This episode covers Jim Detert's article, which discusses the "deep rules" — unspoken organizational norms — that prevent honest communication about crucial issues like compensation, leadership, and company strategy. These unwritten rules lead to self-censorship among employees and hinder effective decision-making. Detert proposes three techniques to encourage open dialogue about these "undiscussables," focusing on prompting conversations about organizational follies, exploring fairness through a "veil of ignorance," and directly addressing unspoken issues. The ultimate goal is to foster open communication and fairer practices within organizations despite potential resistance to change. The author emphasizes the importance of leadership in initiating and responding constructively to such discussions.

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NVIDIA announced the Jetson Orin Nano Super, a more affordable and powerful generative AI supercomputer developer kit, priced at $249. This handheld device offers a significant performance boost (up to 1.7x) in generative AI compared to its predecessor, supporting various AI models for robotics, computer vision, and LLMs. Software updates will also enhance performance for existing Orin Nano users. The kit includes an Ampere architecture GPU, a 6-core Arm CPU, and support for multiple cameras, making it suitable for hobbyists, students, and professionals. A robust software ecosystem further supports development.

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This episode examines how workplace technology negatively impacts older workers due to age-related cognitive changes, such as reduced perceptual speed and working memory. Our source article highlights organizations' lack of age-inclusive technology design and training. The article emphasizes the need for businesses to prioritize technology training tailored to older workers, improve job design to compensate for cognitive decline, and leverage older workers' strengths. Ultimately, it advocates for creating a more supportive and inclusive work environment to maximize the contributions of older employees.

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This episode is about hiring the right candidate for the right job.

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This episode explains the differences between data warehouses, data lakes, and data marts for tech startups. It details their key features and use cases and explains how to implement them using Amazon Web Services (AWS). The article also discusses data mesh as a decentralized alternative and provides best practices for startups, emphasizing starting small, leveraging serverless options, and focusing on scalability and cost management. Finally, it stresses the importance of choosing the right data management strategy for efficient insight generation.

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In this episode of Kabir's Tech Dives, we explore how secure cloud infrastructure can unlock innovation and efficiency for startups. Learn how companies like Southwest Airlines and HelloSign accelerated their development cycles, minimized risks, and optimized resources with AWS solutions. From managing security to driving customer outcomes, discover actionable insights on integrating secure cloud practices into your startup’s growth strategy. Whether you're scaling your team or refining your product, this episode offers the blueprint for building fast, staying secure, and thriving in today’s competitive tech landscape.

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In this episode of Kabir's Tech Dives, we explore the top seven ways generative AI is reshaping industries and enabling startups to thrive in a competitive landscape. From enhancing customer experiences with virtual agents to accelerating marketing content creation and ideating groundbreaking products, we dive into actionable use cases that startups can adopt today. With real-world examples from innovators like Highspot and Automation Anywhere, discover how generative AI can drive efficiency, creativity, and measurable results for your business. Don't miss these insights into the future of AI-driven growth and innovation!

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In this episode, we explore how tech startups can harness the power of machine learning (ML) to overcome scaling challenges and accelerate innovation. Discover how solutions like Amazon SageMaker and Bedrock empower startups to integrate generative AI, optimize costs, and streamline ML workflows. We’ll unpack real-world case studies, including AI21 Labs and Forethought, to showcase the transformative impact of adopting scalable ML infrastructure. Whether you're building customer-centric applications or advancing R&D, learn actionable strategies to maximize productivity, drive innovation, and stay competitive in today’s fast-evolving tech landscape.

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