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Agencia EFE has begun implementing innovative AI-driven solutions, including supervised prompts for generative AI to ensure economically sustainable operations, as well as the automatic generation of descriptive texts from images and photographs. These advancements are enabled by a well-regulated and carefully managed AI framework, reflecting EFE’s commitment to responsible and efficient content production.
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The RAG system architecture integrates a retrieval layer with a generative model, but this adds complexity and can slow response times, especially in real-time applications. Training and fine-tuning require careful alignment between retrieved information and generated text, with challenges in ensuring relevant data retrieval and preventing hallucinations in responses. Balancing accuracy and latency is a key concern when deploying such systems at scale. Evaluating performance involves optimizing both the quality of retrieval and the fluency of the generated output, which can be resource-intensive. While RAG shows strong potential for use cases like personalized content and fact-checking, scaling these solutions while maintaining speed and accuracy remains a significant challenge in practical applications.
As AI-generated content proliferates, newsrooms are increasingly challenged by the spread of misinformation. Sophisticated AI tools are being used to create deepfakes, synthetic news, and other misleading content. This session will explore how AI can be leveraged to detect and combat false information, including the role of machine learning in identifying misinformation and verifying sources. How are newsrooms coping with the flood of AI-generated disinformation and extreme views, while maintaining accuracy and public trust? What steps are newsrooms taking to educate audiences, rebuild trust, and engage news avoiders in an era dominated by AI-driven content?
Join RTVE’s exclusive presentation, hosted and sponsored by Cires21, with Alejandro Vega (Digital Transformation Head) and Urbano García (Innovation and Digital Digital Director), as they unveil RTVE’s pilot, in-production, and upcoming AI initiatives. This session will describe key initiatives in place and areas of innovation and how RTVE is strategically being structured to meet AI requirements, including regulatory standards, ensuring both innovation and accountability. Don’t miss this insightful exploration of RTVE’s AI-driven future!
Many talk about the future potential of AI, but what can we do here and now? VG and its parent company Schibsted, one of the leading media organizations in Scandinavia, have developed nearly 30 internal AI tools and use AI to analyze news cycles, as well as their own AI analysis tools to process VG’s internal data. Moving from being a digital-first organization, VG and Schibsted are well on their way to becoming an AI-first news organization, with ongoing AI projects in every department, from sports and celebrity news to investigative journalism.
Join us for a conversation with Senior Editor for AI Strategy and Innovation Phoebe Connelly on how The Washington Post is using AI to build products that delight users and improve how our newsroom reports and delivers the news.
One of the most promising and common uses of generative A.I. in media is for summarizing information. Machine-generated summaries can help reach new audiences and produce the news more efficiently, but condensing information is an art, and a lot can be lost in the process. We’ll discuss summarization in detail and explain how The New York Times is thinking about these questions, too.
With AI-driven technologies like Apple Intelligence incorporating summarization throughout their operating systems, this talk is essential for anyone interested in the future of media.
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Agents represent the natural evolution of conversational AIs in the automation and streamlining of processes.
While each agent’s potential comes from being a conversational AI designed with specific objectives and skills (akin to those of a human in a defined editorial role), the real breakthrough happens when multiple agents are integrated into a collaborative team that works autonomously to achieve its goals.
What is the key to unlocking the vast creative potential of these agent teams? One thing: communication. It all lies on how the human designer establishes effective communication protocols between the agents within the team.
In this session, presented by Nacho Delgado of Unidad Editorial, we explore how artificial intelligence is transforming journalism, with a focus on the tools and practices used by UE. We will analyze how AI responds to the growing demand for immediacy and agility in newsrooms, enabling the transition from paper to digital, and improving SEO and social media optimization. We will discuss the creation of new teams in newsrooms and how AI supports content creation, strategic decision making and the personalization of data-driven editorial strategies. In addition, we will show how Marfeel Copilot+ and other solutions allow to reduce development and analysis times, improving editorial planning and content performance.
AI integration in organizations demands a fundamental restructuring of team governance. In this session, we’ll explore how AI influences decision-making, role allocation, and human-machine collaboration. We’ll also discuss the concept of organizational “rescaling,” analyzing strategies to efficiently and flexibly scale teams in response to the new dynamics introduced by AI.
The widespread adoption of generative AI represents the most significant technological transformation in the media industry since the advent of the Internet. Ingrid Verschuren, Head of Data and Artificial Intelligence at Dow Jones; Clara Ruipérez de Azcárate, Director of Legal Strategy for Content, Trademarks, Patents, and Digital Transformation at Telefónica; and Francisco Asensi Viana, Director of Strategic Alliances and Innovation at DeAPlaneta Entertainment, will discuss the opportunities and challenges that AI brings to the media landscape in this new era.
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How to use AI in the publishing workflow? This workshop offers a comprehensive view of how algorithms are redesigning the way audiences consume information. From automating processes to improving the user experience in CMSs, real-world examples of AI adoption in the publishing workflow will be showcased. Through their participation, attendees will receive resources to assess the state of their newsroom’s digital transformation and implement effective technology solutions for journalism.
As AI becomes more integrated across industries, journalists must deliver coverage that is accurate, accessible, and balanced. This session will discuss how to highlight AI’s real-world impact, while finding the right balance between optimism and skepticism—steering clear of overly dystopian or utopian narratives.
The transformation of search to a conversational model driven by Generative AI is redefining organic search and the way we work every day, providing more personalized, efficient, and accurate results. We’ll review the changes we’ve embraced thanks to AI in recent months, their benefits, and how to anticipate the future with Generative AI.
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AI has become a fundamental tool in modern journalism, and mastering advanced prompt engineering is key for journalists looking to optimize its use in content creation, research, and fact-checking. This session will explore how journalists can formulate accurate and effective prompts to extract valuable information from advanced generative AI tools and deliver quality results that meet journalistic standards.
How might new AI functionalities and Large Language Models fundamentally reshape the entire information ecosystem? How could the news environment evolve in a future dominated by automated newsgathering, democratised news production, and generative news consumption experiences? What steps should the news industry take to prepare for an uncertain, AI-driven future? How can the news industry adapt to the long-term implications of AI, beyond its immediate use in current journalism workflows and news products?
