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Technology Tags 

3D

AdTech: 

AdTech (advertising technology) describes the software, programs, and tools used in digital advertising to connect with audiences, deliver campaigns, and measure the results of advertising. AdTech’s primary process is programmatic advertising, or the use of technology to buy and sell digital ads. This process is built on various platforms and networks, including the demand-side platform (DSP), a marketplace where advertisers can purchase ads, the supply-side platform (SSP), a tool for ad publishers that automates selling their ad inventory, the agency trading desk (ATD), where advertisers can plan and manage their ad purchases, ad networks, which aggregate ad inventory on the supply side and math them to the demand side, and ad servers, which serves ads to a website or app and reports performance metrics for those ads.

ADAS

AgeTech: 

AgeTech is any type of technology that helps improve the lives of aging adults. It includes services purchased by or on behalf of older people, services traded between younger and older people, and services delivered to future older people. AgeTech is a broad industry that supports the safety, sociality, health, and connectivity of older adults, as well as impacting other spheres of adult life. Examples of AgeTech include wearable devices that track health data and detect falls, social media platforms that connect older adults to friends, and transportation assistance programs or easy-to-use rideshare apps.

Agritech: 

AgriTech, or agricultural technology, refers to the application of technology and innovation in the agricultural sector. AgriTech encompasses a wide range of technologies, including automation, biotechnology, artificial intelligence, big data analytics, and genetic engineering. These technologies are used in drones, robots, sensors, software systems, and crops to support functions such as field surveying and crop health monitoring, picking crops more efficiently and accurately, and reducing waste of resources like water and soil. Ultimately, the goal of AgriTech is to increase farm yields, reduce costs of production, improve the sustainability of farming, and increase the resilience of crops.  

Artificial Intelligence: 

Artificial Intelligence (AI) refers to the creation of computer systems and machines that can imitate or simulate human intelligence. These systems are designed to perceive and understand their environment, learn from data or experiences, reason and make decisions, and perform tasks with varying degrees of autonomy. AI programming focuses on first acquiring data and creating algorithms for turning data into actionable information, and then choosing the right algorithm for a desired outcome. It also uses neural networks, statistical methods, and other techniques to generate new images, ideas, and other content. AI encompasses a range of technologies and techniques, including machine learning, natural language processing, computer vision, and robotics. Its applications span numerous domains, from virtual assistants and recommendation systems to self-driving cars and advanced medical diagnostics. 

Augmented Reality: 

Augmented Reality (AR) refers to a technology that superimposes digital content onto the real-world environment. It combines computer-generated elements such as images, videos, and 3D models with the real world in real-time to enhance a user's perception and interaction with their surroundings. A primary goal of AR is to highlight specific features of the physical world, increase understanding of those features through its computer-generated elements, and derive accessible insights with real world applications. This process can be used in many different industries; trying on virtual clothes, training medical professionals, or providing immersive educational tools are a few examples. 

Autonomous: 

In the context of technology, "autonomous" refers to the capability of a system or device to operate and make decisions independently, without requiring continuous human intervention or control. Autonomous technology often involves the use of artificial intelligence, sensors, and algorithms to perceive and analyze information from the environment, adapt to changing conditions, and execute tasks without direct human input.

Autonomous Car: 

Autonomous cars, or self-driving cars, are vehicles that can travel without human input. They use advanced technologies like sensors, cameras, radar, and artificial intelligence to perceive their surroundings, make real-time decisions, and control various systems, including navigation. The key feature of autonomous cars is their ability to run safely and efficiently without direct human intervention. These cars have the potential to revolutionize transportation as we know it. They can reduce accidents, improve traffic flow, and increase accessibility for individuals who cannot drive. To better understand the capabilities of autonomous cars, they are categorized into various levels of automation. These levels range from Level 0, which has no automation, to Level 5, which has full automation. Autonomous cars are a significant focus of research and development in the automotive industry. The goal is to make transportation safer, more convenient, and environmentally friendly.

Automotive: 

The automotive industry encompasses the design, production, and sale of all types of automobiles, along with the manufacturing of automotive parts and accessories. It includes automakers, suppliers, dealerships, and related support industries like mechanics and repair. Technology has become increasingly prominent in the automotive industry in recent years with the rising popularity of electric vehicles and autonomous cars. However, there are many other applications of technology in the industry as well Vehicle-to-Vehicle communication, augmented reality and heads-up displays, vehicle cybersecurity, and lightweight materials and 3D printing are all examples of other technological applications that increase the capabilities, productivity, and safety of modern vehicles. 

Big Data: 

Big Data refers to extremely large datasets, usually consisting of data from many sources and applications, that are too large and complex for traditional data processing software. These datasets are generated at high volume, high velocity, and in a wide variety of structures, and are used to identify patterns, trends, and insights that can be used in various applications across many industries. Social media platforms generate enormous amounts of data in the form of all kinds of user interaction. Banks and financial institutions use big data to detect fraud patterns, manage risk, and optimize their customer relationships. Big data can even be seen in meteorology, as weather satellites across the world gather large amounts of data to track environmental conditions.  

