McKinsey & Company has integrated an AI tool to enhance its efficiency in creating presentations and writing proposals. This innovative tool streamlines the process, allowing consultants to generate high-quality content quickly and effectively. By leveraging artificial intelligence, McKinsey aims to reduce time spent on these tasks, enabling consultants to focus on critical strategic work and client interactions. The AI tool analyzes data, offers relevant insights, and assists in crafting tailored presentations, enhancing both productivity and the overall quality of deliverables. As the firm embraces digital transformation, this move highlights McKinsey’s commitment to integrating cutting-edge technology in its operations, ensuring it remains competitive in a rapidly evolving consulting landscape. Ultimately, the use of AI in such tasks reflects a broader trend in the industry toward automation and innovation, promising significant improvements in workflow efficiency and client service.
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McKinsey Leverages AI Tool for Enhanced Presentations and Proposal Writing – Tech in Asia
Surge in ChatGPT Adoption Across South Korea
ChatGPT usage is surging in South Korea, ranking second globally in paid subscriptions after the U.S., according to OpenAI. The company’s Chief Strategy Officer noted Korea is among the top five countries for ChatGPT business users and ranks high in overall usage and developer activity. However, experts caution that these metrics don’t necessarily signify true AI leadership. The Korea Herald suggests that Korea’s strong digital infrastructure and smartphone access account for the rapid adoption, rather than advanced technological capability. In April 2025, 17.4 million Koreans used the ChatGPT mobile app, but experts argue that the absence of detailed subscriber data limits understanding of the market. Kang Jung Soo, of BludotAI, emphasized that high accessibility, not premium usage, drives growth, pointing out that while Korea’s interest in AI is robust, it doesn’t imply a dominant or mature market. Historical events, like the AlphaGo match, have further fueled public interest in AI.
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Unveiling Google’s SynthID: The New Tool for Detecting AI-Generated Content – How Does AI ‘Watermarking’ Work?
Google has introduced SynthID Detector, a tool designed to identify AI-generated content across various media formats, including text, images, videos, and audio. However, it currently serves only “early testers” and primarily detects content generated using Google’s AI services. SynthID works by recognizing a digital watermark embedded in outputs from these services, not by identifying AI-generated content universally. This fragmentation is further complicated by various companies, like Meta, developing their own model-specific detection tools, leaving users to navigate multiple systems. Additionally, methods such as forensic cues and metadata face limitations, especially when content is altered or shared online. While AI detection tools can effectively identify purely AI-generated content, challenges arise when AI edits human-created works. Consequently, understanding these tools’ limitations and integrating various verification methods remain crucial in addressing authenticity in an increasingly AI-driven landscape.
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Thomson Reuters Previews Launch of Agentic CoCounsel AI for Legal: Empowering Advanced Workflows
Thomson Reuters has launched the next generation of its CoCounsel AI platform, shifting from conventional assistants to intelligent systems that can plan, reason, and manage complex workflows in professional settings. Initially available for tax, audit, and accounting professionals, with legal features anticipated this summer, the platform introduces agentic workflows for tasks like document drafting and compliance assessments. Davidson Wong, Thomson Reuters’ Chief Product Officer, emphasizes that this approach transcends typical AI tools by allowing systems to understand broader objectives and seamlessly integrate into professional workflows. Legal professionals will benefit from features that streamline tasks like drafting demand letters and analyzing depositions, significantly reducing task durations—up to 63% less time for certain activities. The development, bolstered by the acquisition of AI startup Materia, highlights a commitment to integrated solutions leveraging existing infrastructure while maintaining high data security. CoCounsel’s capabilities position it as a groundbreaking tool for professionals in various fields.
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Leveraging Generative AI with Pandas: Crafting DataFrame Summaries Using LLMs – Towards Data Science
The article discusses leveraging generative AI, specifically large language models (LLMs), to create summaries of Pandas DataFrames. It highlights how combining LLMs with data manipulation libraries like Pandas can enhance data analysis and reporting. The author demonstrates techniques for using LLMs to generate concise descriptions of complex datasets, making it easier for users to understand the data’s key insights without diving deep into the raw numbers. The approach not only saves time but also aids in interpreting results by producing human-readable summaries. Various use cases are presented, showcasing the effectiveness of AI in simplifying data tasks and improving productivity for analysts. The integration of generative AI streamlines the analytical process, facilitating better decision-making and enhancing overall data comprehension. Overall, the article emphasizes the potential of AI tools in transforming conventional data analysis methodologies.
