Almost any application needs to keep track of some sort of state. Now, you have one of the most complicated choice of your architecture to make: which database to pick? You better have made the right choice the first time 😊.
As the edge AI space develops, it's important to build a future-proofed infrastructure that accommodates a rapidly changing technology landscapes. Learn how to deploy AI models can be determined by balancing considerations across scalability, latency, autonomy, bandwidth, security, and privacy.
In this article, we'll check out a new Azure service, Static Web Apps, and look at how we quickly converted an existing application to it, simplified our infrastructure and streamlined our workflows.
Tiliter creates computer vision software and hardware that automate and enhance everyday processes. Early adoption of our technology was in retail, on identification processes such as item recognition and in-store detection. Today, we are growing out our AI for a myriad of detection applications, and we have customers on four continents. And ...
Azure Static Web Apps offers developers a very attractive, build chain ready and quickly deployable choice when building their web applications. Learn in this article how we were able to go from function code complete to having a full build chain, hosting, and domain name in the space of about an hour.
learn how startup Ujet is modernizing digital and in-app experiences by using CRMs and AI’s natural language processing (NLP) to handle cyber security, chatbot state management and customer emotions for multimodal agent support to provide exceptional customer experiences.
learn how startup X0PA AI is using their SaaS AI powered platform to revolutionize how enterprises employ and retain the best fit talents with advanced algorithms, predictive analytics, natural language processing and RPA to scale the recruiting and hiring processes while eliminating bias for an inclusive workforce.
Learn how this unicorn startup Instabase is using their AI platform to transform how enterprises work with complex documents using data extraction to improve productivity and boost searchability.
Ruth Yakubu
February 23, 2021
Feb 23, 2021
02/23/21
Welcome to the Season 2 of the Tech Exceptions series where we will be having conversations with exceptional startup leaders to learn how they are disrupting the AI space through their innovations. In episode 1, I sat with Muddu Sudhakar, CEO of Aisera and Puru Amradkar, VP of Product & Sales Engineering at Aisera.