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 96

Analytics IoT Cost-Benefit Big Data 96

Smart Data Collective

JANUARY 6, 2021

Even college sports teams have discovered the benefits of big data and started using it to make stronger cases to potential sponsors. As it continues to grow, the introduction of big data technology is helping the physical world expand from real-life person-to-person contact to the virtual esports world. billion in 2020.

Internet of Things 137

Internet of Things IoT Broadcasting Big Data 137

Smart Data Collective

APRIL 20, 2019

They believe that advances in big data have made business cards, brochures and direct mail marketing obsolete. We showed that marketers are actually using big data to improve the performance of their direct mail marketing campaigns. In fact, we have found that big data is making business card marketing better than ever.

Big Data 81

Big Data Marketing Predictive Analytics IoT 81

AWS Big Data

MARCH 7, 2023

This post provides guidance on how to build scalable analytical solutions for gaming industry use cases using Amazon Redshift Serverless. Flexible and easy to use – The solutions should provide less restrictive, easy-to-access, and ready-to-use data. A data warehouse is one of the components in a data hub.

Analytics 72

Analytics Data Warehouse Data Lake Metadata 72

Smart Data Collective

JUNE 26, 2019

While it might not take a mountain of data to spot a pattern, the more data that is available, the better the chances that the trend is not an anomaly, but an established event. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.

Insurance 95

Insurance Data Analytics Analytics IoT 95

Smart Data Collective

NOVEMBER 12, 2021

Big data technology has been one of the biggest forces driving change in the financial sector over the past few years. Financial institutions servicing small businesses have been among those most affected by developments in big data. Big Data is the Future of Small Business Lending.

Data-driven 94

Data-driven IoT Big Data Internet of Things 94

Smart Data Collective

SEPTEMBER 26, 2019

The big data market is expected to be worth $189 billion by the end of this year. A number of factors are driving growth in big data. Demand for big data is part of the reason for the growth, but the fact that big data technology is evolving is another. What is Software Development? Structured.

Big Data 80

Big Data Software Unstructured Data Data Integration 80

AWS Big Data

JANUARY 26, 2023

Amazon Kinesis Data Analytics is the easiest way to transform and analyze streaming data in real time using Apache Flink. Apache Flink is a popular open-source framework and distributed processing engine for stateful computations over unbounded and bounded data streams.

Data Analytics 86

Data Analytics Analytics IoT Publishing 86

Cloudera

AUGUST 3, 2021

Advanced analytics empower risk reduction . Advanced analytics and enterprise data are empowering several overarching initiatives in supply chain risk reduction – improved visibility and transparency into all aspects of the supply chain balanced with data governance and security. .

Analytics 111

Analytics Digital Transformation Forecasting Risk 111

IBM Big Data Hub

DECEMBER 18, 2023

Urban planning Governments use GIS data and GIS-based solutions for urban planning: zoning and land use projects, natural disaster and health event response, roadway system and building design, utility distribution, energy production, and waste and resource management. ” can be answered by geospatial data and GIS.

Internet of Things 96

Internet of Things IoT Forecasting Visualization 96

Smart Data Collective

MAY 20, 2019

We’re well past the point of realization that big data and advanced analytics solutions are valuable — just about everyone knows this by now. Big data alone has become a modern staple of nearly every industry from retail to manufacturing, and for good reason.

Analytics 111

Analytics Machine Learning Business Intelligence Big Data 111

Data Science 101

JULY 31, 2019

The focus of the event is data in the cloud (migrating, storing and machine learning). Some of the topics from the summit include: Data Science IoT Streaming Data AI Data Visualization. Learn from companies which have migrated data platforms from on-premise to the cloud.

IoT 95

IoT Machine Learning Data Science Visualization 95

AWS Big Data

OCTOBER 3, 2023

In our previous post Improve operational efficiencies of Apache Iceberg tables built on Amazon S3 data lakes , we discussed how you can implement solutions to improve operational efficiencies of your Amazon Simple Storage Service (Amazon S3) data lake that is using the Apache Iceberg open table format and running on the Amazon EMR big data platform.

