Cloudera

SEPTEMBER 24, 2021

One of the most substantial big data workloads over the past fifteen years has been in the domain of telecom network analytics. The Dawn of Telco Big Data: 2007-2012. Suddenly, it was possible to build a data model of the network and create both a historical and predictive view of its behaviour.

Analytics 91

Analytics IoT Cost-Benefit Big Data 91

Sisense

JULY 29, 2020

Every company is becoming a data company. In Data-Powered Businesses , we dive into the ways that companies of all kinds are digitally transforming to make smarter data-driven decisions, monetize their data, and create companies that will thrive in our current era of Big Data.

Analytics 95

Analytics Digital Transformation Data-driven Sales 95

datapine

MARCH 15, 2019

At present, 53% of businesses are in the process of adopting big data analytics as part of their core business strategy – and it’s no coincidence. To win on today’s information-rich digital battlefield, turning insight into action is a must, and online data analysis tools are the very vessel for doing so.

Technology 143

Technology Cost-Benefit KPI Dashboards 143

Jedox

JULY 17, 2018

The digital transformation is redefining the world as we know it at a pace faster than most people could ever imagine. But it is more than just massive computing power, artificial intelligence with sophisticated algorithms, and tons of data that are propelling this megatrend forward.

Machine Learning 47

Machine Learning Technology Digital Transformation Predictive Analytics 47

IBM Big Data Hub

MAY 17, 2024

By using machine learning algorithms and big data analytics, AI can uncover patterns, correlations and trends that might escape human analysts. These capabilities can help businesses make informed decisions, improve operational efficiencies, and identify opportunities for growth. The

B2B 70

B2B Interactive Optimization Forecasting 70

IBM Big Data Hub

SEPTEMBER 26, 2022

Today state health departments around the country are taking the data-leveraging lessons learned during the pandemic and applying them to an array of public health crises affecting underserved groups. Learn how you can take advantage of your data so users make faster, better decisions using the right architecture.

B2B 52

B2B Visualization Data-driven Cost-Benefit 52

CIO Business Intelligence

OCTOBER 18, 2023

The solution uses CloudWatch alerts to send notifications to the DataOps team when there are failures or errors, while Kinesis Data Analytics and Kinesis Data Streams are used to generate data quality alerts. Waguespack adds that the project has been another step in Fresenius Medical Care’s ongoing digital transformation.

Predictive Analytics 133

Predictive Analytics Analytics Machine Learning Digital Transformation 133

IBM Big Data Hub

FEBRUARY 14, 2024

By infusing AI into IT operations , companies can harness the considerable power of NLP, big data, and ML models to automate and streamline operational workflows, and monitor event correlation and causality determination. AIOps is one of the fastest ways to boost ROI from digital transformation investments.

Cost-Benefit 87

Cost-Benefit Insurance Unstructured Data Machine Learning 87

IBM Big Data Hub

JULY 26, 2023

The use of digital twins is one such innovation. In the era of digital transformation, digital twins are emerging as a potent solution to energy production challenges. In this context, a maintenance team would create a digital twin of a piece of equipment or machinery.

Technology 56

Technology Cost-Benefit Optimization Internet of Things 56

BizAcuity

JUNE 3, 2022

Their seamless digital transformation included having to change the way they operated their stores. Current trends show retailers experimenting with emerging technologies like Predictive Analytics and IoT. The use of predictive analytics for demand forecasting has been trending for the past few years.

Data Analytics 59

Data Analytics Analytics Forecasting Predictive Analytics 59

BizAcuity

MARCH 31, 2022

Combined, it has come to a point where data analytics is your safety net first, and business driver second. By 2025, 80% of organizations seeking to scale digital business will fail because they do not take a modern approach to data and analytics governance. Artificial Intelligence Analytics. Source: TCS).

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Alation

MARCH 21, 2023

To fully realize data’s value, organizations in the travel industry need to dismantle data silos so that they can securely and efficiently leverage analytics across their organizations. What is big data in the travel and tourism industry? Why is data analytics important for travel organizations?

Data Analytics 52

Data Analytics Analytics Data-driven Big Data 52

IBM Big Data Hub

JUNE 14, 2023

An innovative application of the Industrial Internet of Things (IIoT), SM systems rely on the use of high-tech sensors to collect vital performance and health data from an organization’s critical assets. Ensure that sensitive data remains within their own network, improving security and compliance.

Manufacturing 76

Manufacturing Technology Internet of Things Cost-Benefit 76

Cloudera

FEBRUARY 3, 2021

With streaming data, analytics, machine learning, and the cloud, organizations can increase operational efficiency and better manage supply chain creation, as well as disruption. Leveraging all data sources and breaking down the silos that prevent data consolidation allows advanced predictive analytics.

Manufacturing 103

Manufacturing Forecasting Internet of Things Risk 103

IBM Big Data Hub

OCTOBER 20, 2023

The retail industry is digitally transforming, embracing AI at its core to enable key capabilities across five primary areas: Personalized shopping experiences : AI delivers hyper-localized insights and real-time recommendations.

Machine Learning 78

Machine Learning Manufacturing Cost-Benefit Deep Learning 78

Andrew White

JANUARY 11, 2021

Note: Delivery of data, analytics solutions and the sustainment of technology, data and services is a question. On end user clients calls, are you hearing a greater focus on use cases and greater need for prescriptive analytics, ex marketing analytics, sales analytics, healthcare, etc. Governance.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52