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New Neural Model Enables AI-to-AI Linguistic Communication

Unite.AI

In sectors like customer service, education, and healthcare, AI systems with enhanced communication and learning abilities could offer more personalized and effective services. Central to this advancement in NLP is the development of artificial neural networks, which draw inspiration from the biological neurons in the human brain.

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FPGA vs. GPU: Which is better for deep learning?

IBM Journey to AI blog

Less flexible: GPUs are far less flexible than FPGAs, with less opportunity for optimizations or customization for specific tasks. Unlike application-specific integrated circuits (ASICs), which are designed for specific purposes, FPGAs are known for their efficient flexibility, particularly in custom, low-latency applications.

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AI News Weekly - Issue #365: AI : the Biggest Tech Investing Theme for 2024 - Dec 28th 2023

AI Weekly

socialnomics.net Ethics AI Opportunities for Unhindered Success Effective engagement with potential customers is key to successful lead generation, and AiSDR transforms this process by providing a high level of personalisation and contextual relevance in every email.

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Getting ready for artificial general intelligence with examples

IBM Journey to AI blog

A world where computer minds pilot self-driving cars, delve into complex scientific research, provide personalized customer service and even explore the unknown. On a smaller scale, some organizations are reallocating gen AI budgets towards headcount savings, particularly in customer service.

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Carl Froggett, CIO of Deep Instinct – Interview Series

Unite.AI

During my time at Citi, my responsibilities included innovation, engineering, delivery, and operations of global platforms for Citi’s businesses and customers globally. What makes our model unique is it does not need data or files from customers to learn and grow. What was it that enticed you to join the Deep Instinct startup?

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4 smart technologies modernizing sourcing strategy

IBM Journey to AI blog

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. This helps reduce errors to improve data quality and response times to questions, which improves customer and supplier satisfaction.

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Six ways AI can influence the future of customer service

IBM Journey to AI blog

Organizations have always used some degree of technology to provide an excellent customer experience , but the future of customer service will demand even more advancements to meet customers’ growing expectations. Customer support is an incredibly important defense against customer turnover.