Gone are the times when nearly everything was done manually, and now we are living in a time in which a lot of work is taken over by software, machines, and various automatic procedures.
In this aspect, artificial intelligence (AI) – the science of machines and computers developing intelligence like humans.- has a prominent place in all the progress made today. This is namely due to the fact that technology has enabled us to power machines to do some of the easy to complicated things that humans need to do on a regular basis.
There are distinct kinds of artificial intelligence, each needing some amount of technical knowledge to completely understand. As a result, recent players in this area frequently have difficulty figuring out how to jump in.
However, although cognitive technologies like robotics, natural language processing, machine learning etc, may seem difficult to deal with, getting started with them is getting easier all the time.
For instance, many vendors have entered in this field with their offerings providing choices for any organization who want to make their products or processes smarter, because you can introduce these technologies in various ways into your company.
Utilizing an existing vendor’s software with cognitive abilities is one of the ways in which these technologies can be introduced into your company, with Oracle and Salesforce.com both recently announcing that they’re adding cognitive abilities to their products.
Salesforce is adding features of Einstein to its client facing software clouds, including the capability to classify images utilized in social media, read emails from clients, and automatically score sales leads.
So, if you are already utilizing Salesforce customer relationship management (CRM) offerings and wish to ease into more intelligent processes for services, marketing, and sales, this seems like one of the simplest ways to do it.
Alongside this, chatbots are a medium-level cognitive technology that utilize natural language conversation for interacting with applications. Facebook (Messenger Platform), Microsoft (Cortana), Apple (Siri) and Google (with the recent acquisition of API.AI) have platforms for developers for deploying their chatbots. Thus, if your business is focused particularly on mobile, where consumers seem inclined toward chatbots, you might dive into cognitive technology by picking one the APIs of those companies and connecting your applications to it.
These user interfaces will surely evolve with time, but it is a wise idea to begin working with them now in the event that you would like to take advantage of easy voice interaction.
You might even make an existing application more autonomous or smarter because, using component-based, modular architectures, it’s possible to add cognitive approaches to applications.
Another way is to build from the open source software. Yahoo, Amazon, Facebook, Microsoft, and Google have all released open source deep learning or machine learning algorithm libraries. For example, TensorFlow is an open source machine learning library developed by Google for the purpose of high-performance numerical computation.
The development of a cognitive solution from scratch using open source tools can take longer than it usually takes for a few of the other options. Hence, this point of entry only makes sense if your organization has very critical needs and is in favor to make a long-term commitment to developing cognitive capabilities. Probably, it is a better approach if you plan to incorporate cognitive features into your service or product.
So, as demonstrated by the above examples, there are now copious ways for the average organization to implement cognitive technologies into their day-to-day process. It’s definitely good that there exist several options, but when organizations decide to incorporate cognitive technology into their strategies, they must still think hard about which one they plan to pursue.
One of the areas where AI is of particular interest is content marketing. As you might know, content marketing is defined as a marketing approach which involves development and distribution of relevant and useful content on a consistent basis in order to communicate with existing customers or audiences and to engage with new ones.
Already, artificial intelligence plays a crucial role in the content marketing field, helping to make the processes more effective at a time of massive content overload.
It is helping marketers perceive the content marketing universe by examining the data of users and enabling marketers to make sense of user intent.
AI might not be ready to boss every element of the marketing game just yet, but it’s a fast learner. The days in which machines market to people, monitor campaigns, analyze the data and use it to become even better at marketing to people are fast approaching. Therefore, understanding what artificial intelligence can do to content marketing is crucial for marketers who are willing to accept it.