Visuals and imagery continue to dominate social and professional interactions globally. With a growing scale, manual efforts are falling short on tracking, identifying, and annotating the prodigious amounts of visual data. With the advent of artificial intelligence, multimedia businesses are able to accelerate the process of image captioning while generating significant value.
Leading global businesses are exploring the far-reaching capabilities of facial recognition technology (FRT) to engage audiences and improve revenues. Facial recognition techniques are useful for strengthening security systems, building personalized products, tracking employee performance, and more.
As the world fights an invisible enemy, healthcare services including insurance are witnessing an overwhelming spurt in demand. In such challenging times, artificial intelligence (AI) is emerging as an effective, robust, and reliable insurance agent. With virtual agents and predictive analytics, AI and machine learning (ML) in insurance are overcoming business challenges for achieving operational efficiency.
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.
Large retailers across the country are shifting their focus purely on eCommerce, thanks to lockdown 2.0. For the eCommerce sector to reap the benefits of this booming phase, it must employ advanced technologies such as artificial intelligence (AI). Today, AI-powered computer vision services are beginning to optimize eCommerce sales and enhance customer’s shopping journeys by deploying machine learning algorithms.
Training artificial intelligence (AI) to recognize images is analogous to teaching a child, perhaps with some coding. After the success of TensorFlow as a robust machine learning framework, TensorFlow Lite is reinforcing machine learning on mobile devices. As a well-experienced provider of tensorflow development services, Oodles AI presents a comprehensive guide to deploy image classification with TensorFlow Lite.
With no vaccine yet in sight, we cannot overemphasize the need for social distancing during the COVID-19 pandemic. To strengthen vigilance and support, artificial intelligence (AI) is acting as the brawns and brains of humankind. Coupled with computer vision services, machine learning models are automating the identification and detection of pedestrians, traffic, and infected patients across cities.
As digitization hits the ground running at global logistics companies, artificial intelligence (AI) is trailing the footsteps to disrupt the industry. To stay competitive and agile, global logistics giants including DHL are capitalizing on AI’s machine learning technologies for automating critical business processes efficiently. As a well-positioned provider of AI development services , Oodles AI explores the practical applications of artificial intelligence in logistics.
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.
The pathway to combat business challenges using next-gen technologies is often laden with strategic hurdles. Today, the battle for building ideal AI applications has brought us to explore two emerging machine learning frameworks, namely TensorFlow and H2O.ai. While the former is renowned for its high computational power, the latter is empowering Fortune 500 companies to expedite deep learning.
