Discover the importance of AI Governance on WNPL's glossary. Ensure ethical, transparent AI use within your organization
Learn about model deployment strategies, challenges, and best practices for AI systems on WNPL's glossary page. Ensure scalability and reliability.
Explore how Natural Language Processing enhances AI interactions. Learn NLP applications from chatbots to sentiment analysis.
Dive into our Markov Chain glossary page to understand how these models predict future states in stochastic processes
Understand what Data Fabric is. This glossary explains the details and exposes some commonly asked questions.
Explore cloud application development on WNPL's glossary page. Learn how it revolutionizes software creation with scalability and flexibility.
Discover the power of data visualization on WNPL's glossary page. See how it transforms data into actionable insights across different fields and applications.
Understand what Data Lakehouse is. This glossary explains the details and exposes some commonly asked questions.
AI-driven Innovation is reshaping industries. Discover how AI technologies foster new products, services, and business models.
Discover Data Management strategies for modern businesses on WNPL's glossary, covering governance, quality, and technology best practices
Successful AI Implementation starts with a solid Prototype. Discover the journey from initial concept to full-scale deployment.
AutoML simplifies AI model development. Discover how Automated Machine Learning accelerates AI projects and innovation.
Explore back propagation in AI on our glossary page: Learn how it refines learning through errors for better accuracy
Unpack gradient descent in WNPL's glossary: optimizing neural networks by minimizing cost functions for improved AI accuracy.
Read and understand what Backend Server is, its practical uses and commonly asked questions in Software systems
Explore the essentials of authentication in cybersecurity on WNPL's glossary page. Understand its role in protecting digital assets
Learn how Expert Systems apply human knowledge to solve complex problems on our detailed glossary page
Plan your AI journey with insights on AI Strategy and Roadmapping at WNPL. Align AI initiatives with your business goals effectively.
Learn about developing AI Prototypes at WNPL. Test and refine your AI solutions efficiently before full-scale deployment
Business Analysis is key to strategic planning. Discover how analyzing business needs leads to successful project outcomes.
What are Convolutional Neural Networks (CNNs)? This glossary exposes commonly asked questions.
Dive into real-time analytics with WNPL's glossary. Instant data analysis for agile decision-making. See its impact across industries and applications.
Dive into the world of authorization with WNPL's glossary. Learn how it secures data by defining user permissions and access
Explore the essentials of Business Intelligence on WNPL's glossary page: from BI's role in decision-making to its components and implementation.
Learn about TensorFlow, the engine behind AI's advancements, on our detailed glossary page
Discover the role of activation functions in neural networks, including types like ReLU and Sigmoid, on WNPL's glossary page. Optimize your AI models.
Understand what Data Mesh is. This glossary explains the details and exposes some commonly asked questions.
Understand what Vector database is. This glossary explains the details and exposes some commonly asked questions.
Understand what Backend Database is and read some of frequently asked questions in our glossary.
What are Recurrent Neural Networks (RNNs)? This glossary exposes commonly asked questions.
Cloud-based AI Services accelerate innovation. Discover how cloud AI provides scalable, cost-effective solutions for businesses.
Hala Point, the neuromorphic computing chip from Intel, ready to revolutionize artificial intelligence by processing information, is designed to mimic the neural structure of the human brain. Deisnged for rapid, energy-efficient computation that is particularly adept at handling complex sensory data and decision-making tasks.
Operational Efficiency is key to business success. Discover how to optimize operations for maximum efficiency and productivity.
Understand the term 'API Integration". Know about its practical applications, choices for busnesses and commonly asked questions.
Text mining's power to unlock trends and insights from unstructured data is detailed.
Explore the essentials of Machine Learning, its impact, and applications across industries. Dive into ML's transformative potential today
Explore AI Development on WNPL's glossary page: From defining AI to lifecycle and ethical considerations, unlock how AI transforms businesses.
