Vocabulary of Emerging Technologies

• Actionable Analytics Actionable Analytics is getting access to relevant data in the correct context; the ability to take action immediately, the power to acquire meaningful outcomes. The fast-evolving arena of Business Intelligence and Analytics aims to make analytics ‘invisible’ or more accessible and comprehensible to employees across the organization to enable better, faster, and more productive decisions.

Actionable Analytics is getting access to relevant data in the correct context; the ability to take action immediately, the power to acquire meaningful outcomes. The fast-evolving arena of Business Intelligence and Analytics aims to make analytics ‘invisible’ or more accessible and comprehensible to employees across the organization to enable better, faster, and more productive decisions.

• Adaptive Machine Learning In machine learning, many algorithms are adaptive or have adaptive variants, which usually means that the algorithm parameters are automatically adjusted according to statistics about the optimization thus far (e.g. the rate of convergence). Examples include adaptive simulated annealing, adaptive coordinate descent, AdaBoost, and adaptive quadrature.

In machine learning, many algorithms are adaptive or have adaptive variants, which usually means that the algorithm parameters are automatically adjusted according to statistics about the optimization thus far (e.g. the rate of convergence). Examples include adaptive simulated annealing, adaptive coordinate descent, AdaBoost, and adaptive quadrature.

• Adaptive automatic learning See Adaptive Machine Learning.

See Adaptive Machine Learning.

• Advanced Antibodies Advanced Antibodies are specialized proteins engineered with powerful binding abilities and improved therapeutic properties. Using advanced techniques like genetic engineering, these antibodies precisely target specific antigens. They offer targeted therapies for infectious diseases, cancer, autoimmune disorders, and neurological disorders, leading to more effective treatment strategies.

Advanced Antibodies are specialized proteins engineered with powerful binding abilities and improved therapeutic properties. Using advanced techniques like genetic engineering, these antibodies precisely target specific antigens. They offer targeted therapies for infectious diseases, cancer, autoimmune disorders, and neurological disorders, leading to more effective treatment strategies.

• Advanced driver-assistance systems (ADAS) Advanced driver-assistance systems (ADAS), are electronic systems that help the vehicle driver while driving or during parking.

Advanced driver-assistance systems (ADAS), are electronic systems that help the vehicle driver while driving or during parking.

• Affective Computing Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.

Affective computing technologies sense the emotional state of a user (via sensors, microphone, cameras and/or software logic) and respond by performing specific, predefined product/service features, such as changing a quiz or recommending a set of videos to fit the mood of the learner.

• AgTech Agtech is the application of new digital technologies with the intention of rapidly improving how efficiently activities at the different stages of agricultural value chains are conducted. Agtech is also seen to represent the application of technology – especially software and hardware technology – to the field of farming.[1] Agtech is a relatively new phenomenon emerging in the last decade to address increasing concerns about food security for the growing global population and the diminishing viability of farming.

Agtech is the application of new digital technologies with the intention of rapidly improving how efficiently activities at the different stages of agricultural value chains are conducted. Agtech is also seen to represent the application of technology – especially software and hardware technology – to the field of farming.[1] Agtech is a relatively new phenomenon emerging in the last decade to address increasing concerns about food security for the growing global population and the diminishing viability of farming.

• AI Assistant See Virtual Assistants.

See Virtual Assistants.

• AI Cloud Services AI cloud services are hosted services that allow development teams to incorporate the advantages inherent in AI and ML.

AI cloud services are hosted services that allow development teams to incorporate the advantages inherent in AI and ML.

• AI Developer Toolkits AI Developer Toolkits are applications and software development kits (SDKs) that abstract data science platforms, frameworks, and analytic libraries to enable software engineers to deliver AI-enabled applications. They cover 4 maturing categories: cloud-based AI as a service (AIaaS), toolkits for virtual assistants, device development kits, and AI serving SDKs.

AI Developer Toolkits are applications and software development kits (SDKs) that abstract data science platforms, frameworks, and analytic libraries to enable software engineers to deliver AI-enabled applications. They cover 4 maturing categories: cloud-based AI as a service (AIaaS), toolkits for virtual assistants, device development kits, and AI serving SDKs.

• AI Governance AI governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly.

AI governance is the idea that there should be a legal framework for ensuring that machine learning technologies are well researched and developed with the goal of helping humanity navigate the adoption of AI systems fairly.

