CIO Business Intelligence

DECEMBER 19, 2023

Improving search capabilities and addressing unstructured data processing challenges are key gaps for CIOs who want to deliver generative AI capabilities. But 99% also report technical challenges, listing integration (68%), data volume and cleansing (59%), and managing unstructured data (55% ) as the top three.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

IBM Big Data Hub

MAY 19, 2023

In addition, cloud ERP solutions enable SMEs to enhance their overall productivity by reducing manufacturing time. TDC Digital caters to small factories, such as rolling door manufacturers, who use their platform to monitor their stock and production flow.

Unstructured Data 78

Unstructured Data Data Processing Manufacturing Data Lake 78

CIO Business Intelligence

FEBRUARY 16, 2023

My vision is that I can give the keys to my businesses to manage their data and run their data on their own, as opposed to the Data & Tech team being at the center and helping them out,” says Iyengar, director of Data & Tech at Straumann Group North America.

Unstructured Data 105

Unstructured Data Data Lake Prescriptive Analytics Digital Transformation 105

CIO Business Intelligence

JUNE 6, 2023

Memory and storage The vast amount of data generated by AI workloads requires high-capacity storage solutions that can handle both structured and unstructured data. Solid-state drives (SSDs) and non-volatile memory express (NVMe) enable faster data access and processing.

Manufacturing 98

Manufacturing Unstructured Data Optimization Software 98

IBM Big Data Hub

DECEMBER 19, 2023

However, data scientists should monitor results gathered through unsupervised learning. Because these techniques are making assumptions about the data being input, it is possible for them to incorrectly label anomalies. Engineers can apply unsupervised learning methods to automate feature learning and work with unstructured data.

Machine Learning 69

Machine Learning Optimization Unstructured Data Sales 69

IBM Big Data Hub

SEPTEMBER 19, 2023

Data science is an area of expertise that combines many disciplines such as mathematics, computer science, software engineering and statistics. It focuses on data collection and management of large-scale structured and unstructured data for various academic and business applications.

Data Science 82

Data Science Data Analytics Prescriptive Analytics Analytics 82

IBM Big Data Hub

FEBRUARY 14, 2024

Automotive With applications of AI, automotive manufacturers are able to more effectively predict and adjust production to respond to changes in supply and demand. Manufacturing Advanced AI with analytics can help manufacturers create predictive insights on market trends.

Cost-Benefit 86

Cost-Benefit Insurance Unstructured Data Machine Learning 86

Cloudera

FEBRUARY 8, 2021

Micheal Ger, Managing Director Manufacturing & Automotive at Cloudera summed up it best with the insight, “Imparting intelligence into connected cars is complex – involving hardware, software, and deep domain expertise. connected manufacturing, and connected vehicles, see more of his perspective at [link]. challenges.

Machine Learning 107

Machine Learning Manufacturing Unstructured Data Modeling 107

datapine

JUNE 5, 2019

Without the existence of dashboards and dashboard reporting practices, businesses would need to sift through colossal stacks of unstructured data, which is both inefficient and time-consuming. and industries (healthcare, retail, logistics, manufacturing, etc.). Our first data dashboard template is a management KPI dashboard.

Dashboards 316

Dashboards KPI Sales Visualization 316

IBM Big Data Hub

FEBRUARY 2, 2023

In addition, companies have complex data security requirements. Organizations looking to increase adoption of ML are turning to cloud data warehouses that support new, open data formats to catalog, ingest, and query unstructured data types.

Data Warehouse 57

Data Warehouse Cost-Benefit Unstructured Data Data Architecture 57

Cloudera

DECEMBER 3, 2020

A lot of the traditional in-person methods used for gathering data in insurance are now impossible and new ways of capturing data remotely are being implemented. The data being captured in forms of structured and unstructured data can unlock new insights.

