ChatGPT Data Engineering Product Management 
O'Reilly Media - Ideas
JANUARY 14, 2025
That trend started with ChatGPT and its descendants, most recently GPT 4o1. But unlike 2022, when ChatGPT was the only show anyone cared about, we now have many contenders. Or will it drop back, much as ChatGPT and GPT did? Data engineers build the infrastructure to collect, store, and analyze data.
CIO
SEPTEMBER 29, 2023
ChatGPT As evidence of its meteoric rise, ChatGPT was the most searched generative AI skill on Upwork in early 2023, just months after its launch at the end of November 2022. With generative AI, this skill is important for creating quality consumer-facing products and services.
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CIO
AUGUST 14, 2024
My team is a mix of different skillsets from data engineers, analysts, project managers, developers, and third parties,” she says. “So I can see there’s a lot of people who want to use generative AI, ChatGPT, and AI in different ways, and it’s important to have that a bit decentralized.
O'Reilly Media - Ideas
JANUARY 25, 2024
ChatGPT changed the industry, if not the world. And there was no generative AI, no ChatGPT, back in 2017 when the decline began. That explosion is tied to the appearance of ChatGPT in November 2022. But don’t make the mistake of thinking that ChatGPT came out of nowhere. 2023 was one of those rare disruptive years.
CIO
JULY 18, 2023
AI and data science dominate the agenda As companies proceed with digital transformation efforts , their focus is firmly on enabling business outcomes with data, increasing demand for data science, analytics, AI, and even RPA skills.
O'Reilly Media - Ideas
MARCH 1, 2023
In 2021, we saw that GPT-3 could write stories and even help people write software ; in 2022, ChatGPT showed that you can have conversations with an AI. Data Data is another very broad category, encompassing everything from traditional business analytics to artificial intelligence. A lot has happened in the past year.
Mobilunity
NOVEMBER 11, 2024
We already have our personalized virtual assistants generating human-like texts, understanding the context, extracting necessary data, and interacting as naturally as humans. It’s all possible thanks to LLM engineers – people, responsible for building the next generation of smart systems. LLM product manager.
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