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Calculating the Cost of Your RAG-Powered Chatbot

  • Exploring cost considerations for implementing a RAG-powered chatbot for customer service.
  • Calculating expenses from script writing, document embedding, to database setup and integration efforts.
  • Breakdown of monthly costs including query embeddings, LLM API calls, hosting, and monitoring.
  • Detailed analysis provides insights on upfront investments and recurring operational expenses.
  • Building a cost-effective AI assistant entails careful planning and selecting tools within budget.

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3 Billionaires Who Lost Everything in the Dumbest Way

  • Three billionaires who made big mistakes and lost everything due to their own bad decisions: Eike Batista, Allen Stanford, and Elizabeth Holmes.
  • Eike Batista, once Brazil's richest man, lost his money after a failed oil company venture and got arrested for corruption.
  • Allen Stanford engaged in a $7 billion fraud, running a Ponzi scheme and was sentenced to 110 years in prison.
  • Elizabeth Holmes' Theranos company, valued at $9 billion, collapsed when her blood testing machine didn't work, leading to her imprisonment in 2023.

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The AI-Product Metrics Marriage: A Framework Built from Industry Success Stories

  • The article discusses a systematic disconnect between technical AI success and product success, highlighting three key reasons for this gap.
  • A five-step framework is proposed to bridge the technical-product gap, emphasizing outcome-focused questions, interconnected metrics in three tiers, and the importance of predictive and confirmatory metrics.
  • Successful AI product teams are found to use integrated dashboards, rigorous experimentation, and structured frameworks to improve both technical and business metrics.
  • The article concludes with insights on industry best practices and a practical roadmap for aspiring AI Product Managers to follow in bridging the technical-product gap effectively.

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Product Managers: Stop panicking about AI

  • Product Managers are worried about AI impacting their job security and skills.
  • AI can automate certain tasks, but PMs' value lies in strategic decision-making.
  • PMs provide human touch, relationship building, accountability, and strategic direction AI can't.
  • Adapting to AI involves focusing on unique skills like data analysis and strategic storytelling.

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Mastering the Art of the Shopify Product Launch Speech

  • During a product launch, the speaker's voice, body language, pacing, and excitement are crucial in captivating the audience.
  • Creating empathy and engaging the audience with relatable stories is more convincing than just presenting technical specifications.
  • Successful launch speakers make the customer the hero and involve the audience in the product narrative, leading to increased engagement and loyalty.
  • Emphasizing simplicity in the call to action and tying it to the audience's emotions can drive conversion and build confidence.

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Inspired by Marty Cagan: Key PM Lessons

  • Key lessons from Marty Cagan on product management and successful product teams.
  • A good UX, team collaboration, and early involvement of UX are crucial.
  • Product discovery, high-fidelity prototypes, and customer understanding are key elements of product success.
  • Prioritizing features, guiding decisions with principles, and creating user personas are important strategies.

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The Quiet Power of Calm Product Leadership

  • Calmness is seen as a powerful leadership quality, especially in the realm of product management.
  • A calm product leader stands out by listening, bringing clarity, and building trust within the team.
  • Creating a calm work environment enables real problem-solving, honest feedback, and creativity in design thinking.
  • Calm leaders empower their teams to take ownership, leading to products that are approached collectively and shipped with pride.

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Classes of measurable AI risk: Integrity risk vs. Consequential Risk

  • Organizational risk, a concept often overlooked, focuses on the risk of harm to organizations rather than individuals.
  • Organizational risk has two facets - business integrity risk and consequential risk - that must be treated holistically by organizations.
  • Quantified risk measurements are crucial for stakeholders to make informed decisions and plan for potential harms related to AI systems.
  • Understanding and measuring different types of AI risks is essential for organizations to plan, allocate resources effectively, and ensure long-term success.

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Demystifying Agent Workflows: How to Build Workflows With a Brain

  • Agent workflows are not magic but workflows with a brain, adding reasoning capabilities.
  • Traditional BPM involves step-by-step rules, while GenAI agents adapt live and make decisions.
  • Guardrails, like live policy checks and human oversight, are crucial for agent workflows success.
  • Effective storage strategies and feedback loops are key components for intelligent agent workflow implementation.

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Plaid Product Teardown: An API-First Platform for the Fintech Stack

  • Plaid, an API-first platform, connects users' bank accounts to apps like Venmo and Robinhood.
  • Plaid reverses-engineers legacy banking systems, normalizes data, and provides a secure API.
  • Plaid's developer-first approach includes tools like the Link SDK, sandbox environment, and tokenized auth.
  • Plaid's core strength lies in its abstraction layer and trust mechanics, but future challenges include offering richer insights and customization.

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Why Your Apex Code is One toString() Away from Breaking Production

  • Calling toString() directly on an object in Apex code can lead to NullPointerExceptions in production due to unexpected null values.
  • Using String.valueOf() instead of toString() is a safer alternative as it gracefully handles null values and adds negligible performance cost.
  • String.valueOf() is optimized internally and is recommended for defensive coding in Salesforce Apex to prevent production failures.
  • While String.valueOf() is generally preferred, there are specific cases, like UUID generation, where using toString() is more suitable.

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What Can the Gambling Industry Teach Us About Gamification and Growth?

  • To increase user engagement, products must tap into emotional triggers.
  • The gambling industry excels at gamification, leveraging emotional experiences for success.
  • Gamification fosters daily return habits through ownership, scarcity, and unpredictability.

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17 Likes

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Product Notes by Sai — The Product Thinking Playbook — With a Spotify Example

  • Product thinking is crucial in product management for success and focuses on user needs.
  • Understanding the problem before building solutions is vital to prevent startup failures.
  • Product journey involves understanding the problem first, then building the solution effectively.
  • Airbnb's success story showcases the importance of deep user empathy in product development.
  • Seven steps of product thinking guide from clarity to prioritization for effective product management.

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Case: Increase Adoption of Scheduled Deliveries on Zepto

  • Detailed narration of product discovery, user research, and problem framing on Zepto.
  • Segments narrowed based on market analysis and conversion ease, focusing on Tier 1 customers.
  • User personas Mitali and Manjot established, common pain points identified, and problem statement.
  • Target segment: Tier 1 frequent online grocery shoppers, importance, and value of solving problem.
  • Urgency addressed for prioritizing adoption of scheduled delivery feature on Zepto platform.

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9 Likes

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What Cloud Computing Is Really Teaching Me And Why Companies Like Nike Should Pay Attention

  • Cloud computing isn't just about where your app lives, it's about how your business thinks and the trade-offs involved.
  • The cloud x product mindset can be used to solve real-world issues in countries with outdated infrastructure, like building unified platforms.
  • Cloud plays a crucial role in economic self-determination, national strategy, small businesses, and community resilience, beyond tech companies.
  • Companies like Nike can benefit from integrating cloud thinking into their product strategies to improve areas like transparency, customer engagement, and community-driven initiatives.

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