Blockchain: 

Blockchain is a shared, immutable ledger that facilitates the process of recording transactions and tracking assets in a business network. When a transaction occurs, it is recorded as a “block” of data in the ledger, which can’t be changed. Each block is connected to the ones before and after it, forming a chain of data as an asset changes ownership. All network participants have access to the distributed ledger and its immutable record of transactions, and the network is completely decentralized, meaning there is no central authority over the ledger or network. Virtually anything of value can be tracked and traded on the network; assets can be tangible (a house, cash, land) or intangible (intellectual property, copyrights, branding). The most common asset traded on blockchain is cryptocurrency. Blockchain provides greater trust in records, greater security on transactions, and a more efficient network. 

Business Intelligence

Climate Tech: 

Climate tech refers to a broad range of technological innovations and solutions aimed at preventing, mitigating or adapting to climate change and promoting environmental sustainability. These technologies typically aim to reduce greenhouse gas emissions, conserve natural resources, and foster a more sustainable and resilient society. Climate tech encompasses various sectors and applications, including energy, transportation, agriculture, and waste management. Examples include renewable energy technologies like solar power or wind turbines, electric vehicles, carbon capture and storage, climate monitoring, and more.  

Cloud: 

“Cloud” refers to cloud computing services, which involves the delivery of various computing services such as storage, servers, databases, software, and networking over the internet. The “cloud” acts as a virtual space where users can access its services remotely, without any local infrastructure or hardware needed. Users can store and process data, build and test applications, deliver on-demand software, and more. Most cloud computing services fall into four categories: infrastructure as a service (IaaS), platform as a service (PaaS), software as a service (SaaS), and serverless. With IaaS, users rent IT infrastructure, like servers or storage, from their cloud provider. PaaS supplies on-demand environments for developing, testing, delivering, and managing software applications, which makes it easier for developers to quickly build web or mobile apps. SaaS is a method for delivering software applications over the internet, with the cloud providers hosting and managing the applications and underlying infrastructure. Serverless computing overlaps with PaaS and focuses on building app functionality without continually managing servers and infrastructure. Reduced costs, faster speeds, more reliability, and scalability are some of the benefits of cloud computing services.  

Cloud Security

Computer Vision: 

Computer vision is a branch of artificial intelligence and computer science focused on teaching computers to understand visual information from images or videos. This involves creating special instructions, known as algorithms, that allow computers to analyze and interpret what they "see" in pictures or videos. The goal is to make computers capable of doing things similar to human vision, like recognizing objects, understanding movement, and figuring out important details from visual data. Computer vision systems use techniques from image processing, pattern recognition, and machine learning to do tasks like identifying objects, tracking motion, understanding the layout of a scene, and making decisions based on what they "see." This technology finds many uses, like analyzing images and videos, spotting and naming objects, recognizing faces, making self-driving cars, looking at medical images, controlling robots, creating augmented reality experiences, and more.

Consumer Electronics

Construction Tech: 

Construction technology is any technology that improves the efficiency, productivity, safety, or sustainability of construction. This can consist of innovative tools, machinery, software, or any application used to improve the way construction projects are planned, designed, executed, and managed. Safety is a major application of construction tech, and the use of drones, robotics, wearable technologies, and prefabrication have greatly reduced the risk to construction workers by automating dangerous tasks and more effectively planning projects. Building information modeling (BIM) software and virtual reality also help model projects and improve the overall efficiency of the construction process. 

Cryptocurrency: 

Cryptocurrencies are digital systems that allow secure online payments using virtual tokens. These tokens, known as digital currency, rely on cryptography to ensure secure financial transactions and prevent counterfeiting. Cryptocurrencies operate on decentralized networks called blockchains, where each transaction adds a secure data block to the chain. The use of decentralized networks and cryptography makes cryptocurrency safer and more secure compared to government or bank currencies. Furthermore, cryptocurrency and blockchain enable faster and more accessible transactions globally. However, cryptocurrency is highly volatile and has liquidity challenges due to limited exchanges for trading and limited everyday uses in purchases.

Cyber Security: 

Cyber Security, also known as information technology security or electronic information security, cybersecurity is the practice of protecting critical systems, computers, servers, mobile devices, electronic systems, networks and their sensitive information / data, from digital attacks using a wide range of technologies, processes, and polices. Cybersecurity practices fall under many domains, the most common including critical infrastructure security, application security, cloud security, and network security. These security measures all deal with protecting an organization’s data, networks, and systems through intrusion detection systems, firewalls, data encryption, vulnerability scans, and more. They commonly protect against threats like ransomware (malware that locks down and threatens to destroy data), phishing (tricking users into providing sensitive information), or DDoS attacks (which flood servers with traffic to take them offline).  