• AI Marketplaces AI Marketplace is an easily accessible place supported by a technical infrastructure that facilitates the publication, consumption, and billing of reusable algorithms. Some marketplaces are used within an organization to support the internal sharing of prebuilt algorithms among data scientists.

AI Marketplace is an easily accessible place supported by a technical infrastructure that facilitates the publication, consumption, and billing of reusable algorithms. Some marketplaces are used within an organization to support the internal sharing of prebuilt algorithms among data scientists.

• AI PaaS AI PaaS is a set of AI and machine learning (ML) platform services for building, training, and deploying AI-powered functionalities for applications.

AI PaaS is a set of AI and machine learning (ML) platform services for building, training, and deploying AI-powered functionalities for applications.

• AI for marketing AI for marketing comprises systems that change behaviors without being explicitly programmed based on data collected, usage analysis, and other observations for marketing use cases. Unprecedented insight, intuition, and scale fueled by AI will help marketers deliver relevant experiences to prospects and customers with increasing effectiveness and efficiency.

AI for marketing comprises systems that change behaviors without being explicitly programmed based on data collected, usage analysis, and other observations for marketing use cases. Unprecedented insight, intuition, and scale fueled by AI will help marketers deliver relevant experiences to prospects and customers with increasing effectiveness and efficiency.

• Altcoin Altcoin, also known as alternative coins, is used to denote all cryptocurrencies from Ethereum to Dogecoin other than Bitcoin. Most altcoins were created to address bitcoin’s drawbacks and to provide newer versions with competitive benefits.

Altcoin, also known as alternative coins, is used to denote all cryptocurrencies from Ethereum to Dogecoin other than Bitcoin. Most altcoins were created to address bitcoin’s drawbacks and to provide newer versions with competitive benefits.

• Ambient Intelligence A technology that uses sensors and machine learning algorithms to create intelligent, adaptive environments that respond to the user’s needs and preferences. Ambient intelligence can be used to create immersive and personalized digital environments that adapt to the user’s behavior and preferences.

A technology that uses sensors and machine learning algorithms to create intelligent, adaptive environments that respond to the user’s needs and preferences. Ambient intelligence can be used to create immersive and personalized digital environments that adapt to the user’s behavior and preferences.

• An Order-to-Cash Transformation It provides you and your organization with the ability to work according to common principles that are true to your brand, strategy, and customer needs. You will need to build an agile model that provides the ability to deliver new products to new markets and ultimately the ability to revamp your revenue and delivery model. The order-to-cash process is the sequence of events and data flow occurring when a customer places an order, one of your products or services is purchased and payment and cash collection are finalized. It is a complex process that cuts across many parts of the organization and relies on several handshakes, a multitude of systems, and data with different attributes and requirements. If not appropriately structured, the order-to-cash process can upset your customers, your people and ultimately hurt your bottom line. It is complex and can be transformed into a process that is fit for you, your products, and your customers, minimizing inefficiencies and optimizing your customer experience.

It provides you and your organization with the ability to work according to common principles that are true to your brand, strategy, and customer needs. You will need to build an agile model that provides the ability to deliver new products to new markets and ultimately the ability to revamp your revenue and delivery model. The order-to-cash process is the sequence of events and data flow occurring when a customer places an order, one of your products or services is purchased and payment and cash collection are finalized. It is a complex process that cuts across many parts of the organization and relies on several handshakes, a multitude of systems, and data with different attributes and requirements. If not appropriately structured, the order-to-cash process can upset your customers, your people and ultimately hurt your bottom line.

It is complex and can be transformed into a process that is fit for you, your products, and your customers, minimizing inefficiencies and optimizing your customer experience.

• Analytics and BI Platform as a Service Analytics and business intelligence (ABI) platforms are characterized by easy-to-use functionality that supports a full analytic workflow — from data preparation to visual exploration and insight generation — with an emphasis on self-service and augmentation. ABI platforms are no longer differentiated by their data visualization capabilities, which are becoming commodities. Instead, differentiation is shifting to: Integrated support for enterprise reporting capabilities, Augmented analytics. ABI platform functionality includes the following 15 critical capability areas: security, Manageability, Cloud, Data source connectivity, Data preparation, Model complexity, Catalog, Automated insights, Advanced analytics, Data Visualization, Natural language query, Data storytelling, Embedded analytics, Natural language generation (NLG), Reporting.

