Leading the Agentic AI Enterprise - Harnessing AI to Shape Decisions, Outcomes and Growth
- Bias Rating
- Reliability
50% ReliableAverage
- Policy Leaning
-10% Center
- Politician Portrayal
N/A
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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
26% Positive
- Liberal
- Conservative
| Sentence | Sentiment | Bias |
|---|---|---|
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Reliability Score Analysis
Policy Leaning Analysis
Politician Portrayal Analysis
Bias Meter
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Conservative
-100%
Liberal
100%
Conservative
Contributing sentiments towards policy:
63% : Enterprises are today at an inflection point of the next wave of enterprise transformation with agentic AI, which is all about action and execution.59% : An executive roundtable, organized by ETCIO in partnership with UiPath, on the topic 'Leading the Agentic AI Enterprise: Harnessing AI to Shape Decisions, Outcomes and Growth' convened CXOs from across industry verticals, including manufacturing, BFSI, energy, telecom, and technology, to explore the promises and challenges of agentic AI.
56% : With the right approach, organizations can move from skepticism to enthusiasm, transforming both operations and mindsets," explained Rangarajan Narasimhan, CIO - ASI & Global Automation Head, Vertiv Energy, and one of the early adopters of agentic AI.
*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.