Understand what Large Language Models (LLMs) are. Also, read related frequently asked questions
Uncover ML Consultancy essentials on WNPL's glossary: Data preparation, model selection, and scaling insights for enhancing decision-making and efficiency.
Dive into API Development with WNPL's glossary. Understand its lifecycle, tools, and security practices for robust software solutions.
Strengthen your defenses with AI in Cybersecurity. Learn how AI enhances threat detection and response for robust security.
Navigate data security essentials with WNPL's glossary. Protect digital information from threats and ensure compliance with global data protection regulations.
Unlock the potential of AI for Predictive Analytics on WNPL. Enhance decision-making with data-driven insights and forecasts
Learn about the zero trust model's approach to cybersecurity: Never trust, always verify. Details on WNPL's glossary page
Discover the critical challenge of zero day attacks and how they exploit unknown vulnerabilities. Insights available on WNPL's glossary
Learn about backpropagation from WNPL's glossary: the core algorithm for training neural networks in deep learning applications.
Explore unsupervised learning in WNPL's glossary: mastering data patterns without labeled outcomes for AI innovation.
Leverage AI for Business to drive growth, enhance decision making and improve operational efficiency
Our Big Data glossary page unravels the complexity of handling vast amounts of data in today's digital era. Learn more!
Dive into our AI Discovery Workshop glossary and FAQs to navigate AI integration, strategic insights, and practical steps for your business success.
Discover the power of Deep Learning in AI: From neural networks to real-world applications, learn how DL is shaping the future.
Understanding Data Requirements is crucial for AI success. Learn about the importance of quality data in AI project outcomes.
Explore M2M communication's role in automating and optimizing operations. Learn how Machine to Machine tech drives efficiency.
Dive into our comprehensive AI readiness glossary and FAQs to navigate the essentials of AI implementation and prepare your business for a seamless transition.
Discover essential insights on Ethical AI for business and tech leaders. Explore key concepts, challenges, and strategies for fostering trust and accountability
Learn about Data Modeling techniques and their impact on Big Data and BI processes, presented on WNPL's comprehensive glossary page
Discover LSTM in WNPL's glossary: enhancing neural networks to remember information for long periods for complex sequence tasks.
Navigate Compliance and Regulatory Considerations in business. Learn strategies for adhering to laws and ethical standards.
Data Governance is crucial for AI integrity. Learn about managing data quality, privacy, and compliance in AI projects.
The Loihi 2 processor is Intel's second-generation neuromorphic computing chip.
Uncover the role of image segmentation in enhancing product quality and customer engagement, detailed.
Dive into data mining techniques, applications, and challenges on WNPL's glossary page. Leverage your data for insightful business decisions.
Explore stream processing on WNPL's glossary page: Real-time data analysis for immediate insights. Discover technologies and applications in various industries.
What are Variational Autoencoders (VAEs)? This glossary exposes commonly asked questions.
Dive into AI Consultancy with WNPL: Identifying AI opportunities, strategic planning, and ROI measurement for business leaders and tech innovators
What is Reinforcement Learning (RL)? This glossary exposes commonly asked questions.
Digital Transformation is key to staying competitive. Discover how leveraging technology can propel your business forward
Understand what Apache Iceberg is. This glossary explains the details and exposes some commonly asked questions.
Discover BrainChip's impact on AI with its innovative processors that enhance real-time decision-making at the edge.
Learn how MemComputing transforms data center operations by significantly speeding up processing times.
Unveil the secrets of app store success with WNPL's glossary. Learn optimization strategies for better visibility and ranking.
Explore the essentials of Explainable AI (XAI) on WNPL's glossary page. Understand how XAI makes AI decisions transparent and trustworthy
Discover how sentiment analysis transforms customer feedback into actionable insights.
Understand what Data warehouse is. This glossary explains the details and exposes some commonly asked questions.
Dive into computer vision's impact on industries with WNPL's glossary page, covering its definition, applications, and future trends.
