If you’re considering writing sports stories with the help of Artificial Intelligence, you’ve probably already gotten a feel for how it works. You’ve probably seen some demos and read a few articles, but it’s never been easier than it is today to use AI to improve your sports writing. With just a few clicks, you can easily access a program that will analyze your texts and give you feedback on how you can better write. It can even give you suggestions for how to change the story for a more effective result.
Sports teams are integrating technology into their stadiums to capture data and make better decisions. Using machine learning, data-driven decision support systems can provide real-time recommendations to coaches during games, helping them to make more effective decisions. These automated platforms can also give fans a personalized experience, with content tailored to their preferences.
Data science has been used in sports for decades, enabling coaches to take advantage of their team’s weaknesses and develop untapped talent. Coaches have also been able to use big data to quickly make split-second decisions on the field. The proliferation of data in sports is driving deeper sports coverage. However, teams must figure out how to best apply that data to their specific situation.
Automated Insights is an artificial intelligence company that creates individualized sports content. They recently partnered with STATS, one of the largest sources of sports information, to explore new avenues of sports analysis and coverage.
Using their Wordsmith natural language generation platform, Automated Insights can automatically write stories that are based on quantitative data. Since November, the company has generated over 100,000 articles. They are able to process sports data into summaries and narratives, and even produce video recaps of sporting events.
The Associated Press (AP) has been using automation for its sports reports for several years. This year, the company began using automated recaps of NCAA men’s basketball games. And soon, they will be writing recaps of over 5,000 regular season games.
It is a major step forward in the application of data. It is also one of the fastest-growing areas of business. Typically, media companies see automated content as a way to save money.
The technology behind automated sports content could be transferable to other data-driven industries. For example, the software behind creating individualized sports content may eventually be used in finance and real estate.
The company’s technology is generating headlines, reports, and summaries that are written by algorithms and are distributed through social media and other digital channels. This technology can now help media companies handle the rapid evolution of sports data.
The 17 year old Argentinian news outlet has taken to using AI to the hilt. Its latest endeavor is an interactive newsletter for 19 local departments. They also have a decent sized newsroom. One reporter is tasked with the task of covering sporting events in and around San Juan. For the uninitiated, the best way to go about this endeavor is to enlist the aid of an artificial intelligence whiz. This isn’t to say that all AI’s squish the human libbies, but it does mean that the most innovative of the bunch is likely to be the best. To this end, they’ve devised a list of the more eligible. Among these are an elite handful of aficionados. If they’ve found their true calling, they’ll be in good stead for years to come.
Workshop on non-fictional texts in French, English and German
A recent workshop at Oxford University’s Faculty of English explored the technical details of non-fictional texts in French, English and German. Students compared comics like David Vandermeulen’s Sapiens: A Graphic History to the works of Aurel’s Singes. The most entertaining part of the exercise was the plethora of nerdy questions and rebuttals raised by a group of enthusiastic students. It’s worth noting that these students were selected based on a rigorous application process, namely, the most qualified applicants were those whose academic credentials were of a high order and who had demonstrated a willingness to take the requisite risks.
The best part of the exercise was the opportunity to delve into the nitty gritty of the production processes and technologies that enable us to read a book. There were many worthy topics discussed, but a few standouts, such as the use of metadata in the production of literary works and the creation of digital versions of literary works. These two areas are inextricably intertwined and both are important to the future of our language.
While it’s not surprising that the technical specifications of a particular book are important, the most pertinent information to be gained is the way in which we can use these specifications in the service of an imaginative narrative. This is a subject matter that is increasingly relevant as the human race continues to evolve. For example, despite the ubiquity of smartphones and other mobile devices, a large proportion of our human population still relies on pen and paper for a number of tasks. This presents a real challenge to writers and publishers. Fortunately, the digital age has provided some hope. Moreover, we are able to harness the resulting linguistic and lexical innovations to generate new and interesting stories, as well as to provide a platform on which to share and learn from others. As such, the next two days will be devoted to discussing, analyzing and synthesizing the various aspects of this exciting genre. To that end, we’re looking forward to the upcoming event, to be held at the Oxford Faculty of English on 23 and 24 October 2018. During this time, we’ll also delve into the nuances of literary translation and literary production, the many entrants, and the pitfalls of literary obscurity.