DataRobot

NOVEMBER 15, 2022

Organizations are looking to deliver more business value from their AI investments, a hot topic at Big Data & AI World Asia. At the well-attended data science event, a DataRobot customer panel highlighted innovation with AI that challenges the status quo. Automate with Rapid Iteration to Get to Scale and Compliance.

Big Data 52

Big Data Conference Data Machine Learning 52

DataRobot

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. The new regulation greatly reduced the minimum threshold for compliance for banks from $50 billion to $1 billion in assets. More on this topic. The Framework for ML Governance. Download now.

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

CIO

JULY 13, 2022

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Data makes the most ambitious and even idealistic goals—like making the world a better place—possible. Trust : For data to make the world a better place, people must be able to trust it. Want to learn more?

Data 246

Data eBook Culture Government 246

Cloudera

JUNE 24, 2022

Much of the hype around big data and analytics focuses on business value and bottom-line impacts. Data makes the most ambitious and even idealistic goals —like making the world a better place — possible. Trust : For data to make the world a better place, people must be able to trust it. Want to learn more?

Data 76

Data eBook Culture Government 76

DataRobot

SEPTEMBER 13, 2022

What Do Data Scientists Do? Data scientists drive business outcomes. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. What data scientists do is directly tied to an organization’s AI maturity level. Download Now.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence Machine Learning 52

TIBCO - Connected Intelligence

AUGUST 10, 2020

Your data demands, like your data itself, are outpacing your data engineering methods and teams. Enterprise Scale : Support diverse data demands driven by multiple lines of business, hundreds of projects, and thousands of users while meeting your most demanding SLAs. Building your “CFO-ready” Financial Case.

Virtualization 69

Virtualization Data How To Data Engineering 69