Idea to Value
DECEMBER 6, 2022
You may have seen news of people talking about the new artificial intelligence chatbot from OpenAI, called ChatGPT. Put simply, this is a way you can ask questions to OpenAI’s huge artificial intelligence in a natural, chat-like manner. Nick Skillicorn: and another?
Digital Tonto
JANUARY 15, 2023
That’s why the rise of artificial intelligence is driving a shift from cognitive to social skills. That requires more deep collaboration, teamwork and emotional intelligence. To derive meaning in an artificially intelligent world we need to look to each other and how we can better understand our intentions.
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Digital Tonto
SEPTEMBER 15, 2024
The problems will only get more pervasive as we constantly feed information into artificial intelligence platforms like ChatGPT. The post We Need To Rethink How Competition And Collusion In An Artificially Intelligent World first appeared on Digital Tonto. We should demand they be met.
Digital Tonto
AUGUST 11, 2024
Yet the unspoken problem is that none of those technologies, except for the Internet, had a significant impact on productivity. That’s largely become true, we are on the precipice of leveraging a number of new technologies including, along with artificial intelligence, things like quantum computing and synthetic biology.
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.
Harvard Business Review
JANUARY 23, 2024
Machine learning might be the world’s most important general-purpose technology, but it’s notoriously difficult to launch. Outside of Big Tech and a handful of other leading companies, machine learning initiatives routinely fail to deploy, never realizing value. What’s missing?
Harvard Business Review
MAY 24, 2024
Large language models (LLMs) provide a search experience that’s dramatically different from the web-browser experience. The biggest difference is this: LLMs promise to answer queries not with links, as web browsers do, but with answers.
Speaker: Tony Karrer, Ryan Barker, Grant Wiles, Zach Asman, & Mark Pace
Join our exclusive webinar with top industry visionaries, where we'll explore the latest innovations in Artificial Intelligence and the incredible potential of LLMs. We'll walk through two compelling case studies that showcase how AI is reimagining industries and revolutionizing the way we interact with technology.
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.
Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage
Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence.
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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.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
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Speaker: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! Embrace automation, collaborate with new technology, and watch how you thrive!
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While data platforms, artificial intelligence (AI), machine learning (ML), and programming platforms have evolved to leverage big data and streaming data, the front-end user experience has not kept up. Holding onto old BI technology while everything else moves forward is holding back organizations.
Advertiser: ZoomInfo
On top of ever-increasing advancements on the technology front (hello, artificial intelligence), try adding record-low unemployment and candidates’ virtual omnipresence and you’ve got yourself a pretty passive, well-informed, and crowded recruiting landscape.
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