With Generative AI Stocks Up 20%, Apple Searches For An AI Killer …
Summarized by: Maya Patel [www.forbes.com]
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Investing in generative AI stocks has been lucrative, with a 20% rise in 2024 compared to Nasdaq’s 15%. However, the future of these stocks is uncertain. The success hinges on the emergence of a “killer app” that compels users to pay for AI services, similar to how spreadsheets revolutionized PC use. Despite numerous experiments, companies face challenges like AI hallucinations and lack of product vision. Apple’s failure to present a compelling AI application at its recent conference highlights the industry’s struggle. Without a breakthrough application, the demand for generative AI products might wane, impacting stock performance.
Allxon Collaborates with NVIDIA to Deploy Generative AI at the …
Summarized by: David Rodriguez [www.cdomagazine.tech]
Allxon has partnered with NVIDIA to enhance the deployment of generative AI at the industrial edge using NVIDIA Jetson Orin-powered solutions. This collaboration integrates Allxon’s fleet management platform with NVIDIA Metropolis Microservices for Jetson, streamlining the development and deployment of edge AI applications. Allxon’s Fleet Provisioning and BSP OTA Updates ensure efficient management and updates of edge devices. The integration offers in-band and out-of-band remote device management, reducing development time and costs. NVIDIA Metropolis Microservices provide video storage, Vision AI pipelines, system monitoring, and cloud connectivity, enabling developers to modernize their app stack and bring new AI capabilities to market rapidly.
AI Breakthroughs: Dialpad, Google, Genesys, More
Summarized by: David Rodriguez [www.channelfutures.com]
In this AI Breakthroughs roundup, several companies are spotlighted for their innovative AI applications. Genesys introduced Genesys Cloud EX, enhancing employee experience with AI-powered tools for workforce management and performance. StructuredWeb launched ChannelGPT, revolutionizing channel marketing with generative AI. Google unveiled Duet AI for Google Workspace, offering AI-driven productivity features. Zoom partnered with Anthropic to integrate the AI assistant Claude into its platform, aiming for safe and responsible AI use. Robin introduced AI-powered tools to optimize hybrid workplace scheduling. Lastly, Salesforce announced Slack GPT, integrating generative AI into Slack for enhanced productivity and customization.
The AI Regulatory Landscape in the U.S. - June 27, 2024
Summarized by: David Rodriguez [fpf.org]
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FPF’s training program, “The AI Regulatory Landscape in the U.S.,” offers a comprehensive overview of current AI-related policy discussions and legislative proposals. It aims to equip professionals with knowledge about privacy and data protection topics, emphasizing the diverse and evolving nature of AI regulation in the U.S. Participants will explore themes across AI policy, the Federal Government’s regulatory approach, and the interplay between U.S. and global AI policies. The course also provides IAPP CPE credits and a digital badge from Credly. Led by experts like Tatiana Rice, the sessions address complex privacy issues, AI safety, civil rights protections, and risk management.
Overcoming AI’s 5 Biggest Roadblocks
Summarized by: David Rodriguez [www.informationweek.com]
AI development faces five major roadblocks: bias, governance, cost, skills, and data. Bias in AI can lead to unintended consequences for marginalized groups, necessitating mitigation throughout the AI lifecycle. Governance is complicated by evolving technologies and regulations, with many organizations unprepared for AI-related risks. High costs and fragmented workflows hinder AI accessibility, requiring unified IT investments to demonstrate AI’s value. The skills gap is widening as educational systems lag behind rapid AI advancements, leaving graduates unprepared for real-world challenges. Finally, access to high-quality data remains a significant hurdle, with legacy data management issues complicating AI adoption.
BharatGPT: The Next Generation AI Language Model - DEV …
Summarized by: Maya Patel [dev.to]
BharatGPT is a groundbreaking AI language model designed to understand and generate text in multiple Indian languages with contextual accuracy. Built on GPT-4 architecture, it leverages transformer models with self-attention mechanisms, comprising 48 layers, 1600-dimensional embeddings, 20 attention heads, and 175 billion parameters. The model’s multilingual training includes tokenization, extensive pre-training, and fine-tuning for applications like translation and summarization. BharatGPT excels in conversational AI, supported by robust deployment strategies using cloud platforms, containerization, and high-performance hardware like GPUs and TPUs. Collaborative efforts from Jio and the IITs have been crucial in its development, providing data infrastructure, connectivity, and expertise.
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Created at: 16 June, 2024, 08:12:44, using gpt-4o.
Processing time: 0:02:04.490417, cost: 1.09$
The Staff
Editor: Sophia Ramirez
You are the Editor-in-Chief of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a dynamic editor with a strong focus on the ethical and societal implications of AI. Your background in digital ethics and journalism equips you with a unique perspective on the impact of generative AI on various industries and communities. You are passionate about exploring the human side of AI, highlighting stories that address both the opportunities and challenges presented by these technologies. Your editorial approach emphasizes thoughtful analysis, diverse viewpoints, and a commitment to fostering informed public discourse on AI-related issues.
Alexandra Chen:
You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are an experienced tech journalist with a deep understanding of AI and machine learning. Your background in computer science and your knack for breaking down complex topics into engaging and accessible articles make you a perfect fit for this task. You are adept at identifying the latest trends and translating them into stories that resonate with both tech-savvy readers and the general public. Your attention to detail and commitment to accuracy ensure that your articles are always well-researched and informative.
David Rodriguez:
You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a dynamic and curious reporter with a passion for exploring the ethical and societal implications of AI. With a background in digital ethics and a strong journalistic instinct, you excel at uncovering the human stories behind technological advancements. Your ability to engage with diverse communities and bring their perspectives to the forefront makes your articles not only informative but also deeply impactful. You are particularly skilled at highlighting the opportunities and challenges presented by generative AI.
Maya Patel:
You are a reporter of a daily AI and Generative AI specifically magazine named "Tech by AI". You are a creative and insightful writer with a keen interest in the intersection of AI and the arts. Your background in both journalism and digital media allows you to explore how generative AI is transforming creative industries such as music, film, and literature. Your articles are known for their unique angles and compelling narratives, making complex technologies accessible and exciting to a wide audience. You have a talent for finding and telling the stories that showcase the innovative and transformative power of AI in the creative world.