Artificial intelligence: Friend or foe of customer service?

July 4, 2019

Applications and devices that are enabled for artificial intelligence (AI) increasingly think and act more like humans. This gives AI huge potential to make customer service more effective by streamlining case management and other predictable tasks. But all the noise about AI can be overwhelming.

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Astreya

"Astreya, an IT support services provider, located in the heart of Silicon Valley, offers an innovative approach to amplified enterprise productivity and employee satisfaction. Our Managed PerformanceTM model combines the best features of IT staff augmentation and traditional IT outsourcing. Harnessing the power of people, process, and technology advancements, we match client’s needs by keeping employees ready, connected, collaborative and insightful across three continents and 28 countries. "

OTHER WHITEPAPERS
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API Design Best Practices

whitePaper | August 25, 2022

The document focuses on the best practices to consider for API design by breaking it into its basic building blocks. Along with each recommendation the document also describes the reason and impact of a certain design decision through scenarios. The document provides recommendations on object representations, usage of headers and URL/URI templates to consider.

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Four Proven Steps to Integrating Threat Intelligence for Higher-Fidelity Detection and Response

whitePaper | July 20, 2020

Accurate, trustworthy threat intelligence is a boon if you have it – but too much of it becomes a management headache. Analyst group 451 Research, surveying security leaders for its report Tackling the Visibility Gap in Information Security, found that 49% of enterprises using SIEM, EDR, and other security tools were overwhelmed by the day-to-day operation of managing and ingesting threat feeds into their growing technology stack.1

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Machine learning and artificial intelligence in a brave new world

whitePaper | December 22, 2022

Machine learning, one of the key building blocks of AI, has been a part of the technological world since the 1950s, when the earliest programmers asked computers to make sense of large sets of data. Programmers have increasingly refined the ability of machines to study data in order to detect patterns that allow computers to then organise information, identify relationships, make predictions and detect anomalies. Today, modern applications of AI have already given us self-driving cars and virtual assistants and have helped us detect fraud and manage resources like electricity more efficiently. Sectors as diverse as retail, sports, banking, manufacturing and healthcare have all found applications for machine learning and AI.

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The future of AI is hybrid

whitePaper | May 15, 2023

The future of AI is hybrid. As generative AI adoption grows at record-setting speeds1 and drives higher demand for compute,2 AI processing must be distributed between the cloud and devices for AI to scale and reach its full potential – just like traditional computing evolved from mainframes and thin clients to today’s mix of cloud and edge devices. A hybrid AI architecture distributes and coordinates AI workloads among cloud and edge devices, rather than processing in the cloud alone. The cloud and edge devices, such as smartphones, vehicles, PCs, and IoT devices, work together to deliver more powerful, efficient, and highly optimized AI.

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AI for Enterprise: Building an AI Strategy to Delight Customers

whitePaper | September 12, 2022

A seamless customer experience has quickly emerged as a critical differentiator for businesses across all industries.1 And the bar is set high – using artificial intelligence (AI) to deliver touches like personalization, gamification and around-the-clock customer support has become an all but everyday expectation for a large number of consumers.

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Protecting the Human Side of Cybersecurity

whitePaper | August 1, 2020

The majority of enterprise companies have hundreds of apps deployed in the cloud, and that trend is expected to continue, according to a new survey by IDG. That said, 52% of companies find that securing those apps continues to be challenging. But that doesn’t mean that the remaining 48% are fully confident in their cloud app security or are fully aware of all of the facets of cloud security they should be considering. “Cloud security is a broad issue,” says Jim Fulton, Director, Cloud & Edge Protection Solutions for Forcepoint. “From what I’ve seen, about 10% of companies really understand all of the facets.

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Spotlight

Astreya

"Astreya, an IT support services provider, located in the heart of Silicon Valley, offers an innovative approach to amplified enterprise productivity and employee satisfaction. Our Managed PerformanceTM model combines the best features of IT staff augmentation and traditional IT outsourcing. Harnessing the power of people, process, and technology advancements, we match client’s needs by keeping employees ready, connected, collaborative and insightful across three continents and 28 countries. "

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