The hottest AI Strategy Substack posts right now

And their main takeaways
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Top Technology Topics

8 Best Practices for AI Strategy Development By An AI—Strategist

High ROI Data Science • 158 implied HN points • 13 Oct 24
🕹 Technology AI Strategy Data science Innovation Digital Transformation Business Intelligence
  1. AI is changing how we think about technology, moving beyond just improving what we have to creating entirely new ways to interact with it. This means businesses need to look for big, new opportunities, not just small tweaks.
  2. Having a strong data strategy is key for successful AI projects. This involves treating data as an important asset, gathering context, and making sure it's easy to access for training AI models.
  3. It's important to develop real, functional AI products that deliver clear value. Companies should focus on creating products that solve specific customer problems rather than just showing off cool technology.

E6 - 🏰 Building a Moat for Your AI Startup 🏰

The Product Channel By Sid Saladi • 10 implied HN points • 15 Dec 24
💼 Business Startups Entrepreneurship AI Strategy Product Management Competitive Analysis
  1. Building a competitive 'moat' is crucial for AI startups to protect themselves from competitors. It means having unique advantages that others can't easily copy.
  2. Startups should focus on specific industries or problems to create tailored solutions. This helps them collect valuable data and improve their models over time.
  3. Using proprietary data and building complex systems can strengthen a startup's position. It’s about going beyond just using popular AI tools and making something unique.

AI isn't a feature of your product

Sunday Letters • 139 implied HN points • 25 Feb 23
💼 Business Tech Integration Product Development AI Strategy Innovation Market Trends
  1. AI should be seen as a platform, not just a feature of your product. Treating AI as a foundation can lead to more innovative and valuable solutions.
  2. The real potential of AI comes from creating products that can't function without it. This approach can lead to significant advancements and new possibilities.
  3. Ask 'what if' questions to explore the full potential of AI. This mindset can help you think creatively about building solutions for the future.

Gradient Flow #30: Pricing Data Products, National AI Strategy, Elastic Computing

Gradient Flow • 19 implied HN points • 11 Mar 21
🕹 Technology Funding Updates AI Strategy
  1. Challenges in pricing data products and assessing the value of data are significant for data science and machine learning teams.
  2. The U.S. National Security Commission on Artificial Intelligence report covers essential topics like data infrastructure, adversarial ML, and more, offering valuable insights.
  3. Elastic deep learning with Horovod on Ray and contextual calibration for tools like GPT-3 are advancing efficiency and effectiveness in machine learning.
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Issue #1: Why Enterprises Are Lukewarm on AI Model Providers

OSS.fund Newsletter • 0 implied HN points • 20 Mar 25
💼 Business AI Strategy Enterprise Solutions Market Dynamics Technology Integration
  1. Enterprise buyers like AI solutions that fit into their current systems. They prefer options that include security and compliance, rather than just standalone AI models.
  2. Major companies like Microsoft, AWS, and Google are leading the AI market by bundling AI with their existing services. They are seen as more reliable partners compared to AI model providers.
  3. AI model providers need to focus on industry-specific solutions that help businesses improve revenue and efficiency. Simply having the best technology isn't enough for success in the enterprise market.

Inflation data disappoints, notes on Crunchbase's AI strategy, and the latest OpenAI math

Alex's Personal Blog • 0 implied HN points • 10 Oct 24
💰 Finance Inflation AI Strategy Market Trends Business valuation Data Analysis
  1. September's inflation data showed a 0.2% rise, with the yearly change at 2.4%. This suggests some ongoing economic pressure.
  2. Crunchbase is focusing on AI by enhancing its data tools. They introduced AI-powered search features to improve access to their extensive data.
  3. OpenAI is projected to have significant cash losses but could still become profitable by 2029 with a strong revenue base. The risks of high spending in this sector are considerable.

Issue #10: Pay Bonus? To Drive AI Copilot Adoption? Sure!

OSS.fund Newsletter • 0 implied HN points • 22 May 25
💼 Business AI Strategy Incentives Productivity Training Change Management
  1. Offering bonuses can increase the use of AI tools like Copilot in businesses. When people are paid to use these tools, it often leads to better results.
  2. Different roles in a company may require different incentive strategies to promote AI usage. For example, software engineers might benefit from bonuses, while some roles might not need them yet.
  3. Creating a fun and engaging training environment helps employees learn to use AI tools effectively. Simple activities can keep teams motivated and increase their usage.

20240203

Curious futures (KGhosh) • 0 implied HN points • 03 Feb 24
🕹 Technology AI Tech Random AI Strategy DIY
  1. Researchers in AI field have varying opinions on the pace of AI development and its impact on humanity.
  2. Tech topics include lobbying for AI regulation and discussions on language and mind connection.
  3. Diverse topics like sand mafias, AI strategy focusing on minimizing risks, and DIY projects like SDR with RP2040 are covered in the post.