Analytics and business intelligence (ABI) platforms are characterized by easy-to-use functionality that supports a full analytic workflow — from data preparation to visual exploration and insight generation — with an emphasis on self-service and augmentation. ABI platforms are no longer differentiated by their data visualization capabilities, which are becoming commodities. Instead, differentiation is shifting to: Integrated support for enterprise reporting capabilities, Augmented analytics. ABI platform functionality includes the following 15 critical capability areas: security, Manageability, Cloud, Data source connectivity, Data preparation, Model complexity, Catalog, Automated insights, Advanced analytics, Data Visualization, Natural language query, Data storytelling, Embedded analytics, Natural language generation (NLG), Reporting.

• Analytics and Business Intelligence (ABI) Analytics and business intelligence (ABI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.

Analytics and business intelligence (ABI) is an umbrella term that includes the applications, infrastructure and tools, and best practices that enable access to and analysis of information to improve and optimize decisions and performance.

• Angle of Arrival (AOA) The Angle of Arrival (AOA) is a method used for positioning in providing services such as E911, and for other military and civil radio-location applications, such as sonars and radars.

The Angle of Arrival (AOA) is a method used for positioning in providing services such as E911, and for other military and civil radio-location applications, such as sonars and radars.

• Angular Angular is an open-source, modern MVVC framework and platform that is used to build enterprise Single-page Web Applications (or SPAs) using HTML and TypeScript. As a framework, Angular implements core and optional functionality as a set of TypeScript libraries that you import into your apps.

Angular is an open-source, modern MVVC framework and platform that is used to build enterprise Single-page Web Applications (or SPAs) using HTML and TypeScript. As a framework, Angular implements core and optional functionality as a set of TypeScript libraries that you import into your apps.

• Appendage and Biological Function Augmentation In appendage and biological function augmentation, exoskeletons and prosthetics are used to replace or enhance such capabilities. We can see this in various forms, including surgical augmentation of the eyes of professional golfers and cochlear implants replacing nonfunctioning auditory nerves. Both the cosmetics and pharmaceutical industries are prime examples of what this type of augmentation looks like. Passive implants are used to enhance nails, hair, and even reshape body parts. Nootropics involves the use of natural or synthetic substances that has the potential to enhance a human’s mental skills, which sparks controversy.

In appendage and biological function augmentation, exoskeletons and prosthetics are used to replace or enhance such capabilities. We can see this in various forms, including surgical augmentation of the eyes of professional golfers and cochlear implants replacing nonfunctioning auditory nerves. Both the cosmetics and pharmaceutical industries are prime examples of what this type of augmentation looks like. Passive implants are used to enhance nails, hair, and even reshape body parts. Nootropics involves the use of natural or synthetic substances that has the potential to enhance a human’s mental skills, which sparks controversy.

• Application Data Management Application data management (ADM) is a technology-enabled business discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, governance, semantic consistency and accountability for data in a business application or suite, such as ERP, custom-made or core banking. Application data is the consistent and uniform set of identifiers and extended attributes maintained and/or used within an application or suite. Examples of such entities include customers, suppliers, products, assets, site, and prices.

Application data management (ADM) is a technology-enabled business discipline in which business and IT work together to ensure the uniformity, accuracy, stewardship, governance, semantic consistency and accountability for data in a business application or suite, such as ERP, custom-made or core banking. Application data is the consistent and uniform set of identifiers and extended attributes maintained and/or used within an application or suite. Examples of such entities include customers, suppliers, products, assets, site, and prices.

• Application Performance Monitoring (APM) Application performance monitoring (APM) is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.

Application performance monitoring (APM) is a suite of monitoring software comprising digital experience monitoring (DEM), application discovery, tracing and diagnostics, and purpose-built artificial intelligence for IT operations.

• Application Programming Interface (API) In the context of APIs, the word Application refers to any software with a distinct function. The interface can be thought of as a contract of service between two applications. This contract defines how the two communicate with each other using requests and responses.

In the context of APIs, the word Application refers to any software with a distinct function. The interface can be thought of as a contract of service between two applications. This contract defines how the two communicate with each other using requests and responses.

• Application Security Orchestration and Correlation (ASOC) Application security orchestration and correlation (ASOC) is a category of application security, “AppSec”, solution that helps streamline vulnerability testing and remediation through workflow automation.

