Be our visitor as we have fun 20 years of AI/ML innovation on October 25, 2022, 9:00 AM – 10:30 AM PT. The primary 1,500 individuals to register will obtain $50 of AWS credit. Register here.
Over the previous 20 years, Amazon has delivered many world firsts for synthetic intelligence (AI) and machine studying (ML). ML is an integral a part of Amazon and is used for every thing from making use of personalization fashions at checkout, to forecasting the demand for merchandise globally, to creating autonomous flight for Amazon Prime Air drones, to pure language processing (NLP) on Alexa. And using ML isn’t slowing down anytime quickly, as a result of ML helps Amazon exceed buyer expectations for comfort, value, and supply pace.
Through the digital AI/ML innovation occasion on October 25, we take time to mirror on what’s been executed at Amazon and the way we’ve got packaged this innovation into a large breadth and depth of AI/ML companies. The AWS ML stack helps you quickly innovate and improve buyer experiences, allow quicker and higher decision-making, and optimize enterprise processes utilizing the identical expertise that Amazon makes use of each day. With essentially the most expertise; essentially the most dependable, scalable, and safe cloud; and essentially the most complete set of companies and options, AWS is one of the best place to unlock worth out of your information and switch it into perception.
We can even take a second to have fun buyer success utilizing AWS to harness the ability of knowledge with ML and, in lots of instances, change the best way we dwell for the higher. Mueller Water Merchandise, Siemens Vitality, Encourage, and ResMed will present what’s potential utilizing ML for sustainability and accessibility challenges equivalent to water conservation, predictive upkeep for industrial crops, customized medical care assets for sufferers and caregivers, and cloud-connected personalized suggestions for sufferers and their healthcare suppliers.
The 90-minute session doesn’t cease there! We have now particular visitor speaker Professor Michael Jordan, who will discuss concerning the decision-making facet of ML spanning computational, inferential, and financial views. A lot of the latest focus in ML has been on the sample recognition facet of the sector. In Professor Jordan’s discuss, he’ll give attention to the decision-making facet, the place many elementary challenges stay. Some are statistical in nature, together with the challenges related to a number of decision-making. Others are financial, involving studying techniques that should deal with shortage, competitors, and incentives, and a few are algorithmic, together with the problem of coordinated decision-making on distributed platforms and the necessity for algorithms to converge to equilibria quite than optima. He’ll ponder how next-generation ML platforms can present environments that assist this sort of giant scale, dynamic, data-aware, and market-aware decision-making.
Lastly, we wrap up the celebration with Dr. Bratin Saha, VP of AI/ML, who will clarify how AWS AI/ML has grown to over 100,000 clients so shortly, together with how Amazon SageMaker grew to become one of many quickest rising companies within the historical past of AWS. Trace—SageMaker incorporates many world firsts, together with absolutely managed infrastructure, instruments such IDEs and have shops, workflows, AutoML, and no-code capabilities.
AWS has helped foster ML development by way of capabilities that show you how to deploy it at scale by operationalizing processes. We have now seen this play out in many alternative industries. For instance, within the automotive trade, the meeting line has standardized automotive design and manufacturing, and launched a revolution in transportation by serving to us transition from hand-assembled automobiles to mass manufacturing.
Equally, the software program trade went from a number of specialised enterprise functions to changing into ubiquitous in each facet of our lives. That occurred by way of automation, tooling, and implementing and standardizing processes—in impact by way of the industrialization of software program. In the identical manner, ML companies from AWS are driving this transformation. In truth, clients as we speak are working tens of millions of fashions, billons of parameters, and lots of of billions of predictions on AWS.
Dr. Saha can even look again on the historical past of flagship AI companies, together with companies for textual content and paperwork, speech, imaginative and prescient, healthcare, industrial, search, enterprise processes, and DevOps. He’ll clarify methods to use the AI Use Case Explorer, the place you may discover use instances, uncover buyer success tales, and mobilize your workforce across the energy of AI and ML. Dr. Saha will finish on his imaginative and prescient for AWS AI/ML companies.
We will’t wait to have fun with you, so register now! When you’re among the many first 1,500 individuals to register, you’ll obtain $50 of AWS credit.
Completely happy innovating!
Concerning the creator
Kimberly Madia is a Principal Product Advertising and marketing Supervisor with AWS Machine Studying. Her aim is to make it simple for patrons to construct, practice, and deploy machine studying fashions utilizing Amazon SageMaker. For enjoyable exterior work, Kimberly likes to prepare dinner, learn, and run on the San Francisco Bay Path.