Analytics Vidhya

AUGUST 31, 2022

Introduction A data lake is a central data repository that allows us to store all of our structured and unstructured data on a large scale. You may run different types of analytics, from dashboards and visualizations to big data processing, real-time analytics, and machine […].

Data Lake 271

Data Lake Unstructured Data Big Data Dashboards 271

Smart Data Collective

MAY 15, 2019

Big data has created both positive and negative impacts on digital technology. On the one hand, big data technology has made it easier for companies to serve their customers. Big data has created a number of security risks for Bluetooth users. Bluetooth Security Risks in the Age of Big Data.

Big Data 106

Big Data Risk Measurement Data mining 106

IBM Big Data Hub

OCTOBER 9, 2023

Even if it adheres to a lot of regulatory practices, for the 13th year in a row, the healthcare industry reported the most expensive data breaches, at an average cost of USD 10.93 Medical Device Risk Management is prioritizing patient safety through rigorous methodology and risk control.

Risk Management 76

Risk Management Risk Management Measurement 76

IBM Big Data Hub

APRIL 25, 2023

Environmental, Social, and Governance (ESG) risk management has emerged as a critical aspect of business strategy for companies worldwide. Focusing on ESG Risk Management can help your organization become more profitable, and your organization can start on this journey today.

Risk Management 78

Risk Management Risk Management Metrics 78

Smart Data Collective

SEPTEMBER 24, 2019

Big data is changing the world in a number of ways. Companies rely on data to deliver efficient services, but they also have to worry about cybersecurity risks. Towards Data Science provided a very detailed guide on the relevance of machine learning to hackers. Not Backing Up Data. Vulnerable Passwords.

Big Data 98

Big Data Risk Machine Learning Data-driven 98

Smart Data Collective

OCTOBER 14, 2019

Advances in mass storage and mobile computing brought about the phenomenon we now know as “big data.” That is how “big” the need for big data analytics came to be. More specifically, big data analytics offers users the ability to generate relevant insights from heaps of data.

Big Data 89

Big Data Data Analytics Analytics Unstructured Data 89

John Wheeler

AUGUST 28, 2020

That’s why digital risk management has become so critically important for organizations now. How can you gain a better understanding and visibility of digital risk across your business? The only way is through an integrated risk management (IRM) approach using digital risk management technology.

Risk 117

Risk Risk Management Internet of Things IoT 117

IBM Big Data Hub

MAY 4, 2020

But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services.

Risk Management 81

Risk Management Risk Modeling Management 81

TDAN

APRIL 6, 2021

There is an ever-increasing awareness of concerns about data privacy, corporate data breaches, increasing demands for regulatory compliance. There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making.

Risk Management 64

Risk Management Risk Management Big Data 64

IBM Big Data Hub

JANUARY 28, 2020

Any financial services firm using AI must revisit its approach to model risk management. Watson OpenScale helps organizations validate and monitor AI models to enhance compliance with regulations, provide fair and explainable outcomes, and mitigate business risk. To date, Watson OpenScale has focused on AI models in production.

Risk 80

Risk Modeling Big Data Management 80

Smart Data Collective

DECEMBER 9, 2021

It’s no secret that big data technology has transformed almost every aspect of our lives — and that’s especially true in business, which has become more tech-driven and sophisticated than ever. A number of new trends in big data are affecting the direction of the accounting sector. billion last year.

Technology 133

Technology Big Data Machine Learning Deep Learning 133

John Wheeler

DECEMBER 18, 2018

Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks.

Digital Transformation 96

Digital Transformation Risk Management Internet of Things Risk 96

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Smart Data Collective

JULY 16, 2023

Big data is the most important business trend of the 21st century. The usage, volume, and types of data have increased significantly. In fact, big data keeps gaining momentum. We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well.

ROI 97

ROI Data Analytics Analytics Risk Management 97

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. You will want to use big data to improve this approach. Average Transaction Value.

Data-driven 131

Data-driven Metrics Big Data Sales 131

Smart Data Collective

APRIL 22, 2020

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development.

Data-driven 115

Data-driven Software Big Data Testing 115

Smart Data Collective

OCTOBER 26, 2019

Having cost-effective off-site backup allows companies to focus more on their methodology for backing up data than the price of that method. Closer sites for data storage mean lower cost, but a higher risk to the company. Big Data Storage Concerns. Further sites may be less cost-effective but more secure.

Big Data 67

Big Data Data Lake Cost-Benefit Measurement 67

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The twenty-first century offers a lot of exciting innovations when it comes to data processing and analytics.

Insurance 110

Insurance Data Analytics Analytics Big Data 110

Smart Data Collective

AUGUST 19, 2023

This is the risk of a debt default caused by a borrower’s failure to make due payments. Diversification, on the other hand, is a valuable instrument that may assist limit this risk. Big data technology is making these processes easier than ever. The World Bank Blog has an entire post dedicated to this topic.

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Risk Data Analytics Analytics Finance 98

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses. Model Validation – Prior to the use of a model (i.e.,

Risk 111

Risk Modeling IT Risk Management 111

IBM Big Data Hub

MARCH 3, 2020

However, AI models introduce new risks. Many financial institutions are rapidly developing and adopting AI models. They’re using the models to achieve new competitive advantages such as being able to make faster and more successful underwriting decisions.

