Smart Data Collective

AUGUST 11, 2022

Fortunately, AI eliminates the human factor, therefore significantly improving data quality. Although the primary goal of AI is to enhance data quality, not all data collected is of high quality. However, Ai uses algorithms that can screen and handle large data sets. Faster and Better Learning. Conclusion.

Data Quality 129

Data Quality Machine Learning Digital Transformation Big Data 129

CIO Business Intelligence

JULY 20, 2023

By putting algorithms to work on big data collected from diverse sources, retailers can intelligently predict what customers will buy and in which order. As customers look for more engaging ways to shop, digital, experiential, and immersive environments will become imperative for retailers to adopt.

Technology 74

Technology Forecasting Advertising Machine Learning 74

CIO Business Intelligence

MAY 16, 2023

Big Data collection at scale is increasing across industries, presenting opportunities for companies to develop AI models and leverage insights from that data. Regulation: Lawmakers worldwide are considering privacy legislation and other rules that could limit the scope of data collection and AI use cases.

Advertising 94

Advertising Recreation/Entertainment Experimentation Enterprise 94

IBM Big Data Hub

JANUARY 15, 2024

In 2024, the ongoing process of digitalization further enhances the efficiency of government programs and the effectiveness of policies, as detailed in a previous white paper. Two critical elements driving this digital transformation are data and artificial intelligence (AI).

Machine Learning 69

Machine Learning Digital Transformation Modeling Data Collection 69

IBM Big Data Hub

SEPTEMBER 20, 2023

What if AI’s ability to access, organize and leverage data could create new possibilities for improving government offerings, even those already available online, by unlocking data across agencies to deliver information and services more intuitively and proactively?

Cost-Benefit 110

Cost-Benefit Digital Transformation Technology Modeling 110

erwin

JUNE 11, 2020

Businesses, small and big, will be employing real-time data analytics and data-driven products and services as it will be what consumers will demand from businesses going forward. Expanding big data. More businesses employing data intelligence will be incorporating blockchain to support its processes.

Key Performance Indicator 103

Key Performance Indicator KPI Data-driven Machine Learning 103

Smart Data Collective

MARCH 2, 2022

One area of enterprise digital transformation that can be solved with no-code is customer data collection, such as forms and paperwork in insurance and banking. The market for these platforms is growing quickly and there are lots of good options available at different price points.

Data Science 111

Data Science Enterprise Insurance Digital Transformation 111

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 88

Cost-Benefit Insurance Unstructured Data Machine Learning 88

IBM Big Data Hub

SEPTEMBER 26, 2022

In B2B or B2C circles, a 360-degree view of customers or citizens offers a holistic, comprehensive picture of a person based on data collected from all touch points. The post Creating a holistic 360-degree “citizen” view with data and AI appeared first on Journey to AI Blog.

B2B 52

B2B Visualization Data-driven Cost-Benefit 52

BizAcuity

MARCH 1, 2019

and constantly report this data to backend. At the backend, based on the data collected, data is stored in data lakes. Such data is collected from hundreds, thousands and millions of users. Then AI/ML algorithms are run on this collected data. IoT produces a treasure trove of big data.

IoT 56

IoT Internet of Things Big Data Data-driven 56

Alation

FEBRUARY 13, 2020

This brief definition makes several points about data catalogs—data management, searching, data inventory, and data evaluation—but all depend on the central capability to provide a collection of metadata. Benefits of a Data Catalog. What Does a Data Catalog Do? Conclusion. Conclusion.

Metadata 64

Metadata Data Lake Recreation/Entertainment Big Data 64

AWS Big Data

MARCH 13, 2024

Data analytics – Business analysts gather operational insights from multiple data sources, including the location data collected from the vehicles. During his professional career, he has been extensively involved in complex digital transformation projects.

Analytics 92

Analytics IoT Metadata Internet of Things 92

Sisense

APRIL 26, 2020

In our modern digital world, proper use of data can play a huge role in a business’s success. Datasets are exploding at an ever-accelerating rate, so collecting and analyzing data to maximum effect is crucial. Understanding data structure is a key to unlocking its value.

Unstructured Data 52

Unstructured Data Data Warehouse Structured Data Data mining 52

CIO Business Intelligence

AUGUST 18, 2023

Digital biomarkers are increasingly playing an important role in improving our understanding of disease and health. MagnolAI has enough scalability to visualize data from different devices, profile them and generate reports of data quality, including the ability to aggregate and synthesize data from across clinical trials,” Carter says.

Measurement 97

Measurement Data Quality Visualization Big Data 97

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 101

Digital Transformation Internet of Things Manufacturing Unstructured Data 101

CIO Business Intelligence

FEBRUARY 6, 2023

SMBs that have undergone digital transformation are already generating data relating to these business operations disciplines. The party has just begun A recent research paper identified big data analytics as a core driver of operational resilience for SMBs.