Data Analytics: 

Data analytics is the process of examining and interpreting large sets of data to uncover meaningful insights, patterns, and trends. It involves using various statistical and analytical techniques to extract valuable information and knowledge from raw data. Data analytics encompasses several stages, including data collection, data cleaning and preprocessing, data modeling and analysis, and data visualization. It often involves using advanced tools, algorithms, and technologies to handle and process large volumes of data efficiently. The goal of data analytics is to gain a deeper understanding of the data, identify relationships between variables, and make informed decisions or predictions based on the findings. Data analytics is widely used in various fields and industries, including business, finance, healthcare, marketing, sports, and more. It helps organizations gain insights into customer behavior, improve operational efficiency, identify market trends, detect fraud, optimize resource allocation, and support evidence-based decision-making.

Data Protection

Data Security

Deep Learning: 

Deep learning is an artificial intelligence (AI) method that enables computers to process data in a manner inspired by the human brain. Deep learning models have the ability to identify intricate patterns in various forms of data, such as images, text, sounds, and more, resulting in accurate insights and predictions. It is a subset of machine learning that utilizes artificial neural networks to learn from data. These models typically consist of interconnected nodes, similar to neurons in the human brain, organized into multiple layers. The presence of multiple layers allows deep learning models to grasp complex patterns within the data. For instance, an image recognition model may have one layer dedicated to detecting edges, another layer for identifying shapes, and a third layer for recognizing objects. Data plays a crucial role in the learning process of deep learning models. The more data a model is exposed to during training, the better it becomes at comprehending intricate patterns. Currently, deep learning is widely used in image and speech recognition, as well as natural language processing. However, its applications continue to expand and evolve.

Deep Tech: 

Deep Tech encompasses technology grounded in scientific research or engineering breakthroughs, spanning fields like quantum computing, electric vehicles, and genetic testing. Developing and commercializing products in this domain necessitates substantial investments of time and resources, and companies rely heavily on tech-savvy scientists and engineers to devise novel solutions. Deep Tech companies only tackle problems unaddressed by existing technologies, and the solutions have potential to create significant impact across many industries. They are therefore largely disruptive and often trigger significant market transformations. These solutions are critical for solving complex global issues like climate change, sustainable energy, or global health. Examples of recent deep tech developments includes artificial intelligence, blockchain, internet of things, and quantum computing; all of which have had substantial influence on many different industries in recent years.

Desert Tech: 

Desert technology is tackling the issues surrounding desertification. Desertification refers to the ecological deterioration process wherein fertile land transitions into arid conditions, leading to the loss or reduction of its productivity. One can discover and establish connections with agricultural, water, renewable energy, and infrastructure solutions that pertain to the worldwide desert challenges, encompassing water scarcity, land degradation, extreme climate conditions, and remote habitation.

DevOps: 

evOps is a software development approach that combines software development (Dev) and information technology operations (Ops) to enhance collaboration, streamline processes, and automate the delivery of software applications. Critical practices in DevOps includes continuous integration, delivery, and monitoring, all designed to support the integration of development, testing, and deployment of products and services. They serve to dismantle barriers between teams, improve collaboration and communication, and heighten the security of the organization. They also help attain heightened speed, improve quality, and reduce expenses of the entire software application development process. DevOps is gaining traction as a contemporary approach to software development. 

Diagnostics: 

Diagnostics refers to the process of gathering information, identifying problems, and developing solutions using software or hardware. Diagnostics are most commonly used in healthcare and IT, as their primary application is checking the health of systems (human or machine) and quickly identifying any problems in performance. Diagnostics often take form in various tests, whether it be checking computer system health and performance or scanning for health issues in humans. Continuous monitoring is another form of diagnostics, where health is tracked over time to identify patterns or potential weaknesses. This can be through a software application for systems monitoring, or health trackers like wearable heart rate monitors. Diagnostics help ensure smooth performance and efficiency by providing quality monitoring and data. 

Digital Health: 

Digital health refers to the use of information and communications technologies in medicine and other health professions to manage illnesses, identify health risks, and promote various other positive health outcomes such as mental wellness. Digital health has a broad scope and includes the use of wearable trackers and monitors, mobile health apps, telehealth services, health information technology, and more. These resources enhance healthcare access, lower its costs, and improve its quality by addressing inefficiencies in the healthcare system. They also help diagnose and treat disease, manage chronic illness, and improve overall public health. 

Drones: 

The term “drone” refers to any unpiloted aircraft that relies on software or remote command for autonomous flight. They are typically equipped with propellors and sensors to control movement, GPS, camera, radar, and lidar, which allow it to track locations, collect data, and perform a variety of tasks in different environments. Drones have a multitude of use cases and have already impacted many different industries, including military surveillance, crop maintenance, food delivery, and environmental or political research in dangerous areas. In any application, drones provide increased efficiency, reduced risk, lower costs, and greater convenience. 

EdTech: 

EdTech, or education technology, is the use of technology tools to create more engaging, personalized, and effective learning experiences, and increase the overall quality of education. Edtech includes software and hardware tools that make it easier for students to stay engaged, increase accessibility to resources, improve interactions between students and teachers, and help teachers organize coursework and grades more efficiently through task automation. Common EdTech tools include online learning platforms and forums, gamification, and big data applications for tracking student progress. Advancements in EdTech help optimize the education experience for students, teachers, and universities, often lowering costs and improving metrics of student success. 

