Get your data ready for GenAI on the ServiceNow Platform

Published: April 4, 2024
6 min read
GenAI isn’t a new concept; it’s become an integral part of our daily lives, both personally and professionally. However, the current structure of AI solutions often lacks the crucial business context needed for driving real-world outcomes.

This is where ServiceNow truly shines. ServiceNow bridges the gap between human intelligence and artificial intelligence, unlocking a new level of simplicity to achieve better business results. This partnership enables us to streamline workflows, improve service delivery, enhance decision-making, personalize user experiences, and drive innovation. With ServiceNow leading the way, we’re empowered to harness the full potential of AI in a business context, propelling us towards greater efficiency, productivity, and success.

ServiceNow’s Gen AI platform is changing the way businesses operate. From intelligent automation to personalised user experiences, generative AI promises to unlock a new level of efficiency and productivity. But before you dive into this exciting new frontier, there’s a crucial first step: ensuring your data is ready.

Gartner’s Data Maturity Model

Think of Gen AI as a powerful engine.  Just like any engine, it needs clean, high-quality fuel to run smoothly. In this case, the fuel is your data. By investing time in data quality now, you’ll be well-positioned to reap the maximum benefits of Gen AI later.

Here’s what you can do to get your foundation data in place for ServiceNow’s Gen AI:

  • Cleanse and Standardise:  Your data may contain inconsistencies, errors, and duplicates.  A data cleansing exercise will identify and rectify these issues.  Additionally, ensure all data formats are standardized across different systems for seamless integration.
  • Completeness is Key:  Gen AI thrives on comprehensive data sets.  Identify and address any missing information within your existing data.
  • Accessibility Matters:  Make sure your data is easily accessible by Gen AI.  Break down data silos and ensure all relevant data points are integrated into the ServiceNow platform.
  • Focus on Relevance:  Not all data is created equal.  Identify the data sets most critical for the specific Gen AI functionalities you plan to utilize.
  • Embrace Ongoing Data Governance:  Data quality is not a one-time fix. Establish a data governance framework to ensure the ongoing accuracy, consistency, and security of your information.

By following these steps, you’ll be laying a strong foundation for a successful Gen AI implementation.  Here’s the payoff:

  • Improved Accuracy: Clean data leads to more accurate AI models, resulting in better decision-making and fewer errors.
  • Enhanced Efficiency: Streamlined data processes free up resources and allow AI to handle repetitive tasks.
  • Personalized Experiences:  Gen AI can leverage quality data to personalize user experiences within the ServiceNow platform.
  • Faster Time to Value: With clean data ready, you’ll be able to leverage Gen AI capabilities quicker, maximizing your return on investment.

ServiceNow’s Gen AI represents a significant leap forward in enterprise automation and intelligence. By prioritizing data quality now, you’ll be well-equipped to harness the power of AI and transform the way your business operates.

Additional Resources:

See a demo of 5 top use cases of GenAI in the latest release of the Platform: Washington


Ashish Nahar

Ashish is the Director of Product and Solutions for Quintica Group across Africa and the Middle East.

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By investing time in data quality now, you’ll be well-positioned to reap the maximum benefits of Gen AI later.