Thuan Pham

THIS ONE is a must watch !!! Kudos to Sarah Guo and Elad Gil for a fascinating discussion with Matt Garman about the past, present, and future of Amazon Web Services (AWS). #AIDecade #InvestorDecade

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🌐 Excited to introduce my conversation with Ash Vijayakanthan SVP of Cloud Sales and BD Partnerships at Redis, live from Google Cloud’s Marketplace Exchange! Redis, a favorite among developers, plays a crucial role in the data ecosystem, powering applications with high-performance caching and database solutions integral to GenAI. In this episode, Ash shares how Redis is leveraging Google Cloud Marketplace to meet customer demand for faster procurement and scaling, especially in light of large cloud commitments. Redis’s marketplace strategy not only retains customers but also expands deal sizes and accelerates closing times. Ash discusses Redis’s comprehensive partner program, enabling ISVs, OEMs, and SIs to build on the Redis platform, offering them both growth opportunities and collaborative engagement with Redis’s ecosystem. Ash’s advice to partners? Invest in the marketplace and empower your sales teams to maximize its potential—a strategy that’s driving Redis’s top-down engagements and delivering significant business value. Tune into The Ultimate Guide to Partnering to learn how Redis is redefining co-selling and scaling with Google Cloud! Watch here:https://lnkd.in/e4tFrfuZ

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My LLM — compression, expansion, and translation (the best about any topic—in the right form for any given context) Tired of information overload? LLMs can help you cut through the noise. To distill complex data into the core knowledge that matters… I leverage LLMs capability to — compress, expand, and translate.  To make knowledge easier to find and apply. Examples for my everyday applications of compression, expansion, and translation: →Compression← ‾‾‾‾‾‾‾‾ →← Summarize conversations:  From Zoom meetings to podcast insights and YouTube video transcripts,  I use AI to distill lengthy discussions into concise summaries. →← Scan research papers:  I upload documents to ChatGPT to extract insights, providing my specific questions in mind →← Speed-read books:  With Blinkist, I skim key insights quickly and explore related content with its AI recommendations ←Expansion→ ‾‾‾‾‾‾‾‾ ←→ Content creation:  To expand initial ideas into detailed content drafts for marketing materials, such as landing pages. I especially leverage the 5 Lightbulbs by Billy Broas that help me with initial ideas. ←→ Idea generation:  Starting from a simple prompt, LLMs help me brainstorm and explore ideas further. E.g. for finding new connections with Smart Connections in Obsidian. ➟Transformation➟ ‾‾‾‾‾‾‾‾ ➟ Multilingual support:  Daily translations between English and German simplify my communications. ➟ Refine communications:  My AI-powered tools assist in enhancing the clarity and impact of my written content. With my GPT that supports me with writing on LinkedIn. ➟ To connect concepts:  For instance to learn about the connection between the 4 learning types and the Second Brain approach. Dan Shipper's meta perspective resonates with me:  „Language models are cultural technologies. They give us the best of what humanity knows about any topic—in the right form for any given context" My next experiment with AI compression and translation: I'm currently reading the Fastlane Millionaire. A mind blowing book.  I’ll use AI to summarize base on my highlights it took on my Kindle. Results follow in one of my next posts. How do you use AI for compression, expansion, and translation? 👉Follow me for more on AI to grow a Second Brain

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The "studies" that show San Francisco in a bad light are like comparing gradeschoolers to college kids. Nampa, ID is the best? They have 110K people and a budget of $279M. It's basically a suburb of Boise. SF has 808K people - the 4th largest city in the US - with vastly more complex issues like public transit, homelessness (you can't freeze to death here, unlike Idaho). SF is also a county. It's overall budget is $14B. Comparing metrics between these two is disingenuous at best. We have to start calling this kind of reporting out. Facts matter. None of the cities in this lists top 20 are major metros. SF has government problems, but this kind of hyperbole is just slamming on SF. I wonder why? https://lnkd.in/e8qnGeg7

