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Over 10,000 people attended Amazon Web Service’s global summit, based in New York City, to connect, collaborate, and learn about the latest trends in the world of cloud. Amazon Web Services (AWS) growing faster than ever, generating $1.4 billion in operating income in their first quarter, and many are asking, what else could they be working on next? Attending AWS Summit NYC, our team got a decent look. Here are our key takeaways from the summit that we predict will be game changers in the near future of cloud.
With evidence of increased interest in AI and ML, and more companies already using ML technology, many are wondering where do I even start? AWS cleared up some of this question at the summit with some great announcements around their ML initiatives.
In a keynote led by Dr. Matt Wood, GM, Artificial Intelligence, he emphasized how AWS has been deeply invested in AI for over 20 years, and that they’re on mission to make Machine Learning accessible so that all companies can use this advanced knowledge. While many of the barriers to entry include a steep learning curve, difficulty in training, and the cost, AWS wants to break these barriers, to put the power of Machine Learning in the hands of every developer.
Beginning this initiative, Dr. Matt Wood had some great announcements of improvements to Amazon Sagemaker. These announcements are huge for developers and companies that want to dive into the ML space. ML through Amazon Sagemaker is now more accessible, it can drive more data, reduce time to start training, and comes at a lower cost – making it a lot more affordable than other options available in the industry. This is just the beginning, but having this knowledge confirms our predictions that the time to hop on machine learning is now, and even better news that we can use AWS to help us get there.
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