Artificial Inteligence Data Engineering 
The Product Coalition
APRIL 3, 2023
AI is having its Cambrian explosion moment (although perhaps not its first), led by the recent developments in large language models and their popularization. And best yet, I don’t need to come prepared with a vast data library. It could also be using another model to change the output of the LLM.
Intercom, Inc.
SEPTEMBER 9, 2022
GPT-3 can create human-like text on demand, and DALL-E, a machine learning model that generates images from text prompts, has exploded in popularity on social media, answering the world’s most pressing questions such as, “what would Darth Vader look like ice fishing?” Today, we have an interesting topic to discuss.
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The Product Coalition
APRIL 11, 2022
According to Gartner , 85% of machine learning solutions fail because they use raw data. Data scientists work in isolation from operations specialists, and enterprises spend up to three months deploying an ML model. MLOps is an innovative format for working between data scientists and operations specialists.
The Product Coalition
MARCH 12, 2022
Photo by Jackson So on Unsplash Artificial intelligence (AI) is changing the way businesses operate across industries, with companies of all sizes using AI for social media and business operations and providing better experiences for their customers. Business Intelligence being data-driven, AI is a natural fit for this field.
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.
Intercom, Inc.
OCTOBER 13, 2020
We are at the start of a revolution in customer communication, powered by machine learning and artificial intelligence. So, modern machine learning opens up vast possibilities – but how do you harness this technology to make an actual customer-facing product? The cupcake approach to building bots.
Mind the Product
MAY 26, 2022
In this article, written for product managers, data scientists, and engineering teams we cover some growth areas and ideas on how to achieve more impact while working on building ML-based products. [.] Read more » The post How to build machine learning-based products appeared first on Mind the Product.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Greg Loughnane and Chris Alexiuk in this exciting webinar to learn all about: How to design and implement production-ready systems with guardrails, active monitoring of key evaluation metrics beyond latency and token count, managing prompts, and understanding the process for continuous improvement Best practices for setting up the proper mix of open- (..)
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