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What do you think about AI in senior care? Personally, I think we have to be careful with it. When AI presents itself as human, it can be confusing for seniors who may not have strong digital literacy skills. In fact, if they think they're talking to a person and not an AI chatbot, it can be dangerous if they're having a medical emergency or issue. However, there are some helpful use cases. I think Kristen Fischer's exploration of AI here is really interesting. "Artificial intelligence may be a useful communication tool to help older adults with cancer communicate with their doctors and have more of a say in their treatment," she says. AI can provide more context or explanation about certain treatment plans and translate the patient’s needs to clinicians in situations where the patient doesn't feel understood or heard. AI will never replace professionals, but it could help patients and clinicians better understand each other. Feel free to share your thoughts on this—I'd love to know if you think AI would be an effective tool for these situations. #AI #SeniorCare #FutureOfHealthcare

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I'm thrilled to share that my exceptional colleague, Ryan Peterson, will be representing Invisory at this year's AWS re:Invent! 🤔 Are you feeling overwhelmed by cloud marketplaces? Trust me, you're not alone. But here's the thing - it doesn't have to be complicated. At Invisory, our platform + customer success team specializes in transforming this complexity into a clear, strategic pathway for your business. 💡 Why connect with Ryan at re:Invent? ✅ Get expert guidance on your marketplace journey ✅ Learn how to optimize your AWS presence ✅ Understand how to maximize your marketplace ROI ✅ See how Customer Success can transform your marketplace experience 🌟 Whether you're just starting your cloud marketplace journey or looking to enhance your existing presence, Ryan's expertise can help illuminate the path forward. 🤝 Want an introduction? I'd be happy to connect you! Drop a comment below or send me a DM to set up a meeting with Ryan at re:Invent. Looking forward to helping make valuable connections! 🚀 #AWSreInvent #CloudMarketplace #CustomerSuccess #AWS #CloudTechnology #SaaS #TechInnovation #Invisory

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🎯 Last Call for AWS re:Invent Meetings! Still planning your re:Invent schedule? There's still time to book a valuable session with Ryan Peterson from Invisory! Whether you're just starting your cloud marketplace journey or looking to optimize your current strategy, Ryan's expertise can help unlock your AWS marketplace potential. #AWSreinvent #CloudMarketplace #AWS #TechInnovation #NetworkingOpportunity #CloudTechnology

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AI memory is fundamental for conversational AI and AI agents. It is critical for building personalized experiences and improving reasoning. Check out Letta’s course to understand how to use AI memory to enhance the customization and quality of your AI app.

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A lot of people have great ideas, but what if no one listens? Adrian Cockcroft has been there. In this conversation, Adrian reflects on the challenge of being an individual contributor in large organizations like Sun Microsystems and Amazon Web Services (AWS). Without the authority or resources, getting things done at scale is nearly impossible. But when you have a team, your influence multiplies, and that’s when real transformation happens. It’s not about just having the right answer—it’s about having the influence to execute it. Have you ever faced the challenge of scaling your ideas without a team? How did you overcome it? #unlearn #leadership #influence #execution #organization #team #individualcontributor

