Tag: getting started

The influencer and digital marketing space has become more diverse, accessible, and crowded. Especially for startups, having a proven platform like OpenSponsorship—experienced in completing over 5,000 deals, analyzing the options, and producing data-driven results—has become a must have versus a nice to have.

AWS IoT Core has many features that tackle different challenges IoT customers often have. It can be overwhelming at times to read about them in different places and figure out what exactly to use them for. In this blog post, we go into the different components of AWS IoT Core and walk you through an example of how a fictional startup will use the different components of AWS IoT Core to their benefit.

In this post, we present a systematic approach to guide customers migrating a few commonly used cloud data analytics services from Google Cloud Platform (GCP) to AWS. Rather than a detailed step-by-step implementation guide for a specific service, the post is intended to provide a holistic view and systematic approach for the migrations of these GCP services to AWS.

AWS Startup Advocate Mark Birch concludes his Founder Sales Series with advice on how to put all his tips and tricks together to create a more effective sales strategy for your startup.

In the final post of the Founder Sales series, AWS Startup Advocate Mark Birch shares how to avoid the 11th hour close.

In part 11 of the Founder Sales Series, AWS Startup Advocate Mark Birch shares some of the more common sticking points and areas of caution when it comes to legal side of closing deals.

In part 10 of the Founder Sales series, AWS Startup Advocate Mark Birch walks through the common mistakes that can lead to a good deal unraveling and how to address them.

Build a better way to work. Amazon Honeycode gives you the power to build apps for managing your team’s work. No programming required. Here’s how it works.

After you have had successful preliminary sales meetings, the next step is to build upon these initial meetings to develop internal support for your solution and ensure your efforts lead to a signed deal. AWS Startup Advocate Mark Birch walks through how to do so in part 9 of the Founder Sales series.

For most machine learning startups, the most valuable resource is time. They want to focus on developing the unique aspects of their business, not managing the dynamic compute infrastructure needed to run their applications. Productionizing machine leaning should be easier, and that’s where AWS comes in. In this blog post and corresponding GitHub repo, you will learn how to bring a pre-trained model to Amazon SageMaker to have production-ready model serving in under 15 minutes.