Our Turing Test glossary page delves into the ultimate AI challenge: achieving indistinguishable intelligence from humans
Dive into AI Model Validation techniques at WNPL. Learn how to ensure your AI models are accurate and reliable for business applications
Discover neural networks on our glossary page: Unravel how they mimic the brain to solve complex problems in AI.
Uncover ETL processes in WNPL's glossary: The backbone of data warehousing. Learn how it supports analytics and decision-making with data integration.
Dive into supervised learning with WNPL's glossary: training AI models on labeled data for precise predictions and analysis.
Understand what Data lake is. This glossary explains the details and exposes some commonly asked questions.
Predictive Analytics: Driving business strategies with data. Learn how to use predictive models for informed decision-making.
Visit our glossary to understand regression's pivotal role in AI, enabling accurate predictions and insights from data
Explore the power of Predictive AI on our glossary page, where AI's predictive capabilities are explained.
Uncover the significance of quality training data in AI development on WNPL's glossary page. Learn about collection, preparation, and ethical considerations.
Learn about model evaluation techniques and their importance in predictive analytics.
Scenario Modelling: Shaping the future with AI. Learn how to use AI for effective planning and forecasting in uncertain times.
Understand what Quantum computing is. This glossary exposes some related commonly asked questions also.
See how Memory Processing Units streamline complex computations by integrating processing power with data storage.
Learn about batch processing in WNPL's glossary: Efficient data handling for analytics. Understand its role in data management and business intelligence.
Discover how IoT connects and transforms the world. Learn about the Internet of Things applications, benefits, and challenges.
Understand the importance of availability in IT on WNPL's glossary page. Strategies for minimizing downtime and ensuring business continuity.
Understand the importance of epochs in machine learning training, how to determine their optimal number, and their impact on model accuracy on WNPL's glossary page.
Explore NoSQL databases with WNPL's glossary. Understand their role in handling big data and enhancing application scalability and performance.
Unlock insights on custom Asp.net development. Discover key terms, best practices, and strategies for robust Asp.net web solutions
A technology inspired by the structure and function of the human brain. It involves designing computer chips that mimic the brain’s architecture to process information more efficiently and effectively than traditional computers.
Explore the essentials of AI with our comprehensive glossary, covering everything from machine learning to ethical AI use and future trends.
Explore the essentials of API Specification on WNPL's glossary page. Learn how it streamlines collaboration and boosts software integration.
Know what a Non-Disclosure Agreement is - understand its purpose, types and Legal Considerations.
Uncover how IBM's TrueNorth Chip sets new standards in energy efficiency and computational power for AI systems.
Discover the power of APIs on WNPL's glossary page. Understand how they enable seamless integration and innovation in software development.
Navigate the complexities of AI Compliance with WNPL's glossary. Stay ahead of regulations and ethical standards in AI use.
Big Data Analytics transforms decision-making. Learn how leveraging big data offers insights and competitive advantages.
Explore strategic planning: frameworks, tools, and FAQs for aligning goals with your mission, vision, and values for business success.
Dive deeper into Decision Tree Learning with our glossary, understanding its role in evolving AI decision-making processes.
Explore our comprehensive glossary on custom database development. Uncover its tools, significance, and diverse industry use cases.
Explore Decision Tree Learning on our glossary page and see how AI learns to make decisions from data
Explore the impact of bias in AI and learn strategies for mitigation on WNPL's glossary page. Understand types, causes, and effects in machine learning.
What are Generative Adversarial Networks (GANs)? This glossary exposes commonly asked questions.
Uncover the significance of penetration testing in identifying vulnerabilities. Visit WNPL's glossary for insights into enhancing security
Real-time Data Analytics transforms decision-making. Discover how instant data analysis drives business strategies and outcomes.
Enhance operational reliability with Predictive Maintenance. Discover AI's role in forecasting equipment failures and downtime.
