IBM Journey to AI blog

JANUARY 15, 2024

For instance, organizations that are struggling to build their own IT services can assess whether some internal legacy tech should be replaced with technologies from software-as-a-service (SaaS) providers. While digital transformation has been a trend for some years, emerging technologies have made this movement even more important.

Internet of Things 73

Internet of Things Machine Learning Machine Learning ML 73

Dataconomy

MAY 26, 2023

Grid Dynamics’ new ebook evaluates the digital ecosystem needed for the successful adoption of generative AI across industries and explores the readiness levels required to implement low to high-complexity applications in healthcare, pharma, manufacturing, financial services, insurance, gaming, and retail. Who co-pilots the co-pilots?

AI 70

AI AI Data Quality DataOps 70

Alation

FEBRUARY 10, 2022

Data classification is necessary for leveraging data effectively and efficiently. Effective data classification helps mitigate risk, maintain governance and compliance, improve efficiencies, and help businesses understand and better use data. Manual Data Classification. Automated Data Classification.

Data Classification 52

Data Classification Data Governance Data Analyst ML 52

Smart Data Collective

NOVEMBER 4, 2021

The important thing about cloud-native development or migrating your old software to the cloud is having the right skills and the right team to be able to operate there. The important thing about cloud-native development or migrating your old software to the cloud is having the right skills and the right team to be able to operate there.

Cloud Computing 118

Cloud Computing 118

Alation

AUGUST 26, 2021

What Is Data Intelligence? Data intelligence is a system to deliver trustworthy, reliable data. It includes intelligence about data, or metadata. IDC coined the term, stating, “data intelligence helps organizations answer six fundamental questions about data.” These questions are: Who is using what data?

Data Governance 64

Data Governance ML ML Artificial Intelligence 64

phData

DECEMBER 4, 2023

We’ll explore the options available to you and how they impact: Operating costs and complexity Security Performance This will allow you to get the most out of the Snowflake Data Cloud and deliver results back to the business. Congratulations! Want to save this guide for later? Download a free PDF by filling out the form.

Clustering 98

Clustering Database SQL Data Pipeline 98

The MLOps Blog

MARCH 21, 2023

From gathering and processing data to building models through experiments, deploying the best ones, and managing them at scale for continuous value in production—it’s a lot. As the number of ML-powered apps and services grows, it gets overwhelming for data scientists and ML engineers to build and deploy models at scale.

Machine Learning 69

Machine Learning Machine Learning Data Scientist ML 69