Smart Data Collective

SEPTEMBER 17, 2019

What other risks and inefficiencies are you facing if you procrastinate on upgrading it? Getting your system checked out by professionals and upgrading your equipment can help decrease the risk you’ll experience an electrical fire. Machine learning technology is good at anticipating safety risks and addressing them.

Machine Learning 71

Machine Learning Enterprise Insurance Cost-Benefit 71

CIO Business Intelligence

NOVEMBER 29, 2023

When CEO Plinio Ayala joined Per Scholas in 2003, he noticed there weren’t enough skilled technicians to fix the hardware the organization collected. They run the risk that, by the time students do graduate, there will be a new skill that needs to be filled in the organization.

IT 101

IT Software Technology Cost-Benefit 101

erwin

APRIL 16, 2024

Decentralization has a downside, a risk of anarchy. Datavault , established in 2003, is a boutique data consultancy providing clients with data platform, governance and analytics solutions. Decentralized data, centralized governance Data mesh breaks monolithic data architectures into smaller, more manageable decentralized domains.

Metadata 52

Metadata Data Quality Data Governance Modeling 52

Mark Raskino

AUGUST 30, 2017

For example in 2003, when I visited Zagreb in Croatia for the first time – they had mobile phone text based payment for car parking. If they play the game intelligently, some of the very smallest countries can take advantage of their size to be world leading petri dishes for new industry fomentation. This is not a new observation.

Testing 53

Testing Experimentation Uncertainty Risk 53

bridgei2i

MAY 26, 2020

It is even more essential now that supply chains are empowered with a high standard of data and analytics sophistication to be able to cost-effectively serve the company’s purpose and combat risks at the same time. You know, Chief Risk Officers, for example, will no longer be confined to the credit industry. Anushruti: Perfect.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Done right, strategic forecasts can provide insights to decision makers on trends, incorporate forward-looking knowledge of product plans and technology roadmaps when relevant, expose the risks and biases of relying on any one forecasting methodology, and invite input from stakeholders on the uncertainty ranges.

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113

erwin

JUNE 7, 2022

I published my first book in 2003 showcasing how I used Ralph’s technique to create a large data warehouse in the Oracle database. Video: Empower 2021: Mitigating the risk associated with sensitive data across the enterprise. I first met Ralph in the early 1990’s while attending one of his seminars. Webcast: Build better data models.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

Andrew White

APRIL 22, 2020

Many highly leveraged firms will be at risk; debt will be at record levels in public and private so anyone who has cash will be predatory. Other markets will be changed forever, and wholly new opportunities may emerge. But not all firms will get past phase 2. Good firms, in any other economic cycle, will (perhaps unfairly) go under.

Software 52

Software Measurement Uncertainty Marketing 52

The Unofficial Google Data Science Blog

NOVEMBER 4, 2015

These estimates can be useful to make risk-adjusted decisions and explore-exploit trade-offs, or to find situations where the underlying regression method is particularly good or bad. 3] Bradley Efron, "Robbins, Empirical Bayes, and Microarrays" , Technical Report, 2003. [4]

KDD 40

KDD Testing Machine Learning Modeling 40

IBM Big Data Hub

OCTOBER 30, 2023

A proactive approach to the threat of a global health crisis After the SARS outbreak in 2003, federal and provincial governments in Canada recognized that their existing public health systems and IT were inadequate.

Reporting 66

Reporting Management Modeling Forecasting 66

O'Reilly on Data

DECEMBER 9, 2019

Modern portfolio theory assumes that rational, risk-averse investors demand a risk premium, a return in excess of a risk-free asset such as a treasury bill, for investing in risky assets such as equities. beta) is the level of systematic risk exposure to the market and ? or systematic risk exposure to the overall market.

Statistics 27

Statistics Uncertainty Risk Marketing 27