Automated Content Production
What you'll learn
- How Automated Content Production (ACP) relates to information reporting, from the journalistic point of view.
- How Big Data is used in Automated Content Production and the part Natural Language Generation plays
- How Automated Journalism works and companies who currently offer the best Natural Language Generation software that facilitates automated journalism.
- The value Automated Content Production (ACP) brings to journalism
Automated News Content Production Using Natural Language Generation, for Non-Technicals, Leaders, Managers, Freshers and Beginners.
Natural language generation (NLG) is a technology that transforms data into clear, human-sounding narratives—for any industry and application.
Top news publishers, content creators, health companies, finance institutions, sports companies, energy companies, oil companies, entertainment companies and many more industries are already using Natural Language Generation to increase the SPEED, SCALE and TIME of creation of content and reports.
Associated Press (AP) once upon a time only had the capacity to produce 300 financial reports a quarter, leaving thousands of potential company earnings reports unwritten.
Today, using Natural Language Generation (NLG), AP produces over 5,000 quarterly recaps, freeing up 20% of journalists’ time that was previously spent on writing recaps. This an almost 15-fold increase over its manual efforts.
Yahoo! Sports uses NLG technology to create over 70 million match recaps and reports and every single one of them is unique.
This increased time spent on page for website visitors, delighting and delivering a massive user base.
Are you looking to turn your data into clear natural language? Are you tired of writing manual reports? Or narrating huge amounts of data manually? Or wondering what the future of Artificial Intelligence (AI) holds for you a content creator, writer, manager, leader, researcher? Then this course is for you.
This course is a single installation of a broader advanced 3-part course called ‘Automated Content Production and News Algorithms’. It consists of 3 modules and 23 learning videos including the transcript and practice questions.
This Part of the course covers;
An Overview of Automated Content Production (ACP) and its techniques especially as it relates to information reporting, from the journalistic point of view.
How Big Data is used in Automated Content Production and the part Natural Language Generation plays.
How Automated Journalism works and companies who currently offer the best Natural Language Generation software that facilitates automated journalism.
Top news Publishers using Automated Content Production (ACP) to create news with minimal human input, and to generate personalized content while increasing engagement.
The value Automated Content Production (ACP) brings to journalism, the potential it delivers, and its limitations, which ensures that humans also play a huge role in the process.
A step-by-step guide on how to use Arria Studio Natural Language Generation Software to automatically narrate data or tell stories from a data sheet.
How algorithms help to facilitate news distribution and are hugely contributing to news consumption.
How news publishers can leverage the power of algorithms to get their readers to keep coming back. News publishers already doing this.
Categorization of algorithms based on the decisions they help us make
The roles algorithms play in determining what we see and do not see. How algorithms act as gatekeepers of information.
Content optimization and audience analytics
How news publishers are optimizing news creation using a wide range of tools that facilitate better content creation.
Content optimization, sentiment analysis and content dissemination, using election as a case study.
You will get 23 videos of learning content with transcript and practice questions
Besides the video materials, there are also transcripts of the videos, and practice questions to help guide and reinforce your learning.
Who this course is for:
- Freshers and Beginners
Blaise Aboh is an Innovation Leader with over 14 years of verifiable experience in Data Analytics, Artificial Intelligence and Product Innovation. In 2020, he started AI Envoy Robotics, an AI research firm to improve public knowledge of Natural Language Generation and AI. He is also a Lead Partner at Orodata Science, a civic technology organization innovating around tools and products that improve public insight into data. He is attributed to the earliest use of Robotic Journalism in his home country, Nigeria. Blaise is a recipient of multiple fellowship programmes and has been featured as a lead speaker and guest at major global industry events.