Efficiency

Endpoint Security

Energy

Fashion Tech: 

Fashion Tech involves any disruptive or innovative technology used within the fashion industry. This can include developments in the design, manufacturing, sustainability, or retail aspects of fashion. There are many different facets of applications in fashion tech, the most popular being wearable technology. Smart watches, jewelry, and fitness trackers combine fashion and functionality by allowing users to track health metrics without sacrificing style. Other applications include 3D printing (used to create custom garments, innovative fabrics or other materials), robots that reduce errors in manufacturing and speed up production, artificial intelligence can be used to design clothes, and even smart fabrics embedded with sensors to track body temperature and adapt to climate. All of these advancements in fashion tech serve to optimize the industry- reducing costs, increasing sustainability, and personalizing the customer experience to make it more efficient.

FemTech: 

FemTech provides a wide range of solutions to improve health and wellness for women across a number of female-specific conditions, including maternal health, menstrual health, fertility, menopause, pelvic floor muscles, and contraception, as well as several general health conditions that affect women disproportionately (such as osteoporosis). FemTech applications include tracking and monitoring devices for health conditions, online health communities and forums, clothing and fabrics with specific functionality for women’s health needs, workforce and career development platforms for women’s empowerment in the workplace, and even augmented reality beauty services

FinTech: 

FinTech, or financial technology, consists of new technology that modifies, enhances, or automates financial services for businesses and consumers. It is generally composed of specialized software and algorithms that reduce costs and increase the safety and efficiency of financial operations. One of the most popular aspects of fintech is its use of blockchain as a decentralized trading platform for cryptocurrencies. Other applications include investment platforms that make investing faster and more accessible, payment and transfer apps that allow for fast, secure transactions between accounts, and robo-advisors that use algorithms to give financial advice or build and manage a financial portfolio. Fintech is one of the most rapidly growing industries and consistently responds to developments in other industries like Artificial Intelligence or big data. 

Fleet Management

FoodTech: 

Food technology is the branch of food science that addresses the production, preservation, quality control and research and development of food products. The primary goal of food tech is to improve the way food is produced, processed, and distributed. Examples of foodtech applications range from lab-grown food and robotic farming systems to restaurant and grocery delivery systems. These services increase the safety of food consumption, reduce waste in the production and distribution process, increase its sustainability and its accessibility to everyone. 

Fraud Detection

Gaming: 

Gaming is a term referencing the video game industry (a segment of the global entertainment industry) which includes various platforms for video games (console, pc, mobile) and genres (action, role-playing, puzzle). There are many different types of gaming, one of the most popular being social gaming- where gamers play online with other people. Other prominent types include simulation games, online gambling, and educational gamification, where video games are leveraged as learning tools for children. This has become increasingly useful as technology becomes more mainstream in households, utilizing puzzles, math games, music games, and more to help develop children in a fun way. Competitive Esports have also become increasingly mainstream, gaining popularity during the pandemic.

Generative AI: 

Generative AI is a branch of artificial intelligence that enables users to generate new content, such as images, text, or music based on a variety of inputs and existing data. Generative AI models work by using neural networks to identify patterns and structures from data, using unsupervised or semi-supervised learning, to generate original content. Many generative AI models use generative adversarial networks (GANs), which consist of a generative network (the part that generates new content) and a discriminative network (the part that differentiates between the generated content and real examples). Generative AI can help improve productivity by automating tasks, improve creativity by developing new ideas, and assisting in decision making by providing new insights. Models are not perfect and can contain bias or privacy issues due to their lack of regulation, but generative AI is still often used in industries like marketing to develop ad campaigns, or finance to create market insights or predict trends.

Healthcare: 

Healthcare refers to the maintenance and improvement of physical and mental health through the provision of medical services. It encompasses a wide range of services, from preventive care to diagnostic and treatment services, as well as rehabilitation and palliative care. The goal of healthcare is to promote and maintain health, prevent illness and injury, and treat and manage diseases and conditions. It is a vital component of any society, ensuring that individuals have access to the care they need to live healthy and productive lives.

Healthcare IT: 

Healthcare IT, or Health Information Technology (HIT), is the use of technology in healthcare to make managing, delivering, and coordinating healthcare services better. It involves using computers, software, and communication tech to store, manage, share, and analyze health-related info. This helps with things like keeping electronic health records, using telehealth and telemedicine, and using data analytics to support medical decisions. These tech tools make clinics and hospitals provide better care, keep patients safe, and involve patients more.

HR Tech: 

HR tech, or human resources technology, is a broad term that refers to the software and hardware used to automate essential HR functions. HR tech can help HR professionals streamline time-consuming tasks, such as filing, talent acquisition, performance management, data storage and organization. HR tech usually takes form in software systems and applications. Examples include HRIS (Human Resources Information System), a software system that helps organizations manage their HR data, ATS (Applicant Tracking System), a software system that helps organizations manage their hiring process, and performance management software, which helps companies track employee performance and provide feedback.

