly expensive. Data analysis was completely not affordable by the businesses with small IT budgets, the SMEs, the independent professionals, the journalists, the group of social activists etc.

The increasing demand of data science is responsible for the big stride of developing the user-friendly machine learning software that can be used even by non-experts. Automated machine learning (Auto ML) came into picture to automatically find and train machine learning models where you no longer need to create the models by ML Experts — The Auto ML Algorithms will analyze your data and pick the best model for you. Auto ML also takes out the need for hyper parameter tuning and data augmentation.

There is still a fair bit of knowledge and background in data science that is required to produce high-performing machine learning models with better accuracy % but most of the cases Auto ML will suffice the industry need of predictive or perspective analysis.

 Our developers worked very hard with the help of ML experts to create a platform where everyone can access and afford ML to enjoy the benefits. Data-Core Systems, provides an Auto ML platform for businesses and individuals to develop their own ML solutions in an affordable price without the hassle and knowledge of the complexity of ML Algorithms.

Data-Core's cloud based Auto ML platform can be integrated with leading standard Auto ML providers in the Industry, currently supporting Azure, Google, H20.ai Auto MLs - helping you circumvent the technical obstacles and providing an easy and concise way to develop your own AI and ML solutions.

 Now, you must be wondering “Why Data-Core Systems?” Data-Core Systems created Build Your Own approach for the customers. 

-         This approach allows customers to control parameters, tuning, machine learning operations and model assessment through our proprietary solution. This type of Auto ML platform allows hyper personalized augmentation and even opt for ML Ops to distribute the model through web services or containers.

 -         This platform is also very user-friendly and can be operated by people with limited statistical knowledge. To build AI/ML solution in our platform does not require in depth understanding of data for data preparation and data modelling activities done inside ML studio. The process does not even need the knowledge of complex algorithms to monitor and tune ML for better accuracy.

 -         Data-Core's cloud based Auto ML platform is integrated with leading standard Auto ML providers of the Industry like - Azure, Google, H2O.ai. This will help you feed your raw data and get your own AI and ML solutions from 3 different providers as mentioned above.

 -         This will not only help you get your ML results from a single Auto ML platform but also with the comparison of data accuracy from other three leading Auto ML providers. A single effort of providing your dataset will show you the wide range of data models from Azure, Google and H2O.ai through our service platform.

-         This will enable you to select the model of your choice and compare data accuracy using different models which is ultimately helping you to reduce risk factors in prediction.

-         Even the customers can get rid of the tedious tasks like testing different ML approaches on the same data set to evaluate model performance.

 -         Next, we are providing the poll-of-polls facility, where you will also be provided with an aggregate score inferred from the experiments on each ML procedures.

Essentially to get the same benefit from the leading Auto ML providers like Google, Azure and H2O.ai will incur the following steps –

·        Reach out to the companies (Google, Azure and H2O.ai)

·        Explain your requirements

·        Invest certain amount, negotiate etc.

·        Collect the results

·        Compare manually

·        Calculate the aggregate and

·        Conclude

Too much of hassle! Isn’t it??

Our dashboard will provide you the same results in one click with a very minimal cost.

We figured out the whole idea from our project experience with one of our customers who provided us the opportunity to work on Machine Learning on their data. When we provided the end results to them, they were not satisfied with output score and questioned on the credibility of the output. They were confident on the high precision and high recall results from their data but our result was not close to that. They hired another vendor and cross-checked our output score with the output results from that vendor.

 When the output results were same from both the vendors, then our customer realized that their data had some issues, right during ingestion and our model was predicting as expected. This is how we gained back confidence but the customer wasted a lot of money because of the incident.

 Just select our solution and experience the difference….