Insurance 53

Insurance Unstructured Data Manufacturing Data-driven 53

Ontotext

MAY 25, 2023

The event attracts individuals interested in graph technology, machine learning and natural language processes in numerous verticals, including publishing, government, financial services, manufacturing and retail. We saw presentations showing the potential for knowledge graphs and LLM to complement each other.

Machine Learning 52

Machine Learning Structured Data Unstructured Data Predictive Modeling 52

AWS Big Data

MARCH 25, 2024

You can find similar use cases in other industries such as retail, car manufacturing, energy, and the financial industry. In this post, we discuss why data streaming is a crucial component of generative AI applications due to its real-time nature. For building such a data store, an unstructured data store would be best.

Data Lake 88

Data Lake Unstructured Data Management Modeling 88

Cloudera

OCTOBER 28, 2021

There is a wealth of data now available to make this possible. For example, the types of data sourced from other industries that we can use in the underwriting process include: Manufacturing – sensors (for quality, safety and maintenance-related). Another example is fleet management.

Insurance 95

Insurance Risk Unstructured Data Data-driven 95

Cloudera

APRIL 20, 2021

Streaming Analytics can be used in many industries: Healthcare: Monitoring hospital patients to get the latest and most actionable data to inform patient interactions better. Manufacturing: Process millions of messages per minute from IoT devices and sensor data and use ML models to enhance the speed of production.

Analytics 93

Analytics Unstructured Data IoT Visualization 93

CIO Business Intelligence

JULY 26, 2023

The residential real estate industry may not be perceived to be as digitally aggressive as Wall Street titans and multinational manufacturing conglomerates.

Data Lake 98

Data Lake Digital Transformation Machine Learning Data Architecture 98

Cloudera

DECEMBER 11, 2020

Without meeting GxP compliance, the Merck KGaA team could not run the enterprise data lake needed to store, curate, or process the data required to inform business decisions. It established a data governance framework within its enterprise data lake. Underpinning everything with security and governance.

Data Lake 98

Data Lake Cost-Benefit Unstructured Data Data Governance 98

Sisense

OCTOBER 6, 2020

With qualitative data, you can understand intention as well as behavior, thereby making predictive analytics more accurate and giving you fuller insights. You can analyze and learn from the large volume of unstructured data to ensure that your data-driven decisions are as solid as possible.

Statistics 98

Statistics Unstructured Data Data-driven Visualization 98

IBM Big Data Hub

JULY 6, 2023

Data science use cases Data science is widely used in industry and government, where it helps drive profits, innovate products and services, improve infrastructure and public systems and more. A manufacturer developed powerful, 3D-printed sensors to guide driverless vehicles.

Machine Learning 57

Machine Learning Data Science Statistics Deep Learning 57

Smart Data Collective

FEBRUARY 2, 2021

Also, thanks to Big Data, recruitment is now more accurate. Keep in mind that recruitment agencies have to deal with huge volumes of unstructured data, and analyzing all this data by traditional means is not only slow, but also ineffective. The post What Are the Industries That Benefit Most from Big Data?

Big Data 83

Big Data Recreation/Entertainment Cost-Benefit Finance 83

Hurwitz & Associates

JULY 10, 2018

Most organizations today have built and are using data management infrastructures which were often built on data warehouses used to collect and analyze data. Many have evolved to be more compatible with the influx of unstructured data fed by the web and other sources.

IoT 40

IoT Management Unstructured Data Internet of Things 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

MARCH 10, 2023

Since the deluge of big data over a decade ago, many organizations have learned to build applications to process and analyze petabytes of data. Data lakes have served as a central repository to store structured and unstructured data at any scale and in various formats.

Data Lake 100

Data Lake Sales Data Warehouse Snapshot 100

CIO Business Intelligence

JULY 14, 2023

That creates a vector index for the data source—whether that’s documents in an on-premises file share or a SQL cloud database—and an API endpoint to consume in your application. Panasonic is using this with both structured and unstructured data to power the ConnectAI assistant.