Identity & Access Management

Image Processing

Image Recognition

Impact: 

Mission-driven companies focus on creating positive effects or influence through product/service development in various industries. These impact technologies prioritize sustainability, reducing environmental impact, promoting renewable energy, and managing emissions/waste. They also address social welfare concerns like healthcare/education access. Impact innovation's significance has grown due to recognition of environmental, social, and governance (ESG) issues and Sustainable Development Goals (SDGs). SDGs cover objectives such as poverty/hunger eradication, good health/well-being, quality education, gender equality, clean water/sanitation, affordable/clean energy, decent work/economic growth, industry/infrastructure support, inequality reduction, sustainable cities/communities, responsible consumption/production, climate action, underwater/on-land life conservation, and peace/justice/strong institutions via partnerships. Evaluating the impact of technology helps understand its significance and outcomes in terms of benefits, challenges, and consequences it has on individuals, society, industries, and the environment. 

Industry 4.0: 

Industry 4.0, also referred to as the Fourth Industrial Revolution, is the current trend of automation and data exchange in manufacturing technologies. It is characterized by the use of advanced digital technologies to create smart factories that can operate autonomously and communicate with each other. Industry 4.0 encompasses various technologies that are transforming the industrial landscape, including the Internet of Things, artificial intelligence, big data analytics, cloud computing, cyber-physical systems, and more. These technologies help build things like sensors, robots, and software algorithms that monitor performance, increase efficiency, and reduce maintenance costs. Developments in Industry 4.0 also increase the safety of manufacturing and the quality of products produced.

Insurtech: 

Insurtech refers to insurance technology, or the use of tech innovations to optimize the insurance industry. These technologies include digital platforms, data analytics, machine learning, and other technologies to provide more accessible, efficient, and cost-effective solutions for all types of insurance. Examples of insurtech applications include online insurance marketplaces, automated claims processing, data analytics for risk assessment, and usage-based insurance, which monitors customer behavior to provide relative insurance premiums based on their usage patterns. Along with optimizing the existing industry, insurtech innovations have also developed new business models that have improved customer engagement and disrupted existing methods of insurance transactions.

Internet of Things (IoT): 

The Internet of Things (IoT) refers to the interconnected network of physical devices, vehicles, appliances, and other objects embedded with sensors, software, and network connectivity, enabling them to collect and exchange data. IoT applications span across a wide range of sectors, including home automation, healthcare, transportation, agriculture, manufacturing, energy management, and more. Applications can include things like smart thermostats, which gather data about temperature and occupancy and adjust themselves accordingly, wearables like fitness trackers that track health patterns, as well as industrial machinery in manufacturing plants that monitor performance and identify potential problems. The main idea behind IoT is to enable these devices, whether they are household items or complex machines, to communicate with each other and with central systems over the internet, creating an ecosystem where data can be collected, analyzed, and acted upon in real-time. This interconnectedness allows for smart automation, data-driven decision-making, and enhanced capabilities for various industries and daily life applications.

LegalTech: 

Legal tech, short for legal technology, refers to the use of technology and software applications to streamline and enhance legal services and processes. It encompasses a wide range of tools, platforms, and solutions that aim to improve efficiency, accuracy, accessibility, and affordability within the legal industry. Key aspects of legal tech include version control and search capabilities for organizing and managing large number of documents and cases, legal research platforms and databases, and E-discovery software that automates the process of collecting and preserving electronic evidence in litigation. Legal tech helps quicken legal processes, reduce costs, and improve the accuracy of important legal information.

Logistics

Machine Learning: 

Machine learning (ML) is a branch of Artificial Intelligence that uses data and algorithms to gradually improve a software application’s accuracy in predicting outcomes. ML algorithms use historical data to produce an estimate or prediction about a future pattern in that data. The three main types of ML are supervised, unsupervised, and reinforcement learning. In supervised learning, the algorithm is trained on a set of input and desired output data. The algorithm uses both sets to identify patterns in the input that are associated with the output. In unsupervised learning, there is no labeled output data available, and the algorithm is tasked to identify patterns without any guidance. In reinforcement learning, the algorithm makes decisions by trial and error; it is given a reward for taking action towards the desired outcome and learns to maximize its reward. ML has a wide variety of uses in many industries, some popular examples including music recommendations (unsupervised), financial fraud detection (supervised), and self-driving cars (reinforcement). 

