Jeffrey Phillips

MAY 23, 2023

First is artificial intelligence, ML and ChatGPT and all of the new technology that will make people obsolete. Just as the loom did not replace all workers - in fact created more jobs - AI will not replace all workers but create new roles and new jobs, as well as new products, services and business models.

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Planview

FEBRUARY 16, 2024

Artificial Intelligence (AI) often seems like an overnight success story, but its roots stretch back more than 80 years. The journey from the inception of neural networks to the sophistication of ChatGPT is a fascinating one, marked by significant milestones, technological advancements, and cultural shifts.

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Innovation Excellence

FEBRUARY 2, 2023

Drum roll please… At the beginning of each month, we will profile the ten articles from the previous month that generated the most traffic to Human-Centered Change & Innovation. We also publish a weekly Top 5 as part of our FREE email newsletter. Did your favorite make the cut? But enough delay, here are January’s […]

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Change Innovation Artificial Inteligence ChatGPT 75

Acuvate

SEPTEMBER 2, 2023

Generative AI is a subset of artificial intelligence (AI), capable of generating text, images, or other media in response to prompts. Most of us have experienced Generative AI in its recent, intelligent form on chatbots and search tools like ChatGPT, Bard, and Bing. But first, let’s get the basics out of the way.

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

Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.

Artificial Inteligence

Harvard Business Review

JANUARY 15, 2024

In an annual survey assessing attitudes about data, analytics, and AI, data and technology leaders in large companies reported significant improvement in their organizations’ data culture. To take advantage of this, companies need to invest in experimentation, production deployment, and education.

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Linda Bernardi

MAY 16, 2023

Clearly, this can be a bit alarming, if one assumes there will be an immediate replacement of human-music-talent with computers, algorithms, and machine learning.

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