Unlock the power of AI
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Enabling the next economy by empowering our developers and engineers
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Unlock the power of AI
- 1. Unlock the Power of AI: Enabling the next economy by empowering our developers and engineers Mark Hammond Founder / CEO
- 2. Unlock the Power of AI: Enabling the next economy by empowering our developers and engineers 1 Intelligence is going to become a core part of every software and hardware application
- 3. Unlock the Power of AI: Enabling the next economy by empowering our developers and engineers 2 Data Scientists Developers Experts ~18,000 ~21,000,000
- 4. Unlock the Power of AI: Enabling the next economy by empowering our developers and engineers 3 Learning Teaching
- 5. Unlock the Power of AI: Enabling the next economy by empowering our developers and engineers 4
- 6. Unlock the Power of AI: Enabling the next economy by empowering our developers and engineers 5 ↑ Scope - Time ↓ Achieve more in less time Understandable Debug and iterate more effectively Reuse and sharing Work more effectively together and build a community Future-proof Benefit transparently from improvements at lower levels
Notas do Editor
- It has become apparent with the continued march of artificial intelligence technology that Intelligence is going to become a core part of every software and hardware application What this means in practice is that it is now viable to automate non-routine work that has previously resisted automation, enabling us to scale our expertise
- There's a disconnect though - on the one hand, we have data science and machine learning experts who excel at making sense of vast troves of data and uncovering the intelligence contained therein, and on the other hand we have subject matter and domain experts who already have intelligence we want to bring to bear In-between, we have developers and engineers who codify and build the systems that power our businesses There are three orders of magnitude more developers than data scientists The key for the next economy is to unlock AI for these developers and engineers who are already in our organizations so that they are empowered to scale our expertise and automate our work
- So how do we do that? By recognizing a simple fact - today's machine learning technologies are all about learning, which is a fancy way of saying they're about making better students. What we need instead is to look at the other side of that coin - to look at teaching and crafting the technologies and tools that allow us to codify how to teach learning systems the intelligence we actually want to apply At Bonsai, we've built a platform that enables exactly this. We shift the level of abstraction up so your teams can focus on building, teaching, and using intelligence models without getting mired in the low-level mechanics of learning.
- It allows you to turn systems that look like this (show deep learning visualization) into systems that look like this (show breakout code screenshot) - focusing on the concepts you want to teach and how to teach them, and leaving the low level details to the platform, much as databases let us focus on using our data, freeing us from managing it
- And that gives you a host of benefits: increase the scope of what we were doing and achieve it in less time understand what was going on so that we could debug and iterate more effectively reuse and share our work more effectively take advantage of improvements in the levels below without having to rebuild all of our work
- This enables us to harness the power of AI in our businesses, bringing our unique and collective intelligence to bear as we build the next economy