Understand what Quantum AI is. This glossary exposes some related commonly asked questions also.
Transform your business with AI Enterprise solutions. Visit WNPL's glossary for strategies on integrating AI across operations.
Explore time series analysis for forecasting and anomaly detection across industries.
This is a method to compare two versions of an app or website or page (or any other resource) against each other to determine which one performs better. A/B testing is also known as split testing or bucket testing.
A/B testing is done extensively in marketing, where you might split the audience into two (or more) groups to run different variations of the same campaign. Similarly, A/B testing can be used to find the best way to organise screen elements when building a new software product.
For example, in Google Ads marketing, you might show one version of the ad to, say, half the audience and another version to another half. This allows to pick the best performing ad. This can be done on more variations, until you find the best performing ad. The same approach could be used for optimising landing pages for best performance.
Ad Hoc distribution of iOS apps allows an app to be distributed to a finite list of known iOS devices. The app is not published in app store, instead, the installation files are provided outside of the app store directly to such devices.
Ad Hoc version of the app is usually made before it is published to app store. This approach allows the app to be tested on a known set of devices. This is also used as a mechanism to distribute to get feedback as preprod from product owners.
Usually when the ad-hoc version is approved, it is submitted to App store for publishing.
Software development following "agile-development" principles and practice. see: 'agile-development'
Android is a mobile operating system used primarily for smartphones and tablets.
It's owned by Google.
Android is based on a modified version of Linux kernel.
In 2021 more than 131 million devices were running on Android operating system.
The official development environment for Android is the "Android Studio" from Google.
API is a connection between computer programs; it can also be used as a connection between computers or computer networks.
It is a type of software intermediary, that allows two applications to talk to each other.
This software intermediary allows delivery of a request to the other application (server) and then relays a response back to the calling application (client).
Such communication between the applications facilitates resource/service usage of one application by the other.
Usually API, the intermediary, is defined as a set of protocols, procedures, and tools.
In short, API can be viewed as a set of functions, which allow other applications to access data and interact with external resources.
Since APIs bring applications together through well documented interface, performing pre-defined processes that work by sharing data is easy and accessible.
APIs work as middle man, allowing developers to focus on their core software project and consume APIs where necessary to enhance or augment the functionality and resources.
API abstraction enables speed and agility, by hiding all implementation and infrastructure behind the interface.
A plan (or blueprint) of how an API should look structurally, what data it uses to interact and their limitations. That is, it is a document that specifies how to use or build an Application Programming Interface. It may contain the details of the resources, methods available/used. It also specifies the requests and responses and the data used in each.
Development teams and architects of those who consume or develop the APIs would find the API spec define the endpoints, data, types, attributes, etc. with enough clarity. This helps in maintenance and updates of APIs much faster.
API Spec is quite important before development, since it helps avoid design issues and data flow problems before implementation and coding.
An API development involves developing APIs for an existing or proposed software, as per API specifications.
This helps an organization to tap into their proposed API usage/economy and opening up much practical consumption of the software through API Integration.
We develop APIs for your existing or proposed projects.
Integrate your system with internal, legacy or third party systems/platforms through APIs.
WNPL has integrated a wide range of third party APIs for their client projects (see a list of some common platform integrations).
WNPL provides these services:
The process of verifying the identity of an individual, processes or entity is quite important in protecting digital assets and information. The mechanism for such verification is called Authentication. That is, authentication is about how n individual, processes or entity prove that they are legitimate.
Even if and entity/individual is authenticated, it does not mean they can access resources. Resources are usually protected using authorization. That is, when it comes to accessing resources, Authentication is done before the authorization process.
Authentication is the ability to prove that an individual, processes or entity is genuinely who they claim to be. Authentication ensures networks and digital resources are kept secure. This ensures that any individual, processes or entity that is not authorized would not have access to an organisations network, data, websites, mobile apps, email/SMS systems, computing power, access to applications, etc.
