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53 Questions Developers Should Ask Innovators

TechEmpower

Do you have legal (Founder Agreement, IP, etc.) Do you have a custom algorithm or other technology? Team and Process Are you using, or planning to use any software development methodologies? How big is the anticipated development team? Tell me about the business. How are you funding this? Where’s the mystery?

Developer 520
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Lessons Learned in Diagnostics

Steve Blank

Jason Crane - PhD UCSF Manager Scientific Software Development. In fact, the “must have features” were their future predictive algorithms. It includes reimbursement, regulation, IP, validation, channel access, etc. Filed under: Customer Development , Lean LaunchPad , Life Sciences , Teaching.

Lean 244
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How Can FinTech Industry Successfully Navigate the Complex Web of Cybersecurity

The Startup Magazine

Rate limiters govern the frequency or quantity of user or IP requests, which helps to prevent distributed denial of service attacks. On the other hand, encryption creates algorithms that convert data into code that can only be seen by the intended receiver. They are highly detrimental to FinTechs because many APIs lack rate limiters.

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30 Machine Intelligence Startups to Watch in Israel

VC Cafe

This is done by enriching transaction data points such as name, email address, and billing and shipping address with around 2,000 extra data points, such as an IP latency check to measure the real distance from the user, IP connection type, distance between key strokes, and email name match.

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Startups in stealth mode need one piece of advice - Discussion

news.ycombinator.com

Out of all my ideas I think this is the one I think would be the most fun to work on, from development to marketing. One thing Id add: IP- and idea-defense isnt always the strategy behind the stealth tactic. > community for software developers to share revenue is kindof tempting to do, though -- samlittlewood 215 days ago | link.

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Artificial Intelligence and Machine Learning– Explained

Steve Blank

Humans combine data with algorithms (see here for a list) to train a model using that data. Machine learning algorithms – computer programs that adjust themselves to perform better as they are exposed to more data. Classic Computers – Software Updates, New Features. The sum of these feels like buzzword bingo.

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CEO Friday: Why we don’t hire.NET programmers

blog.expensify.com

This literally the dumbest, most ignorant piece that I’ve ever read about software development and/or hiring programmers. I also know numerous other programming languages and have worked with many software development platforms over the last 25 years. Look what happened to Gawker. March 25, 2011 at 3:23 pm.

Java 107