Learn how to use Multi Aspect Sentiment Insights technique for analyzing text that categorizes data by aspect and identifies the sentiment attributes from natural language processing. This machine learning technique is used to analyze customer reviews by associating specific sentiments with different aspects of a product.
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.
Tiliter meets the challenge of customer-specific software versioning and deployment of its game-changing computer vision across four continents. In this article, we look at how Azure IoT Hub has allowed us to stay agile and scale.
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.
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.