Authentication proves your identity. Some examples: 1) Entering a username and password to login to an app or website. 2) Using biometrics to have access to a mobile phone. 3) Use of facial recognition to unlock secure access.
Commonly organisations use 3 factors for authentication: 1) Something you know (e.g.: password) 2) Something you have (egg: smart cards, secure dongles, etc.) 3) Something you are (e.g.: fingerprint, facial recognition, voice recognition)
Authorization is the process of giving access rights/privileges to resources to an individual, processes or entity. That is, Authorization gives permission to do or have something in a computer network. More formally, "to authorize" would mean to setup an access policy (to resources and processes)
Authorization is a process by which a server determines if the client has permission to use a resource or access a file. Authorization is usually coupled with authentication so that the server has some concept of who the client is that is requesting access.
Identification is the claim of a subject of its identity. Authentication is the proof of identity that is achieved through providing credentials to the access control mechanism. Authorization is the mechanism that determines the access level(s) of the subjects to the objects.
Example-1: When you login to an online website, you might be authorized to access only certain features of the site as a free user, while paid users would have access to more advanced features. That is, authorisation to access advanced features is limited to paid users only.
Example-2: After an employee login to an organisation’s website, the system limits what information the employees are allowed to access, as well as what features of the site they are have access to.
Availability of a computer network/system refers to the ability of its users to have access to the system and its resources without disruption.
Customers expect services without interruption or disruption. Computer systems are prone to many interruptions like power outage, faulty machines, software glitches, etc. Availability of a system (represented as percentage uptime) shows how much reliable the system is for critical tasks that requires no disruption.
Amazon Web Services (AWS) provides a Platform-As-A-Service (PaaS) facility for any user to setup their software, website, database, etc. in the cloud. AWS hosting refers to setting up your website, software, etc. on AWS infrastructure for use by all your intended audience.
There are parts of a computer program that are not accessible (seen) by users. Backend refers to such portions of a computer program. Most database operations and business logic are usually processed by backend systems. The Backend can comprise of any programming languages and could do multitude of functions including Database operations, Business Logic, Communication (email, SMS, push notifications, etc.). Though backend could operations could be triggered by user, it is also possible to start them using automated system (e.g.: Cron/scheduled jobs).
When we open a website in a browser, everything that happens before the page is displayed is part of the backend. For example, when you login to a website, the login process happens in the backend and you will see the result of the operation in the browser as a result page.
When the front-end requests are processed by the backed server, the database repository used by the backend server is called the backend database. Usually, the backend database is not directly accessible by the front-end server or front-end applications.
The development of code for the backend is referred to as backend development. This involves the configuration, coding and infrastructure management for the communication, logical operation and database management to render the information requested by the front end.
Backend server refers to the computing part of the back end that is responsible for retuning the requested information by the user. Backend server is responsible for receiving requests from the frontend, processing the request, applying logic and managing data repositories to deliver the requested information to front end.
In the IT industry, Business Analysis aims at identifying the needs of a business and come up with solutions to business problems. This is usually achieved through the analysis and subsequent interpretation of business processes/services (or software). Business analysis is usually followed by
Business analysis aims to improve business processes or identify and find solution to a business problem. These are steps:
WNPL analyses your business processes and software systems to come up with efficient solution to bring sustainable value. Our services include:
Cloud in IT sector generally means ‘Cloud computing’. This refers to any service that deliver hosted services over the internet, without direct active management by the user.
The cloud computing services can be divided into:
WNPL can help setup hosting client software in Cloud services like AWS, Azure and Google Cloud. For example, hosting a web site or web application as well as backend software of Mobile apps. WNPL has experience in setting up, securing and tuning for high availability of server infrastructure.
This is error message received in computer network communications when what was requested cannot be found. In most cases, this happens when the link that was requested is either broken or dead. The error indicates that the browser (or caller) was able to connect and communicate with the server, but the server was unable to find the requested resource.
