you are ready to blow up the distribution of your current product-market fit and have initial validation of your distribution methods.
BUSINESS
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Essential Growth Leader Qualities: Velocity, Mindset, Execution
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(1) high iteration/learning velocity; (2) a growth mindset; (3) strong execution skills, and a generalist who can execute across different growth problems; and, ideally, (4) someone internal who already has the business context.
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Product Strategy: Aligning Growth Goals with Go-to-Market Model
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with acquisition, monetization, and retention distribution goals in mind from the very beginning. If you are planning to be marketing/sales-led, then the product experience will look very different from inception, as you will have humans responsible for growth levers.
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Founder-Led Growth: Validating Product-Market Fit Early
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Feeling PMF: Founder-led growth During early signs of traction, it is important to validate that the growth model hypothesis was correct. Founder-led growth is the best path here, where the founder drives growth efforts across product-led, marketing-led, or sales-led motions.
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Growth Strategy Before Product-Market Fit: Avoid Early Hiring
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2/ How does growth look at different company stages? Before PMF: Develop a growth model hypothesis Many founders get caught up in growth hype and try to hire growth talent early. Don’t fall victim to this trap—you will waste precious capital and equity for lackluster results.
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PMF validation must precede growth scaling
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Growth is about increasing the distribution of the core product. If there is no validation that the product has found PMF, growth has nothing to grow. PMF has to happen first, then growth.
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NVIDIA AI-Ready Servers Enable Generative AI Deployment
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We announced that the world’s leading system manufacturers will deliver NVIDIA AI-ready servers to help companies customize and deploy #GenerativeAI applications using their proprietary business data. https://
nvda.ws/45kUtcU #VMwareExplore @VMware @NVIDIAAI -
LoRA as Cost-Effective Solution for Multi-Customer LLM Deployment
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I believe this would be easiest and most cost-effective because they won't have to store a new 175B parameter LLM for each customer then. With LoRA, you can use the same base LLM but only need to store the LoRA weights.
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Data Layer Revolution: Snowflake and Databricks Transform Enterprise Infrastructure
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If there is an "iPhone moment" happening right now, it's in the data layer. Snowflake and Databricks basically came in and re-wrote the entire process of storing and accessing data for, well, everything, and spawned a whole universe of $1B+ companies around the two.
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Can Artificial Intelligence Replace Human Auditors in Finance?
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Can An Auditor Be Replaced By AI?
#AI #AIio #BigData #ML #NLU #Futureofwork @TunstallAsc @StrategyFintech @TamaraMcCleary @TerenceLeungSF @psb_dc @thomaspower @vinod1975 @ylecun http://
ow.ly/TRuU30swOv5