Social media is commonly used today for sharing and consuming news but the spread of fake news can negatively impact the company brand, reducing customer confidence, and impacting revenues. This session showcases how to detect fake news based on the content and social context of the news on social media with machine learning on AWS. We demonstrate how Amazon Neptune ML, a machine learning technique purpose-built for graphs enables accurate predictions using graph data in hours instead of weeks, without the need to learn new tools and ML technologies.
Drone data is becomingly increasingly important for many organizations due to its capabilities to collect i...
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Machine learning (ML) has become a core component of operations within growth-minded companies, unlocking new opportunities and resolving key challenges.
Machine learning (ML) has become a core technology ingredient for organizations to drive real-world innovation, yet many are struggling to bring more ML models into production in a repeatable and resp
By providing the broadest and most complete set of machine learning (ML) services, AWS is able to meet its customers wherever they’re at in their ML journeys and help them achieve specific objectives.
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Many organizations know they need AI/ML to create unique competitive advantage, drive better customer engagement, and deliver desired business outcomes. While some are reaping the benefits from the tr
Amazon is the world’s biggest corporate buyer of renewable energy and needs to ensure sustainability is at the heart of all of its operations in order to meet its carbon emission targets. An area it i
AI and ML hold the promise of transforming industries, increasing efficiencies, and driving innovation. The key to machine learning success is scale. This session covers how executives and managers wh
AI/ML techniques are increasingly important fundamentals for organizations looking to transform and deliver their objectives. However, applying AI/ML in the right place is not easy. Join this session
Reproducibility, traceability, explainability have become the fundamental requirement in the machine learning lifecycle for regulated industries. But building a data science platform for a bank or the
The widespread adoption of mobile services, new digital native market entrants, adapting to generational shifts, and critical industry requirements on regulatory compliance make it challenging for fin
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Whether your organization is starting on its AI/ML journey, or has a large number of projects in production, it is vital to have secure environments that protect your data. In this session, we share h
Over the past decade, NVIDIA has been able to illustrate the effectiveness of its GPUs across the board for both deep learning training and inference. As these models become larger, the inherent need
How can you get the most accurate and specific answers in search queries when the answers may require you to sieve through large volumes of distributed data sources? In this session, we show how to us