Hurwitz & Associates

JULY 10, 2018

The volume and even types of data relevant to doing business have been growing at an accelerated pace for some time, in great part as an outgrowth of web-based applications designed to reach consumers and support end user activities such as social media.

IoT 40

IoT Management Unstructured Data Internet of Things 40

IBM Big Data Hub

JULY 6, 2023

Data from various sources, collected in different forms, require data entry and compilation. That can be made easier today with virtual data warehouses that have a centralized platform where data from different sources can be stored. One challenge in applying data science is to identify pertinent business issues.

Machine Learning 54

Machine Learning Data Science Statistics Deep Learning 54

CIO Business Intelligence

NOVEMBER 25, 2022

Today, more than 90% of its applications run in the cloud, with most of its data is housed and analyzed in a homegrown enterprise data warehouse. Like many CIOs, Carhartt’s top digital leader is aware that data is the key to making advanced technologies work. Today, we backflush our data lake through our data warehouse.

Data Lake 127

Data Lake Data Warehouse Unstructured Data Data Architecture 127

IBM Big Data Hub

SEPTEMBER 19, 2022

Smart grids, which include components like sensors and smart meters, produce a wealth of telemetry data that can be used for multiple purposes, including: Identifying anomalies such as manufacturing defects or process deviations. Supply chain optimization (in manufacturing). Real-time operational dashboards.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

CIO Business Intelligence

MAY 24, 2022

The survey found the mean number of data sources per organisation to be 400, and more than 20 percent of companies surveyed to be drawing from 1,000 or more data sources to feed business intelligence and analytics systems. However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years.

Data-driven 98

Data-driven Data Lake Data Warehouse Cost-Benefit 98

IBM Big Data Hub

AUGUST 1, 2023

Instead of spending time and effort on training a model from scratch, data scientists can use pretrained foundation models as starting points to create or customize generative AI models for a specific use case. A specific kind of foundation model known as a large language model (LLM) is trained on vast amounts of text data for NLP tasks.

Modeling 55

Modeling Cost-Benefit Data Lake Machine Learning 55

Rocket-Powered Data Science

MARCH 20, 2023

In fact, by putting a single label like AI on all the steps of a data-driven business process, we have effectively not only blurred the process, but we have also blurred the particular characteristics that make each step separately distinct, uniquely critical, and ultimately dependent on specialized, specific technologies at each step.

Data Warehouse 325

Data Warehouse Metadata Digital Transformation Unstructured Data 325

Alation

APRIL 19, 2022

Data modernization is the process of transferring data to modern cloud-based databases from outdated or siloed legacy databases, including structured and unstructured data. In that sense, data modernization is synonymous with cloud migration. What Is the Role of Data Governance in Data Modernization?

Cost-Benefit 52

Cost-Benefit Data Governance Manufacturing Data Architecture 52