[GALA Valencia 2024] Who said it'd be easy? Walking the path of resistance to use GenAI in production
Navigating the intricacies of Generative Artificial Intelligence (GenAI) in the enterprise business arena can be a thrilling journey. Our panel, composed of four seasoned technologists and business leaders, will shed light on this topic, steering clear of the technical jargon and diving straight into the practical aspects, good and bad. First, we'll discuss the challenges faced when integrating GenAI into everyday business practices. While cool, flashy, controlled demonstrations can be impressive, turning proofs of concept into real-world settings poses a significant set of complexities. One of the most pressing concerns is trust: can businesses genuinely rely on GenAI when faced with unpredictable scenarios? How are security teams at different organizations handling the impending need for GenAI while protecting system integrity and data privacy? Are there any workarounds? And even when it works, is it consistent and predictably accurate?
We also explore the foundational elements that drive the success of GenAI: the data, technology, human expertise, and processes. Through a series of case studies, our panelists will highlight moments of triumph in enterprise settings, especially within the realm of localization. However, as with any journey, there have been both expected and unforeseen obstacles. We'll share insights on the challenges we've navigated and the questions we're still grappling with. Now, getting away from what we do know, the panelists will lend us their first-hand technical expertise, and as we look to the horizon, we ponder the potential successors of LLMs. Are there emerging avenues of research and applications that are beckoning our attention? Can we ignore them for now, or do we need to start hustling?
Host organization: Globalization and Localization Association
Event Speakers
Kirti Vashee
TRANSLATED SRL
Kirti Vashee is currently a technology evangelist for Translated Srl. He is a seasoned sales and marketing executive of technology products who has built a reputation as an evangelist for MT technology. He has been a prominent and accomplished speaker on automated translation technology in a variety of localization and globalization technology focused conferences around the world. He is a former AMTA board member and the Moderator of the largest MT related group on LinkedIn - Automated Language Translation. He is also an active blogger on MT related subjects Empty Pages
Jose Palomares
Coupa
Jose is the Director of Localization at Coupa, the software company leader in the enterprise Business Spend Management category. With a trajectory in our industry spanning more than 25 years as a translator, technologist, business leader, and entrepreneur, Jose brings to the table his combined experience from the vendor and buyer sides, a keen interest in all things technology, and an outspoken attitude toward how to empower our community, do more, and do better.
Helena Moniz
Helena Moniz is the President of the European Association for Machine Translation (2021-) and President of the International Association for Machine Translation (2023-). She is also the Vice-Coordinator of the Human Language Technologies Lab at INESC-ID, Lisbon. Helena is an Assistant Professor at the School of Arts and Humanities at the University of Lisbon, where she teaches Computational Linguistics, Computer Assisted Translation, and Machine Translation Systems and Post-editing. She is now in a very exciting project, coordinated by Unbabel, the Center for Responsible AI (https://centerforresponsible.ai), within the Portuguese Recovery and Resilience Plan, as Chair of the Ethics Committee.
Manuel Herranz
Pangeanic
MIT in Entrepreneurship, Manuel worked for major automobile manufacturers and power co-generation in the UK in the 90’s with postings in Argentina, Mexico and his native Spain. His background in machine translation comes from his mission to automate language processes for B.I Corp., the Japanese corporation for which he was European Director from 1998-2005. He has traveled to Japan and China extensively. Since 2009, he has focused on the development of Natural Language Processing technologies to provide process automation and true value to clients. A frequent speaker at industry events, Manuel’s areas of interest cover statistics, deep neural networks, adaptive technologies, pattern recognition and deep learning applied to Natural Language Processing. His interest in data acquisition led him to make of Pangeanic a founding member of TAUS and data-sharing initiatives. Manuel is also committed to supporting NGO actions like the Malima Project for primary education in Central Africa, as well as Translators Without Borders, medical research into rare diseases and sports events. Manuel is a double graduate from Manchester University.