The HTTP 404, 404 not found, 404, 404 error and "page not found" or "file not found" error message are part of 'Hypertext Transfer Protocol' standard response code.
Kronos (currently called ‘Ultimate Kronos Group’) is a workforce management and human capital management cloud platform developer.
Kronos is the world’s leading workforce management company whose cloud-based products are used by 10’s of thousands of companies and at least half of fortune 1000 companies, and serves more than 40 million people in more than 100 countries. It’s payroll and scheduling cloud platforms are relied upon by international giants like Whole Foods, GameStop and Honda.
Time and scheduling of workforce are critical operations, and can critically affect the profitability and operational efficiency of organisations. If not done correctly, these can raise compliance risks. Kronos helps in achieving business outcomes through seamless employee engagement, thereby controlling labour costs, and increasing productivity.
Kronos developed the integration component, Workforce Integration Manager (WIM), which designed to ease data sharing between Kronos and other systems. WIM allows integration with external and internal system within an organisation. It also allows the development of new products and services (from technical partners of Kronos) to extend the capabilities of the Kronos platform.
Kronos marketplace is an online platform from UKG that allows software Technology Partners to publish Plugins for the Kronos platform. Customers of Kronos can browse such third-party products, plugins and services.
Kronos merged with Ultimate Software (on April 1, 2020) and is now called ‘Ultimate Kronos Group’
WNPL provides consultation, business analysis, architecting, development, implementation, maintenance and support of plugins and integrations to the Kronos platform.
When developing a new product, the MVP approach encourages to build the first version of the product with just enough features (and value) that potential customers are willing to buy initially. This reduction or restriction of features help:
The MVP approach can benefit you in:
WNPL recommends MVP for new products:
NDA protects the information exchanged between two (or) parties. The information exchanged could include confidential material, knowledge, information, Multimedia material, etc. In short, NDA is a legal document signed by the parties involved to restrict the information exchanged to be within those set forth in the agreement.
WNPL encourages all their clients to enter into a non-Disclosure agreement when stating a new Software development project. This helps protect the idea and Intellectual Properties (IP) of the client. To more details and to sign an NDA to start project, please contact WNPL.
‘Pen Test’ or ‘ethical hacking’ is another name for Penetration testing.
Penetration testing (also known as ‘pen test’) is conducted to evaluate the security of a computer system. This is usually achieved through an authorized cyberattack on the system.
Cybercrime worldwide for companies will be above $10.5 trillion worldwide by year 2025. To counter this, your business needs to be vigilant and make sure none of the computer systems used are vulnerable. Penetration testing help the
The process of pen testing can be broken down into these 5 stages:
Uniting companies and their staff behind a common purpose is a big Management task. Staff base automates this through a simple to use yet efficient communications app and platform. Staff base allows the employees to reach out and engage across every channel
According to Staff base, more than 2000 companies use Staffbase communications platform and unifies communication of more than 2 million employees.
WNPL works with business to develop plugins and integrations to the Staffbase platform. WNPL team delivers this through consultation, business analysis, architecting, development, implementation, maintenance and support of plugins and custom integrations.
Staffbase marketplace is an online platform that allows software Technology Partners of Staffbase to publish Plugins and extensions to the Staffbase platform. Customers of Staffbase can browse such third-party products, plugins and services.
Zero Trust is a cyber security framework that requires all users to be authenticated. That is, all users who are inside or outside the organisation are considered untrusted until granted permission. Therefore, they need to be continuously validated for security after they are authenticated and authorized.
Zero trust aims to address the challenges faced by today’s business in securing cloud infrastructure, 3rd party business transactions, in-office workers, on-field workers and casual as well as work from home users. Zero trust architecture, sometimes known as perimeter less security, addresses this challenge trusting no one and nothing. That is, the Zero trust solutions should be capable of: “Never trust, always verify” and “treat every data flow, user, application, workload, device, network as untrusted”.