AI eating up industries?

PLUS: ๐Ÿ› ๏ธ GitHub Unleashes AI-Powered Code Fixer

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AI FOR CODING

๐Ÿ› ๏ธ GitHub Unleashes AI-Powered Code Vulnerability Fixer

GitHub is elevating its game in the battle against code vulnerabilities with the beta launch of its innovative auto-fix feature. This cutting-edge tool merges the immediacy of GitHub's Copilot with the depth of CodeQL, its semantic code analysis engine, to spot and rectify security flaws in real time during the development phase.

Image Credits: GitHub

๐Ÿ› Automatic Remediation: GitHub's new system boasts the ability to fix over two-thirds of detected vulnerabilities, often without requiring any direct code modifications by developers.

๐Ÿ“š Wide Coverage: The autofix feature aims to address more than 90% of alert types across supported programming languages, including JavaScript, Typescript, Java, and Python.

๐Ÿš€ Efficiency Boost for Teams: Mirroring the way GitHub Copilot alleviates mundane coding tasks, the code scanning autofix tool is designed to free up development teams from time-consuming remediation efforts, allowing security teams to concentrate on high-level protective strategies amid rapid development cycles.

๐Ÿง  Powered by AI and CodeQL: At its core, the autofix feature leverages GitHub's CodeQL engine for semantic analysis, enhanced by heuristics and GitHub Copilot APIs for suggesting fixes. These suggestions are further enriched by explanations generated by OpenAI's GPT-4 model, ensuring high accuracy while acknowledging the possibility of occasional misunderstandings.

GitHub's initiative not only promises to streamline the code remediation process but also represents a significant stride towards integrating AI deeper into software development, offering developers a smarter, faster way to ensure code security.

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  • Industry insights that will help you to deeply understand the industry's unique chargeback challenges

  • Tactics and strategies that will help you proactively prevent and effectively resolve chargebacks

Get your hands on the report and use it to educate yourself on how to safeguard your business against Chargebacks and win them

MICROSOFT AI

๐Ÿš€ Microsoft Integrates AI Deeply into New Surface Devices with Copilot Key

Microsoft has unveiled updates to its Surface line, highlighting the integration of AI functionalities, particularly through a dedicated Copilot key. This development was announced at an online event focused on AI advancements, showcasing Microsoft's commitment to weaving AI seamlessly into user experiences.

๐ŸŒŸ Dedicated Copilot Key: The newly introduced Surface Pro 10 for Business and Surface Laptop 6 for Business feature a special Copilot key for easy access. This key simplifies invoking Copilot in Windows, enabling users to plan their day efficiently, search documents using natural language, and more, all while ensuring data protection.

๐Ÿ’ก AI-Optimized Surface PCs: Marked as the "first Surface PCs optimized for AI," this launch signifies Microsoft's dedication to its AI projects. The addition of the Copilot key on the keyboard underscores the importance of Copilot in Microsoft's ecosystem, reflecting a commitment beyond fleeting trends.

๐Ÿ“ Enhanced Functionality: Among the highlighted features is handwriting analysis in OneNote, showcasing how AI can enhance productivity tools to understand and process user input more effectively.

๐Ÿข Focus on Business Users: Including the Copilot key in business-oriented models indicates Microsoft's vision of AI as a pivotal tool in enterprise settings, aiming to streamline various work processes.

๐Ÿ”ง Powerful Hardware Specs: Both the Surface Laptop 6 for Business and Surface Pro 10 for Business boast impressive specifications, including Intel Core Ultra processors, up to 64GB of RAM, and 1TB of storage, along with Intel's AI Boost NPU for enhanced AI capabilities.

Microsoft's latest Surface devices, with their focus on AI integration through the Copilot key, represent a blend of hardware innovation and AI-driven software enhancements. 

AI IMPACT OF JOBS


๐Ÿ“Š Exploring the Influence of AI on Various Job Sectors

As Generative AI and Large Language Models (LLMs) continue to evolve, their potential to reshape workplace dynamics and task execution is becoming increasingly evident. Recent studies have delved into the extent of AI's impact across different job departments, highlighting the transformative effects of this technology.

๐Ÿ” Research Approach and Insights:

To gauge the job functions most susceptible to AI disruption, analysts examined over 19,000 occupational tasks, focusing on those involving language processing. The criterion for assessment included the necessity of human intervention in completing these tasks. This methodology allowed for a nuanced understanding of AI's implications across various occupational groups.

๐ŸŽฏ Significant AI Impact Zones:

Image: Visual Capitalist

The Information Technology (IT) and Finance sectors emerge as the primary sectors where AI is poised to exert a considerable influence.

๐Ÿ–ฅ๏ธ IT Sector Transformation: In IT, the automation potential of AI spans software quality assurance and customer support. These areas stand to benefit from AI's capacity to streamline processes and enhance efficiency.

๐Ÿ’ผ Finance Sector Evolution: The finance domain anticipates AI's contributions in areas such as bookkeeping, accounting, and auditing. By leveraging AI, finance professionals can expect significant advancements in accuracy, speed, and analytical capabilities.

The unfolding AI revolution underscores a future where tasks within IT and finance, among other sectors, may undergo profound changes. As AI continues to advance, its role in automating language-based tasks and reducing the need for human intervention heralds a new era of operational efficiency and innovation.

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