The meteoric rise of artificial intelligence (AI) is reshaping today’s IT paradigms. No longer relegated to the domain of data scientists, AI now stands at the forefront of human- machine interactions, accessible to both the broader workforce and consumers alike. Generative AI solutions like ChatGPT are a great example of how quickly AI is being adopted for use in mainstream use cases, and we’re just at the beginning of the transformation that these new technologies can bring.
The promise that AI represents for improving productivity, streamlining workflows, raising the bar for customer service, and reducing costs – just to name a few – is putting increased pressure on IT professionals tasked with leading AI transformation for organizations of all sizes.
In response, many tech providers are rushing to reposition their products as “AI first,” “built from the ground-up on AI,” “AI-enabled” or “an AI platform.” Whether or not these claims are rooted in reality, this creates confusion and additional work for IT leaders. Instead of easily picking the best-fit AI tools, they have to sift through options and marketing claims that are not always clear.
IT leaders need to cut through this noise and determine whether those offering the technology behind these claims can become trusted partners who can walk with them on their AI journey. Given this environment, RingCentral understands the importance of making AI in cloud communications easy for IT leaders to understand and extract value from.
RingCentral’s goal is simple: to support customers as they navigate their AI transformation, ensuring they harness the full potential of AI, especially for conversation intelligence and conversational AI. Communication is central to how workers engage with AI, both in the office, at home, or in the contact center.
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