Risk Management 68

Risk Management Risk Modeling Management 68

CIO Business Intelligence

SEPTEMBER 10, 2024

In 2015, we attempted to introduce the concept of big data and its potential applications for the oil and gas industry. We envisioned harnessing this data through predictive models to gain valuable insights into various aspects of the industry. Risk management is essential, but it shouldn’t stifle innovation.

IT 122

IT Risk Risk Management Predictive Modeling 122

CIO Business Intelligence

DECEMBER 4, 2022

Process – Developing, communicating and enforcing cybersecurity policy with alignments to enterprise risk management prioritisation and remediation. Technology – Leveraging telemetry data integration and machine learning to gain full cyber risk visibility for action.

Risk Management 104

Risk Management Risk Machine Learning Strategy 104

Smart Data Collective

OCTOBER 28, 2020

Archiving may not always be the right choice for an organization, and when to archive data is a decision that needs to be made on a case-by-case basis, and is often a matter of organizational culture. Big Data, Big Costs.

Cost-Benefit 137

Cost-Benefit Risk Metadata Big Data 137

Cloudera

JANUARY 22, 2019

In conjunction with the evolving data ecosystem are demands by business for reliable, trustworthy, up-to-date data to enable real-time actionable insights. Big Data Fabric has emerged in response to modern data ecosystem challenges facing today’s enterprises. What is Big Data Fabric? Data access.

Big Data 44

Big Data Data Lake Internet of Things Enterprise 44

erwin

AUGUST 20, 2020

An enterprise architecture management suite enables organizations to inventory their applications to identify redundancies and process gaps and formulate a cohesive plan for rationalization and/or modernization. Data Security & Risk Management. Big Data Adoption. Regulatory Compliance.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

Smart Data Collective

OCTOBER 13, 2021

Data analytics enables you to observe consumer patterns to acquire and retain customers by understanding their behavior and delivering what they want. Big data also helps you identify potential business risks and offers effective risk management solutions.

Technology 133

Technology Cost-Benefit Experimentation Machine Learning 133

Smart Data Collective

OCTOBER 21, 2021

The rising number of data breaches has created a strong demand for data security professionals. The unfortunate truth is that we need more big data professionals than ever. The shortage of data-savvy security experts is actually holding the United States and other countries back.

Testing 141

Testing Big Data Risk Management Risk 141

Cloudera

AUGUST 12, 2021

By using Cloudera’s big data platform to harness IoT data in real-time to drive predictive maintenance and improve operational efficiency, the company has realized about US$25 million annually in new profit resulting from better efficiency of working sites. . Risk Management. Conclusion.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

Smart Data Collective

DECEMBER 15, 2020

Big data has had a tremendous impact on the financial industry. One of the biggest financial applications of new data technology involves stock trading. How Can Data Analytics Assist with Stock Trading. Thy have to take advantage of the latest big data technology to have a competitive edge in this convoluted market.

Data Analytics 85

Data Analytics Analytics Big Data Machine Learning 85

CIO Business Intelligence

APRIL 17, 2023

Challenges for fraud risk management Fraud is a big and a worthwhile business for today’s online criminals, who troll the internet and insert data-stealing malware into vulnerable sites and mobile apps. These are just some of the advanced technologies TCS deploys and customizes for financial clients,” Trikha says.

Digital Transformation 105

Digital Transformation Risk Management Risk Consulting 105

AWS Big Data

MARCH 8, 2024

In-stream anomaly detection helps you save on indexing and avoids the need for extensive resources to handle big data. It lets organizations apply the appropriate resources at the appropriate time, managing large data efficiently and saving money. Leave any thoughts and questions in the comments.

Data Processing 119

Data Processing Risk Management Machine Learning Big Data 119

CIO Business Intelligence

APRIL 28, 2022

Its success is one of many instances illustrating how the financial services industry is quickly recognizing the benefits of data analytics and what it can offer, especially in terms of risk management automation, customized experiences, and personalization. . compounded annual growth from 2019 to 2024. .

Analytics 98

Analytics Insurance Big Data Uncertainty 98

AWS Big Data

FEBRUARY 1, 2024

Amazon Redshift features like streaming ingestion, Amazon Aurora zero-ETL integration , and data sharing with AWS Data Exchange enable near-real-time processing for trade reporting, risk management, and trade optimization. The query to generate this chart has similar performance metrics as the preceding chart.

Data Warehouse 134

Data Warehouse Dashboards Risk Management Risk 134

erwin

OCTOBER 24, 2019

Untapped data, if mined, represents tremendous potential for your organization. While there has been a lot of talk about big data over the years, the real hero in unlocking the value of enterprise data is metadata , or the data about the data. With erwin, organizations can: 1.

Metadata 104

Metadata Management Data-driven Data Architecture 104

IBM Big Data Hub

OCTOBER 4, 2022

Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. ( Risk Management: Manage risk and compliance to business standards, through automated facts and workflow management. IBM Global AI Adoption Index 2022.).

Metadata 97

Metadata Risk Management Risk Experimentation 97

erwin

OCTOBER 31, 2019

While sometimes at rest in databases, data lakes and data warehouses; a large percentage is federated and integrated across the enterprise, introducing governance, manageability and risk issues that must be managed.

Data Governance 105

Data Governance Metadata Risk Data Lake 105