AI & RoboticsNews

ZeroEyes uses AI and security cameras to detect guns in public and private spaces

AI has been used a lot for face detection around the world in our surveillance society. But ZeroEyes believes it can detect immediate threats by using AI to detect guns. ZeroEyes has been rolling out the gun detection video analytics service since 2022. It combines the automated detection of gun-like objects with video analysis by human experts before it sends an emergency message to the place…
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AI & RoboticsNews

How AI is fundamentally altering the business landscape

Over the past year, we’ve witnessed dramatic strides in AI development and huge shifts in public perceptions of the technology. Chatbots like OpenAI’s ChatGPT and LLMs like GPT-4 have demonstrated remarkable abilities to communicate fluently and perform at or near the…
AI & RoboticsNews

ServiceNow expands platform with additional generative AI capabilities to ease enterprise productivity   

Low-code enterprise automation company ServiceNow has announced the expansion of its Now platform’s generative AI capabilities, introducing case summarization and text-to-code features. The company said these advancements aim to drive speed, productivity and value for customers across various industries. According to the company, the gen AI capabilities are purpose-designed to alleviate…
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AI & RoboticsNews

Montreal startup HumanFirst raises $5M to transform organizations’ conversational data into no-code AI

Imagine you run a customer service desk at a company. You quickly notice that your employees spend a good chunk of their day answering the same questions from different customers. Wouldn’t it be nice to automate those responses and let AI answer them, freeing up your human employees’ time to handle trickier questions and situations? But unless you have a programming background, creating such…
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AI & RoboticsNews

From data chaos to data products: How enterprises can unlock the power of generative AI

Many large enterprises are eager to experiment with generative AI and the large language models (LLMs) that power it, hoping to gain a competitive edge in a range of fields from customer service to product design, marketing and entertainment.   But before they can unleash generative AI’s full potential, they need to address a fundamental challenge: data quality. If enterprises deploy LLMs that…
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