AI/IOT
Data Analysis Process
Comprehensive Data Analysis is a foundation to intelligent reporting and predictive analytics. At Digitalstates we have experienced Data Scientists who have mastered the field of data analytics and can accurately analyze the data lakes, find patterns and model the data in a way that makes a solid foundation for decision making and analysis. .
- Data Collection
- Data Processing and Cleansing
- Data Analysis
Data Collection
First and very important phase of Data Analytics process is data collection. Data is collected from all sources like databases, web pages, social media and internal archives
Data Processing and Cleansing
Data from various un-structured sources is structured and cleaned so that it gets ready for Analysis. Various tools are used to model the data for Data Analytics Engine
Data Analysis
Once the data is ready to be analyzed, our experts use various tools and techniques to understand, interpret and draw conclusions based on the requirement. We extensively use data visualization technique to graphically represent and extract insights from the data
Deep Learning
Deep learning is the ideal way to provide big data predictive analytics solutions as data volume and complexity continues to grow, creating a need for increased processing power and more advanced graphics processors. With deep learning, organizations are able to harness the power of unstructured data such as images, text, and voice to deliver transformative use cases that leverage techniques like AI, image interpretation, automatic translation, natural language processing, and more. At Digitalstates, by using Deep Learning, we have developed to handle a large number of the dataset, to observe prototypes, and provide precise results. Technology Deep Learning is the subdivision of Machine Learning, but it possesses different functions and capabilities to deal with data. Our Deep Learning algorithms, belongs to the sphere of artificial intelligence. The main goal is to examine the data and the results without human intervention by the machine.
- End-to-End Workflows
- Interoperability And Detection
- Natural Language Processing
End-to-End Workflows
A single platform to handle data preparation, exploration, model training, and large-scale prediction. High level APIs and example applications let you easily leverage state of the art models. Recognize and categorize images for easy sorting and more accurate search.
Interoperability And Detection
Collaborate with your team across multiple programming languages to explore data and train deep learning models against real time data sets. Fast object detection to make autonomous cars and face recognition a reality.
Natural Language Processing
At Digitalstates, our experts are capable of suggesting price-effective Deep Learning solutions and reliable for the core. With our professional Native Language experience and Artificial intelligence technology, we are ready to provide a productive user experience, data and service solutions that help to be more engaged in the project formation.
Predictive Analytics
Effective utilization of big data and predictive analytics has become vital in today's data-centric world for businesses to achieve their goals. We at Digitalstates, have applies a range of machine learning techniques to classify and comprehend patterns in historical data and utilize these to make future predictions. Predictive analytics applications provide product and training services that can be used for swindle detection, business predicting, customer behavior forecasting, analysis of life sciences data and credit risk valuation. Government bodies, research, and academic institutions and commercial businesses can use predictive analytics applications to make more informed and appropriate decisions that incorporate historical evidence.
- Automated Analytics
- Model Management
- Predictive Scoring
- Application of Predictive Analytics in enhanced Industries & Sectors
Automated Analytics
Digitalstates expert business analysts and data scientists build refined predictive analytics using automation. These can be embedded in business processes in no time.
Model Management
Digitalstates offer end-to-end predictive analytics management, whereby regular updates are provided for better performance.
Predictive Scoring
Provide predictive models for different frameworks to fragmentize variables, analyze them and facilitate predictive scoring in real-time.
Application of Predictive Analytics in enhanced Industries & Sectors
Digitalstates, with its robust and smart Predictive Analytics can be applied in various sectors like retail, banking, insurance, telecommunications, healthcare, pharmaceuticals, amongst many others. For healthcare service providers, it can capably identify the risk of developing health conditions in patients. Financial service providers can identify discrepancies in transactions and thefts. While manufacturing and retail firms can keep track of customer behavior and improve their offerings accordingly.
IOT Platform
Digitalstates is specialized in implementation of Internet of Things end-to-end solutions. A key component of our IoT offering is the IoT Platform that set up and manage connected devices and provides predictive real-time and edge analysis of user, machine and environmental data that leverages machine learning and artificial intelligence technologies.
- Plan
- Design
- Deploy
- Test
Plan
Planning is a key phase to define the desired use case, setting business goals and definition of business transformation journey. Our IoT Solution Architects spend considerarble time in the planning phase to ensure all requirements are accurately captured.
Design
A thorough network design and specifications are created to cover the schematic of the network, the choice of components, their locations and measurement of performance and anticipated security issues.
Deploy
Installation phase includes deployment of IoT components, hardware, configuration of Wi-Fi or cellular networks, gateways, web interfaces, security and data privacy configurations and apps.
Test
Testing phase includes evaluation of technical and business goals to be achieved. A comprehensive test plan is executed and results are handed over for future reference.
IoT Device Management
At Digitalstates, we realize that a reliable and effective device management solution is critical part of any IoT project in keeping the smart assets connected, up-to-date and secure. Our clients utilize our IoT device management professional services in setting up the processes involving the provisioning and authenticating, configuring, maintaining, monitoring and diagnosing connected devices operating as part of an IoT environment to provide and support the whole spectrum of their functional capabilities.
- Onboarding
- Configuration
- Maintenance
- Diagnostics
- End of life Management
Onboarding
Provisioning and establishing a secure connection between the device and an IoT service or IoT platform.
Configuration
Reconfiguration of the provisioned devices beyond their default settings.
Maintenance
Setting up advanced mechanisms for firmware updates, so that every device in the field is kept secure, up-to-date and bug-free.
Diagnostics
Diagnostics is not only about monitoring network statistics to detect any security breaches; first of all, it’s about preventing failures from happening or counteracting them before they become harmful.
End of life Management
Decommissioning efforts will be properly orchestrated to avoid data leaks, system downtimes and situations of bad agents gaining access to the devices due to a system compromise.
Use Cases
IoT use cases areas are developed end-to-end applications where IoT is and can be deployed in different industries and business situations such as manufacturing operations, precision farming, smart lighting, smart buildings and so forth. They represent a developed understanding of IoT applications, a good mix of common business sense, sound advice, and lessons from success stories. IoT Use cases are tangible representation instead of just a term and set of technologies.
- Energy & Utilities
- Manufacturing
- Logistics
- Health Care
- Retail
Energy & Utilities
- Smart Metering
- Smart Grid
- Oil & Gas Industry
Manufacturing
- Quality Perception
- Quality Control
- Cost Management
Logistics
- Automotive
- Supply Chain
- Big Data Dashboards
Health Care
- Bio Data
- Location
- Predictive Analysis
Retail
- Customer Mapping
- Forecasting
- Personalization