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Since most cryptocurrencies are not yet regulated by a central authority, crypto owners cannot store their currencies in traditional bank accounts. Thus, cryptocurrency wallets (or crypto wallets) were developed.

These wallets generally come in the form of either software or hardware—also called hot or cold wallets. Hot wallets connect to the internet and allow the owner to both receive and send crypto tokens. Cold wallets, on the other hand, do not connect to the internet. For this reason, hot wallets have more security features than cold wallets.

Language revitalization refers to the process of bringing a dead or dying language back into common usage. It is also called language revival, although many believe the term “revival” should only apply to dead languages and “revitalization” to dying ones.

Language reclamation is a related concept and frequently occurs together with revitalization/revival. However, it refers only to the process of a population reasserting its right to speak its language.

As organizations continue to adopt IoT technology, ensuring secure access to a private network becomes particularly difficult. Network access control systems, however, protect network data by requiring user authentication and authorization before every request.

These systems also proactively address security breaches, though many also integrate with anti-virus or malware systems that organizations already use.

Network segmentation refers to the act of dividing different parts of a network into separate segments or subnets. This is done either physically or technologically, usually as part of a network access control system that limits who can access what parts of the network.

Once organizations have identified subnetworks, they establish virtual fences around them using a variety of techniques, including VLANs, SDNs, and firewalls.

An e-learning course enables people to learn material at their own pace, with no instructor present. Machine learning programs optimize learning with supervised, unsupervised, semi-unsupervised, and reinforcement methods.

While individuals use these courses the most, the highest-paying customers include higher education institutions and corporations.

Of note, although the term is often used interchangeably with “distance learning” or “virtual classroom,” these terms refer to a learning environment overseen by a professional educator. E-learning is self-directed.

A distance learning course refers to online education method where students learn at their own pace but also have the benefit of teacher instruction.

Interest in distance learning has spiked massively over the past year, due to worldwide lockdowns forcing in-person educators to change tactics, so there is more data than ever on this subject. Often, the term is used interchangeably with “e-learning” and “virtual classroom” although there are important differences. E-learning, for example, refers to self-paced study without the instruction of a teacher or set study times. A virtual classroom, on the other hand, has a teacher overseeing students and a set class time.

A cybersecurity posture is essentially the total procedures, policies, and services that an organization uses to defend itself from cyber attack. Companies evaluate their security risk then develop policies, employee training procedures, and, if they have the resources, malware, virus, and other threat detection services, focusing on their most vulnerable assets.

In short, a cybersecurity posture describes an organization’s cyber threat readiness and identifies areas where this readiness can be improved.

At heart, a virtual classroom is simply a class that meets virtually. In comparison, distance learning and e-learning classrooms are self-paced, requiring no set meeting times.

While virtual learning sounds simple, it does come with a number of unique challenges, especially for children.

Artificial intelligence has opened new language acquisition pathways for learners and teachers. These programs allow any learner, anywhere, to receive personalized lesson plans and feedback. When part of a classroom (virtual, physical, or mixed), AI language learning programs help teachers assess student progress.

Companies post content to their websites, newsletters, and social media accounts based on social media metrics that indicate when posts receive the most engagement. This engagement varies by social media site, industry, content type (promotion, article, etc.), and the time of posting: post engagement varies by weekday and even time of day. A content calendar, then, is the scheduling of content publication to increase engagement and conversion.

Companies also schedule site maintenance on these calendars, to ensure they only occur during times of least engagement.

Other terms for content calendar include editorial calendar, social media posting schedule, and other variations of these. An editorial calendar, however, focuses on content planned for company-managed websites plus social media accounts. Social media content schedules, on the other hand, focus on social media posts, as the name indicates.

The online fitness industry consists of videos, video-based classes, personalized coaching, wearable technology, and more. An online fitness program uses data generated by users themselves to create a custom fitness coaching experience.

Online fitness has experienced a massive growth over the past year with lockdowns and is likely to stay very popular.

Price segmentation is the practice of offering the same products or services for different prices based on who is paying. Examples of a price segmentation strategy include loyalty cards, coupons, and student or senior discounts.

Content, whether in the form of a video, a newsletter, an ad, or anything else, needs to reach the target audience at the right time to make an impression. A good content distribution strategy, then, finds the best ways to provide content to audiences.

