The hottest Funding Updates Substack posts right now

And their main takeaways
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Top Technology Topics

Steve Jobs: 'The Half-Truth of First-Mover Advantage' | VC Remote Jobs & More

Venture Curator • 319 implied HN points • 16 Jan 24
💼 Business Market Analysis Job Opportunities Funding Updates Venture Capital
  1. Being the first to market doesn't always guarantee success - focus on product and marketing execution instead of just being the first.
  2. Many pioneers in industries did not become successful despite being first movers, showcasing the importance of execution over timing.
  3. Entering a market after pioneers can provide the advantage of learning from their mistakes and building a better product with secure marketing funds.

Gradient Flow #36: Model Monitoring, Hydrofoils, Data Portability

Gradient Flow • 19 implied HN points • 03 Jun 21
🕹 Technology Data Exchange Funding Updates Knowledge Graphs
  1. Model monitoring is crucial for robust machine learning applications to ensure they perform as expected over time
  2. Delta Live Tables simplifies the ETL lifecycle by allowing data engineers to build pipelines using SQL queries
  3. Greykite, an open source library for time series forecasting, offers speed and flexibility but requires investment to learn for production use

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.

Gradient Flow #32: Data Cascades, Demand for Data Engineers, Exploiting ML models

Gradient Flow • 0 implied HN points • 08 Apr 21
🕹 Technology Data Engineering ML models Data Quality Funding Updates
  1. Data quality is essential for great AI products and services, emphasizes the need for tools like Great Expectations for validation and testing.
  2. There is a rising demand for data engineers, illustrated by the funding announcements of Streamlit, Flatfile, and Snorkel.
  3. Exploiting machine learning pickle files is a concern, with an open source tool discussed to reverse engineer and test these files.
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Gradient Flow #24: Robots Are Listening, Funding Updates, Security for the Disoriented

Gradient Flow • 0 implied HN points • 17 Dec 20
🕹 Technology Security AI Machine Learning Funding Updates Work
  1. The Data Exchange podcast features discussions on security and privacy in AI, Responsible AI practices, and comparison of time-series databases.
  2. Machine Learning tools and infrastructure topics cover building gigascale ML feature stores, production monitoring architectures, and use of time-series databases.
  3. Funding updates include new startups introducing visual data computing, advancements in metadata management tools, and investments in AI companies like DataRobot.

Gradient Flow #33: DataOps, Natural Language Benchmarks, Multimodal ML

Gradient Flow • 0 implied HN points • 22 Apr 21
🕹 Technology DataOps Natural Language Benchmarks Machine Learning Funding Updates
  1. DataOps involves tools, processes, and startups that help organizations efficiently deliver AI and data products.
  2. NLU benchmarks need improvement for better model performance by focusing on better benchmark datasets.
  3. Multimodal Machine Learning and Machine Learning with Graphs are valuable resources for expanding knowledge in AI.