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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

I'm sharing this piece in public more than a month later, as it provides important context and analysis for the AI dev tools space. There’s been a number of news stories about “AI developers,” recently. This article was published on 14 March 2024 in The Pragmatic Engineer, for subscribers.

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Is the “AI developer”a threat to jobs – or a marketing stunt?

The Pragmatic Engineer

There’s been a number of news stories about “AI developers,” recently. ” It seems they’re aiming for something which performs better than human software engineers, today: Image source: Daniel Gross on X It’s a very bold claim whose success would mean a direct replacement of developers!

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AI + No-Code: The Viral Combo Redefining Developer Innovation

KDnuggets

Time is the one thing developers can never get back. The author, discusses the value of low code/no code platforms backed by AI in promoting faster development times and increased business agility.

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Snowflake and Partners Develop Award-Winning Solution to Give Telecoms and Consumers the Power to Reduce Carbon Emissions with Generative AI

Snowflake

Now, with generative AI technology, the industry can begin addressing its carbon footprint more effectively. Leveraging Amdocs’ Catalog, real-time data, AI and generative AI, CSPs can now build more sustainable offerings and provide consumers with ongoing data and analytics based on carbon emissions (CO 2 ).

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success?

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IT Staff Augmentation: How AI Is Changing the Software Development Industry

KDnuggets

It discusses how AI assistants are helping teams become more efficient and how they can also be a benefit to developers.

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The First Half of 2023: Data Science and AI Developments

KDnuggets

Here’s a recap of what the major data science and AI advancements have been in the first half of 2023. 6 months of 2023 has gone by like that.

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Embedded Analytics Insights for 2024

Organizations look to embedded analytics to provide greater self-service for users, introduce AI capabilities, offer better insight into data, and provide customizable dashboards that present data in a visually pleasing, easy-to-access format.

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LLMs in Production: Tooling, Process, and Team Structure

Speaker: Dr. Greg Loughnane and Chris Alexiuk

Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.

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New Study: 2018 State of Embedded Analytics Report

Why do some embedded analytics projects succeed while others fail? We surveyed 500+ application teams embedding analytics to find out which analytics features actually move the needle. Read the 6th annual State of Embedded Analytics Report to discover new best practices. Brought to you by Logi Analytics.

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LLMOps for Your Data: Best Practices to Ensure Safety, Quality, and Cost

Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase

Putting the right LLMOps process in place today will pay dividends tomorrow, enabling you to leverage the part of AI that constitutes your IP – your data – to build a defensible AI strategy for the future.

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The Data Metaverse: Unpacking the Roles, Use Cases, and Tech Trends in Data and AI

Speaker: Aindra Misra, Sr. Staff Product Manager of Data & AI at BILL (Previously PM Lead at Twitter/X)

We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond. We’ll explore how these applications are transforming with the introduction of Gen AI, and discuss the anticipated use cases for 2024 and beyond.