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BLOCKCHAIN#1
A decentralized digital ledger technology that securely records transactions across multiple computers.
ARTIFICIAL INTELLIGENCE (AI)#2
The simulation of human intelligence processes by machines, particularly computer systems, for tasks like learning and problem-solving.
INTEGRATION#3
The process of combining blockchain and AI technologies to create cohesive solutions for industry challenges.
PROTOTYPE#4
An early model of a product used to test concepts and functionalities before full-scale production.
ETHICS#5
A set of moral principles guiding the responsible development and use of technology, particularly in AI and blockchain.
DECENTRALIZATION#6
The distribution of authority and decision-making away from a central authority, enhancing security and transparency.
SMART CONTRACTS#7
Self-executing contracts with the terms directly written into code, facilitating automated transactions on blockchain.
DATA SECURITY#8
Protecting data against unauthorized access and breaches, crucial in both blockchain and AI systems.
REGULATORY COMPLIANCE#9
Adhering to laws and regulations governing technology use, especially relevant in AI and blockchain applications.
INTERDISCIPLINARY COLLABORATION#10
Working across various fields to leverage diverse expertise in developing integrated solutions.
MACHINE LEARNING#11
A subset of AI focusing on algorithms that enable computers to learn from and make predictions based on data.
USE CASE#12
A specific situation in which a product or service could potentially be used to solve a problem.
BLOCKCHAIN PLATFORM#13
A software framework that facilitates the creation and management of blockchain applications.
SCALABILITY#14
The capability of a system to handle a growing amount of work or its potential to accommodate growth.
FUNCTIONAL TESTING#15
Testing to ensure that software operates according to defined specifications.
USER FEEDBACK#16
Insights and evaluations provided by users about their experience with a product or solution.
IMPACT ASSESSMENT#17
The process of evaluating the potential effects of a project or technology on stakeholders and society.
AGILE METHODOLOGY#18
An iterative approach to project management and software development that promotes flexibility and customer satisfaction.
DATA FLOW#19
The movement of data within a system, particularly between AI and blockchain components.
VALIDATION#20
The process of confirming that a product meets the requirements and functions as intended.
PRESENTATION SKILLS#21
The ability to effectively convey information and engage an audience during a presentation.
CASE STUDY#22
An in-depth analysis of a particular instance or example, often used to illustrate practical applications.
TECHNICAL ARCHITECTURE#23
The design and structure of a technology solution, detailing how components interact and function together.
ETHICAL DILEMMAS#24
Complex situations in which moral principles conflict, particularly relevant in AI and blockchain contexts.
INNOVATION#25
The process of translating an idea or invention into a good or service that creates value.
TANGIBLE OUTCOMES#26
Concrete results or products that arise from a project, demonstrating its effectiveness and application.