Use case of epic; it’s foundation of uniqueness

As explained in the white paper made available to the public epik protocol is made for the people and hence the knowledge graph of epik protocol. Before I go further I will digress a little into what epik protocol is and what the project truly represents;

What is Epik protocol;
Epik protocol is a blockchain project that niches in the creation of independent and well advanced AI using several combinations of tools. Well committed in building a decentralized knowledge graph using blockchain technology with trustable storage,governance,incentives,and financial capabilities on this platform00 every has a fair share of rewards when the contribute and above all at epik protocol preserving human knowledge at an affordable rate permanently.

Knowledge graph ;
Those are inputs gotten from sets of written computer Algorithms which is meant to solve and make easy a particular problem and in this case as concerned Epik protocol knowledge is or are set of computer programs or code written to function as AI tools to solve well numerous isssues which ultimately is the reason for this blog post to highlight and bring to public knowledge the use cases or use scenarios of epik protocol’s knowledge graph.
There are 8 use cases which summarizes every other use case into them and this are;

KG for healthcare;
prior to this era of internet keeping informations apiece was a big deal due to the system of storage and sorting of information as at then that caused a big issue then came another era the era of internet and then also came weimprovements though with limitations as a patient from Another hospital cannot have his previous record readily available in a new hospital excel it is sent via fax,mail etc which makes it centralized but AI has changed the face of it and epik protocol has championed that by creating both for patients and practitioners applications that is secure and completely decentralized . Amongst this are

1. smart medical guidance services
2. Intelligent medical Auxiliary Diagnosis
3. Question Answering System (QA)

KG for Education;
kG has and his contributing immensely to the development and growth of the education sector by combining with machine learning algorithms to create and run applications and software which makes learning easier and more accessible to all and in doing so the quality and accessibility of educational materials and institutions has been greatly improved. A few of such ways are highlighted below;
1. Ontology models extracted from modules
2. Customized learning pathways for individual students
3. Continuous, real time actionable data that furnishes examination feedback embedded with students performance graphs
4. Fragmented multi-source heterogeneous data processing.

KG for Governance ;
KGs aggregate isolated data scattered in various government departments and various fields of production and life to realize the exchange of multi-source data, so as to conduct in-depth storage of governmental affairs data and social data. There are needs for huge stock governance and refined development in modern cities. As the data sources of urban public management expand from governmental data to traffic, video, environment, other urban operational perception data and corporate data,

KGs facilitate governance by delivering
intelligent applications. Applications mostly seen are:

1. Smart urban utilization applications such as risk alert, holographic archives, data retrieval, funnel analysis,

comparative judgement, group portraits and self-service reports to empower the city’s Intelligent Public Manage-

ment System.

2. Data asset management platform including metadata unified view, data quality control and traceability, knowl-

edge fusion via extracting entity, time, relationship and attributes, constructing knowledge base that understands

the needs of different parties.

3. Through multi-tenant technology and data security technology, constructing Smart Emergency System, Smart

Regulatory System and Medical Brain via Distributed Computing and Decentralized Storage, which maximizes the

efficacy of data factors, before obtaining the precise supply of government services, scientific governmental decision making and governing standards.
KG for public security;
KG technology plays an important role in solving the problems of data correlation and data value

storage, empowering Intelligent Clue Analysis and Case Early Warning. With the advent of cross-departmental collaboration and integration, the knowledge graph extracts entities such as people, things,

places, institutions, and virtual identities through data analysis, text semantic analysis, and other methods.

Attributes, time and space, semantics, characteristics, location connections, etc. are interconnected to build a multi-dimensional, multi-layered network of relationships between entities and entities, entities and events. KGs promote the evolution of public security intelligence research and judgment,

efficiently assists the public security’s prevention and control, thereby achieve accurate crime prediction and early warning in the future, which unlocks the true value of big data. Applications mostly seen

are:

1. Distributed Storage, Association Analysis, and Semantic Reference are applied on knowledge extraction, ontology layer construction and combat application development.

2. Summarize and Visualize the expertise accumulated in the public security department, the KGs convert them with

technical algorithms to integrate crime and prediction models, which realizes key personnel location correlation 00000analysis, material correlation analysis, gang relationship analysis, abnormal event storage, similar case inference.
KG for general manufacturing;
this industry is characterized by large dataset and complex knowledge structure, and tremendous event knowledge and quantitative knowledge also exist. But with the advent of knowledge graph the problem gradually is becoming history and epik protocol has taken it upon itself yet again to champion and create beautiful and effective solutions just like the one I will list:
·It integrates the knowledge content of environment, incineration, water supplies, molds, energy management and other related industries, thus better manages the internal connections of the manufacturing system through rapid query and relational inference of trends, anomalies and commonalities, further transforms knowledge into
decision-making.
·Research trends of benchmarking products for R&D department, providing decision-making
support for new product market positioning.

·Dynamically manage productional floor knowledge for manufacturing, providing real-time, on-site guidance for production users.

·Structural management of senior technicians experience, providing diversified search methods for users, to improve worker proficiency and reduce maintenance costs.
KG for Risk Control and Management;
most firm are concerned about risk control and management and hence the traditional methods has and is going extinct and gradually being replaced by strong algorithms and computer codes and yet again yours epik protocol stepped in a delivered edge cutting solution I have a list of those below;
·Internal Audit and Control Application, data storage on the supervised personnel’s account to prevent internal and external collusion and other violations.

·Anti-Money Laundering Applications and Potential Risk Prediction for Industry and Customer.
KG for smart investment advisor;
I will quote the epik protocol white paper on this one for easy understanding "Data collection and integration in the financial sector is a pain point in the investment research field.

Traditional investment research analysts need to collect information through multiple channels,

integrate and model scattered data on personal experience, which consumes a lot of time and labor.

Given that financial data has thecharacteristics of extremely high timeliness, and the high turnover

rate of the industry, the consistency of the report is hard to be guaranteed. As a result, The KG products solves the needs of various sources by greatly reducing the costs of data collection and thus improves the efficiency of investment research. Applications mostly seen are:

·The KG technology integrates NLP technology to automatically capture key information, including structured

non-real-time data: Wind, industrial and commercial data, industry chain data; unstructured non-real-time data:

corporate announcements, financial reports; structured real-time data: stock commodities quotes; and unstruc-

tured real-time data: financial news, social media.

·KGs abstract the development and changes of various industries into the digital level, providing underlying
infrastructure for knowledge query and application development.

·In addition to the static domain graph, KGs also build an event graph based on time series analysis to capture
network reports and news events.

·The two combined derives the development context and trend of events from the inherent logic of the industry and real-time information, sorting out the context and providing data support for subsequent research and judgment applications, thereby undercovers more investment opportunities.if you had painstakingly gone through this post you will understand and appreciate the beauty and completeness epik protocol has brought and is still bringing to the. blockchain and I am sure you will either job on this wagon either as a partner or a contributor.