Utilizing Data Within ServiceNow’s Platform, Generative AI Solutions Are Enhancing Operations

Data, Generative AI, Platform, ServiceNow, Solutions

The Role of SaaS Vendors in Generative AI Implementation

Generative AI is rapidly transforming various industries by enabling machines to generate or create content and solve complex problems. However, for successful implementation, access to meaningful data is crucial. SaaS vendors, with their vast and diverse data repositories, have a built-in advantage in this regard. By leveraging their own platform data, SaaS companies can develop business-centric models that provide better insights and drive intelligent automation.

ServiceNow, a pioneer in adopting generative AI, has been utilizing its platform data to build more practical and efficient models. According to Chris Bedi, the CIO of ServiceNow, a model is only as good as the platform it is built on. It should be attached to an experience or a workflow to have a meaningful impact. ServiceNow focuses on building a full-stack generative AI platform that optimizes workflow creation, integration, and optimization. This approach enables the company to impact processes across multiple departments and platforms, enhancing efficiency and productivity.

ServiceNow’s generative AI capabilities are divided into three key areas. The first area is systematically addressing requests from customers, suppliers, or employees. By leveraging AI, ServiceNow aims to provide faster and more accurate responses to inquiries. The second area involves enhancing the capabilities of agents in various departments, such as HR, IT, or customer service, by automating repetitive tasks and improving productivity. The third area focuses on accelerating innovation through automation. ServiceNow envisions automation tools that can transform text to code, enable text-to-automated workflow conversion, and even convert images of diagrams or brainstorming sessions into workflows.

To achieve its goals, ServiceNow adopts a unique AI strategy that combines building, buying, and partnering. The company acknowledges the importance of cohabitating with AI partnerships established by its customers, such as Nvidia and Microsoft, while also providing out-of-the-box AI experiences. Additionally, ServiceNow combines in-house development with targeted acquisitions to enhance its AI platform further. This multifaceted approach enables the company to cater to customers with varying degrees of AI readiness and requirements.

ServiceNow’s investment in AI and generative AI has been paying off, and customers have witnessed positive results. Now Assist, an AI-powered feature from ServiceNow, has demonstrated improved business metrics, including ticket deflection, knowledge base summarization, and enhanced customer experiences with virtual agents. Customers appreciate the cost and team productivity benefits enabled by generative AI.

Chris Bedi envisions AI implementation in two phases. The first phase, Mode One, focuses on leveraging AI technology to incrementally improve existing workflows and processes. This entails using AI to optimize the way work is organized and executed. However, the more exciting phase, Mode Two, involves reimagining work processes and implementing entirely new AI-driven ways of functioning. In Mode Two, companies analyze work processes from scratch and determine which tasks can be automated and which require human intervention. This forward-looking approach acknowledges the potential of AI in revolutionizing work practices.

Moreover, ServiceNow doesn’t limit its AI efforts to external applications but also strives to enhance its internal operations. The company has developed the AI Control Tower, an in-house AI platform that provides a unified experience for application developers. This platform empowers engineers by providing the flexibility to choose the AI model that best suits their needs without requiring extensive management efforts. ServiceNow treats AI models as assets and ensures their operational resilience and security.

As ServiceNow continues to evolve, its approach to generative AI integration demonstrates a commitment to enhancing customer experiences and achieving digital transformation. The company is working towards reimagining and optimizing every aspect of work through generative AI. This involves tackling higher-level tasks, harnessing better tools, and establishing effective collaboration between humans and AI.

In conclusion, SaaS vendors like ServiceNow have a distinct advantage in implementing generative AI due to their access to meaningful data within their own platforms. By leveraging this data, SaaS companies can build practical and business-centric AI models that enhance workflow optimization, integration, and innovation. ServiceNow’s strategy of combining building, buying, and partnering ensures it can cater to customers at various stages of AI readiness and facilitates seamless AI implementation. By embracing both incremental improvements and future-oriented AI-driven processes, ServiceNow is positioning itself at the forefront of generative AI integration.

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