<p>Author: Li Xiaoyin</p>
<p>Source: Hard AI</p>
<p>Recently, Citigroup participated in the Gartner Data Analytics Summit and released a post-event report on March 20th. After discussions with partners, suppliers, and customers, Citigroup stated in the report that the development expectations of generative AI may exceed fundamentals.</p>
<p>Overall, generative AI remains the top concern for most attendees, but the scale of projects and the nature of use cases are still relatively small. Enterprises will face ongoing innovation pressure and intense competition. In the future, they will need to make strategic adjustments in new technology research and development, partnership building, and market positioning to maintain a competitive advantage.</p>
<p>Regarding specific AI companies, Citigroup has varying views:</p>
<h2>Microsoft - Positive</h2>
<p>By continuously expanding its generative AI platform, Microsoft is leading market trends. In particular, the updates to Azure AI Studio and Copilot features have garnered high industry attention.</p>
<p>Microsoft's close collaboration with Databricks and OpenAI has driven the application of GenAI technology in various applications, but its Fabric platform still requires further investment and strengthening.</p>
<h2>Snowflake (SNOW) - Mixed</h2>
<p>The Cortex platform has a strong advantage in accelerating application production. However, compared to Databricks and other competitors, shortcomings in cost management and workload management technologies may affect its market competitiveness.</p>
<h2>Oracle (ORCL) - Neutral</h2>
<p>Although its OCI second-generation products have been recognized, large-scale ERP migration projects remain scarce, and customers are progressing slowly in migrating to the cloud and GAI projects.</p>
<h2>Confluent (CFLT) - Neutral</h2>
<p>Despite Kafka maintaining a dominant position among developers, its profit opportunities may be affected in the face of competition from larger suppliers like IBM and Cloudera.</p>
<h2>Informatica (INFA) - Neutral</h2>
<p>Emphasizing data governance and data quality, but customers still perceive it as a traditional ETL platform. Facing fierce competition from emerging niche vendors, there is still a need to accelerate the transformation of traditional ETL tool vendors' image.</p>
<h2>Teradata (TDC) - Neutral</h2>
<p>Although launching AI Unlimited and Vantage serverless products aimed at breaking the traditional image, changing customer perceptions remains challenging. Most customers still prioritize SNOW or Databricks in modernization efforts</p>

ORCL

SNOW

MSFT

<p>Citigroup continues to be bullish on Microsoft in its report, maintains a neutral view on Oracle, and sees Snowflake as potentially "mixed blessings"</p>

First-hand feedback: How is the customer acceptance of AI software from Microsoft, Oracle, and Snowflake?