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6 trends framing the state of AI and ML

O'Reilly on Data

Deep learning cooled slightly in 2019, slipping 10% relative to 2018, but deep learning still accounted for 22% of all AI/ML usage. PyTorch looks like a contender: it posted triple-digit growth in usage share rates in both 2018 and 2019. For example, the chatbots topic continues to decline, first by 17% in 2018 and by 34% in 2019.

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Machine Learning Product Management: Lessons Learned

Domino Data Lab

I was fortunate to see an early iteration of Pete Skomoroch ’s ML product management presentation in November 2018. Pete Skomoroch, San Francisco, November 2018. Pete indicates, in both his November 2018 and Strata London talks, that ML requires a more experimental approach than traditional software engineering.

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Generative AI’s change management challenge

CIO Business Intelligence

A lot has happened since that last survey on attitudes to AI in 2018. It’s important folks get a chance to interact with these technologies and use them; stopping experimentation is not the answer,” Mills said, noting that it’s also not practical. “AI

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages. Our experimentation platform supports this kind of grouped-experiments analysis, which allows us to see rough summaries of our designed experiments without much work.

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ChatGPT, the rise of generative AI

CIO Business Intelligence

ChatGPT was trained with 175 billion parameters; for comparison, GPT-2 was 1.5B (2019), Google’s LaMBDA was 137B (2021), and Google’s BERT was 0.3B (2018). It’s hard to achieve a deep, experiential understanding of new technology without experimentation.

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HPE Looks to Edge-to-Cloud Strategy for Growth in 2018/2019

Hurwitz & Associates

Edge-to-cloud is the central focus of Hewlett Packard Enterprise (HPE) marketing and go-to-market efforts in 2018/2019. HPE Priorities for 2018. He sees opportunities for digital transformation in data centers; deployment of hybrid cloud and multi-cloud computing. HPE Launches Products for Edge-to-Cloud Solutions.

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AI in Analytics: The NLQ Use Case

Sisense

When the app is first opened, the user may be searching for a specific song that was heard while passing by the neighborhood cafe, or the user may want to be surprised with, let’s say, a song from the new experimental album by a Yemen Reggae folk artist. when the user actually meant to compare between Q1 2018 to the whole of 2017?