There are more than 100 platforms and tools in machine learning content creation. We did an analysis into 11 categories to figure out which ones are commonly used for their popularity and open source options. The list is updated in February 2018.
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How Many Machine Learning Content Creation Tools 2018
Self-creating and organizing content may seem like something out of a science fiction movie but advances in AI and ML make this, and other exciting advancements, a reality for brands now and in 2018. SDL’s Five Future States of Content report looks at where AI and ML are set to make the greatest impact in the way content is securely created, managed, translated and delivered to global audiences. The Five Future States of Content (register here for report available in January) include:
1. The demand for content is too high to keep pace with: Content will create itself
In his book “The Grand Design,” world famous physicist Stephen Hawking argues that the universe can create itself out of nothing. But can the same be said about content? Thousands of writers would be needed 24/7 to create all the content required to power future digital experiences. Breakthroughs in AI and ML mean that in 2018 it will become possible for brands to automatically generate finely-tuned content from information stored in a variety of repositories across their business – giving every customer their own, truly unique experience.
2. The amount of content is too overwhelming to manage: Content will organize itself
Creating content is only one of the many applications that Machine Learning is capable of. Brands will begin to use Machine Learning to create taxonomies of all their company’s content, summarizing and tagging it to facilitate better search results through content management systems, improving metadata and optimizing SEO, and enabling other enterprise systems to automatically discover existing content. This will maximize reuse and return on already invested content creation efforts and help form the next frontier of digital experiences.
3. The waterfall methodology has dried up: Content will be agile
With the future of content creation and organization being accelerated by AI, content will need to be structured and formatted so that it is machine ready. SDL predicts that the old waterfall approach to creating and delivering content will become obsolete in favor of a continuous global content operating model. We’ll see more companies adopt this approach in 2018, enhancing global content and localization teams with AI and ML capabilities, like authoring tools and machine translation, to create and deliver engaging content at an extreme scale in response to our fast-paced society.
4. The customer decides before they ever talk to your salesperson: Content will become your best seller
Brands are already shifting their sales priorities to focus on content creation rather than just selling. That’s because salespeople spend just one-third[i] of their day actually talking to prospects, and content never stops talking. SDL expects the creation, translation and delivery of content to become as much of a priority to sales leaders as incentivizing and training sales teams. SDL also predicts that the types of content that sells will expand rapidly beyond the traditional marketing materials into the realm of in-depth product information, a source of information that companies leave mostly untapped today. Our own research supports this trend: more than half (53%) of global customers are now consulting manuals, FAQs and technical content to learn more about a product before purchasing.
5. Content is your biggest security risk: Content will be secured
Upcoming legislation, including Europe’s General Data Protection Regulation (GDPR), means that businesses will need absolute control of customer information. They will need to provide transparency, a full audit trail and complete data custody come May 2018. But companies outside Europe are failing to prepare, and we expect some big brands to be quickly hit with fines of up to 4% of revenues. In order to organize and secure high volumes of data in 2018, brands will turn to on-premise ML technologies to translate, analyze and automate their content supply chains.
“Content that creates itself, organizes itself, and scales globally with ease all sounds like the stuff of imagination,” said Peggy Chen, CMO, SDL. “But the rules of content and marketing are changing in 2018, and the emergence of new AI and Machine Learning technologies are powering this seismic shift. Smart companies know that this is the future they must prepare for if they’re going to thrive in the years ahead.”
SDL’s Five Future States of Content are based on 15 years of research and development into Machine Learning, translation and content management technologies, over 45 patents and 200+ peer-reviewed industry papers – providing unparalleled insight into the ways ML and AI are set to transform content creation and delivery in 2018. Pre-register here for the Five Future States ebook available January 1, 2018.
automated content creation

Success with content marketing requires the production of articles, blogs, or any type of written word creation and management strategies. With so much data hitting the web, marketers need effective ways to generate good information in the least amount of time. Content marketing automation is proving to be a better means for doing this. By using convenient automation software, you can create articles, blogs, and pages that get results.
The Role of Content Is Changing
As online marketing is getting more competitive and the internet is flooded with more information, the role of printed text on a website is quickly changing. To attract the right attention and be functional as a tool, articles and blogs on a website must be superior and adaptable.
It has become impossible for any content marketing strategy to be competitive through volume alone, even when using marketing automation software designed to keep sites updated. Information must have the capability to be scaled, repurposed, and recirculated to appropriate audiences. One of the best ways to achieve this is to incorporate content marketing automation into the creation process.
How Automation Benefits Content Creation
When used effectively, automation involves more than just scheduling when and where your articles and blogs will post. Your entire creation process can be more practical when you automate in the right ways:
- Create Intelligent Content – The future basis of content marketing lies in the production of intelligent blogs and articles with information initially structured to serve multiple purposes. A modular production strategy allows continued use of the same high-quality information in different ways as opposed to regenerating new pieces for each separate posting location. The main factors in the ability to achieve this are careful planning and management, which can be done using the various tools included in content marketing automation software.
- Scale As Needed – Automation facilitates scaling information to fulfill various needs. By following an intelligent and modular creation structure, you can deliver the same content in various ways knowing that it meets individual specifications. Handling things like meta tags, keywords, semantics, topics, and customization as an automated, structural format makes it easier to reinvent your information in different formats. You can increase the scale of your marketing plan by publishing more pieces with less effort than when attempting to generate all of it as completely original.
- Personalize and Engage – Modular and intelligent content strategies give you the freedom to personalize each of your blog or article versions for delivery to specific audiences. Distribution by viewer-preferred methods increases viewer engagement and improves the effectiveness of your marketing strategy.
- Productive Repurposing – Content marketing automation applications make it easier to manage and update information that can be repurposed for redistribution within the program. By manufacturing new pieces from existing modular information, the process of keeping relevant, quality information posting to your various channels is simplified. Handcrafted content designed to serve your brand’s purpose can be modified to post according to audiences, schedules, and even to generate new interest in ideas that are still relevant.
What content marketing pros must realize is that success now depends on the smart use of their time and website text, not just pumping out more information to deliver. Content marketing automation software provides you with the resources necessary to generate modular information that can be manipulated to manufacture a larger variety of high-quality articles and blogs using the same handcrafted base content.
Even smaller companies will appreciate the benefits possible when generating high-quality marketing pieces through the use of content marketing automation!
Conclusion
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