Modeling 98

Modeling Machine Learning Cost-Benefit B2B 98

FineReport

APRIL 26, 2023

Market Insight : Analyzing big data can help businesses understand market demand and customer behavior. For example, a computer manufacturing company could develop new models or add features to products that are in high demand. E-commerce giants like Alibaba and Amazon extensively use big data to understand the market.

Big Data 52

Big Data Data Analytics Analytics Cost-Benefit 52

CIO Business Intelligence

NOVEMBER 25, 2022

As part of that transformation, Agusti has plans to integrate a data lake into the company’s data architecture and expects two AI proofs of concept (POCs) to be ready to move into production within the quarter. Today, we backflush our data lake through our data warehouse.

Data Lake 128

Data Lake Data Warehouse Unstructured Data Data Architecture 128

CDW Research Hub

AUGUST 17, 2020

If you need scalable storage units for unstructured data, this is where object storage wins. Object storage manages data as objects rather than the hierarchical system that we know as file storage. Examples of object storage are large sets of historical data, and unstructured data such as music, images and video.

Unstructured Data 97

Unstructured Data Metadata Manufacturing Enterprise 97

IBM Big Data Hub

SEPTEMBER 13, 2023

For example, when a customer contacts the business via chat, email or social media, that text or voice recording is unstructured data that needs to be collected and analyzed as part of the interaction. Dublin-based Glen Dimplex has sales, manufacturing and distribution facilities around the world.

Digital Transformation 95

Digital Transformation Consulting Unstructured Data Recreation/Entertainment 95

Ontotext

MAY 22, 2023

The rich semantics built into our knowledge graph allow you to gain new insights, detect patterns and identify relationships that other data management techniques can’t deliver. Plus, because knowledge graphs can combine data from various sources, including structured and unstructured data, you get a more holistic view of the data.

Management 59

Management Unstructured Data Metadata Cost-Benefit 59

CIO Business Intelligence

JUNE 14, 2023

Leveraging an open-source solution like Apache Ozone, which is specifically designed to handle exabyte-scale data by distributing metadata throughout the entire system, not only facilitates scalability in data management but also ensures resilience and availability at scale. Evaluate data across the full lifecycle.

Unstructured Data 64

Unstructured Data IT Manufacturing Visualization 64

Jet Global

JUNE 18, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 75

Big Data Software Data Analytics Analytics 75

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

IBM Big Data Hub

SEPTEMBER 7, 2023

And just as granite is a strong, multipurpose material with many uses in construction and manufacturing, so we at IBM believe these Granite models will deliver enduring value to your business. Collectively named “Granite,” these multi-size foundation models apply generative AI to both language and code.

Modeling 104

Modeling Risk Unstructured Data Enterprise 104

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 58

Modeling Cost-Benefit Data Lake Machine Learning 58

Jet Global

OCTOBER 3, 2019

Over the past few years, we’ve already seen transformation on a massive scale thanks to how businesses are harnessing and utilizing the new wealth of data available to them. Big Business Needs Big Data. The impact of data on business success doesn’t simply lie in the ability of businesses to collect the data itself.

Big Data 53

Big Data Software Data Analytics Analytics 53

O'Reilly on Data

SEPTEMBER 19, 2023

While data scientists were no longer handling Hadoop-sized workloads, they were trying to build predictive models on a different kind of “large” dataset: so-called “unstructured data.” ” (I prefer to call that “ soft numbers ,” but that’s another story.) The mess is far from over.

Machine Learning 255

Machine Learning Modeling Testing Cost-Benefit 255

CIO Business Intelligence

JUNE 22, 2022

This is critical for the manufacturing, transportation, and oil and gas industries, where a network needs to connect multiple physical locations, with services requiring assured network bandwidth and latency. Huawei OptiXsense: Accelerating Pipeline Inspection.

Digital Transformation 105

Digital Transformation Internet of Things Manufacturing Unstructured Data 105