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AI in 2024: Top Stories (So Far)
Our most-read AI articles explore AI automation in coding and emerging security and ethical concerns.
ITPro Today Staff
July 25, 2024
3 Min Read
Alamy
As AI permeates more aspects of daily life, industries have adjusted to its new use cases and risks.
Our top articles about AI have covered a range of topics during the first half of 2024. Several stories examine how tools such as Copilot and ChatGPT have affected software developers. Others explore AI-driven growth for public cloud providers and AI security threats.
Here’s a roundup of our top AI stories in 2024 so far.
1. Microsoft’s AI Copilot Is Starting to Automation the Coding Industry
GitHub Copilot has significantly influenced the coding industry by automating repetitive and time-consuming tasks such as debugging and generating code snippets, purportedly saving developers hundreds of hours monthly. Learn about companies implementing Copilot.
Related: Developers’ Guide to Unlocking the Power of Open Source LLMs
2. One Year In: How Has ChatGPT Impacted Software Development?
AI tools like ChatGPT have made waves in software development by automating coding tasks, enhancing productivity, and facilitating rapid prototyping. Technology analyst Christopher Tozzi details generative AI’s growth and limitations.
Related: AI-Assisted Development Tools vs. Low Code/No Code: What to Use When
3. Why Prompt Injection Is a Threat to Large Language Models
Developers must now address the risk of prompt injection, a type of cyberattack targeting large language models and chatbots. By manipulating prompts, attackers can trick these models into performing unauthorized actions or revealing sensitive information.
Related: Microsoft Creates Tools to Stop Users From Tricking Chatbots
4. Data Analytics and Data Management Predictions 2024 From Industry Insiders
Experts predicted that AI would shape top data analytics and data management trends in 2024. They forecasted a rise in the role of the Chief Data Officer, broader use of generative AI, and a stronger focus on data governance and privacy.
Related: World’s Most Extensive AI Rules Approved in EU, Despite Criticism
5. Big 3 Cloud Providers Continue to Outperform as AI Drives Growth
The top three public cloud providers, Microsoft Azure, Google Cloud Platform, and Amazon Web Services, reported strong gains in cloud computing revenues, driven by the growing demand for AI services.
Related: How AI Is Poised to Upend Cloud Networking
6. Could Microsoft’s AI Strategy Tank Its Reputation?
Microsoft’s heavy reliance on AI, particularly through its partnership with OpenAI, endangers its reputation. While collaboration has financial benefits, negative perceptions of OpenAI’s approach to AI safety could tarnish Microsoft’s image.
Related: Microsoft’s AI Assistants Will Revolutionize the Office – One Day
7. Master AI Cybersecurity: Protect and Enhance Your Network
Given AI’s meteoric rise in nearly every industry, cybersecurity professionals must master AI cybersecurity concepts. This guide explains the benefits of using AI in cybersecurity and how to prepare for enhanced cyber threats caused by attackers’ use of AI.
Related: AI in Healthcare Requires Vigilant Security Measures
8. NIST Creates Cybersecurity Playbook for Generative AI
A NIST report published in January detailed various cyberattacks targeting AI systems, including evasion, poisoning, privacy, and abuse attacks, and emphasized the need for improved defenses.
Related: Guidance Published To Help Developers Build Safer AI
9. AI Basics: A Quick Reference Guide for IT Professionals
This downloadable guide aims to help IT professionals grasp AI’s key concepts and technologies. If you have existing AI knowledge but need to learn how to convey the principles to non-technical people, this guide is also for you.
Related: AI Quiz 2024: Test Your AI Knowledge
10. DEI in AI: With Great Potential Comes Great Responsibility
Helen Kelisky of Google Cloud discusses why diversity within AI teams is critical for creating ethical and inclusive AI systems. She advocates integrating DEI principles into AI development to ensure that AI tools serve all users fairly and responsibly.
Related: How CIOs Can Integrate AI Among Employees Without Impacting DEI
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