Application security orchestration and correlation (ASOC) is a category of application security, “AppSec”, solution that helps streamline vulnerability testing and remediation through workflow automation.

• Application security (AppSec) AppSec is the process of finding, fixing, and preventing security vulnerabilities at the application level, as part of the software development processes. This includes adding application measures throughout the development life cycle, from application planning to production use.

AppSec is the process of finding, fixing, and preventing security vulnerabilities at the application level, as part of the software development processes. This includes adding application measures throughout the development life cycle, from application planning to production use.

• AR Cloud AR Cloud is a machine-readable, 1:1 scale model of the world that is continuously updated in real-time. It is a collection of billions of machine-readable datasets, point clouds, and descriptors, aligned with real-world coordinates; a living, shared, “soft copy” of the world created by scanning physical features around us in which persistent augmented reality experiences reside.

AR Cloud is a machine-readable, 1:1 scale model of the world that is continuously updated in real-time. It is a collection of billions of machine-readable datasets, point clouds, and descriptors, aligned with real-world coordinates; a living, shared, “soft copy” of the world created by scanning physical features around us in which persistent augmented reality experiences reside.

• Artificial Emotional Intelligence See Affective Computing.

See Affective Computing.

• Artificial General Intelligence Artificial General Intelligence (AGI) is AI that is designed to work with people to help solve currently intractable multidisciplinary problems, including global challenges such as climate change, more personalized healthcare and education etc. Modern AI systems work well for the specific problem on which they’ve been trained, but getting AI systems to help address some of the hardest problems facing the world today is argued to require generalization and deep mastery of multiple AI technologies.

Artificial General Intelligence (AGI) is AI that is designed to work with people to help solve currently intractable multidisciplinary problems, including global challenges such as climate change, more personalized healthcare and education etc. Modern AI systems work well for the specific problem on which they’ve been trained, but getting AI systems to help address some of the hardest problems facing the world today is argued to require generalization and deep mastery of multiple AI technologies.

• Artificial Intelligence (AI) Artificial intelligence (AI) applies advanced analysis and logic-based techniques, including Machine Learning, to interpret events, support and automate decisions, and take action.

Artificial intelligence (AI) applies advanced analysis and logic-based techniques, including Machine Learning, to interpret events, support and automate decisions, and take action.

• Artificial Intelligence IT Operations (AIOps) Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML), and other artificial intelligence (AI) technologies to automate the identification and resolution of common IT issues. The systems, services, and applications in a large enterprise produce immense volumes of log and performance data. AIOps uses this data to monitor assets and gain visibility into dependencies within and outside of IT systems.

Artificial intelligence for IT operations (AIOps) is an umbrella term for the use of big data analytics, machine learning (ML), and other artificial intelligence (AI) technologies to automate the identification and resolution of common IT issues. The systems, services, and applications in a large enterprise produce immense volumes of log and performance data. AIOps uses this data to monitor assets and gain visibility into dependencies within and outside of IT systems.

• Augmented Analytics Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms. It also augments the expert and citizen data scientists by automating many aspects of data science, machine learning, and AI model development, management, and deployment.

Augmented analytics is the use of enabling technologies such as machine learning and AI to assist with data preparation, insight generation, and insight explanation to augment how people explore and analyze data in analytics and BI platforms. It also augments the expert and citizen data scientists by automating many aspects of data science, machine learning, and AI model development, management, and deployment.

• Augmented Data Management Augmented data management leverages ML capabilities and AI engines to make enterprise information management categories including data quality, metadata management, master data management, data integration as well as database management systems (DBMSs) self-configuring and self-tuning.

Augmented data management leverages ML capabilities and AI engines to make enterprise information management categories including data quality, metadata management, master data management, data integration as well as database management systems (DBMSs) self-configuring and self-tuning.

• Augmented Intelligence Augmented intelligence is a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making, and new experiences.

Augmented intelligence is a human-centered partnership model of people and artificial intelligence (AI) working together to enhance cognitive performance, including learning, decision making, and new experiences.

• Augmented Intelligence Scenarios AI working with humans.

AI working with humans.

• Augmented Reality (AR) Augmented reality (AR) is the real-time use of information in the form of text, graphics, audio and other virtual enhancements integrated with real-world objects.

• Cloud Federation See Federated Cloud.

See Federated Cloud.

• Semantic