Content distribution involves using at least one of a number of distribution channels: paid, owned, or earned. Paid distribution channels include advertisements; owned channels include company newsletters or websites; earned channels include shares and reviews.

Chatbots answer customer visitor questions or requests. While many rely on command-based functions, the better AI chatbots use artificial intelligence, especially NLP (natural language processing), and sentiment analysis.

Occasionally people refer to these bots as AI assistants, conversational interfaces, conversational agents, or even chatterbots.

Share of voice (SOV) refers to the amount of engagement your brand receives within your target market. It also specifies the sentiment behind the engagement—that is, whether people feel positively or negatively about your company.

Competitor analysis is the process of understanding your competition in order to succeed in the marketplace. With a proper competitor analysis model, you can benchmark your progress against more established competitors, identify your target market, and even anticipate new products or services from your competition.

Everyone wants more leads, but the more we are able to generate, the harder it becomes to identify which of them are actually worth the time and effort spent in order to try to convert them. Lead scoring models let you automatically rank your leads in order of the perceived value each lead represents to your company. Resources for marketing and sales can then be distributed by the priority determined by lead scoring.

Customer lifetime value (CLTV) is the expected profit that a single customer brings to a company over the course of their lifetime. CLTV represents a shift in emphasis from quarterly or annual profits to the long-term relationships with customers.

Most if not all companies and organizations seek to establish themselves in social media platforms such as Facebook, Twitter, and Instagram in addition to their official website. Online and social media performance tracking is meant to analyze the effectiveness of a company’s social media presence. Are they generating new leads? Are they promoting brand awareness? These questions are important to assess the efficiency of the use of these social media platforms.

An online recommendation engine is software that analyzes available user data to generate suggestions for something the user may also be interested in. Such engines are used in an advertising capacity to promote products or services or for the purpose of recommending similar content to the content the user has consumed in the past, such as in streaming services and online shopping services.

As opposed to customer segmentation which divides the market into groups based on demographics and purchase history, persona detection and segmentation creates more personal profiles in order to better understand potential customers using information about behavior, attitude and personal journeys.

In the current era, consumers expect the firms they engage with to provide personalized service and offers. They believe that companies have the technological tools to analyze their specific needs and can perform this task with minimal effort, so businesses should develop such ability.

One may imagine that this kind of mass operation will need some resources and financial investment but by implementing artificial intelligence and automated processes, this capability can be readily available for any business.

Traditionally, personalization was focused on a set of rules based on existing data. The firms used to collect data in advance without any consideration for real time data but now better and much faster results can be obtained by using AI that allows businesses to conduct profiling and real-time analysis to optimize each conversion. This process is defined as Predictive Personalization and is driven by Machine Learning.

Promotional planning is the process of optimizing marketing tools, strategies, and resources to promote a product or service to generate demand and meet set objectives. Artificial intelligence (AI) can be used to effectively plan promotional events, measuring their outcomes, and adjusting as necessary to achieve growth.

The abundance of job seekers nowadays leads many companies to use machine learning throughout their recruitment process. Some examples of this can be found in the fields of talent management, talent attraction, and candidate selection.

Talent management entails understanding the best fields, positions, and backgrounds to set talent up for success. Talent attraction selects the top outlets and channels for attracting the most suitable employees. Finally, candidate selection use neuro-linguistic programming (NLP) tools on CV’s to find suitable candidates.

Remarketing campaigns show ads to people who have visited a business’s website or downloaded one of its apps. Remarketing is designed to get potential customers who have shown interest in your product or service to recall your business and their intent to buy, therefore enlarging the odds of them converting.

Nowadays, the abundance of data and the advances in Machine Learning and big data applications reduce the need for top-down segmentation of customers. Smart customer clustering based on many commonalities help companies better address customer needs to provide the right experience and divide resources efficiently.

Brand awareness is the degree to which a customer is able to recall and recognize your brand. Brand awareness is critical for promotion and marketing, especially for a young company. High brand awareness can result in a company becoming very popular or “trending.”

Behavioral targeting is the process of marketing to people who are most likely to use your products or services based on their demonstrated behavior. This behavior may be online (for example, keywords searched, websites visited) or offline (location tracking data, for example).