its end objectives are naturally no different from the objectives that marketing has always had. It can be easy to set digital objectives based around ‘vanity metrics’ such as the number of ‘likes’ or followers, so it is useful to bear in mind this definition of marketing...
Growth potential –A budget that’s flexible will enable businesses to further expand their strategy into areas they cannot reach. Types of Digital Marketing Digital marketing is an umbrella term that encompasses a wide variety of strategies, each of which serves its distinct purpose. Here is the...
It is a supervised machine learning algorithm used for classification tasks. It’s a simple and intuitive algorithm that operates based on the principle of similarity between data points. In KNN, the idea is that similar data points tend to have similar labels or outcomes. 1.3. Logistic Regressi...
Its decentralized nature requires some method for verifying the authenticity of data. That method is aconsensus algorithmwhereby participants in the blockchain reach agreement on the current state of the ledger. Proof of work and proof of stake are twocommon consensus methods. A public blockchain ...
Regardless of whether an organization already has IoT devices in use or if they're considering adopting IoT devices, they should ensure they're prepared to handle the unique security challenges presented by IoT devices. IoT device trends and anticipated growth ...
Today’s classical computers are relatively straightforward. They work with a limited set of inputs and use an algorithm to spit out an answer—and the bits that encode the inputs do not share information about one another. Quantum computers are different. For one, when data are input into ...
specific function). Finally, traditional AI is almost always trained on labeled/categorized data using supervised learning techniques, whereas generative AI must always be trained, at least initially, using unsupervised learning (where data is unlabeled, and the AI software is given no explicit ...
Deep learning is a particular branch of machine learning that takes ML’s functionality and moves beyond its capabilities. With machine learning in general, there is some human involvement in that engineers can review an algorithm’s results and make adjustments to it based on their accuracy. Deep...
Investment in encryption is growing as individuals and organizations face escalating threats and cyberattacks. According to recent estimates, the global encryption software market will reach USD 20.1 billion by 2025, with a compound annual growth rate of 15.1 percent from 2020 to 2025. Also, artifici...
When AI’s abilities are indistinguishable from those of a human, it will have passed what is known as the Turing test, first proposed by 20th-century computer scientist Alan Turing. But let’s not get ahead of ourselves. AI has made significant strides in recent years, but no AI tool ...