Smart Data Collective

APRIL 5, 2021

Data science is transforming the way web development and designs are created for more consumer satisfaction. With machine learning and artificial intelligence, web developmental updates can be done automatically, considering the data patterns and user flow. Advantages of Using Big Data for Web Design. Automating Updates.

Big Data 137

Big Data Data-driven IT Sales 137

CIO Business Intelligence

MAY 4, 2022

Further, the company is also transforming its organizational culture to become a more data-driven enterprise by integrating data science applications with supply chains and decision cycles. . The department stopped working on isolated apps and projects. It emerged as a system of digital platforms.

Recreation/Entertainment 98

Recreation/Entertainment Data-driven Marketing Testing 98

Cloudera

NOVEMBER 7, 2023

OBS buckets provide rich storage for media files and other unstructured data enabling exploration of unstructured data. If you are interested in learning more about how to use Apache Ozone to power data science, this is a great article. If you want to know more about Cloudera on private cloud, see here.

Unstructured Data 105

Unstructured Data Data Architecture Optimization Interactive 105

CIO Business Intelligence

NOVEMBER 14, 2022

To meet the challenges and opportunities of the changing analytics landscape, technology leaders need a data strategy that addresses four critical needs: Deliver advanced analytics and machine learning that can scale and adapt to whatever evolutions in applications and data science the future may hold.

Analytics 111

Analytics Machine Learning Testing Data Strategy 111

CIO Business Intelligence

APRIL 15, 2022

But according to the UK’s Turing Institute, a national center for data science and AI, the predictive tools made little to no difference. Like all other big retailers, Target had been collecting data on its customers via shopper codes, credit cards, surveys, and more.

Analytics 145

Analytics Machine Learning Insurance Testing 145

CIO Business Intelligence

JUNE 23, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Our customers have consistently told us that analytic needs evolve rapidly, whether it is modern BI, AI/ML, data science, or more.

Data Lake 98

Data Lake Data Warehouse Machine Learning Data-driven 98

DataKitchen

FEBRUARY 21, 2023

His team is already on Azure and uses ADF, Synapse, PowerBi, and several powerful Azure Data Science tools. Data Engineering teams often deliver to one or more self-service teams in a hub and spoke or data enablement organization model. Shouldn’t Marcus consider upgrading his technology? A better ETL tool?

Data-driven 130

Data-driven Testing Risk Cost-Benefit 130

Cloudera

JUNE 18, 2022

It provided the concept of a database, schemas, and tables for describing the structure of a data lake in a way that let BI tools traverse the data efficiently. Our customers have consistently told us that analytic needs evolve rapidly, whether it is modern BI, AI/ML, data science, or more.

Data Lake 94

Data Lake Data Warehouse Machine Learning Data-driven 94

datapine

OCTOBER 14, 2020

An interactive dashboard is a data management tool that tracks, analyzes, monitors, and visually displays key business metrics while allowing users to interact with data, enabling them to make well-informed, data-driven, and healthy business decisions. What Is An Interactive Dashboard? 4) Cross Tab Filters.

Dashboards 235

Dashboards Interactive Reporting KPI 235

IBM Big Data Hub

MAY 9, 2023

At IBM, we believe it is time to place the power of AI in the hands of all kinds of “AI builders” — from data scientists to developers to everyday users who have never written a single line of code. Watsonx, IBM’s next-generation AI platform, is designed to do just that.

Data Warehouse 106

Data Warehouse Machine Learning Cost-Benefit Metadata 106

IBM Big Data Hub

OCTOBER 20, 2023

AI platforms offer a wide range of capabilities that can help organizations streamline operations, make data-driven decisions, deploy AI applications effectively and achieve competitive advantages. Visual modeling: Combine visual data science with open source libraries and notebook-based interfaces on a unified data and AI studio.

Machine Learning 71

Machine Learning Manufacturing Deep Learning Cost-Benefit 71

Smart Data Collective

OCTOBER 17, 2022

zettabytes of data in 2020, a tenfold increase from 6.5 While growing data enables companies to set baselines, benchmarks, and targets to keep moving ahead, it poses a question as to what actually causes it and what it means to your organization’s engineering team efficiency. This is an increase from 64.2 zettabytes in 2012.

Big Data 119

Big Data Data-driven Recreation/Entertainment Data Governance 119

Cloudera

SEPTEMBER 12, 2018

It was deeply gratifying to see so many organizations deploying the tools and techniques of data science and advanced analytics to solve difficult and important problems. I predict that next year’s competition will be even more amazing as we continue pushing the frontiers of data science forward. Societal Impact:

Machine Learning 45

Machine Learning Big Data Data Science Data Warehouse 45

IBM Big Data Hub

DECEMBER 7, 2023

Initially, they were designed for handling large volumes of multidimensional data, enabling businesses to perform complex analytical tasks, such as drill-down , roll-up and slice-and-dice. Early OLAP systems were separate, specialized databases with unique data storage structures and query languages.

OLAP 57

OLAP Slice and Dice Cost-Benefit Data Warehouse 57

Alation

FEBRUARY 20, 2020

She’s seen the evolution of the self-service analytics market from decision systems to business intelligence to data visualization to data science and automated intelligence.

Machine Learning 52

Machine Learning Marketing Reporting Metadata 52

Ontotext

AUGUST 17, 2023

Graph technologies refer to a different way of storing and analyzing data that enables answering questions from data that were previously impossible. It’s the foundational technology that connects the dots across the data, enabling us to do all those other things we want to be able to do to drive insight.

Digital Transformation 52

Digital Transformation IT Cost-Benefit Data-driven 52

Andrew White

JANUARY 11, 2021

As such a head of analytics, BI and data science may emerge. Are you anticipating continued separation of “BI/Analytics” teams from “Data Science” teams or are those roles merging in the years ahead? Many data science labs are set up as shared services. That’s the idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Alation

FEBRUARY 13, 2020

Enterprises are… turning to data catalogs to democratize access to data, enable tribal data knowledge to curate information, apply data policies, and activate all data for business value quickly.”.

Metadata 52

Metadata Machine Learning Data Governance Reporting 52

AWS Big Data

MAY 4, 2023

The amount of data and the number of power plants they need to collect data are rapidly increasing over time. For example, the volume of data required for training one of the ML models is more than 200 TB. In addition to these benefits, Lambda allows you to configure ephemeral storage (/tmp) between 512–10,240 MB.

Data-driven 52

Data-driven Technology Cost-Benefit Machine Learning 52

Smart Data Collective

MARCH 22, 2023

An enormous amount of data is produced in an industry like the maritime industry, which manages many people and cargo. And data is everything in the twenty-first century. Data enables commercial decision-makers to base their choices on facts, statistical data, and trends.

Big Data 115

Big Data Advertising Data-driven Data Science 115

Grooper

AUGUST 19, 2019

Choosing the best analytics and BI platform for solving business problems requires non-technical workers to “speak data.”. A baseline understanding of data enables the proper communication required to “be on the same page” with data scientists and engineers. Data science skills. What is data science?

Analytics 54

Analytics Machine Learning Data Science Data-driven 54

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52