Peter Guagenti

@superxtranormal @tabnine We do use your local codebase as context. Makes me wonder what your other comments look like. 😉

😂🧑🏻‍💻

Just wrapped up this super enlightening episode of the MLOps Community podcast featuring Peter Guagenti, a total tech guru who's really shaping the AI scene in software development.

A8: My biggest concerns with AI remain privacy, respect for copyright, and monopoly concentration of power. Big tech has already proven they will exploit whatever they can get away with to maximize profits. I worry about the negative impact on small co's and creators. #eweekchat

A7 (cont'd): As for AI to avoid, IMO ChatGPT is overused for use cases it's not great at. Go find the built-for-purpose tool that solves your problem best! #eweekchat

A7: Shameless plug for our own AI coding assistant, @tabnine. As someone who is very rusty but does still touch code occasionally, it's a life saver. Not GenAI, but I'm a big fan of @madkudu for sales & marketing. @Adobe is also doing great things. #eweekchat

A6: I would expect te chips to head towards commoditization and for the costs to drop dramatically. This will unlock more innovation and the integration of AI into more applications and work processes. I would expect affordable AI at the edge to emerge relatively soon #eweekchat

A5: My advice to tech pros trying AI tools is to come with an open mind, try it all, and be prepared to adapt how you work. Resistance to change is holding many people back, and like every other wave of innovation risks leaving behind the people who won't learn. #eweekchat

A4: I have used AI in my work for years; models to identify ICP, to optimize messaging, & prioritize sales & mktg activities. With GenAI, we added list building, email outreach generation, meeting summarization, and image generation. All have huge impact on outcomes. #eweekchat

A3: Cloud computing costs for running AI are incredibly high and hurt ROI. As models & apps evolve and as chipmakers help improve devices, there will be more oppty to operate AI privately on local devices. @Tabnine already uses a mix of cloud & on-device successfully. #eweekchat

A1: If co's want to use AI more productively, motivate your people to embrace the change. Give them the training to make the best use of it, adjust your processes to accommodate it, require adoption until everyone has adapted to it, and then adjust based on learning #eweekchat

A1: The biggest issue companies face is their own method of adoption. AI represents a fundamental change in how we work, and needs to be treated like the change management exercise it is. It's not just a tool; changes to people & process must be considered #eweekchat

@JamesMaguire Glad to be part of this, @JamesMaguire !

More experts….#eWEEKchat Bernard Golden, Executive Technical Advisor, VMware Jignesh Patel, Computer Science Professor, Carnegie Mellon University, Co-Founder, DataChat Manisha Khanna, AI Strategist, SAS Peter Guagenti, President and CMO, Tabnine

New post on TechCrunch: Code-generating AI platform Tabnine nabs $25M investment ift.tt/g6zEo8F

@ashtom @tabnine was over 1MM developers long before you, and 3.7% market penetration is not exactly "across the chasm". But why let facts get in the way of self-promotion? 🤣

GitHub Copilot has crossed the chasm. We are thrilled to share that Copilot now has over 1 million paid subscribers in over 37,000 organizations, making it the most widely adopted AI developer tool in history. And we're not even close to done 👀 zdnet.com/article/micros…

Today is a BIG day - we're proud to unveil the InfraRed 100, a comprehensive list of the next 100 most promising private companies in Cloud Infrastructure. The list includes a variety of early, mid, and late-stage companies. See the full list here!

A quick #RoachFest22 recap if you didn’t watch that stream: 🏅#CockroachDB serverless reached GA 🔁We announced Molt, our new migration toolset 💻@Vercel + @Hashicorp #Vault + #Terraform integrations cockroachlabs.com/blog/announcin…

For our brand new 2022 Cloud report we performed over 3,000 benchmark runs, testing 56 different instance types and 107 discrete configurations. Here are a few of the many juicy insights from all that testing: 🧵 cockroachlabs.com/guides/2022-cl…

It's similar, but better.

The NewYorker gets us.