CIO Business Intelligence

MAY 23, 2022

The cloud is great for experimentation when data sets are smaller and model complexity is light. Often the burden of platform development can fall on data science and developer teams who know what they need for their projects, but whose skills are better served focusing on experimentation with algorithms instead of systems development.

Experimentation 119

Experimentation Cost-Benefit Data Lake Data Science 119

DataRobot Blog

FEBRUARY 28, 2023

Integrating different systems, data sources, and technologies within an ecosystem can be difficult and time-consuming, leading to inefficiencies, data silos, broken machine learning models, and locked ROI. We recently announced DataRobot’s new Hosted Notebooks capability. Learn more about DataRobot hosted notebooks.

Data Processing 72

Data Processing Experimentation Machine Learning Modeling 72

DataRobot Blog

NOVEMBER 15, 2022

At the event, a financial services panel discussion shared why iteration and experimentation are critical in an AI-driven data science environment. Ted highlighted four key stakeholder needs: AI Innovators have a strategic lens and are looking at the overall ROI of the AI project while assessing critical elements like trust and risk.

Big Data 52

Big Data Experimentation Data-driven Machine Learning 52

O'Reilly on Data

MARCH 31, 2020

But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools. The need for an experimental culture implies that machine learning is currently better suited to the consumer space than it is to enterprise companies.

Management 327

Management Machine Learning Experimentation Metrics 327

CIO Business Intelligence

AUGUST 1, 2023

Define a game-changing LLM strategy At a recent Coffee with Digital Trailblazers I hosted, we discussed how generative AI and LLMs will impact every industry. Improving customer support is a quick win for delivering short-term ROI from LLMs and AI search capabilities.

Digital Transformation 96

Digital Transformation Unstructured Data Strategy Experimentation 96

IBM Big Data Hub

APRIL 18, 2024

While leaders have some reservations about the benefits of current AI, organizations are actively investing in gen AI deployment, significantly increasing budgets, expanding use cases, and transitioning projects from experimentation to production. A key trend is the adoption of multiple models in production.

Cost-Benefit 91

Cost-Benefit Modeling Manufacturing Interactive 91

Domino Data Lab

MAY 8, 2019

At CMU I joined a panel hosted by Zachary Lipton where someone in the audience asked a question about machine learning model interpretation. They also require advanced skills in statistics, experimental design, causal inference, and so on – more than most data science teams will have. Let’s look through some antidotes.

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105