Artificial Intelligence in Enterprise Communications and Collaboration, Global, 2019
- February 2020 •
- 71 pages •
- Report ID: 5873699 •
- Format: PDF
The foundation for AI infusion, across enterprise communications modalities, was set decades ago in the form of conversational user interfaces. In particular, chatbots made significant appearances through pop-ups in enterprise portals to provide effective self-service options to customers. Further, the introduction of consumer-oriented general-purpose virtual assistants by the industry behemoths, such as Google, Amazon, and Microsoft, significantly oriented the development path of conversational AI in enterprises.
Underpinned by advancements in AI technologies and underlying AI frameworks; significant breakthroughs in processors and computing platforms; and mechanisms to curate data, there are multiple AI applications available today including dedicated virtual assistants, predictive routing, process automation, voice biometrics, interaction recording, speech analytics, real-time transcription, automated forecasting, meeting assistance, automated video framing and many more. These applications are targeted at enriching customer care, employee productivity, and data-driven decision making.
In terms of skill sets, the AI applications can be segmented into assisted, augmented and prescriptive intelligence. By being able to accurately deliver intelligent automation of repetitive tasks, the assisted intelligence form of AI has come past the hype and experienced good traction across the enterprise communications realm. On the other hand, augmented intelligence is still maturing and garnering a few pilot trials; while, prescriptive AI is far-off in delivering on the promise of AI to act as a strategic team member and enable strategic decision making. However, it is anticipated that augmented and prescriptive intelligence-based applications will exhibit the true potential of AI as they would do much more than merely replicating the tasks by helping humans to unearth high-quality business insights that have the potential to combat risks and herald success.
- The study focuses on applications of AI across the following enterprise communications areas:
- communications hardware endpoints, including hard phones, headsets, and video conferencing devices;
- communications software services, including cloud web and video conferencing, hosted IP telephony and unified communications-as-a-service (UCaaS), team collaboration, and contact center; and
- software and platforms, including telephony, contact center, conferencing, instant messaging and presence, content collaboration, communications platforms-as-a-service (CPaaS), team collaboration, and other related business process software such as Salesforce.
- Can AI make an impact on enterprise communications and collaboration space
- What are the key use cases of AI?
- What is the level of AI adoption in enterprises?
- How do enterprises across different regions perceive benefits and risks associated with AI implementation?
- How is the vendor landscape gearing up for driving AI-powered transformation in enterprise communications?