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WIESNER ON HUMANS VS AI: MIT Media Lab co-founder and science advisor to JFK, Jerome B. Wiesner was a unique figure in the history of MIT at the crossroads of science, engineering, and the arts with a lifelong pursuit of world peace. There's a terrific talk he gave at the founding of the MIT "E15" building designed by I.M. Pei — often nicknamed "the bathroom building" — that's worth a watch, especially during these extraordinary times https://lnkd.in/g2zEJRrk and a piece of the talk he gave is below. Information on the talk I'm giving with Jerome B. Wiesner Professor Hiroshi Ishii is here https://lnkd.in/gJpKkeY8 on November 8th (Fri) from 11 am EST, and you can register online for free here https://lnkd.in/gADUyCs7 --- Jerome B. Wiesner at the founding moment of the MIT Media Lab's E15 building https://lnkd.in/g2zEJRrk > ... Now some people will be offended by what I'm going to say, but I think man-made systems use better components. Electrical signals travel a million times faster than signals on nerve fibers. And semiconductor devices also act billions of times faster than neurons, which are the biological information processing elements. Also, manmade elements appear to be more reliable. But nature has a very large edge, maybe a decisive edge. In design complexity involving a number of individual elements, it can use it in a system effectively. And these are advantages man may never match. Nature may always retain this edge, who knows? > But for the moment, it really doesn't matter. The manmade systems that we are involved with enhance human creative capacities, that's what they can do, but so far they cannot displace them. Cognitive and computer scientists are having an exciting time trying to understand and imitate human reasoning with computing systems. And though they can do a few things that would be regarded as thinking if done by a human, they differ violently among themselves on whether or not machines with human thinking and creative abilities are possible. Even the so-called artificial intelligence field, which prompted Walter Rosenblith to say he preferred natural stupidity, his greatest achievement in this field is capturing knowledge and skills of humans -- of human experts. > For now, it’s clear that thinking machines and true creativity don’t exist. We should focus on how tech can expand human creative capacity.

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Here's a great article describing Weaviate's guidance on a process called "late chunking". RAG can get frustrating when embeddings are stored in a way that separates critical contextual relationships between sentences, paragraphs, or entire documents. Late Chunking helps to address that problem. With more language models providing larger context windows, the prompt augmentation strategy should also evolve. I like what they're doing... https://lnkd.in/gq-4vQBg

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15 years ago I told Ameesh Paleja, then an Amazon Sr. Manager on my team, that I could see he would surpass me. Now Ameesh is an EVP at Capital One and has clearly done so. Ameesh's successful recipe from my perspective: 1) Absolutely relentless hard work 2) Stellar ownership and delivery 3) Non-stop self-advocacy (pushing for bigger opportunities) 4) Willing to make deals to grow (I will over deliver but I want X in return) 5) Confident enough to repeatedly leave good jobs for bigger opportunities. He was never static or satisfied. On Thursday at 5 PM PST, Ameesh will be my guest for a live discussion of his career path from Computer Science undergrad through Amazon Director on to CEO of his own startup and then senior executive roles at both Google and Capital One. We'll cover each step in his career, how he saw his decisions and how I saw them as his manager for 8 years from mid-level SDE to high level Director. Ameesh has had something of a model career you can study and learn from. He switched majors from engineering to CS classic family pressure to become an engineer. Then he worked at Microsoft before coming to Amazon. After Amazon raised money, founded and built his own startup, and served as CEO at Atom Tickets. At the same time, he has had some struggles and sideways moves before ultimately becoming a VP at Google and then an EVP at Capital One. You can register for the LIVE discussion here: https://lu.ma/e1ed2eo7 To attend live and particpate in the discussion you must be a committed, paying member of our career development community: https://lnkd.in/gXh2pdK2 You can get access to the recorded version of the talk for free by registering at the same link. We'll release the recorded version with a day or two of the live event, as soon as we have it uploaded for distribution. For comments, I would love to hear what you would like me to ask Ameesh on Thursday!