Machine Vision: 

Machine vision is the ability of a computer to extract meaningful information from digital images or videos. It is a field of computer science that is closely related to artificial intelligence and image processing. Machine vision systems typically consist of four main components: image acquisition, image processing, feature extraction, and decision making. Machine vision is used in a wide variety of applications, including manufacturing, healthcare, and transportation. In manufacturing, machine vision is used to inspect products, identify defects, and guide robots. In healthcare, machine vision is used to diagnose diseases, perform surgery, and monitor patients. In transportation, machine vision is used to control traffic, monitor road conditions, and identify objects. The benefits of using machine vision include increased accuracy, increased efficiency, and reduced costs. Machine vision systems can be much more accurate than human inspectors, and they can automate tasks that were previously done by humans. This can free up human workers to focus on other tasks, and it can also lead to increased productivity and reduced costs

Marketing Tech: 

Marketing tech encompasses the tools and software marketers use to plan, execute, and measure marketing campaigns. It combines marketing strategies and techniques with technological advancements to help businesses reach their target audience, drive customer engagement, and achieve their marketing goals more effectively. Examples of marketing tech applications include customer relationship management (CRM) software, social media and content management systems, search engine optimization, customer data platforms, advertising tech solutions, and more. All of these applications serve to manage and analyze customer data, create and publish online campaigns, track engagement and ad performance, and optimize the connectivity between the consumer and the product. Marketing tech increases the amount of available data, improves automation practices, and helps create more personalized ad campaigns to reach and retain a target audience more effectively.

Medical Cannabis: 

Medical cannabis is a term for the use of the Cannabis sativa plant or its extracts to treat symptoms of illness and other conditions. It involves the use of cannabis or cannabinoids, the active ingredient in cannabis that interact with the body's endocannabinoid system (system of receptors and signaling molecules that plays a role in regulating pain, appetite, mood, and sleep). The effects of medical cannabis are still being heavily studied, but there is evidence that it can be a safe and effective treatment for many different conditions. Muscle spasms, chronic pain, cancer-related pain, and depression are a few examples of conditions medical cannabis is currently being used to treat. Laws for medical cannabis still vary by country as there is still some uncertainty to how use of the drug effects different people with varying conditions; however, many countries in recent years have begun removing restrictions for its use. 

Metaverse: 

The term "metaverse" refers to the concept of a virtual reality space where people can interact with each other and digital objects in a collective virtual shared environment. It is often depicted as a fully immersive, three-dimensional virtual world, but it can also include augmented reality experiences that blend the virtual and physical worlds. It combines virtual and augmented reality with the internet and various emerging technologies to create such a world. Within the metaverse, users can socialize, work, shop, and play games. They can also create and distribute their own content and interact in real time with other users, all in a continuously existing space- meaning users can enter and exit at any time. The metaverse leverages virtual and augmented reality, artificial intelligence, blockchain, and other emerging technologies, and has been gaining popularity in recent years alongside advancements in these technologies. Its primary goal is to seamlessly integrate the physical and digital world, allowing for a more immersive online experience, better online interaction and communication, and even more expanded possibilities in the digital realm. While still in its early stages of development, the metaverse has shown promise as a new way of integrating the digital world into our reality. 

Mobility

Network Security

NLP: 

Natural Language Processing (NLP) is a machine learning technology that gives computers the ability to interpret, manipulate, and comprehend human language. It works by combining computational linguistics (constructing human language models with software), machine learning (training a computer to improve its efficiency), and deep learning models (teaching computers to think like humans) to process speech or text. Companies use NLP software to automatically process data from human communication channels, analyze its sentiment, and respond in real time. NLP software can work through differences in dialect, slang, and grammar to fully and efficiently analyze text and speech data. This is important for businesses to efficiently process large documents, analyze customer feedback, and improve business analytics, which are necessary practices for almost any business from legal to retail.

Open Source

Optimization

PLG (Product-Led Growth)

Predictive Analytics: 

Predictive analytics refers to the practice of using historical data, statistical algorithms, and machine learning techniques to make predictions about future events or outcomes. The process of predictive analytics typically involves collecting historical data from various sources, cleaning and transforming it to ensure its quality, and applying statistical and machine learning algorithms to the data to build a predictive model based on identified patterns and trends. Models can then be used to make predictions or forecasts on new, unseen data. These predictions can help organizations make informed decisions, optimize processes, mitigate risks, and gain a competitive advantage. Examples of predictive analytics applications include predicting customer behavior and preferences, forecasting sales or demand, identifying fraudulent financial activities, optimizing maintenance schedules, predicting equipment failures, and analyzing risk profiles.

PrivacyTech: 

Privacy tech encompasses various technologies, tools, and services designed to safeguard user privacy. Individuals, businesses, and governments can utilize these technologies to maintain the confidentiality and security of information. An essential aspect of privacy tech is compliance with privacy protection measures. With the increasing volume and sensitivity of collected data, users, businesses, and governments bear a greater responsibility to uphold user privacy. Consequently, privacy compliance regulations have become stricter and more widespread, necessitating institutions to enhance data protection practices and security. Numerous privacy tech advancements aim to address these protective measures. They include compliance gap analysis software, data management tools, and protection services that facilitate controlled and compliant data distribution. Additionally, privacy tech encompasses encryption (converting data into a coded form accessible only with a decryption key), anonymization (separating personally identifiable information from user data), and privacy-focused software and systems. These solutions empower users to retain control over their data and impede tracking by applications and websites. As the digital world expands, the importance of privacy tech grows, with emerging technologies like web3 and blockchain prioritizing user data protection and digital security.

