What to expect
AI FOR THE REAL WORLD
2019 is the year that AI becomes ubiquitous – in our devices, homes, streets, and cities. We’ll see a change from small conveniences to a completely new way of living; one that opens up possibilities for the way we communicate, travel, and relax.
This prompts the deeper questions as we make this transition. How do we ensure that machine learning improves our lives rather than the opposite? Which industries will it change first? When will we see the first AGI?
At the Machine:Learners track, we’ll be exploring how artificial intelligence will impact us, and how we can ensure that it’s a positive change.
Here’s what we’ll be exploring on the Machine:Learners stage
AI is pretty much everywhere, without us even noticing it anymore. How is it making our lives easier, and how can it benefit your company? Here, we explore how to make use of machine learning applications.
FAKE IS THE NEW REAL
How do we protect ourselves from fake news, deep fakes, and other complications created by AI? We’ll dive into the ways that we can control our own creations – both now and in the future.
AI FOR EVERYONE
AI has the potential to solve the largest problems facing society. Many aspects of machine learning can help democratize access to education and healthcare – let’s explore these use cases.
How can we ensure that AI makes our jobs easier, rather than takes them away entirely? We’ll delve into the ways that AI can be balanced with irreplaceable human ingenuity.
Inevitably, job roles will evolve with the rise of AI. We’ll examine the new opportunities and what skills will be needed to make sure you’re able to meet the challenges ahead.
Leaders, innovators, and policy makers must ensure machine learning technology is built and used to benefit humans with real-world applications.
Don't miss these inspiring speakers talk about AI and machine learning.
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13 TRACKS OF INSPIRATION
Explore the themes we'll talk about at TNW2019. From artificial intelligence to the next big marketing trends, there's a track for everyone.
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