Tag: Artificial Intelligence

Fostering a data-driven culture within your organization isn’t only about technology. It’s also about enabling stakeholders to make better decisions and realizing new opportunities by embracing an AI-driven mentality for solving business problems. In this post, AWS Machine Learning Competency Partner Crayon discusses some of the first steps you should take and the essential questions to ask yourself as you thoughtfully develop your company’s relationship with data.

The nature of data has changed dramatically. Just a decade back, the majority of our data was structured (residing in relational databases) or textual. Now, with the advent of self-driving vehicles, drones, and the Internet of Things (IoT), images and video data are taking the lion’s share of the data storage zoo. As we create more and more data on more and more devices, however, this problem is not going away. In fact, we have reached a point where there aren’t enough people on the planet to label all the data we’re creating.

AWS provides a broad set of managed services for data analytics that, along with a strong APN Partner community, can help you build a scalable, secure, and cost-effective data lake. Customers and APN Partners want to know how to put all these pieces so we created a new poster and video explaining the overall flow of data—from data collection, storage, and processing all the way to analytics and machine learning.

While market adoption of machine learning varies across industry segments, healthcare and life sciences have lots of opportunity to explore. Pharmaceutical and biotech industries, specifically, have low utilization of the large volumes of data they collect and store for regulatory purposes. Aizon is an AWS Partner that offers a number of ML solutions to enhance utilization and management of such data in a way that adheres to Good Manufacturing Practice (GMP) in the cloud.

At the AWS London Summit, we announced the new AWS Machine Learning Competency Program for APN Consulting Partners. Launch Partners in this program have deep expertise and proven customer success in Machine Learning on AWS, and we are excited to showcase some of their stories. The AWS Competency Program helps customers identify and choose the top APN Partner for their AWS projects and workloads.

We are often asked how to integrate software with Amazon SageMaker and use the service’s built-in machine learning algorithms. In this post, we discuss how to use the training capabilities of Amazon SageMaker to leverage its built-in algorithms. The types of applications that can integrate with Amazon SageMaker are data science platforms, business intelligence tools, or any application that needs to use machine learning behind the scenes.

We see many AWS Partners doing great things and innovating on the AWS Cloud. Veeam is bringing backup technology to the cloud; IOpipe helps you get better insight into your AWS Lambda functions; and Narrative Science uses machine learning to generate auto reports from your big data. These are just a few of the innovations being driven by members of the AWS Partner Network (APN), the global partner program for AWS that is focused on helping you build a successful AWS-based business.

Our team was especially proud to represent the AWS Partner Network (APN) at the sixth annual Global Partner Summit, held in Las Vegas during AWS re:Invent 2017. Global Partner Summit included a keynote by Terry Wise, Vice President of Global Alliances, Ecosystem, and Channels, as well as dozens of breakout sessions over two days featuring business and technical topics to help you grow your AWS-based practice.

AWS Marketplace now has a machine learning (ML) and artificial intelligence (AI) discovery page that makes it easier to buy software from vendors that are integrated with or running on AWS. The discovery page features software providers for a variety of data engineer, data scientist, and developer use cases, and helps you select the right products faster by showcasing products in data services, machine learning and data science tools, intelligent APIs and solutions.

Artificial intelligence (AI) and machine learning (ML) are being applied to every imaginable use case—protecting users from fraud, improving customer experience, helping people discover entertainment easier, and predicting when maintenance is needed in industrial equipment. To help take this growing market forward, we are proud to launch the AWS Machine Learning Competency, showcasing industry-leading APN Partners that have deep expertise and proven customer success in AI and ML.