PropTech: 

PropTech, short for property technology, refers to the use of technology and innovation in the real estate business. It includes a wide range of digital solutions, software platforms, hardware devices, and data-driven techniques aimed at improving the way properties are purchased, sold, rented, maintained, and used. Virtual reality house tours, property management software, online property marketplaces, and smart home technologies are all examples of property technology. Platforms for crowdfunding real estate projects and investing in real estate have also grown in popularity in recent years. All of this serves to make the property purchase and management process more efficient, accessible, and transparent.

P2P (Peer-to-Peer)

Quantum Technology: 

Quantum technology is a field of technology that uses principles of quantum mechanics (the behavior of matter and energy at the smallest scale) to develop new applications and technologies. The three major principles of quantum technology are quantum superposition, quantum entanglement, and quantum tunneling. Quantum superposition is the ability of a quantum particle to exist in multiple states at the same time. This is utilized in quantum computing, where quantum bits (bits that can exist in states of 0 and 1 simultaneously) are used instead of classical computer bits to solve complex problems exponentially faster. These problems include factorizing large numbers, optimizing complex systems, or searching large databases as a few examples. Quantum entanglement occurs when two or more particles become connected in a way that the state of one particle is instantly correlated with the state of another (regardless of distance). This is often used in quantum communication to create more secure and unbreakable communication channels. Quantum tunneling is the ability of a quantum particle to pass through an energy barrier that a classical particle could not pass through. This can be used in scanning tunneling microscopes (STM) or quantum imaging to image objects that are too small or delicate for classical imaging techniques- often at the atomic level. Quantum technologies are new and complex but have immense potential and have already found an impact in many industries. 

RetailTech: 

RetailTech encompasses digital tools and services that aid retailers in managing and optimizing their operations. It includes Point of Sale (POS) systems, Customer Relationship Management (CRM) systems, and VR e-commerce software. These tools streamline retail processes such as inventory management, sales tracking, payment processing, and personalized customer experiences. Retail tech also utilizes artificial intelligence and machine learning to optimize pricing, detect fraud, and offer tailored customer service. Innovative retail tech is vital for maintaining competitiveness, enhancing accessibility, efficiency, and personalization in the retail experience. RetailTech is, often overlapping / intersecting: E-commerce, Instore (operations and analytics), Supply Chain and logistics tech, Robotic fulfillment, Last Mile Delivery, Cashier-less Checkout, Loyalty and Rewards Tech. 

Risk Management

Robotics: 

Robotics is a multidisciplinary field combining engineering and technology innovations to design, construct, program, and operate machines known as robots. Robots are built to perform tasks automatically or with human assistance, often replacing human labor in repetitive or dangerous practices. They also come in various forms, anywhere from simple machines with singular tasks to an advanced humanoid capable of interacting with humans. Robots use sensors, actuators and data processing, sometimes intersecting with artificial intelligence, to interact with the physical world. Robots are often utilized in manufacturing to reduce human error and risk and create more efficient manufacturing practices. They are also used in healthcare to perform surgery and patient care, in defense to patrol and gather intelligence, and even in space exploration. In any applicable field, robotics increase efficiency and consistency, improve safety, and reduce costs over time. 

SaaS: 

Software as a Service (SaaS) is a subscription-based software licensing and delivery model. It is also referred to as on-demand, web-based, or web-hosted software. SaaS involves providing software applications over the internet as a service in a cloud computing framework. The software is hosted on remote servers, maintained and updated by the service provider. Users access it through web browsers, mobile apps, and APIs via a subscription service. SaaS applications have diverse applications, both personal and professional, encompassing everything from online entertainment to advanced business analytics. SaaS offers various advantages, including cost-effectiveness, scalability, and accessibility from anywhere with an internet connection.

Sensors: 

A sensor is a vital device that identifies and measures different physical, chemical, biological, or environmental attributes. It then changes these attributes into electrical signals or other measurable types of data. Sensors have a crucial role in gathering real-world information and offering input to electronic systems, enabling them to observe, control, and react to their surroundings. They are used in various technologies and industries, such as car systems, electronic gadgets, industrial automation, medical equipment, environmental monitoring, and more. Additionally, functions like touch sensing, temperature measurement, motion detection, and light sensing greatly depend on sensor abilities.

Smart City: 

A smart city is an urban area that utilizes various electronic data collection sensors to gather information for efficient management of assets and resources. It is a municipality that incorporates information and communication technologies to enhance operational efficiency, share information with the public, and improve the quality of government services and citizen welfare. Smart cities aim to improve the efficiency of city operations, enhance the quality of life for citizens, and foster economic growth. They are resilient cities that leverage technology to address environmental, social, and economic challenges of the 21st century. Smart city technologies focus on optimization and efficiency, such as optimizing road infrastructure and promoting self-driving cars, as well as fostering social connectivity and collaboration to enhance city usage and minimize waste. These cities strive for sustainable economic development and a high quality of life, excelling in various aspects such as economy, mobility, environment, people, living, and government. Smart cities embrace digital technology, deploying sensors and networks to monitor aspects of urban life, from water quality and traffic to power usage and public safety. They leverage connectivity and computing power to tackle challenges and improve the quality of life for citizens. Additionally, smart cities prioritize sustainability and security, connecting buildings, cars, and machines to constantly transmit data for the betterment and development of the city. They utilize technologies to monitor pollution levels and ensure a safe and healthy environment. Smart cities also offer modern services, such as e-learning education and 24/7 healthcare, to cater to the needs of all inhabitants.

