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.
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.
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.
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.
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.
Employee onboarding refers to the process of welcoming and training new employees. This includes setting up their details in the HR system, providing them with security clearances, training them in the company’s policies and the duties, and integrating them into the social life of the company.
Survey after survey shows that effective onboarding is crucial to employee retention and company reputation, but few organizations set up a well-planned, data-based system.
Machine learning models, referred to as EHRs (electronic health records) or EMRs (electronic medical records), help clinicians better manage patient health records through population management, diagnostics and smart documentation. Clinicians also use these models to perform other clinical tasks.
Fair trade certification is the confirmation from an official organization that a product was produced and sold according to fair trade principles: mainly, fair compensation to farmers for their labor.
Additional goals of fair trade networks include environmental sustainability and women’s empowerment.
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.
A large proportion of data breaches come from authorized network users. Since they have network privileges, however, this type of cybersecurity threat is extremely difficult to address. Insider threat detection comprises the methods and technologies that organizations use to identify and mitigate these insider threats.
There are various types of insider threats, not all intentional or malicious. Pawns, for example, are simply victims of phishing or other social engineering traps while Goofs lost confidential data due to ignorant or arrogant flaunting of security policies. The malicious types of insider threats come from Collaborators and Lone Wolves, who are rarely encountered.