Engineer Israel Technology Vertical 
VC Cafe
FEBRUARY 15, 2017
Artificial Intelligence is an important, foundational technology that gets more important every year and will be used to solve more and more problems going forward. These events mean that technology is advancing fast enough to make better decisions than humans in order to accomplish a given task. (Chris Rust, Clear Ventures).
VC Cafe
MAY 14, 2024
While still in its early days, this transformative technology is seeing rapid adoption by consumers and businesses alike. Israel is positioning itself as one of the potential leading hubs for generative AI globally. Despite the buzz, Enterprises have been slow to adopt Generative AI technology.
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David Teten
NOVEMBER 30, 2020
Back in July, I wrote an essay in Geektime on “ The Anti-Israel BDS Movement Will Fail “ Little did I know how quickly that would prove true! Many Israeli companies build technologies which could be very valuable to the broader Middle East region, particularly in water tech, agriculture technology, and cybersecurity.
Feld Thoughts
DECEMBER 16, 2015
There are two common ways to scale a system – horizontally or vertically. If you are a software engineer, you probably get this instinctively. Scale Vertically (or “scale up”): Add resources to a single node in a system, typically involving the addition of CPUs or memory to a single computer.
Steve Blank
NOVEMBER 21, 2015
The last 40 years have seen an explosive adoption of new technologies (social media, telecom, life sciences, etc.) Not only are the number of new technologies and entrants growing, but also increasing is the rate at which technology is disrupting existing companies. Figure 1 : Five technology revolutions source: Carlota Perez.
VC Cafe
JANUARY 29, 2024
2023 was a rough year for Venture Capitalists and startups alike Plummeting deal volume (US down 40%, UK %50, Israel 60%) back to 2017 volumes. The rise of generative AI is expected to affect every vertical: health, education, fintech, gaming – creating opportunities for startups.
VC Cafe
JULY 7, 2023
Most of the companies that raised these mega rounds are relatively early stage in terms of product and monetisation (if at all) and about half of the companies that raised large sums, are developing LLMs, which generally requires deep pockets to cover 1) cloud costs, 2) expensive deep learning engineers 3) get the data to train the models.
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