Smart Data Collective

APRIL 5, 2022

Although SageMaker has become a popular hardware accelerator since it was launched in 2017, there are plenty of other overlooked hardware accelerators on the market. If you want to streamline various parts of the data science development process, then you should be aware of all of your options.

Cost-Benefit 122

Cost-Benefit Machine Learning Data Science Unstructured Data 122

IBM Big Data Hub

MAY 26, 2023

Cloud computing offers the potential to redefine and personalize customer relationships, transform and optimize operations, improve governance and transparency, and expand business agility and capability. In 2017, 94% of hospitals used electronic clinical data from their EHR.

Consulting 74

Consulting Cost-Benefit Optimization Machine Learning 74

Smart Data Collective

MARCH 24, 2020

Big data is changing the direction of our economy in unprecedented ways. Every business should look for ways to monetize big data and use it to optimize your business model. The number of companies using big data is growing at an accelerated rate. However, companies need to use big data wisely.

Big Data 114

Big Data B2B Data mining Sales 114

Jet Global

OCTOBER 26, 2020

Companies running Oracle E-Business Suite (EBS) have many powerful tools available to them for data collection, storage, and retrieval. In 2017, Oracle suspended support for its Discover reporting tool. The post How to Optimize Your Oracle EBS Reporting in 2021 appeared first on insightsoftware.

Reporting 52

Reporting Optimization Sales Visualization 52

Domino Data Lab

MAY 8, 2019

The lens of reductionism and an overemphasis on engineering becomes an Achilles heel for data science work. Instead, consider a “full stack” tracing from the point of data collection all the way out through inference. Finale Doshi-Velez, Been Kim (2017-02-28) ; see also the Domino blog article about TCAV. 2018-06-21).

Machine Learning 105

Machine Learning Data Science Modeling Visualization 105

datapine

NOVEMBER 19, 2019

There are a large number of tools used in AI, including versions of search and mathematical optimization, logic, methods based on probability and economics, and many others. billion in 2017 to $190.61 Currently, popular approaches include statistical methods, computational intelligence, and traditional symbolic AI. billion by 2025.

Technology 279

Technology Internet of Things IT IoT 279

The Unofficial Google Data Science Blog

APRIL 17, 2017

Our team of data scientists and software engineers in Search Infrastructure was already engaged in a particular type of forecasting. They can arise from data collection errors or other unlikely-to-repeat causes such as an outage somewhere on the Internet. Accessed on 20 March 2017. Forecasting data and methods". [2]

Forecasting 83

Forecasting Modeling Statistics Uncertainty 83