Intercom, Inc.
SEPTEMBER 9, 2022
In the past five years, we’ve seen neural network technology really take off into its own. We wanted to know what’s up with this surge, so we’ve asked our Director of Machine Learning, Fergal Reid , if we can pick his brain for today’s episode. It’s all about artificial intelligence and machine learning.
Tom Tunguz
JUNE 5, 2023
Training, deploying, & optimizing machine learning models has historically required teams of dedicated researchers, production engineers, data collection & labeling teams. AI deployment is sufficiently straightforward that a majority of teams won’t hire new experts to build them & will staff 1-2 people to launch them.
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SaaStr
MAY 19, 2020
One area to watch here is no doubt artificial intelligence, with numerous companies having taken it upon themselves to apply machine learning and deep learning to give themselves an edge in the industry. Challenge #1: How can I acquire data in order to train my health product’s machine learning model?
User Pilot
DECEMBER 20, 2023
Machine learning is a trending topic that has exploded in interest recently. Coupled closely together with Machine Learning is customer data. Combining customer data & machine learning unlocks the power of big data. What is machine learning?
Advertiser: Data Robot
Many organizations are dipping their toes into machine learning and artificial intelligence (AI). Machine Learning Operations (MLOps) allows organizations to alleviate many of the issues on the path to AI with ROI by providing a technological backbone for managing the machine learning lifecycle through automation and scalability.
How To Buy Saas
APRIL 5, 2024
Over recent years, Machine Learning (ML) and Artificial Intelligence (AI) technologies have become an essential element of SaaS Development Frameworks. Overview of Machine Learning and AI Integration. Examples may include: 1. Problems and Opportunities for Progress in Cyberspace (CCIP).
Tom Tunguz
JANUARY 17, 2019
AI Agencies use machine learning to disrupt a market dominated by agencies. Often, these startups begin as software companies selling machine learning software into agencies. The startup leverages machine learning under the hood. Most technology companies scale revenue independently of people.
Advertiser: Data Robot
And more is being asked of data scientists as companies look to implement artificial intelligence (AI) and machine learning technologies into key operations. Fostering collaboration between DevOps and machine learning operations (MLOps) teams. Sharing data with trusted partners and suppliers to ensure top value.
Advertiser: Data Robot
Numerous high-profile examples demonstrate the reality that AI is not a default “neutral” technology and can come to reflect or exacerbate bias encoded in human data. How to choose the appropriate fairness and bias metrics to prioritize for your machine learning models.
Advertiser: Data Robot
The game-changing potential of artificial intelligence (AI) and machine learning is well-documented. Any organization that is considering adopting AI at their organization must first be willing to trust in AI technology.
Advertiser: Data Robot
While everyone is talking about machine learning and artificial intelligence (AI), how are organizations actually using this technology to derive business value? This white paper covers: What’s new in machine learning and AI. Real-world examples of companies using the DataRobot automated machine learning platform.
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