Rachana Saha

Rachana Saha is a freelance writer and editor with over five years of experience in covering topics related to technology, business, finance, and investing. She has written for various online platforms such as Analytics Insight, DataFlair, TechPornia, and The Startup. She holds a Bachelor's degree in Computer Science from the Indian Institute of Technology (IIT) Kanpur and a Master's degree in Business Administration from the University of California Berkeley. Rachana is passionate about exploring the latest trends and innovations in AI, blockchain, cryptocurrency, and other emerging technologies. She believes that these advancements have the potential to transform various aspects of our lives and society for the better. However, she also recognizes the need for responsible use of AI and ethical considerations in its development and implementation. In her spare time, Rachana enjoys reading books on philosophy, psychology, history, and science fiction. She is an avid traveler who loves to experience different cultures and cuisines around the world.

Biography:  https://www.analyticsinsight.net/artificial-intelligence-biggest-investment-theme-of-2024/

53%

The overall score is a weighted number that takes into account conflict of interest, bias, deception and other practices that undermines the credibility of the source. It is calculated as:
Analysis.OverallConflictOfInterestScore * 0.3F + Analysis.OverallBiasScore * 0.3F + Analysis.DeceptivenessScore * 0.3F + Analysis.ReadabilityScore * 0.1F

A score that takes into consideration the content for flow, interruptions with ads, and overt search engine optimization techniques that makes the content hard to understand

The Daily's Verdict

This author has a mixed reputation for journalistic standards. It is advisable to fact-check, scrutinize for bias, and check for conflicts of interest before relying on the author's reporting.

Bias

50%

Examples:

  • The author seems to have a positive view of AI and its potential benefits for various sectors. However, the article does not provide any evidence or sources to support these claims.
  • The author uses vague terms such as “surge” and “significant improvement” without defining what they mean by them or providing any data to back up their assertions.

Conflicts of Interest

50%

Examples:

  • The author ends with an advertisement for their WhatsApp and Telegram community, which is also likely to be biased in favor of their own interests.
  • The author promotes their own website as a source of information and advice on AI investments. This creates a conflict of interest and undermines the credibility and objectivity of the article.

Contradictions

50%

Examples:

  • The author claims that IBM is committed to training two million learners in AI by 2026 for inclusive opportunities in the field. However, this contradicts the fact that many people are still struggling to access quality education and training in AI due to lack of resources, infrastructure, and digital divide.
  • The author states that ethical considerations and transparency in AI decision-making processes are becoming paramount. However, the article does not explain what these ethical standards or values are or how they will be enforced.

Deceptions

50%

Examples:

  • The article does not address the fact that many existing jobs in various sectors may be automated or replaced by AI technologies, leading to massive unemployment and underemployment for human workers.
  • The article uses phrases such as “synergy between AI capabilities and human expertise” and “balanced and informed approach” to suggest that AI can replace or augment human decision-making without any negative consequences. However, these statements are deceptive as they ignore the potential risks, challenges, and limitations of relying on AI.

Recent Articles

AI and Automation in Business: Trends to Watch in 2024

AI and Automation in Business: Trends to Watch in 2024

Broke On: Monday, 08 January 2024 In 2024, AI and automation will become more prominent in businesses. Teams in the tech sector will face tighter budgets as organisations aim for full automation of their processes and workflows. More AI training among staff is required before businesses can use this technology effectively. Generative artificial intelligence and large language models are becoming more embedded into products people may actually want to buy, with companies like Intel and Qualcomm racing to make mainstream PCs designed for AI features.