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Yahoo! Finance Article Rating

Jim Cramer Says Analysts Like Salesforce.com inc. (CRM)'s 'Artificial Intelligence Optionality'

Sep 28, 2024 View Original Article
  • Bias Rating

    -50% Medium Liberal

  • Reliability

    35% ReliableAverage

  • Policy Leaning

    -50% Medium Liberal

  • Politician Portrayal

    N/A

Bias Score Analysis

The A.I. bias rating includes policy and politician portrayal leanings based on the author’s tone found in the article using machine learning. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral.

Sentiments

Overall Sentiment

5% Positive

  •   Liberal
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Bias Meter

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Bias Meter

Contributing sentiments towards policy:

64% : As businesses increasingly seek efficient CRM solutions in a digital-first world, Salesforce.com, inc. (NYSE:CRM) is well-equipped for ongoing growth, making it a compelling choice for investors.
60% : A major factor driving this success is Salesforce.com, inc. (NYSE:CRM)'s investment in artificial intelligence through its Einstein AI platform, which enhances its products and provides advanced analytics.
59% : In its Q2 2024 earnings report, Salesforce.com, inc. (NYSE:CRM) revealed revenue of $8.6 billion, a 10% increase from the previous year, along with a net income of $1.6 billion.
56% : Number of Hedge Fund Investors: 117 Salesforce.com, inc. (NYSE:CRM), a Club name, was upgraded to an "overweight" (buy) rating by Piper Sandler.
56% : The analysts believe that Salesforce.com, inc. (NYSE:CRM)'s free cash flow per share could more than double, reaching over $20 by fiscal 2029, compared to $9.65 in fiscal 2024.
54% : They also see significant potential in Salesforce.com, inc. (NYSE:CRM)'s artificial intelligence capabilities, which adds to its future growth prospects.
52% : In this article, we are going to take a look at where Salesforce.com inc. (NYSE:CRM) stands against the other stocks to watch according to Jim Cramer.

*Our bias meter rating uses data science including sentiment analysis, machine learning and our proprietary algorithm for determining biases in news articles. Bias scores are on a scale of -100% to 100% with higher negative scores being more liberal and higher positive scores being more conservative, and 0% being neutral. The rating is an independent analysis and is not affiliated nor sponsored by the news source or any other organization.

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