Tag Archives: Machine learning

20May/25

Generative AI’s Impact on Software Development: A DORA Perspective

May 20, 2025 /Mpelembe Media/ — This report from DORA explores the impact of generative AI on software development, analyzing both the challenges and opportunities it presents. It examines how AI affects individual developers’ productivity and well-being, finding both benefits and unexpected trade-offs. The document also addresses the organizational perspective, considering how AI influences processes like code quality and delivery speed, while acknowledging a potentially negative short-term impact on delivery performance. Finally, it proposes practical strategies for fostering developer trust, promoting responsible AI adoption, and measuring success within organizations.

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28Apr/25

People trust legal advice generated by ChatGPT more than a lawyer – new study

Eike Schneiders, University of Southampton; Joshua Krook, University of Southampton, and Tina Seabrooke, University of Southampton

People who aren’t legal experts are more willing to rely on legal advice provided by ChatGPT than by real lawyers – at least, when they don’t know which of the two provided the advice. Continue reading

21Jan/25

PwC 2025 Global CEO Survey: Optimism and Reinvention

Jan. 21, 2025 /Mpelembe Media/ — PwC’s 2025 Global CEO Survey reveals widespread optimism regarding global economic growth, with nearly 60% of CEOs anticipating increased growth and many planning headcount expansion. Despite this optimism, macroeconomic volatility and inflation remain significant concerns. Continue reading

09May/24

OpenAI’s content deal with the FT is an attempt to avoid more legal challenges – and an ‘AI data apocalypse’

Mike Cook, King’s College London

OpenAI’s new “strategic partnership” and licensing agreement with the Financial Times (FT) follows similar deals between the US tech company and publishers such as Associated Press, German media giant Axel Springer and French newspaper Le Monde.

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12Mar/24

Google Cloud Announces New Generative AI Advancements for Healthcare and Life Science Organizations

Today at HIMSS24, Google Cloud announced several new solutions to help healthcare and life sciences organizations enable interoperability, build a better data foundation for their businesses, and deploy generative AI (gen AI) tools to improve patient outcomes. Continue reading

10Oct/23

THALES PARTNERS WITH GOOGLE CLOUD TO BUILD NEW, GENERATIVE AI-POWERED SECURITY CAPABILITIES

  • New AI-powered features built into the CipherTrust Data Security Platform utilizing Google Cloud’s foundation models and generative AI support in Vertex AI1 to automate the Discovery and Protection of critical data
  • Collaboration will enable the automation of fundamental tasks for customers and help ensure data security Continue reading
16Jun/23

How do you start a sentiment analysis project?

June 16, 2023 /Developers/ — Sentiment analysis is the process of determining the emotional tone of a piece of text. It is a subfield of natural language processing (NLP) that deals with identifying and extracting subjective information from text. Sentiment analysis is often used to understand customer sentiment, brand reputation, and social media trends.

There are two main types of sentiment analysis: Continue reading

10Jun/23

Are AI-Generated Images Biased?

David Ngure  Cybersecurity Researcher
Updated on 16th March 2023 – Artificial intelligence image generators use machine learning and mathematical algorithms to create images from a description written in natural language. With OpenAI making DALL-E available to the public, and Microsoft adding AI-image generators to products like Bing and Microsoft Edge, the technology is becoming more accessible to the general public.

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01May/23

Quickly extract key insights from complex data

May 1, 2023 /Technology/ — Artificial intelligence (AI) can be a valuable tool for data exploration. It can help to increase speed, improve accuracy, and reduce costs. However, it is important to note that AI is not a replacement for human analysts. AI can help to automate tasks, but it is still important for human analysts to be involved in the data exploration process to ensure that the results are accurate and meaningful. AI is used in data exploration in a variety of ways. Some of the most common uses include:
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