Analytics Insight

Analytics Insight is a print and digital publication focused on disruptive technologies such as Artificial Intelligence, Big Data Analytics, Blockchain and cryptocurrencies. The platform features opinions and views from top leaders and executives in the industry who share their journeys, experiences, success stories, and knowledge to grow profitable businesses.

72%

The Daily's Verdict

This news site 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 its reporting.

Bias

60%

Examples:

  • The article does not provide any critical analysis or evaluation of the ethical, social, and environmental impacts of AI on society.
  • The article seems to have a positive bias towards AI and its potential benefits for various industries. It does not question or challenge the assumptions behind AI development or deployment.
  • The article uses phrases such as ‘sustainable AI’ and emphasizes the importance of prioritizing AI talent development for inclusive opportunities in the field. These statements suggest that there is a moral imperative to ensure that everyone has access to these opportunities, which may not be true or feasible.

Conflicts of Interest

80%

Examples:

  • . DALL-E images are now more editable.
  • `The new select button is depicted as a swooping paintbrush icon on desktop, while users can also use their finger to highlight areas with the ChatGPT mobile app.

Contradictions

50%

Examples:

  • Dystopian Industrial Cityscape
  • Enchanted Forest
  • Victorian Masquerade

Deceptions

75%

Examples:

  • Dystopian Industrial Cityscape
  • Enchanted Forest
  • Victorian Masquerade

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.