The Product Coalition
FEBRUARY 29, 2024
Let’s talk confidently about how to select the perfect LLM companion for your project. The AI landscape is buzzing with Large Language Models (LLMs) like GPT-4, Llama2, and Gemini, each promising linguistic prowess. They excel at crafting captivating content, translating languages, and summarizing information.
The Product Guy
JANUARY 27, 2019
Artificial intelligence, machine learning, deep learning, and other intelligent algorithms are at the core of transformation for technology eating the world. It isn’t as easy as sprinkling some magic AI dust. Check it out… About The Product Mentor. Better Products. Better Product People.
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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. The peculiarities of MLOps workflow The workflow is based on the development cycle of an ML model.
The Product Coalition
JULY 29, 2022
The emergence and evolution of data science have been one of the biggest impacts of technology on enterprises. As the web world keeps growing and getting competitive, there’s a dire need for businesses to learn as much as they can about their consumers and the patterns impacting sales and profits. What exactly is Machine Learning (ML)?
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.
Product Innovation Educators
DECEMBER 16, 2024
Drawing from his 20+ years of technology experience and extensive research, Nishant shared insights about how these activities vary across different organizational contexts – from startups to enterprises, B2B to B2C, and Agile to Waterfall environments.
Roman Pichler
MARCH 12, 2024
The company took the strategic decision to heavily invest in artificial intelligence and now uses AI to help Office users be more productive. [1] To ensure that the right technologies are applied, you’ll benefit from using a technology strategy. Let’s take Microsoft as an example again.
Advertiser: Data Robot
As machine learning models are put into production and used to make critical business decisions, the primary challenge becomes operation and management of multiple models. Download the report to find out: How enterprises in various industries are using MLOps capabilities.
Advertiser: Data Robot
Democratization puts AI into the hands of non-data scientists and makes artificial intelligence accessible to every area of an organization.
Advertiser: Data Robot
With the number of available data science roles increasing by a staggering 650% since 2012, organizations are clearly looking for professionals who have the right combination of computer science, modeling, mathematics, and business skills. Fostering collaboration between DevOps and machine learning operations (MLOps) teams.
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