AI Monday on 19th of March was very successful: as always, full house at EIT Digital and very insightful speakers! Have you missed the event? Want to refresh your memory about the key insights? Want to discuss your findings in the comments? On behalf of Taival, I prepared this short report just in case one of these is true.
First of all, we’ve heard a short introduction from Patrik Floréen about Finnish Center for Artitificial Intelligence (FCAI). Aalto University and the University of Helsinki have joined forces in artificial intelligence research by establishing the FCAI. FCAI works towards the next generation of AI that is interactive, dependable, and data-efficient. It aims to boost and extend AI research and its applications by bringing together universities, industrial actors and the public sector. With their partners in Finland and abroad they want to achieve societal impact by generating business and solutions that will have world-wide positive effects on the economy and the well-being of people. Check out more information about them here.
And then, speakers!
Satu Huuhtanen: Telecom is facing a perfect data storm
Satu started her talk with a bold statement: “Telecom is facing a perfect data storm. AI is imperative, not an option”. Satu is a Head of Planning and Design Business Line at Nokia. She explained that in comparison to payment services such as MasterCard and VISA with 4 500+ Transactions Per Second (TPS) and online services such as Twitter with 144 000+ TPS, the volumes of data in the telecom industry are vastly larger. Telecom operators such as Elisa and Telia are facing more than a million (1 000 000) TPS. And every transaction is a data point! Following the evolution from 2G to 3G to 4G and now – 5G, Satu Huuhtanen says that telecoms must evolve and learn to use the storm of data they are getting into. Luckily, there are a lot of opportunities.
One example Satu introduced is resolving problems in customer support. Nokia is processing more than 6 million tickets per year. There are a lot of people with similar problems that have been solved before in a certain way. Nokia’s AI system connects experts resolving the tickets with the intelligence about what has been done before and how to resolve certain cases in a more efficient manner. Not only that, it goes further by using predictive analytics to anticipate the possible problems in the network even before they appear.
Another big example Satu talked about was Mobility Analytics. Telecoms have a lot of data about the location and movement of everyone in their network. This data could be efficiently utilised across sectors such as retail, advertising, urban planning and many others offering telecoms the opportunity to sell both the data and insights and work on interesting collaborations.
Ulla Kruhse-Lehtonen: microwave is on – deliver the package!
Ulla’s talk was about the value of companies collaborating and sharing their data. Ulla Kruhse-Lehtonen is the CEO of DAIN Studios. There are different ways you can go about utilising the data in your company: you can work on your internal data, sell data to other companies, buy data from other companies or collaborate and share data in a common project. One example she gave was a collaboration between the electricity company and the delivery company. If the microwave is on in the house, it probably means that somebody is home and it might be a good time to deliver a package.
Another example Ulla gave is a partnership between the retail and media companies. Neither have enough data to track the full customer journey cycle on there own. But when they join forces the puzzle clicks together, providing added value for both.
Watch the recording of Ulla’s talk here!
Q&A with Satu and Ulla
How does GDPR affect the utilisation of data?
Definitely, the data usage has to be done according with the legal frameworks and with the consent of the customer. From a perspective of the Telecom though, many companies are looking for big data, information about how masses move in case of Mobility Analytics for example. In this case, data can be anonymised and doesn’t cause privacy problems.
Some companies might not want to share their data due to competitive reasons and prefer to just “sit on it”. What do you think?
Good approach is to share use cases to showcase value. Cases that make it evident that the upside of the partnership is way higher than any possible downside.
How should SMEs think about getting started with AI?
Start small, think of it as a discovery journey, experiment.
Watch the recording of Q&A here!
Mónica Lora: What was possible… changed
Monica told about the journey of Amazon in utilising AI and the current vision of the company to make AI accessible to all. Monica Lora is a Solutions Architect at AWS. She presented a few business cases of how Amazon is helping business such as Netflix with their recommendation engine, CapitalOne with seamless voice activation service with Alexa and the project of Stanford on the detection of diabetic complications.
Her main message was: “What was possible… changed”. With various solutions from cloud solutions and AI applications to platform services, AWS is enabling even SMEs to use AI.
Last but not least, the event had some great networking with like minded people and a lot of energy. Don’t miss the next event on 16th of April and make sure of it yourself!
Dima Syrotkin, Digital Marketing at Taival, CEO at Panda Training