NAllianceTech helps build intelligent connected devices and software solutions that enable the Internet of Things (IoT) and Machine-to-Machine (M2M) services. These connected smart devices are embedded with sensors and actuators, which have a unique identity or IP address, and are able to interoperate with the existing Internet infrastructure.
NAllianceTech’ IoT devices are designed to optimize infrastructure and streamline processes. They enable organizations to build an integrated system to monitor, detect, connect, and control diverse devices and, as a result, standardize critical functions. These IoT solutions improve risk management and reduce costs.
NAllianceTech IoT services & solutions enable ecosystems to be smarter and control inanimate surroundings with the fingertips, anytime anywhere. The data that gets collected due to the transactions gets securely stored in the cloud and can be analysed, as and when required, and the agility and responsiveness of the IoT services & solutions can be streamlined further.
NAllianceTech M2M solutions ensure fulfillment without the explicit involvement of humans based on predefined logic and sensor signals. The solutions allow agile, auto-monitoring of mammoth machines, applications, and sprawling ecosystems with only need-based intervention of supervisors.
ADVANTAGES OF OUR IOT
Device domain knowledge in automotive, consumer, industrial, retail, healthcare, transport and peripheral banking
Expertise in smart device solutions including PoS, ATM, ticket vending machines, fare collection systems, handheld validators, M2M solutions and services
Experience in board support package (BSP) and driver development
Open source platforms for RoI-driven solutions
Scalable and reliable solutions powered by open source software
Open source powered solution development across a cloud-based distributed ecosystem
Leverage M2M technology and distributed IoT platform to build smart and sophisticated Internet of Things (IoT) applications and state of the art remote management solutions for smart ecosystems
IoT SERVICE OFFERINGS
NAllianceTech helps in development of devices such as IoT gateways, sensors, actuators, connectivity hubs & modules along with its partners. These devices are instrumental in building the different layers of a full-fledged, integrated IoT solution across distributed ecosystems.
IoT Platform Enablement And Application Development
NAllianceTech has an established partner ecosystem comprising premier IoT and M2M service enablement platform companies. The company maximizes customer value through Internet of Things Consulting for different IoT solutions as well as services and offers guidance through the IoT enablement process from identifying the platform to application enablement.
Artificial Intelligence solutions enable the automation of medium to complex processes and take Robotic Process Automation to the next level. It powers predictive maintenance of heavy machines thus reducing operational costs. AI enables pattern identification with vast data volumes thus augmenting human intelligence and decision making. It improves the analytics domain to the nth extent. While Natural Language Programing (NLP) algorithms read and augmedata nt to produce analytical reports, Natural Language Generation (NLG) algorithms write sentences.
AI joins the dots from disparate data sources and discovers interesting patterns that are less visible to the human eye and intellect. Consistent variations, clustering of data points, dependencies, etc., bring forth interesting stories from the stagnant data resources. Using data, AI-enabled information mining generates hypotheses, verifies them, and deduces information. Information Mining forms the basis of Predictive Analytics and Machine Learning.
AI-powered Data Mining enables users to perform different levels of tasks –
Anomaly detection, where unusual patterns or outliers are thrown up, which may be errors or require deeper investigation
Associations, where the relationship between two or more variables are brought forth, and is frequently used in forensic investigations
Clustering, where data points that are similar in more than one ways are discovered
Classification, where known structures are generalized in order to apply to new data points; for example: Records or File Classification
Regression, where a function is found, which models the data and estimates the relationship between different data points
Summarization, where a concise summary is generated based on weighted keywords. It is popularly used for generating audit reports and executive summaries.
AI simplifies Document Management to a great extent. It enables automatic file classification or categorization as well as summarization. The files may include spreadsheets, documents, emails, PDFs, video files, audio files, social media, news, and other data types.
AI algorithms generate intelligence from high data volumes by correlating disparate data points. This data may comprise structured, unstructured, and multi-structured data.
A recent feature is AI-enabled Topic Modelling. It allows screening of huge data sets, such as reviews, emails, social media snippets, etc., and segregating them as per the predominant sentiment.
AI algorithms use weighted keywords and correlate them to generate concise summaries of lengthy documents, news articles, research papers, agreements, books, tweets, etc.
It uses two methods – Extractive and Abstractive. Extractive Summarization extracts several portions of the text and stacks them to create a summary. Abstractive Summarization uses NLP algorithms and generates a new summary.
AI-powered document summarization is used in audits, research study scenarios, social media listening, government services, etc.
How AI Is Transforming The Way Enterprises Use RPA