摘要： AI/ML model training and knowledge-based storage and processing are more costly on a cloud than many thought, and prices for compute and storage equipment have fallen.
摘要： Developers use application programming interfaces to hide complexity, organize code, and design reusable components. Here’s what you need to know about APIs.
摘要： Gartner research predicts that by 2026, the chatbot industry will grow into an $8.8B business. According to research done by Yellow.ai and C-Zentrix, a 320% growth of Global Voice Assistant transaction values is expected between 2021-2023.Here are 7 ways that Chatbots are being used to engage, analyze, and ultimately satisfy the end user, customer and employee for today’s forward thinking companies.
摘要： Successful companies today need to be data driven. A survey by NewVantage Partners found that 92% of organizations are increasing their investments in data and artificial intelligence (AI) capabilities. On the flipside however, only 19% of companies feel that they are truly being data driven. This analytics gap continues to widen and conspires to impede organizational process. This gap boils down to one thing: a lack of analytics capacity within organizations. There are both technical and cultural challenges that affect the development of data-driven organizations.
摘要： From predicting COVID-19 mortality to content personalization, artificial intelligence (AI) and machine learning (ML) are expanding the possibilities for organizations across the globe. As a result, more companies and industry-leading firms are increasing their investments in AI.
摘要： With increased compliance laws in recent years governing how organizations must manage, retain and eventually delete customer data, it is vital that policies and processes are put in place so that obligations can be met and individual rights respected.
摘要： Customized protein design is now possible because of artificial intelligence (AI), which can be used to address both medicinal and environmental issues. A team at the University of Bayreuth has effectively used a computer-based natural language processing model for protein research under Prof. Dr. Birte Höcker.