Optimization 110

Optimization Snapshot Data Lake Metadata 110

Rocket-Powered Data Science

JULY 7, 2019

Analytics: The products of Machine Learning and Data Science (such as predictive analytics, health analytics, cyber analytics). 7) Security (airports, shopping malls, entertainment & sport events). Edge Computing (and Edge Analytics): Industry 4.0: 5) Big Data Exploration.

Internet of Things 157

Internet of Things Machine Learning Manufacturing IoT 157

CIO Business Intelligence

JUNE 20, 2022

Otis One’s cloud-native platform is built on Microsoft Azure and taps into a Snowflake data lake. IoT sensors send elevator data to the cloud platform, where analytics are applied to support business operations, including reporting, data visualization, and predictive modeling. based company’s elevators smarter.

Internet of Things 105

Internet of Things IoT Manufacturing Data Lake 105

AWS Big Data

APRIL 11, 2023

Such a solution should use the latest technologies, including Internet of Things (IoT) sensors, cloud computing, and machine learning (ML), to provide accurate, timely, and actionable data. In this post, we discuss how to streamline inventory management forecasting systems with AWS managed analytics, AI/ML, and database services.

Forecasting 76

Forecasting Management IoT Data-driven 76

AWS Big Data

APRIL 12, 2024

Streaming data refers to data that is continuously generated from a variety of sources. The sources of this data, such as clickstream events, change data capture (CDC), application and service logs, and Internet of Things (IoT) data streams are proliferating. Bosco Albuquerque is a Sr.

Data Architecture 92

Data Architecture IoT Internet of Things Recreation/Entertainment 92

IBM Big Data Hub

FEBRUARY 19, 2024

By developing contingency plans and resilient supply chains, companies can continue to operate even when unexpected events occur. Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs.

Strategy 81

Strategy Management Forecasting Cost-Benefit 81

IBM Big Data Hub

APRIL 22, 2024

Energy transition and climate resilience Applying AI and IoT to accelerate the transition to sustainable energy sources There is a clear need (link resides ibm.com) to accelerate the transition to low-carbon energy sources and transform infrastructures to build more climate-resilient organizations.

IoT 77

IoT Internet of Things Cost-Benefit Reporting 77

AWS Big Data

DECEMBER 13, 2023

Traditionally, customers used batch-based approaches for data movement from operational systems to analytical systems. A batch-based approach can introduce latency in data movement and reduce the value of data for analytics. usually a data warehouse) needs to reflect those changes in near real-time.

Data Warehouse 98

Data Warehouse Snapshot Data Processing Management 98

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Manufacturing 84

Manufacturing IoT Forecasting Machine Learning 84

Smart Data Collective

SEPTEMBER 26, 2019

We have smartphones, smart speakers, smart cars and an entire Internet of Things (IoT) filled with devices meant to make our lives easier and more intuitive. Even the data businesses use has the option to become smart when business intelligence practices come into play. Smart items make up the majority of modern life.

Internet of Things 70

Internet of Things IoT Cost-Benefit Insurance 70

Alation

FEBRUARY 13, 2020

It is about hurricanes and big events like the California wildfires, but it is also about complex things like satellite launches, for example, or big building projects. A lot of people in our audience are looking at implementing data lakes or are in the middle of big data lake initiatives.

Data-driven 52

Data-driven Data Lake Enterprise Analytics 52

IBM Big Data Hub

FEBRUARY 29, 2024

These systems can be especially useful during natural disasters, cyberattacks or other events that may disrupt the power supply in a region. By integrating smart grids and Internet of Things (IoT) devices, businesses can better manage their energy use. How can your organization make its own contribution?

IoT 94

IoT Internet of Things Optimization Manufacturing 94

Cloudera

AUGUST 18, 2021

For those models to produce meaningful outcomes, organizations need a well-defined data lifecycle management process that addresses the complexities of capturing, analyzing, and acting on data. Then, a full scale AI deployment must continuously collect, clean, transform, label, and store larger amounts of data.”.

