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    Robotic Process Automation

    Robotic process automation is the process of giving access to employee of company to make computer software capture and interpret existing applications for processing a transaction, manipulating data and communicating with other digital systems.

    Predictive Analytics

    Efficient AI based trading methodology which constantly adapt to any change in financial markets. Model can make a decision based all the information and changes.

    Algorithmic Trading Strategies

    Efficient AI based trading methodology which constantly adapt to any change in financial markets. Model can make a decision based all the information and changes.

    Optical Character Recognition

    Process of transformation of handwritten or printed characters into machine -encoded text. It can identify text from documents or photos. Moreover, extract data from receipts and recognizing vehicle license number are part of optical character recognition process.

    Natural Language Processing

    Natural language processing is a form of artificial intelligence which enables computers the ability to read, understand and interpret human language.

    • Spell checker
    • Autocomplete
    • Spam filters
    • Voice text messaging

    Data Preprocessing

    Data Preprocessing is an activity where data gets encoded or changed to make machine easier to understand the information. In other word, Encoded data can be easily interpreted by the algorithm.

    Data Management

    Data management is an activity which includes acquiring, storing, protecting, and processing required data to guarantee the accessibility, reliability, and timeliness of the data for its users.

    Data Transformation

    Data transformation is the process of changing data from one format or arrangement to another one. Data transformation is important for activities such as data integration and data management.  There are different categories of activities in the Data transformation process. Removing nulls or duplicate data, converting data types and other activities depending on your project. Advantages of data transformation are shown below:

    • Data is transformed to make it better-organized.
    • Properly organized and approved information improves the data quality and shields applications from potential dangers such as null values, unexpected duplicates, and incompatible formats.

    Data Visualization

    Data visualization is the process of putting information into a diagram ,chart and other visual format which will help to be informed about analysis. Some of data visual formats are shown below:

    • Frequency tables
    • Heat maps
    • Pie chart
    • Line graphs
    • Bar charts
    • Line graphs
    • Scatter graphs.

    Data Analysis

    Data Analysis is the process of applying some techniques to differentiate, evaluate, structure and find other relationship between the collected data

    Anomaly Detection

    Building models which persistently screen data and search for items events or observations whose attributes don’t conform to expected patterns. Such anomalies happen rarely but can lead to have bad consequences. Examples can be finding fraudulent transactions, machinery failings etc.

    Computer Vision Services

    Computer Vision is the technique to get significant information from pictures of the product. This innovation can be used to scan the logo of the brands, detect name of books on shelf etc. This technology works on both images and video in order to get their significant data.

    Creating API's

    An API (Application Programming Interface) is a bunch of functions which permits applications to get an access on information and interact with external software components, operating systems. Simply, this service allows engineer to send or get data

    Data Cleaning

    Data cleaning is process of removing or editing the some part of data which are incorrect, duplicated, incompleted or improperly formatted

    Machine Learning Model

    An machine learning model is a file that has been prepared to recognize certain kinds of patterns. You train a model over a bunch of information, giving it a algorithm which it can use to understand and learn from those data.

    Cognitive Analytics

    Customer Analytics Services can help companies to target customers using specific product service recommendations, predict customer behavior using predictive modeling.

    Anomaly detection

    Building models that persistently screen data and search for items events or observations whose attributes don’t conform to expected patterns. Such anomalies happen rarely but can lead to having bad consequences. Examples can be found fraudulent transactions, machinery failings, etc.