Through pattern detection, machine learning is already transforming business processes by making sense of and automatically capturing and filing incoming content. Yet it is only when intelligent process automation is applied with broader enterprise context that global businesses will experience the full value of artificial intelligence, argues Dr John Bates, CEO of SER Group.

Initially, content management sought to separate technical tasks -- like website launches -- from editorial tasks, like information updates. Web administrators and IT support staff also needed easy ways to hand off routine chores, like webpage maintenance, to nontechnical users, which content management made easier. Over the years, aspects of content management have evolved, including types of content and required skills, relevant tools and storage. Content management continues to support two audiences: technical professionals and line-of-business users. Yet, content has evolved from information on static webpages into dynamic experiences across multiple devices, business channels and customer touchpoints.

Enterprise content management (ECM) technologies assist businesses in maximizing the value of structured and unstructured data. These systems are also known as Content Services Platforms, owing to their expanding breadth (CSPs). Most ECM systems still use rules-based techniques to extract, categorize, and enrich data, even though they used previous artificial intelligence technologies no longer labeled AI. Companies can execute standard ECM or CSP applications in a more automated manner with greater levels of compliance thanks to developments in artificial intelligence, machine learning, and intense learning. Traditional ECM firms are creating AI skills to catch up as new vendors emerge to supply these capabilities.

Artificial intelligence (AI) is eating the world, one boring, routine task at a time. From navigation apps using AI to crunch a bunch of data at a super-fast speed to determine the best and fastest route from A to B, or automatic spam filters and categorizations that make email more manageable, AI is truly ubiquitous. It was only a matter of time before AI applications in the content management space arose. And when it comes to content ops, the combination of content management and artificial intelligence is a great tool for giving workers back the time they need to perform more complex tasks that still require a human brain. This is typically orientated towards objectives of improving consumer experiences, saving the time and money invested in routine processes, and even exposing patterns that can uncover new revenue opportunities.

Artificial intelligence (AI) is eating the world, one boring, routine task at a time. From navigation apps using AI to crunch a bunch of data at a super-fast speed to determine the best and fastest route from A to B, or automatic spam filters and categorizations that make email more manageable, AI is truly ubiquitous. It was only a matter of time before AI applications in the content management space arose. And when it comes to content ops, the combination of content management and artificial intelligence is a great tool for giving workers back the time they need to perform more complex tasks that still require a human brain. This is typically orientated towards objectives of improving consumer experiences, saving the time and money invested in routine processes, and even exposing patterns that can uncover new revenue opportunities.

RPA technology, sometimes called a software robot or bot, mimics a human worker, logging into applications, entering or consuming data, calculating and completing tasks, then logging out. Use case example: As a virtual account analyst, a software robot takes a bank application form, logs into a credit check site, a background check site, a known terrorist database, and a criminal database, collecting results and snippets and automatically building a background profile on the applicant for final review. IPA is the application of artificial intelligence and machine learning to process technology to create an enhanced solution. The technologies included in an overall solution might be RPA, BPM/Workflow and the use of image recognition and machine learning. UI Path defines 6 distinct categories of Intelligent Automation skills that can be leveraged in RPA shown in the graphic below.

For too long, we have drawn an artificial line between content and data, as well as between unstructured and structured information. This approach has the unfortunate effect of relegating content to a secondary status – a business area that represents a complex problem to solve (or live with) rather than an opportunity to exploit. By most estimates, content – or, if you will, unstructured information – represents more than 80 percent of all information. More importantly, almost all human-generated information is content. Content literally provides the basis for how the modern enterprise conducts its work. Content is how we communicate, and collaborate with one another.

Photo Credit: evenkolder Flickr via Compfight cc Launching a startup comes with a lot of difficulties and could prove very unnerving. You definitely will want to come up with lots of content and managing this will cost you a lot in financial and human resources if done manually. You must by now be used to different types and forms of content management systems (CMS) workflows. However, the integration of AI will enhance an upgrade of your CMS workflows resulting in the optimization of your content creation, bring about the streamlining of your content preparation, and eventually play a big role in the improvement of much-desired customer experience across multiple channels. All you have seen of AI and machine learning may just be the tip of the iceberg.

The benefits of machine learning and other forms of artificial intelligence can prove a boon to your content strategy.

For some time now, industry prognosticators have hyped Artificial Intelligence (AI) and Machine Learning for their transformational potential. The possible use cases for AI are so broad, and their potential value to the enterprise so significant, it's easy to dream the day away imagining AI-powered robots managing all of our challenging (and tedious) tasks. To get a sense of how AI is driving the evolution of content management, it helps to understand where things stand now. Organizations are drowning in content, which is often stored across multiple systems that don't talk to others. Research validates the pain organizations are feeling.