Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Unstructured Data Machine Learning Predictive Modeling 98

CIO Business Intelligence

MAY 8, 2024

Their AI engine can automatically learn data structures and relationships, simplifying the integration process and minimising the need for manual configuration. AI-powered data integration solutions are particularly effective in handling complex, unstructured data sources, such as social media feeds, sensor data, and customer interactions.

Data Integration 102

Data Integration IoT Cost-Benefit Machine Learning 102

Cloudera

JUNE 9, 2022

With support for more than 400 processors, CDF-PC makes it easy to collect and transform the data into the format that your lakehouse of choice requires. CDF-PC allows you to collect log data from anywhere and filter out the noise, keeping the data stored in your SIEM system manageable. Getting started.

Data Collection 94

Data Collection IoT Data Lake Unstructured Data 94

Hurwitz & Associates

JULY 10, 2018

Internet-of-Things (IoT) has entered the lexicon of IT-related buzz terms in a big way over the past few years, and there is good reason for this. IoT at its foundation refers to what can literally be billions of devices spanning the globe (and beyond) that can be connected to the internet to serve a variety of purposes.

IoT 40

IoT Management Unstructured Data Internet of Things 40

CIO Business Intelligence

JANUARY 24, 2024

Great for: Extracting meaning from unstructured data like network traffic, video & speech. Downsides: Lower accuracy; the source of dumb chatbots; not suited for unstructured data. It provides smart applications for translation, speech-to-text, cybersecurity monitoring and automation. Learn more.

Deep Learning 112

Deep Learning Unstructured Data Machine Learning Modeling 112

Smart Data Collective

SEPTEMBER 26, 2019

Unstructured. Unstructured data lacks a specific format or structure. As a result, processing and analyzing unstructured data is super-difficult and time-consuming. Semi-structured data contains a mixture of both structured and unstructured data. Semi-structured.

Big Data 101

Big Data Software Unstructured Data Data Integration 101

CIO Business Intelligence

JANUARY 20, 2023

The most innovative unstructured data storage solutions are flexible and designed to be reliable at any scale without sacrificing performance.

Analytics 137

Analytics Key Performance Indicator Unstructured Data Deep Learning 137

CIO Business Intelligence

AUGUST 9, 2024

Building this single source of truth was the only way the airport would have the capacity to augment the data with a digital twin, IoT sensor data, and predictive analytics, he says. Identifying and eliminating Excel flat files alone was very time consuming.

Data Transformation 126

Data Transformation Machine Learning Data Lake Dashboards 126

datapine

NOVEMBER 19, 2019

Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices. Brings out all her thoughts and love in writing blogs on IoT, software, technology, etc. However, collaborative BI helps in changing that. Author Bio: .

Business Intelligence 146

Business Intelligence Knowledge Discovery Dashboards Unstructured Data 146

AWS Big Data

JANUARY 8, 2024

In the subsequent post in our series, we will explore the architectural patterns in building streaming pipelines for real-time BI dashboards, contact center agent, ledger data, personalized real-time recommendation, log analytics, IoT data, Change Data Capture, and real-time marketing data.

Analytics 123

Analytics IoT Data-driven Snapshot 123

Smart Data Collective

NOVEMBER 25, 2019

New Avenues of Data Discovery. New data-collection technologies , like internet of things (IoT) devices, are providing businesses with vast banks of minute-to-minute data unlike anything collected before. NLP may also improve data collection by enabling AI to scan through and organize text-heavy, unstructured data.

Business Intelligence 132

Business Intelligence Predictive Analytics Data Collection Internet of Things 132

Cloudera

OCTOBER 29, 2020

With the massive explosion of data across the enterprise — both structured and unstructured from existing sources and new innovations such as streaming and IoT — businesses have needed to find creative ways of managing their increasingly complex data lifecycle to speed time to insight.

Visualization 111

Visualization Machine Learning Dashboards Data Warehouse 111

CIO Business Intelligence

JUNE 29, 2022

Data warehouses are designed for questions you already know you want to ask about your data, again and again. Data lakes, on the other hand, enable you to store structured and unstructured data to explore with new questions that you haven’t asked before. Bonus: Azure Stream Analytics and Azure Time Series Insights.

