CIO Business Intelligence

OCTOBER 9, 2022

However, delay too long, and you also risk giving yourself an insurmountable technological handicap if uptake in your industry suddenly accelerates. While one of the precursors to the metaverse, SecondLife, proved in the short-term that such items could certainly be desirable (from 2003 to 2013 $3.2

Cost-Benefit 136

Cost-Benefit Manufacturing Experimentation Risk 136

Smart Data Collective

SEPTEMBER 17, 2019

You need to consider the benefits of using an electrical system that relies on machine learning technology. AI can make it much more cost-effective and efficient. E&T Magazine talked about the benefits of using AI in energy. What other risks and inefficiencies are you facing if you procrastinate on upgrading it?

Machine Learning 72

Machine Learning Enterprise Insurance Cost-Benefit 72

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. Overall, Per Scholas wants to help organizations see the benefits of more flexible hiring strategies. And we have grown those relationships.

IT 105

IT Software Technology Cost-Benefit 105

erwin

JUNE 7, 2022

Static over-provisioning or dynamic scaling will run up monthly cloud costs very quickly on a bad design. So, you really should get familiar with your cloud providers sizing vs. cost calculator. If I can cut down on the CPU and memory needs, I can cut this cost significantly. Look at Figure 1 below. Help your colleagues.

Data Warehouse 52

Data Warehouse Modeling Sales Data Lake 52

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. And I’m sure our listeners will benefit from this. Anushruti: Perfect. Love the simile, by the way.

Enterprise 131

Enterprise Management Forecasting Manufacturing 131

The Unofficial Google Data Science Blog

DECEMBER 4, 2019

Based on the decisions being made and how quickly plans can adjust to new forecast updates, what is the cost of forecasting too high or too low? If the costs of prediction error are asymmetric (e.g. What is the reduction in cost of a forecast that was improved by human intervention? 95th percentile).

Forecasting 113

Forecasting Data Science Statistics Uncertainty 113