DataOps
Data Engineering
We create meaningful business data that shows a varieties of insights through different slices & dices. We create new fresh data set according to business requirements as per industry or industry standard. We refine existing data. Created or refined data is used in various purposes, it is used as input to machine learning or machine or human in day to day decision makings… More Detail
We are reinventing ourself to a better version, stay tuned!
Data Science
It is well known that Data Science is the logical combination of mathematics, statistics, information science, and computer science. Mathematics and statistics are at very core in base while machine learning is extensively used. We utilize different standard platforms (IBM Watson, Azure Machine Learning, Amazon Machine Learning, and Google Cloud Machine Learning) to implement machine learning. We utilize open source library as well. We utilize Natural Language Processing and Ontology wherever required. We use Python and Java programming languages (Wherever applicable) to develop the applications… More Detail
We are reinventing ourself to a better version, stay tuned!
Data Visualization
Data visulization is graphic representation of data in charts and dashboards. Data visualization is to communicate information clearly and effectively through graphical means. It is the mapping of data values to point in the multi-dimension spaces. Data visualization is a part of descriptive statistics. Represented data is transformed to categorical and quantitative forms. The concepts, Time-series, Ranking, Part-to-whole, Deviation, Frequency distribution, Correlation, Nominal comparison, and Geographic or geospatial are measured. Length, Shape, Orientation, and Color (hue) are used to visualize perceptive information to human. Transformed data is plotted in suitable dimensions considering the most holistic views and variations of Length, Shape, Orientation, and Color (hue)… More Detail
We are reinventing ourself to a better version, stay tuned!
Data Protection
Though hacking of any kind is always costly. We already have existing anti-hacking methodologies for Network, Internet, & OS hacking, Phishing, Steganography, Social Engineering Attack, DOS Attack, Fake Emails, Session Hijacking, and SQL Injection. But evolution of AI created new challenges. Centroid of AI is the machine learning. Machine is trained on data set. Just think and consider you data set is hacked. Even a single bit will train machine in unexpected output. Machine learning is used to detect and track possible incoming threats. If machine is itself corrupt then nothing can be said. We cover predictive cyber security based on machine learning algorithms and data science. Though we use traditional cyber security methodologies to collect data for SIEM (Security Information and Event Management), VPN, Proxy, Flow, Endpoint, and LDAP. We include UEBA(User and Entity Behavior Analytics) to analyse about Registration, Logins, Transactions, and Logouts. Our overall analysis covers Corporate Data, Financial Data, Customer Data, and Personally Identifiable Data… More Detail
We are reinventing ourself to a better version, stay tuned!
You can please schedule meeting for knowing in the detail about any individual platform and service or can ask for presentation at the contact details.