Data Lake 116

Data Lake Analytics Data Warehouse Machine Learning 116

Sisense

JULY 23, 2021

This analytics engine will process both structured and unstructured data. “We We are constantly collecting data from all kinds of different sources — whether it is a library of documents, analytics reports, pictures, or even videos,” says Chris.

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

CIO Business Intelligence

JUNE 28, 2022

And then there is the rise of privacy concerns around so much data being collected in the first place. Following are some of the dark secrets that make data management such a challenge for so many enterprises. Unstructured data is difficult to analyze.

Management 138

Management Internet of Things Statistics Data-driven 138

IBM Big Data Hub

AUGUST 22, 2023

Digital twins and integrated data For the presentation layer, you can leverage various capabilities, such as 3D modeling, augmented reality and various predictive model-based health scores and criticality indices.

Unstructured Data 73

Unstructured Data Consulting Visualization IoT 73

Cloudera

APRIL 20, 2021

Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production. Companies tried processing these data through batch processing but saw workloads run much slower from hours to days.

Analytics 95

Analytics Unstructured Data IoT Visualization 95

Cloudera

OCTOBER 5, 2023

However, many organizations have data silos, for instance when each department’s data is historically stored in disparate locations. Additionally, structured and unstructured data is often separate. By eliminating data silos, your data insights enable smarter and more accurate business decisions.

Data-driven 84

Data-driven Enterprise Data Governance Unstructured Data 84

bridgei2i

MAY 7, 2019

Most enterprises and heavyweight financial companies are acquiring start-ups with the motive to analyze the massive amounts of unstructured data automatically. Barclays is one such financial major that uses Apple iPhone’s personal assistant, Siri for quick payments and money transfers. Wealth Management for Clients.

IoT 40

IoT Unstructured Data Data-driven Finance 40

Octopai

JANUARY 31, 2022

Enterprises often use data sources originating outside their organization, including data sets from the internet, the IoT, industrial sources, and scientific sources. Some of these data assets are structured and easy to figure out how to integrate. Many others are rich, unstructured data sources like documents and videos.

Metadata 97

Metadata IT Unstructured Data IoT 97

CDW Research Hub

MARCH 12, 2021

Converged technologies that improve the efficiency of your data center can also yield a major reduction of your operational costs. Storage, physical space and the rise of unstructured data. The digital world is no longer a trend–it is the current landscape due to the rise of unstructured data.

Unstructured Data 52

Unstructured Data Internet of Things IoT Data Architecture 52

datapine

NOVEMBER 19, 2019

Collaborative software helps in institutionalizing structured as well as unstructured data to facilitate the sharing of insights, thoughts, information, and practices. Brings out all her thoughts and love in writing blogs on IoT, software, technology, etc. However, collaborative BI helps in changing that. Author Bio: .

Business Intelligence 20

Business Intelligence Knowledge Discovery Unstructured Data Dashboards 20

CIO Business Intelligence

MARCH 20, 2024

Moreover, new sources of ever expanding data produced by generative AI and the unfettered growth of unstructured data introduce even more challenges. Data at rest. Data in motion. Consider today’s IT architecture world: on premises, outsourced data center, public cloud, multicloud, hybrid cloud, the edge.

IoT 64

IoT Unstructured Data Insurance Data Processing 64

CIO Business Intelligence

JUNE 22, 2022

Digital infrastructure, of course, includes communications network infrastructure — including 5G, Fifth-Generation Fixed Network (F5G), Internet Protocol version 6+ (IPv6+), the Internet of Things (IoT), and the Industrial Internet — alongside computing infrastructure, such as Artificial Intelligence (AI), storage, computing, and data centers.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105

BizAcuity

MAY 10, 2022

2018: IoT and edge computing open up new opportunities for organizations. Microsoft starts to offer Azure IoT Central and IoT Edge. Google announces Cloud IoT. Edge computing is the process of decentralizing computer services and shifting them closer to the data source. 2019: Hybrid cloud strategy starts to trend.

