Small businesses are still facing challenges in preparing their data for artificial intelligence (AI), despite a reported 52% success rate in operationalizing the technology among U.S. respondents, as per a recent Snowflake report titled “The Radical ROI of Gen AI.”
The survey, which gathered insights from 1,900 early AI adopter organizations worldwide, revealed that 64% struggle with integrating data from various sources, 59% face difficulties in enforcing data governance, and 59% find it challenging to measure and monitor data quality.
The belief that cloud computing would solve the issue of unprepared data for AI has not materialized as many businesses are hesitant to rely solely on a single cloud service provider, leading to continued data silos.
Artin Avanes, head of core data platforms at Snowflake, emphasized the importance of a solid data strategy to support any AI initiatives.
When it comes to making data AI-ready, 92% of SMB IT professionals have reported a positive return on investment post-implementation. However, the primary obstacle lies in preparing both structured and unstructured data for AI applications.
Generative AI tools are proving to be instrumental in simplifying the conversion of unstructured data, such as scanning thousands of PDFs to provide quick responses to user queries, a task that was previously laborious and error-prone.
Choosing the right generative AI tools is crucial for businesses, ensuring a seamless ingestion of unstructured data with a user-friendly search interface, eliminating the need for extensive data science expertise.
Generative AI can also aid in addressing data governance challenges by automatically applying access policies and data classification, streamlining the enforcement of policies without manual intervention.
Despite the hurdles, SMBs are seeing tangible benefits from AI investments, with 92% of early adopters claiming a positive ROI. Automating routine tasks, enhancing internal productivity, and integrating AI into workflows are yielding tangible results for businesses.
By leveraging AI-enabled platforms, sales teams can optimize lead generation, outreach efforts, messaging, and data analysis from various sources like Salesforce and ServiceNow, creating a more efficient and insightful sales process.
AI’s simplicity becomes evident when migrating legacy applications to modern platforms, a complex task that can be automated with the latest AI models, reducing costs, resources, and time significantly.
In conclusion, AI is proving to be a valuable asset for SMBs, offering a high return on investment, enhanced productivity, and streamlined processes. Embracing generative AI tools and leveraging AI in workflows can lead to significant benefits for businesses looking to stay competitive in a data-driven landscape.