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🌉 San Francisco's Surprising Comeback: From 'Doom Loop' to Renaissance? Recent data suggests that San Francisco, once trapped in a pandemic-induced 'doom loop', is showing strong signs of recovery. Here's what's changing: 📈 Positive Trends: - Population Growth: Net gains over the past two years, with domestic in-migration positive for the first time since 2012. - Housing Market: Median home sale prices up 1.2% YoY to $1,427,500 in June. - Job Growth: The Bay Area added 7,400 jobs between January and June. Downtown Revival: Foot traffic beyond typical work hours has recovered to over 90% of pre-pandemic levels. - Crime Reduction: Property crime down 32% and violent crime down 14% in Q1 2024 compared to Q1 2023. - AI Boom: The city is positioning itself as a hub for the AI revolution. 🚧 Ongoing Challenges: - High office vacancy rates - Homelessness and drug crisis - Lagging tourism and business travel 🔑 Key Initiatives: - "Vacant to Vibrant" program offering free rent to businesses in empty storefronts - Increased police patrols and encampment sweeping - Crackdown on open-air drug dealing 💡 Expert Insight: "The rising AI empire is giving the city a new edge. Funding, talents, and culture related to the AI revolution will help the city turn the corner." - Lu Chen, Senior Economist at Moody's Analytics 🤔 What's Your Take? Are these positive trends sustainable, or is it too early to declare a comeback? How can other cities learn from San Francisco's recovery strategies? What role will AI play in reshaping urban economies, particularly in tech hubs? https://lnkd.in/gCnPCBRU

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Lots of industry focus is on AI for code generation, an area that is exciting and magical and offers a lot of promise (and some drawbacks — Copilot may actually be making developers *worse*...). But equally important, and something that we need to do all the time, is deal with legacy. There's a programmer joke that something is 'legacy' as soon as it's gone to production, and that's kind of true. But the most difficult legacy codebases tend to be older, sprawling, and with few (or zero) people left in an organization who understand what the code does. Thoughtworks' approach to legacy modernization avoids silver bullet thinking of using AI to 'just' translate the code (we might get there eventually) and instead focuses on code #understanding. Using a combination of traditional static analysis, a graph database, and #GenAI, we've been able to create a tool where you can ask questions of a codebase and get accurate, nuanced answers as to what the code does. We call it CodeConcise. If you're missing an SME on that old codebase, or if they're too busy to answer every question, this can fill in the gaps. At one of our clients we brought new programmers onto the team and asked them to fix bugs in a legacy system, using CodeConcise to guide them to the right spots in the million line codebase. We'd actually fixed the bugs already — we wanted to know how much faster new team members could do the job, using CodeConcise. The result? Bugs that previously had taken multiple weeks to track down and fix were consistently resolved in 2-4 hours, simply by giving developers better insight into what the code was doing, where, and how they might fix it. My colleagues Alessio Eros F., Tom Coggrave and Shodhan Sheth write about the approach here, on Martin Fowler's website. https://lnkd.in/ebUD3Y9Y

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CA/WA/OR state & federal legislators (and voters!) need to be aware of food security and rural economic vitality challenges. Case in point - the 'acreage exodus' in CA is real - From 1997 to 2022, USDA Census data show that California lost 4.6 M ag acres (16% of the total) and 24,857 farms (28% of the total). Straight line these numbers for another 30 years and the numbers go to 9 M acres lost and 45,300 farms lost for 55 years – 32% of acreage and 52% of farms. Other western states - WA & OR - also need to pay close attention to policies that are negatively impacting farming. Labor laws, overtime, L&I, real estate values. It's amazing how much we're seeing ag production moving to LatAm and other areas that are much less expensive to farm. Walt Duflock

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Today is the start of summer break across the country. Finding, discovering, researching and registering for summer camp is a time-consuming and massively frustrating task for parents. As a parent, I asked myself these questions (and about 20 more): 1) What is even available to me within a 15-20 minute drive?  2) What camps are available for both my kids given that they have a four year age difference? (I would prefer one drop off and pickup) 3) Why is it so hard to see the dates, times, and basic details of camps? 4) When does registration open? 5) Why can’t I see if a camp is sold out? 6) Why can't I register multiple kids at the same time?  7) Why am I printing out forms and sending them in the mail with a check?  8) How do I join a waitlist?  9) How do I take my kid off a waitlist?  10) Where can I review what I purchased? We set out to make this easier with Enrichment.kids by building a marketplace paired with a user-friendly registration SaaS tool which we launched in January. Check it out! https://enrichment.kids/

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