Don’t miss this Friday’s live screening of “AI Goes From Disruptive to Imperative: Publishers overcoming hang-ups and getting real with intelligent automation.” So much more than a webinar, this week’s live chat gives audience members an opportunity to interact with movers and shakers in AI who will explore exactly what can be gained by wider adoption of AI-powered solutions into editorial and production workflows. Register now and receive exclusive access to join the speaker chat.
According to a report by Grand View Research, the global Artificial Intelligence (AI) market is currently valued at $39.9 billion and predicted to grow 42% year over year from now until 2027. AI and machine learning are all around us—from online shopping and customer service to predictive texts and emails to streamlining workflow in industries from healthcare to finance. And yet, in academic publishing, AI is still in early stages of implementation.
Last fall, Unsilo released the results of a survey of academic publishers on their current and expected use of AI. While over two-thirds of publishers are using at least one AI tool, a vast portion of respondents weren’t entirely sure what the tool was used for. Those who are not using AI tools cite a variety of reasons for not using them, including not enough AI-trained staff, not sure of the benefits of AI, and the cost of implementing these systems and tools.
For the Society of Scholarly Publishers OnDemand Video Content Library, we participated in a panel discussion entitled, “AI Goes From Disruptive to Imperative: Publishers overcoming hang-ups and getting real with intelligent automation,” where we invited movers and shakers in AI to highlight why researchers and publishers must embrace the technology now in order to remain competitive.
Alongside me speaking for Cenveo, the session features Josh Nicholson, Co-founder, and CEO, scite.ai; Niels Peter Thomas, Managing Director, Books, Springer Nature; and was moderated by Erin L. Cox, US Publicist, Frankfurter Buchmesse, all describing real-world use cases of AI in scholarly publishing.
How publishers have increased efficiency, improved author satisfaction, and expanded their publishing output after implementing systems that focus on language analysis and copyediting
How machine learning can help researchers discover more useful content and understand if those articles have been cited and supported or disputed
What the future of publishing can look like when the industry embraces this technology, including the story of the first machine-generated book
The OnDemand recording of the panel discussion was released on August 31. Session speakers will be present to chat with attendees and answer questions during a live screening this Friday, at 11:00 am EDT.
Don’t forget to check out the Professional Development series program for other presentations available from SSP. Package discounts are available and additional live screenings are planned so register for your favorites now! SSP members save even more with their member discounts!
This item was originally published by SSP member, Mike Groth of Cenveo Publisher Services, on August 28, 2020.