Smart Home

SpaceTech: 

Spacetech, or space technology, involves applying engineering principles to design, develop, manufacture, and operate devices and systems for space travel, exploration, and related activities. It encompasses a wide range of technologies and disciplines, including satellites, instruments, astronautics, physics, chemistry, and biology. Spacetech is crucial for exploring other planets, studying the universe, and enabling communication and navigation in space. It focuses on innovative solutions to address challenges in the space industry, such as lack of equipment reusability, excessive costs, and limited accessibility. This includes advancements in spacecraft design, control systems, power systems, satellites, launch vehicles, and communication systems. Recent developments aim to enhance sustainability and accessibility, such as reusable spacecraft, 3D printing for in-space manufacturing, smaller satellites, and suborbital spaceplanes for commercial space tourism. Spacetech represents cutting-edge advancements that drive exploration, enable the future of space travel, and tackle industry challenges for a more sustainable and accessible space ecosystem.

SportsTech: 

Sports tech refers to the integration of technology and data analysis in various aspects of sports. It encompasses a wide range of technologies and tools that aim to enhance athletic performance, improve training methodologies, and provide a more immersive experience for both athletes and fans. For instance, wearable devices are utilized to track performance metrics, virtual and augmented reality are employed for training purposes, data analytics and machine learning are used to analyze game footage and statistics, and specialized equipment is designed to prevent injuries. These advancements in sports tech are revolutionizing the way athletes train, improving their performance, and creating an engaging environment for fans.

Supply Chain Tech

Therapeutics: 

Therapeutics is a medical field that aims to treat and care for diseases and disorders, with the goal of alleviating symptoms, curing illnesses, or improving a patient's overall health and well-being. It includes various approaches, such as medical treatments, medications, surgical procedures, physical therapy, and lifestyle interventions. Clinical Pharmacology and Therapeutics focuses specifically on the use of medications and drugs in medical treatment. Overall, therapeutics involves a wide range of strategies and interventions used by healthcare professionals to prevent, manage, and treat illnesses, ultimately promoting the health and recovery of patients. 

Threat Intelligence

Transportation

Travel Tech: 

Travel technology, also known as travel tech, refers to the use of technology and digital innovation in the travel industry. Its purpose is to make travel planning, booking, and management easier and more efficient. It encompasses a wide range of technologies, including online travel agencies, virtual tours, and smart luggage systems. Travel tech utilizes emerging technologies like artificial intelligence, big data analytics, and Internet of Things to optimize travel processes and enhance customer experiences. The ultimate goal is to streamline every aspect of the travel experience, making it easier, more efficient, and enjoyable for consumers.

UAV (Unmanned Aerial Vehicle)

Vulnerability Management

Virtual Reality: 

Virtual reality (VR) is a computer-generated simulation that immerses users in a virtual environment. VR typically involves the use of head-mounted displays (HMDs) or VR goggles to provide a visual and auditory experience. It incorporates tracking systems, input devices, and computer software to track the user's movement and allow interaction with the virtual surroundings. VR has various applications in industries such as gaming, entertainment, training, architecture, design, tourism and military applications. It enhances entertainment, creates immersive experiences, and allows for realistic simulations with fewer resources and increased safety and accessibility. VR has many applications and is continually being used in new industries.

Web Security

Web3: 

Web3, or Web 3.0, is the third generation of the World Wide Web. Unlike its predecessors, Web 1.0 and Web 2.0, Web3 is designed to be decentralized and open to everyone. It is based on blockchain technology and Semantic Web advancements, which allow for meaningful connections between data on the web. In a Web3 society, there are no centralized organizations, and individuals own their own data. Transactions are publicly recorded on blockchains that are accessible to everyone. 

Wearables: 

In technology, wearables refer to electronic devices that are designed to be worn on the body, typically as an accessory or clothing item. They are equipped with various sensors, processors, and connectivity features that can collect data, perform computational tasks, and communicate with other devices. Wearable technologies are often used to monitor health, provide entertainment, or support navigation and communication, and usually take form as smart glasses, smartwatches and fitness trackers, wearable cameras, VR headsets, and more. Benefits of wearables include greater convenience and accessibility, increased connectivity and communication, and real time personalized feedback based on the user’s data.

Wellness:

Physical, emotional, social, spiritual, and intellectual wellness are the five major dimensions of personal health. It is critical that none of these aspects be overlooked in order to be termed "well." Wellness technologies encompass a wide range of tools, equipment, and software applications that promote the user's overall health and well-being. Fitness trackers, meditation applications, telemedicine, virtual care and online wellness coaching platforms, and nutrition apps are all examples of wellness technology. Wearable technology, virtual reality, big data analytics, and other technological applications are used in these services to encourage a balanced and healthy lifestyle for all users.