Definitions:
- SaaS (Software as a Service): A software licensing and delivery model in which software is licensed on a subscription basis and is centrally hosted. SaaS applications are typically accessed by users via a web browser, and the service provider manages the underlying infrastructure, including servers, databases, and networking.
- Salesforce: A leading customer relationship management (CRM) platform that provides tools for managing sales, marketing, customer service, and analytics. Salesforce enables organisations to track customer interactions, automate business processes, and gain insights into customer data.
- Scalability: The ability of a system, network, or process to handle a growing amount of work by adding resources to the system. Scalability is a crucial aspect of cloud computing, as it allows systems to adjust to fluctuations in demand and maintain performance and reliability.
- Search Engine Optimisation (SEO): The practice of optimising websites and web pages to improve their visibility and ranking in search engine results. SEO involves techniques such as keyword research, on-page optimisation, link building, and content creation to attract organic traffic from search engines.
- Serverless Computing: A cloud computing execution model where the cloud provider dynamically manages the allocation of machine resources, and customers pay for the compute time they consume. Serverless computing allows developers to build and run applications and services without managing the underlying infrastructure.
- Service-Oriented Architecture (SOA): A design approach for building distributed systems where services are provided to the other components by application components, through a communication protocol over a network. SOA promotes the reuse of services and the integration of diverse systems, enabling flexible and scalable application development.
- Software Development Lifecycle (SDLC): A framework that defines the stages involved in the development of software, from initial planning to deployment and maintenance. The SDLC includes phases such as requirement gathering, design, implementation, testing, deployment, and maintenance. It helps ensure that software development is systematic, efficient, and aligned with business objectives.
- Strategy & Advisory (in AI): Consulting services that help organisations develop and implement AI strategies. These services include assessing AI readiness, defining AI goals, identifying use cases, and providing guidance on AI implementation, governance, and ethics. Strategy & advisory services are crucial for organisations looking to leverage AI to drive business value.
- Streaming Data: Data that is generated continuously by thousands of data sources, which typically send in the data records simultaneously, and in small sizes. Streaming data is processed in real-time or near real-time to provide immediate insights and actions. It is used in applications such as IoT, social media analytics, and financial trading.
- Supervised Learning: A type of machine learning in which the algorithm learns from labeled training data. In supervised learning, the algorithm is provided with input data and corresponding output labels, allowing it to learn the mapping between inputs and outputs. This approach is used for tasks such as classification and regression.
- Support Vector Machines (SVM): A set of supervised learning methods used for classification, regression, and outlier detection. SVMs work by finding the hyperplane that best separates the data into different classes. They are particularly effective for high-dimensional data and are widely used in fields such as text classification, image recognition, and bioinformatics.
- Synthetic Data: Artificially generated data that mimics the properties of real data. Synthetic data is used for training and testing machine learning models, especially when real data is scarce or sensitive. It allows for the creation of large, diverse datasets that can improve the performance and robustness of AI models.
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