Data-driven 52

Data-driven IoT Unstructured Data Data Lake 52

bridgei2i

NOVEMBER 25, 2020

From underwriting processes that typically involved manual effort (in gathering data from documents), enterprises have now shifted to automation with a digital core that can make it easier to analyze several types of data formats—textual, visual, sensor-based and electronic.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

OCTOBER 7, 2021

The versatility of the CDF platform and broader integration with CDP enable complex use cases that extend beyond the Data Mesh. For example, CDF has been used to implement enterprise-grade applications such as ingestion and processing of IoT data for customer analytics, real-time cybersecurity analytics, etc.

Metadata 124

Metadata Cost-Benefit Enterprise Interactive 124

Sisense

MAY 11, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Modeling 84

Modeling Big Data IoT Data Warehouse 84

Sisense

MARCH 14, 2021

Looking at the diagram, we see that Business Intelligence (BI) is a collection of analytical methods applied to big data to surface actionable intelligence by identifying patterns in voluminous data. As we move from right to left in the diagram, from big data to BI, we notice that unstructured data transforms into structured data.

Big Data 52

Big Data IoT Data Warehouse Data-driven 52

IBM Big Data Hub

MAY 17, 2023

The services are activated through access management for data collection, analysis and event monitoring in existing drones which are managed by clients and businesses. The flexibility of DaaS in offering a multiplicity of data collection services for different industry use cases makes it unique.

Data Collection 76

Data Collection Visualization Data-driven Unstructured Data 76

Ontotext

JANUARY 29, 2024

LLMs can optimize several tasks, such as updating taxonomies, classifying entities, and extracting new properties and relationships from unstructured data. As innovative and emerging technologies such as digital twins, IoT, AI, and ML gain further mind share, managing data will become even more important.

Strategy 52

Strategy Management Metadata Data-driven 52

bridgei2i

OCTOBER 7, 2020

The automated process can then be used to parse data sources like structured and unstructured data sources such as – IoT data, claims data, physical proofs, social data, life health data and in a variety of formats such as textual, visual, sensor-based and electronic etc.

Insurance 52

Insurance Sales Strategy Digital Transformation 52

Cloudera

AUGUST 30, 2018

Complicating matters is the increasing focus on data protection and the far-reaching implications of IoT (e.g. Below are a few C6 highlights to get you started: A new release of Cloudera’s Altus Director – the tool that helps you spin up multiple data and compute clusters in the cloud.

Enterprise 40

Enterprise Data-driven Digital Transformation Machine Learning 40

Data Insight

OCTOBER 27, 2021

Indeed, AI is adding significant value in a range of different industries: Banking & finance: Fraud detection, fast and accurate credit scoring, automated decisioning and data entry. Manufacturing: Forecasting expected demand, process automation, precision cutting, analysis of IoT data.

Machine Learning 52

Machine Learning Insurance Cost-Benefit Unstructured Data 52

AWS Big Data

FEBRUARY 21, 2023

SQL Depth Runtime in Seconds Cost per Query in Seconds 14 80 40,000 12 60 30,000 5 30 15,000 3 25 12,500 The hybrid model addresses major issues raised by the data vault and dimensional model approaches that we’ve discussed in this post, while also allowing improvements in data collection, including IoT data streaming.

Data Warehouse 70

Data Warehouse Data Lake Cost-Benefit Metadata 70

CIO Business Intelligence

MAY 24, 2022

However, more than 99 percent of respondents said they would migrate data to the cloud over the next two years. The Internet of Things (IoT) is a huge contributor of data to this growing volume, iotaComm estimates there are 35 billion IoT devices worldwide and that in 2025 all IoT devices combined will generate 79.4

Data-driven 98

Data-driven Data Lake Data Warehouse Machine Learning 98

Jet Global

MAY 9, 2024

Real-Time Analytics Pipelines : These pipelines process and analyze data in real-time or near-real-time to support decision-making in applications such as fraud detection, monitoring IoT devices, and providing personalized recommendations. As data flows into the pipeline, it is processed in real-time or near-real-time.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52