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According to Wall Street, the growth stock is down 68% to buy before the turnaround

Snowflake (NYSE: SNOW) The stock went public in late 2020, and shares peaked during the pandemic-era tech sector’s surge in late 2021. The stock has since fallen about 68% from that all-time high, but Wall Street is seeing a turnaround on the horizon. Among the 45 analysts covering the company, the average price target is $169 per share – 33% higher than the current share price of $127.

Snowflake’s cloud-based platform allows customers to integrate, store, transform and understand their data. It also has a marketplace for data sharing and monetization, creating a network effect that makes the platform increasingly useful as more customers join. Importantly, the architecture is cloud-agnostic: the platform runs on all systems of the major cloud infrastructure providers. That distinguishes Snowflake from the analytics solutions of Amazon And Microsoft.

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Snowflake was one of several high-growth tech stocks that soared during 2021’s market mania, then crashed back to earth during 2022’s bear market. More recently, the stock continued to struggle as investors reacted to news of a hacking. incident that affected more than 160 of its customers, the retirement of CEO Frank Slootman and concerns about the company’s investments in artificial intelligence (AI).

However, with the share price down so far, it’s worth taking a closer look today, especially as the recent headwinds are transitory. The cybersecurity incident was limited to customers who had not properly secured their data. Importantly, it was not caused by “any vulnerability, misconfiguration or breach of Snowflake’s product,” the company said in a joint statement with third-party experts Mandiant and CrowdStrike.

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Moreover, Slootman praised his successor, Sridhar Ramaswamy. “As a leading cloud data platform, Snowflake is at the epicenter of the AI ​​revolution,” he said. “There is no better person than Sridhar to lead Snowflake into this next phase of growth and seize the opportunities ahead in AI and machine learning.”

Finally, the company has invested in the development of AI products. Cortex is a fully managed service that allows companies to process data with large language and machine learning models trained for answer extraction, text summarization, prediction, and anomaly detection. It also includes a conversational interface that allows users to ask questions about their data in natural language and get meaningful answers.

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