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It is clear that the implementation areas of AI are vast and diverse. They highlighted that the effects of AI can be beneficial in both the internal processes of organisations and as part of products and services provided to customers. But what is AI really? In addition, they highlighted that we can find AI being used in both the law and financial sectors already and examples of current research areas include autonomous vehicles and health applications. DL works as a process that is loosely modelled after the human brain and can be trained to do things like detect leukemia earlier than human experts, drive a car, help a restaurant better predict food demand or enable a global retail company to optimise the logistics processes. Heintz highlighted the importance of Sweden staying competitive in the field as AI is expected to be a significant part of basically every product and service of national importance to Sweden. Within manufacturing, production companies collect vast amounts of data such as equipment usage, vibrations and temperature which can be used to maximise production up-time and optimise quality but also to predict maintenance needs. The application areas where companies are using AI today are many and quickly increasing.

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    Examples of research challenges, he said are how to learn from significantly smaller data sets, how to transfer what has been learned about one task to other tasks, how to verify and validate ML models to provide guarantees, learn causal models and make the machines able to explain their decisions.

    In general, they said, they think of AI as a tool that can bring a lot of good to society and as long as it is incorporated in a sustainable and responsible way they see a bright future based on new technologies. Simply put, AI is intelligence demonstrated by machines.

    Although opinions on the development and implementation of AI may vary, countries and companies all over the world are putting a lot of resources into its implementation and development.

    AI is changing the world we live in, transforming the way we live and opening up for opportunities we could not have dreamt of a hundred years ago.

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    Even though AI has been praised a lot, the technology has also frequently been a target for criticism. Others question whether or not we should encourage a world in which robots and machines are given more and more space over human elements.

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    For financial analytics, various types of transactional data in combination with customer profiles, industry trends and text data are of tremendous value to banks and insurance companies who use it to perform advanced risk calculations and fraud predictions.

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    Within customer intelligence, it enables companies to know what consumers want, when they want it and how they want it, but also exactly what customers are monetarily worth. Groth and Hedelind said it is a disruptive technology that can change businesses and value chains completely.

    What the future will hold for AI is still unknown but it is evident that we will have to continue to explore the technology. Crnkovic-Friis highlighted that even though more and more people, companies and organisations are hoping to use and implement AI, the technology is still inaccessible to most companies, because they do not have the right tools and resources to support it.

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    Company placeholder image. Senior Software Engineering Consultant at Best Buy. Company placeholder image. Founder at Hornet Development. app appe5eb60d0. app-app app-app app-bcbd app- bdc.

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    ‎Quinyx Mobile on the App Store

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    Swedish Chamber of Commerce Artificial Intelligence the technology of the future

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    The LINK spoke to a range of experts within the sector to get their views on AI, and how they believe it can transform our future. The prospect of the widespread application of AI is now spreading beyond the technology sector, resulting in large transformation for companies, workers and consumers.

    Another example is self-driving cars which are on the rise as well as digital assistants, assumingly becoming harder to distinguish from humans. Even though AI has been praised a lot, the technology has also frequently been a target for criticism. Vinnova also stated that:

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    In fact,Crnkovic-Friis said that the current AI boom is directly related to the advances that have recently been made in DL.

    But what is AI really? Examples of research challenges, he said are how to learn from significantly smaller data sets, how to transfer what has been learned about one task to other tasks, how to verify and validate ML models to provide guarantees, learn causal models and make the machines able to explain their decisions.

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    Within manufacturing, production companies collect vast amounts of data such as equipment usage, vibrations and temperature which can be used to maximise production up-time and optimise quality but also to predict maintenance needs. Vinnova also stated that: In addition, they highlighted that we can find AI being used in both the law and financial sectors already and examples of current research areas include autonomous vehicles and health applications.

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