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.
Leapfrogging
MARCH 3, 2025
Artificial intelligence (AI) is transforming industries, and business consulting is no exception. By integrating AI, you can leverage machine learning, natural language processing, and data analytics to provide more precise, insightful, and strategic advice. Ready to dive deeper?
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Leapfrogging
FEBRUARY 13, 2025
In today’s rapidly evolving tech landscape, the demand for Artificial Intelligence (AI) consultants is on the rise. To learn more about the role of an AI consultant, visit our article on what is an artificial intelligence (ai) consultant? Join the Consultant's Master Class!
Leapfrogging
FEBRUARY 13, 2025
As businesses strive to innovate and leverage data-driven decisions, the role of artificial intelligence (AI) consultants has gained paramount importance. For more insights on the role and responsibilities, refer to our article on what is an artificial intelligence (ai) consultant?
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
Idea to Value
AUGUST 10, 2021
One area where Goodhart’s Law gets even more dangerous is in target-based software development, especially Artificial Intelligence and Machine Learning. If humans set a specific target for an Artificial Intelligence system, it will try everything it can to optimise its performance to meet that target.
Idea to Value
MARCH 26, 2021
With future versions of generative design software surely being built on machine learning and other Artificial Neural Networks , it might even become possible for Artificial Intelligence software to solve design challenges in ways which a human would never have approached the problem.
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.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation metrics for at-scale production guardrails.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
They're often developing using prompting, Retrieval Augmented Generation (RAG), and fine-tuning (up to and including Reinforcement Learning with Human Feedback (RLHF)), typically in that order.
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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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. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
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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: Paul Weald, Contact Center Innovator
Learn how to streamline productivity and efficiency across your organization with machine learning and artificial intelligence! How you can leverage innovations in technology and machine learning to improve your customer experience and bottom line.
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In the rapidly-evolving world of embedded analytics and business intelligence, one important question has emerged at the forefront: How can you leverage artificial intelligence (AI) to enhance your application’s analytics capabilities?
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