Enterprises today are moving quickly to scale artificial intelligence (AI) technologies across their operations. Research and Markets forecasts “an incredible surge in the artificial intelligence (AI) sector, expecting the market value to ascend from $214.6 billion in 2024 to a remarkable $1.33 trillion by 2030”.
Data from McKinsey shows just how rapidly enterprises are adopting AI. Over the last 7 years the percentage of companies using AI in at least one business function went from 20% in 2017, to 56% in 2021 and is expected to reach 72% in 2024.
According to a survey by IBM, the top factors driving AI adoption in the enterprise include advances in AI tools that make them more accessible (45%), the need to reduce costs and automate key processes (42%), and the increasing amount of AI embedded into standard off the shelf business applications (37%).
Organizations scaling AI across their operations today are finding that deploying AI in driving innovation, facilitating collaboration, and increasing automation creates tangible business value.
Innovation
Innovation is widely considered the engine that drives enterprise growth. Enterprises are turning to AI to boost their innovation culture and supercharge the development of new products and services. Executives recognize the power of AI in innovation with 32% responding to a Harvard Business Review survey saying one of their primary goals for AI initiatives is to create new products.
AI algorithms are helping organizations generate new ideas, identify emerging trends, and analyze customer preferences, behaviors, and feedback. This data is a valuable resource for developing new products and services that align with what consumers want.
By deploying AI technologies in product and service development, enterprises can enhance the creative process, accelerate innovation, and speed time to market – all of which provide a critical competitive advantage.
Engagement
The integration of AI into mobile messaging and engagement tools helps streamline communication, enhance efficiency, and drive employee engagement. AI-powered engagement tools can automate meeting scheduling to reduce time spent on administrative tasks, provide real-time translation to remove language barriers, summarize meetings to increase efficiency, and respond to queries to quickly surface needed information.
To boost productivity and improve user experience, NetSfere recently integrated secure AI capabilities into its all-in-one mobile messaging and engagement platform. NetSfere’s AI features are end-to-end encrypted, transforming mobile messaging and engagement while maintaining the highest level of security.
With NetSfere’s AI-powered mobile messaging platform, enterprises never have to worry about data security, privacy, and compliance. Using a proprietary natural language process and deploying end-to-end encryption allows enterprises to leverage the power of generative AI in an instantaneous, secure messaging environment. Designed for the workplace, NetSfere’s AI features don’t use any open-source data or functionalities and are always under complete control of the enterprise.
AI powered communication and engagement platforms like this are transforming the engagement experience, keeping teams better connected to enhance efficiency, drive engagement, and increase productivity.
Automation
Many enterprises today are using AI to automate time-consuming processes and streamline workflows. Deploying AI-powered automation technologies across operations provides the major benefit of allowing employees to focus on higher value activities and projects.
For example, AI automation tools are being used in sales for lead qualification, in HR for resume screening, in marketing for sending email campaigns and managing social media posts, and in operations for data entry and invoice processing.
Organizations are also using process automation to help employees become more productive. According to a survey by IBM, 30% of global IT professionals said employees at their organization are already saving time with new AI and automation software/tools.
While there are almost limitless applications of AI technologies in the enterprise, bringing the power of AI to innovation, collaboration and automation are three of the best value-add AI use cases in the enterprise.