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The blend of Artificial intelligence (AI) and the Internet of Things (IoT) are opening new business frontiers. With technological achievements such as the Raspberry Pi computing models, we are witnessing significant expansion in AI potential for businesses. From automated video analytics to AI-infused assistants, AI development with Raspberry Pi 4 is heralding breakthrough applications across verticles.
Artificial Intelligence (AI) and its underlying Machine Learning (ML) technology have widened the scope of video analytics. Following the Mckinsey Global Institute research, video analytics applications are expected to witness a compound annual growth rate of over 50% by 2021. From media publishing houses to retail and security business models, AI-powered deep video analytics is poised to generate valuable insights for diverse settings. In today’s article, we are throwing light on the development of artificial intelligence applications using the Google Video Intelligence model.
Artificial Intelligence (AI) is heralding a conversational future for humans and machines. The meteoric adoption of conversational or voice-based AI systems has encouraged businesses to explore natural language conversations like never before. As businesses begin to automate customer interactions successfully, machine learning advancements are leading us to the augmented future, i.e. conversational intelligence. With an added layer of self-learning capabilities, conversational intelligence is poised to generate value for businesses from routine human-bot interactions.
Artificial intelligence (AI) is poised to improve security across the financial landscape. From AI-powered surveillance to automated data extraction, AI technologies are optimizing security efforts for businesses and financial institutions. AI development services are set to disrupt legacy processes like Know Your Customer or KYC for improved verification and enhanced customer experience.
Artificial Intelligence (AI) is transforming the way traditional services are delivered to the masses. With advancements in machine learning algorithms, chatbot development frameworks such as Dialogflow are automating critical customer interactions efficiently. Chatbot development with Dialogflow facilitates meaningful interactions across platforms and devices while supporting multiple languages.
Artificial Intelligence (AI) has proliferated the social networking spectrum across industries from eCommerce to healthcare to media. In a bid to satiate the rising consumer demand for chatbot interactions, businesses are turning to automated social media techniques. As an emerging chatbot development company, Oodles AI is constantly exploring business opportunities using AI’s conversational abilities for enhanced customer experience.
Artificial Intelligence (AI) and Machine Learning (ML) are propelling advanced business solutions across industries. Algorithm-based machine learning development services are overcoming the business challenges of processing heavy data volumes. With accuracy and efficiency, cloud technologies like Google cloud AutoML are encouraging the development of dynamic machine learning solutions.
WhatsApp is a leading messaging platform with a massive global user base. It is estimated that WhatsApp has more than 1.5 billion users globally, which makes WhatsApp a lucrative social network for businesses. A WhatsApp bot is an effective tool to improve brand visibility and engage audiences. It can provide round the clock customer support by effectively handling thousands of conversations in tandem. Several businesses are exploring chatbot Development Services to enhance their customer experience.
Artificial Intelligence is the study of computer science which focuses on creating software or machines that exhibit human intelligence. The AI research has certainly made significant progress in limited domains eg, Robotic Arms, that work in assembly lines, Japanese robots, Sophia ( the robot who said that humans should be destroyed ). Making robots with a more “general” intelligence, like asking thought-provoking questions, is a more “long” term goal of AI research.