September 6, 2023
The average data breach cost reached an all-time high of $4.45 million in 2023 – a 15% increase over the past three years.1 While cyber security has always been a high priority for business leaders, finding solutions that can keep up with today’s evolving threat landscape is more important than ever. Luckily, organizations that use AI for cyber security can save $1.76 million m[…]
Filed Under:
Cyber Security,
artificial intelligence,
AI
February 23, 2023
Artificial intelligence (AI) has transformed the business world in recent years, with 77% of organizations currently using or exploring AI to improve productivity, efficiency, and – most notably – customer service.1 From chatbots to hyper-personalization and more, AI is changing how companies engage with customers to deliver satisfying experiences. Here are six ways AI is boost[…]
July 28, 2022
Over the last two years, the customer experience has changed drastically in light of the COVID-19 pandemic. Customers have gotten accustomed to ordering from a digital touch screen instead of a person, paying with a tap of their phone, and seeking assistance from an online chatbot. There are many other useful customer experience technology examples out there. However, any techn[…]
Filed Under:
customer experience technology,
Customer Experience,
CX,
UCaaS,
customer service,
CCaaS,
AI,
hybrid voice
June 24, 2019
Enterprises can no longer justify the absence of a detailed and well-rehearsed disaster recovery and business continuity plan. From cyber security threats that are in constant flux to the risk of an employee error or a natural disaster, business leaders are aware of the many types of vulnerabilities in their organizations. In many cases, enterprises have also done a careful cos[…]
Filed Under:
refinement,
strategy,
artificial intelligence,
disaster recovery,
execution,
AI,
business continuity
November 19, 2018
Big data is undergoing a revolution. The technology is coming to a point of maturation, in which users have suddenly realized the purpose of storing and analyzing huge volumes of data. That purpose is to put the data to action. This might seem obvious, but the solutions for handling big data have largely focused on the mechanics of handling large volumes rather than how that da[…]
Filed Under:
Data,
Big Data,
Data Analytics,
artificial intelligence,
data storage,
AI
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