Business Intelligence 70

Business Intelligence Forecasting Marketing Sales 70

Rocket-Powered Data Science

JULY 6, 2021

The Edge-to-Cloud architectures are responding to the growth of IoT sensors and devices everywhere, whose deployments are boosted by 5G capabilities that are now helping to significantly reduce data-to-action latency.

Machine Learning 279

Machine Learning Data-driven IoT Deep Learning 279

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 78

Manufacturing Technology Internet of Things Cost-Benefit 78

Cloudera

FEBRUARY 4, 2019

Built on 100% open source technology, CDF helps you deliver a better customer experience, boost your operational efficiency and stay ahead of the competition across all your strategic digital initiatives. CDF, as an end-to-end streaming data platform, emerges as a clear solution for managing data from the edge all the way to the enterprise.

IoT 72

IoT Prescriptive Analytics Digital Transformation Internet of Things 72

IBM Big Data Hub

AUGUST 11, 2023

Taking MES software to the next level A manufacturing execution system (MES) is an important means of data collection and an important part of digital transformation for manufacturers. But for a large organization, it’s just one of many sources.

Software 74

Software Manufacturing Cost-Benefit ROI 74

Cloudera

SEPTEMBER 4, 2020

Using the data collected, they are also able to offer services such as vehicle diagnostics, provide roadside assistance, stolen vehicle assistance, and emergency assistance as well. All of the use cases that we see and the primary customer needs within the telco sector can be defined in four key use case buckets.

IoT 92

IoT Machine Learning Optimization Insurance 92

AWS Big Data

NOVEMBER 15, 2023

Furthermore, it fetches essential metadata from BMW Group’s internal system, offering a comprehensive view of the data across various dimensions, such as group, department, product, and applications in the later stages of data transformation. Alex Gutfreund is Head of Product and Technology Integration at the BMW Group.

Dashboards 93

Dashboards Analytics Metadata Optimization 93

Cloudera

MARCH 18, 2021

There will be an increased volume of data storage required, due to the longer history needed by the ES approach to risk measurement. And there will be expansions on the requirements for managing and monitoring both data lineage and data security. 30x increase in computational requirements. .

Risk 55

Risk Machine Learning Risk Management Measurement 55

IBM Big Data Hub

JUNE 29, 2023

Manufacturing has undergone a major digital transformation in the last few years, with technological advancements, evolving consumer demands and the COVID-19 pandemic serving as major catalysts for change. Here, we’ll discuss the major manufacturing trends that will change the industry in the coming year. Industry 4.0

Manufacturing 60

Manufacturing Internet of Things Cost-Benefit Digital Transformation 60

Domino Data Lab

MARCH 3, 2019

Then, when we received 11,400 responses, the next step became obvious to a duo of data scientists on the receiving end of that data collection. Over the past six months, Ben Lorica and I have conducted three surveys about “ABC” (AI, Big Data, Cloud) adoption in enterprise.

Data Science 49

Data Science Deep Learning Machine Learning Modeling 49

Rocket-Powered Data Science

MARCH 20, 2023

We live in a data-rich, insights-rich, and content-rich world. Data collections are the ones and zeroes that encode the actionable insights (patterns, trends, relationships) that we seek to extract from our data through machine learning and data science.

Data Warehouse 324

Data Warehouse Metadata Digital Transformation Unstructured Data 324

Sisense

JULY 23, 2021

Since 2000, the International Olympic Committee (IOC) has developed an increasingly structured approach toward data collection and analysis, as Chris Payne, Associate Director of Information, Knowledge, and Games Learning at the IOC, explains: “I actually like to refer to small data as opposed to big data, in the sense that most of what we want relates (..)

Unstructured Data 105

Unstructured Data Internet of Things Data-driven Data Processing 105

IBM Big Data Hub

MARCH 20, 2024

According to an International Data Corporation (IDC) report (link resides outside ibm.com), worldwide spending on public cloud provider services will reach $1.35 Here, we explore 10 top business use cases that reveal how a public cloud helps form the foundation for modern business and fuels ongoing digital transformation.

Internet of Things 99

Internet of Things Cost-Benefit Data Processing IoT 99

IBM Big Data Hub

AUGUST 4, 2023

Data democratization, much like the term digital transformation five years ago, has become a popular buzzword throughout organizations, from IT departments to the C-suite. It’s often described as a way to simply increase data access, but the transition is about far more than that.

Data Architecture 64

Data Architecture Data Lake Machine Learning Data Governance 64

Sisense

MAY 18, 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 98

Analytics Digital Transformation Data-driven Sales 98