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Generate AI Videos Using Microsoft’s Search Engine
Microsoft has launched the free Bing Video Creator in its mobile app, allowing users to create short AI-generated videos easily. This release follows the introduction of the Bing Image Creator two years ago and the Copilot Search feature earlier this year. The Bing team aims to empower users to turn their ideas into videos, enhancing creative expression. Currently available on iOS and Android, users can access the tool by tapping “Video Creator” in the app menu or typing “Create a video of…” in the search bar. Videos are limited to 5 seconds and formatted in 9:16, with the option for 16:9 coming soon. Users can queue up to three videos at a time, and while standard generation is free, users also receive 10 Fast creations at launch, with subsequent Fast videos available for 100 Microsoft Rewards points each. Videos are stored for 90 days before deletion.
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FDA Unveils Cutting-Edge AI Tool to Enhance Drug Review Processes
The U.S. Food and Drug Administration (FDA) launched Elsa, a generative AI tool aimed at modernizing its operations, allowing employees to work more efficiently. Marking a significant move into AI, Elsa facilitates quick searches and summaries of internal documents while safeguarding sensitive data, as it doesn’t utilize proprietary information from regulated industries. Developed in a secure GovCloud environment, the tool reduces the time spent on repetitive tasks, enhancing the review process for clinical protocols and scientific evaluations. FDA Commissioner Dr. Marty Makary noted the project was completed ahead of schedule and under budget, thanks to collaborative efforts among internal teams. As Elsa is utilized, its capabilities will be expanded based on employee feedback, focusing on usability and compliance with FDA policies. This launch is seen as the beginning of a broader strategy to fully integrate AI into FDA workflows, led by Chief AI Officer Jeremy Walsh and Senior Officer Sridhar Mantha.
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FDA Unveils AI Tool ‘Elsa’ Ahead of Schedule
The US Food and Drug Administration (FDA) has launched a new AI tool named “Elsa” earlier than anticipated. This agency-wide initiative is designed to enhance regulatory processes related to various sectors, including biologics, vaccines, medical devices, and pharmaceuticals. By leveraging artificial intelligence and machine learning, the tool aims to improve efficiency and effectiveness in regulatory decision-making. The FDA’s leadership anticipates that “Elsa” will streamline workflows and facilitate better oversight in the fast-evolving landscape of medical products. This timely deployment underscores the FDA’s commitment to harnessing technology to ensure safety and innovation in healthcare. The move is part of a broader effort to integrate AI/ML capabilities into regulatory practices, reflecting the agency’s adaptive approach to contemporary challenges in the medical field.
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Uplift Aerospace Unveils EdTech Division to Develop AI and VR Tools
Uplift Aerospace, based in Utah, is launching an EdTech Division to create virtual reality (VR) and artificial intelligence (AI)-driven learning tools. This initiative will focus on developing scalable training modules in two key areas: STEM education for classrooms and workforce development. The goal is to enhance learner engagement and retention while minimizing training costs and time. Building on the success of its STEM platform, Starborn Academy, Uplift has already rolled out programs in schools across Utah, Colorado, and California, with notable results such as increased interest in STEM careers among students. Led by a team of VR and AI specialists, the EdTech Division aims to offer personalized, adaptive learning experiences suitable for both classroom instruction and professional training. The expansion highlights the growing importance of immersive technology in education and workforce upskilling. Educators can explore partnership opportunities via the new Starborn Academy website, which includes testimonials showcasing the program’s impact.
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Major Upgrade Unveiled for Indonesian Language Model
GoTo, Indonesia’s largest digital ecosystem, and Indosat Ooredoo Hutchison (IOH) have launched an upgraded version of Sahabat-AI, an Indonesian large language model (LLM). Initially featuring eight to nine billion parameters, the new version boasts 70 billion parameters, enhancing accuracy and enabling a chat service with strong reasoning capabilities. Sahabat-AI now operates in five local languages—Bahasa Indonesia, Javanese, Sundanese, Balinese, and Bataknese—alongside several international languages, highlighting efforts to preserve local dialects amid global AI advancements predominantly driven by the US and China. This LLM connects with rural Indonesians who may not speak English or standard Bahasa. Additionally, it supports Indonesia’s digital sovereignty by storing data within the country, in compliance with national regulations. The model can be downloaded freely, promoting collaboration and innovation within Indonesia’s AI ecosystem, allowing diverse users—from startups to public institutions—to incorporate AI into their operations.
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