Using Generative AI to enhance your traveling experience.

9

October

2024

5/5 (2)

Last spring, I booked a rather impulsive last-minute trip to Athens. Between packing, finishing work, and making sure everything was settled at home, I simply did not have enough time to plan for activities and although I had some general idea of the places I would like to visit and the things I would like to do, making a detailed planning based on the time I had there (which was only 2 days) was simply not possible before my flight. This led to me asking ChatGPT to fill in the rather large gaps in my planning on short notice. In this blogpost, I will share my experience on the trip and with ChatGPT as my guide.

Convenience  

The moment I landed in Athens, ChatGPT became my personal assistant. Instead of wasting my time browsing the internet for recommendations, I simply asked ChatGPT what landmarks to visit first and how to arrange my time accordingly. I was provided with an immediate list of attractions with an approximation of the time needed to fully enjoy them. In asking additional on-the-go questions I was provided with a schedule filled with activities and sights based on my interests. When I needed a place to eat, it recommended the best restaurants based on my specific taste and If I wanted to spend more time than allocated in my generated schedule, I simply let ChatGPT know, and it adapted on the spot. At the end of the first day, I felt like watching the sunset, so I simply asked for a recommendation for where to go. Not only did ChatGPT provide me with an amazing spot to watch the sunset on Mount Lycabettus, but it also provided additional information on how to get there and recommended a café in the area with good reviews.

Evening view of Athens from Mount Lycabettus, Athens.

Limitations

Now let’s talk about the pitfalls I encountered while using ChatGPT on my trip. The most obvious one is the necessity for an internet connection for it to work. There were times where my phone had bad reception, which meant it was not possible to ask questions. Secondly, I found that ChatGPT’s answers, although very informative, lacked detail in some instances and it was not able to account for real-time information changes. It lacked the ability to provide information on changing ticket availability, or unexpected changes in event time-slots. Also, popular sites around Athens sometimes require the visitor to book tickets beforehand during peak seasons, which ChatGPT did not always account for.

My recommendation

My trip was a spontaneous one to begin with, but using GenAI made sure I really embraced the spontaneity of the experience. ChatGPT was truly at it best in providing the flexibility to enhance this. Considering the time constraints, it was able to assist on the spot, which saved me a lot of time. This allowed me to purely enjoy Athens and its sights, without having to stress about logistics. I was positively surprised by the AI’s ability to recommend hidden gems which one might not find in a regular traveling guide. And although it has its limitations, I believe using ChatGPT to enhance your travels provided a significant upgrade for my trip. As far as my recommendation, use GenAI to positively enhance your traveling experience but make sure you are not totally reliant on its use. Bring a physical guidebook as well!

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How IBM Watson is using AI to Revolutionise Sports Broadcasting and Analytics.

18

September

2024

5/5 (1)

Breaking traditions

For the last few decades, sports broadcasts have been produced by editors who individually sit through all the video fragments to find the most memorable and exciting moments during a sports-event. Although this strategy has proven effective and has been automated more and more, it’s still slow and sometimes lacks the instantaneousness the viewers crave these days. in 2021 Wimbledon overhauled its production, but production was still done personally by editors (Ringrose, 2021). It was only In 2024, that IBM Watson first introduced some exciting AI-driven innovations in sports broadcasting, trying to provide for sports-fans around the world.

(A traditional Editor’s room at Wimbledon) (Ringrose, 2021)

Turning Heads (literally)

The sports broadcasting industry is changing. IBM Watson is introducing AI-driven match highlights and analysis in real time during the games at the Wimbledon Grand Slam (IBM, 2024)(Wimbledon, 2024). This has been a process of multiple years in the making. In-house algorithms and machine learning has been used to optimise data-analysis. During the tournament-games, IBM Watson is using their AI-application to provide the broadcast with instantaneous generated highlights by using collected match data points (IBM, 2024). At Wimbledon, these consist of shot speed, player reactions, and match intensity. This reduces editing time while also enabling broadcasters to present relevant and exciting events as they happen in real time. Every aspect of the tennis-match, whether serves, rallies, smashes or other moments are available for fans to see instantly.

AI-driven sports analysis

In addition to highlights, IBM has expanded their AI technology to provide detailed analysis during the matches. Player performance metrics have been on display throughout the Wimbledon broadcasts. Data such as serve/ace ratios, unforced errors, and predictive analytics about the likelihood of a player winning a particular point based on their past performance are shown in real-time.  Not only can the players themselves benefit from these statistics (Kaur, 2021), viewers get a better experience through AI-generated commentary on screen, providing strategy breakdowns. The IBM AI Draw Analysis feature, as presented on their website, will also provide statistics to define how favourable the path to the final might be for each player in the singles draw tournament (IBM, 2024). These statistics are not only commentated on during the match but are also available to view in the Wimbledon app on your phone, this adds another layer of accessibility to the data.

(Data analytics in the Wimbledon application) (IBM, 2024)

The Future of Sports Broadcasting

For me, this development is very exciting. Being able to view both instant highlights and data analytics adds another layer to the experience of watching sports. Something that in the past took significant human effort can now be provided almost instantly, making the viewership more interactive. Who knows what AI can provide for us in the future. I look forward to other developments in this field. Maybe in the future, AI can predict player-injuries or simulate alternate game outcomes based on one significant play.  

A personalised fan broadcasting experience seems not that far off right now. In my mind every viewer will be able to watch their favourite sports in a distinct digital environment, where AI offers an experience based on the user’s preferences and interests. Inevitably, AI sports broadcasting is here for the long run and I am very excited to see this technology expanded throughout the world of sports broadcasting.

Literature

Ringrose, F. (2021, 16 augustus). New Balls Please: Video and Audio Innovation at Wimbledon 2021. NAB Amplify. https://amplify.nabshow.com/articles/new-balls-please-video-and-audio-innovation-at-wimbledon-2021/

IBM Brings Generative AI Commentary and AI Draw Analysis to the Wimbledon Digital Experience. (2023, 21 juni). IBM UK Newsroom. https://uk.newsroom.ibm.com/2023-06-21-IBM-Brings-Generative-AI-Commentary-and-AI-Draw-Analysis-to-the-Wimbledon-Digital-Experience

Kaur, A., Kaur, R., & Jagdev, G. (2021). Analyzing and Exploring the Impact of Big Data Analytics in Sports Sector. SN Computer Science, 2(3). https://doi.org/10.1007/s42979-021-00575-y

Wimbledon | IBM. (z.d.). https://www.ibm.com/sports/wimbledon

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