Data Lake 88

Data Lake IoT Internet of Things Data-driven 88

AWS Big Data

MAY 16, 2023

Different communication infrastructure types such as mesh network and cellular can be used to send load information on a pre-defined schedule or event data in real time to the backend servers residing in the utility UDN (Utility Data Network). QuickSight provides an ideal solution to meet these business needs.

Dashboards 78

Dashboards Statistics Data Collection Business Intelligence 78

Smart Data Collective

NOVEMBER 25, 2019

More and more often, businesses are using data to drive their decisions — which makes cutting-edge analytics and business intelligence strategies one of the best advantages a company can have. New Avenues of Data Discovery. AI-Powered Big Data Technology. Predictive Business Analytics.

Business Intelligence 102

Business Intelligence Predictive Analytics Data Collection Internet of Things 102

CIO Business Intelligence

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. This has also accelerated the execution of edge computing solutions so compute and real-time decisioning can be closer to where the data is generated.

Data Strategy 110

Data Strategy Strategy Machine Learning Data-driven 110

erwin

JUNE 11, 2020

Big IT companies even have off-the-shelf data analytics software ready to be configured by a company to their needs. Apply real-time data in marketing strategies. Real-time data analytics can be used by businesses to better meet customer needs as it arises and improve customer satisfaction.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

datapine

NOVEMBER 19, 2019

In this day and age, we’re all constantly hearing the terms “big data”, “data scientist”, and “in-memory analytics” being thrown around. Social BI indicates the process of gathering, analyzing, publishing, and sharing data, reports, and information. EXPERT OPINION].

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

FEBRUARY 6, 2023

The parser also has other capabilities, including sorting events by time, removing dedicates, and merging multiple logs. He helps customers innovate their business with AWS Analytics, IoT, and AI/ML services. He has a specialty in big data services and technologies and an interest in building customer business outcomes together.

Dashboards 76

Dashboards Optimization Data Lake Cost-Benefit 76

IBM Big Data Hub

JUNE 30, 2023

safety equipment, parts for trucks, and raw materials for infrastructure), weather events, customer demand levels, and logistics can help prevent disruption in operations, too. However, maintenance inventory optimization is only part of the solution. Visibility into other key inventory (e.g.,

Consulting 59

Consulting B2B IoT Optimization 59

Jet Global

JULY 2, 2019

All sources of data within your enterprise are tributaries for your data lake, which will collect all of your data, regardless of form, function, size, or speed. This is particularly useful when capturing event tracking or IoT data; though the uses of data lakes extend beyond just those scenarios.

Data Lake 73

Data Lake Data Warehouse Big Data Machine Learning 73

Cloudera

JANUARY 20, 2021

Most of what is written though has to do with the enabling technology platforms (cloud or edge or point solutions like data warehouses) or use cases that are driving these benefits (predictive analytics applied to preventive maintenance, financial institution’s fraud detection, or predictive health monitoring as examples) not the underlying data.

Digital Transformation 110

Digital Transformation Manufacturing Data Warehouse Predictive Analytics 110

Sanjeev Mohan

JANUARY 15, 2018

I have been working as a research analyst responsible for the Big Data topics for the last year. So, my goal is to write about all things data. However, for my first blog, I thought of writing a paean to my admiration for data. I find the space of Big Data both intellectually stimulating and challenging.

Data Lake 45

Data Lake IoT Big Data Interactive 45

IBM Big Data Hub

SEPTEMBER 19, 2022

Join SingleStore and IBM on September 21, 2022 for our webinar “ Accelerating Real-Time IoT Analytics with IBM Cognos and SingleStore ”. Why real-time analytics matters for IoT systems. IoT systems access millions of devices that generate large amounts of streaming data. Real-time operational dashboards.

IoT 52

IoT Analytics Data Warehouse Manufacturing 52

IBM Big Data Hub

JULY 27, 2023

More recently, these systems have integrated advanced technologies like Internet of Things (IoT), artificial intelligence (AI) and machine learning (ML) to enable predictive analytics and real-time monitoring. Trend #5: The rise of mobile EAM solutions Mobile technology is making EAM more accessible than ever.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56