Domino Data Lab

JULY 28, 2021

The data science lifecycle (DLSC) has been defined as an iterative process that leads from problem formulation to exploration, algorithmic analysis and data cleaning to obtaining a verifiable solution that can be used for decision making. How Enterprise MLOps Integrates into the DSLC. Manage Stage.

Data Science 59

Data Science Enterprise Modeling Experimentation 59

Domino Data Lab

AUGUST 6, 2021

All models require testing and auditing throughout their deployment and, because models are continually learning, there is always an element of risk that they will drift from their original standards. Model governance is a framework that determines how a company implements policies, controls access to models and tracks their activity.

Machine Learning 145

Machine Learning Modeling Testing Data Science 145

Domino Data Lab

JULY 19, 2021

One of the primary challenges of any ML/AI project is transitioning it from the hands of data scientists in the develop phase of the data science lifecycle into the hands of engineers in the deploy phase. Where in the life cycle does data scientists’ involvement end? The Enterprise MLOps Process Overview.

Enterprise 85

Enterprise Data Science Testing Modeling 85

Domino Data Lab

JULY 28, 2021

Data science is an exciting, interdisciplinary field that is revolutionizing the way companies approach every facet of their business. Data Science — A Venn Diagram of Skills. Data science encapsulates both old and new, traditional and cutting-edge. 3 Components of Data Science Skills.

Data Science 110

Data Science Statistics Predictive Analytics Recreation/Entertainment 110

Cloudera

JULY 26, 2021

With this first article of the two-part series on data product strategies, I am presenting some of the emerging themes in data product development and how they inform the prerequisites and foundational capabilities of an Enterprise data platform that would serve as the backbone for developing successful data product strategies.

Strategy 119

Strategy Data Science Unstructured Data Marketing 119

Domino Data Lab

JULY 28, 2021

For companies investing in data science, the stakes have never been so high. According to a recent survey from New Vantage Partners (NVP), 62 percent of firms have invested over $50 million in big data and AI, with 17 percent investing more than $500 million. The Challenges of Scaling Data Science.

Data Science 59

Data Science Enterprise Cost-Benefit Data-driven 59

IBM Big Data Hub

JULY 17, 2023

In this blog, I will cover: What is watsonx.ai? How can you get started today? is our enterprise-ready next-generation studio for AI builders, bringing together traditional machine learning (ML) and new generative AI capabilities powered by foundation models. What capabilities are included in watsonx.ai? What is watsonx.data?

Machine Learning 62

Machine Learning Data Warehouse Modeling Cost-Benefit 62