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. Conduct ESG assessments.

Risk Management 78

Risk Management Risk Management Metrics 78

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

Smart Data Collective

MARCH 27, 2023

Our lives are being affected by big data more than ever. Therefore, it should be no surprise that the big data analytics market is projected to be worth $655 billion by 2027. However, the rise of big data has also led to greater security risks. Sadly, the proliferation of big data comes at a cost.

Big Data 119

Big Data Risk Risk Management Finance 119

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.

Risk 111

Risk Modeling IT Risk Management 111

Smart Data Collective

SEPTEMBER 13, 2022

Big data technology has led to some major changes in the banking sector. One of the biggest benefits of big data has been the development of ACH payment processing. Big Data Leads to Great Opportunities for Businesses Relying on ACH Transactions. Big Data Makes ACH Transactions Ideal for Small Businesses.

Big Data 109

Big Data Cost-Benefit Risk Management Data-driven 109

Smart Data Collective

AUGUST 19, 2023

One of the ways people are benefiting from data analytics is by improving credit score monitoring. Risk is an ever-present companion in the world of finance. Understanding and managing risk is critical whether you are an individual investor , a financial institution, or a multinational organization.

Risk 98

Risk Data Analytics Analytics Finance 98

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

FEBRUARY 2, 2021

Big Data is more than a trend or a buzzword. In 2020, the size of the global Big Data market reached 56 billion, and it’s on track to exceed 103 billion by 2027. Consumers are generating huge amounts of data at a rapid rate, and it is estimated that up to 90% of all data was generated only in the past two years.

Big Data 106

Big Data Recreation/Entertainment Cost-Benefit Finance 106

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 everyone knows about the risks of cyber-attacks.

Big Data 98

Big Data Risk Machine Learning Data-driven 98

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

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

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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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

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 88

Big Data Data Analytics Analytics Unstructured Data 88

IBM Big Data Hub

OCTOBER 23, 2023

1] Managing complex business operations across a hybrid multicloud environment presents leaders with unique challenges, not least of which are cyberthreats that can bring essential business functions to a halt—potentially for days, weeks or months. The global average cost of a single data breach is USD 4.45

Risk 84

Risk Strategy Risk Management Digital Transformation 84

Cloudera

MARCH 28, 2019

The threat posed by new market entrants, unconstrained by the legacy IT systems of big banks, is as obvious as their appeal to a generation of digital natives. They also fail to model the effects of fear and the risk of contagion. Risk management 3.0. Watch this video to see a simulation for mortgage analytics.

Risk 74

Risk Management Risk Management Machine Learning 74

IBM Big Data Hub

MARCH 3, 2020

However, AI models introduce new risks. 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

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

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

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

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

IBM Big Data Hub

DECEMBER 8, 2023

.” This same sentiment can be true when it comes to a successful risk mitigation plan. The only way for effective risk reduction is for an organization to use a step-by-step risk mitigation strategy to sort and manage risk, ensuring the organization has a business continuity plan in place for unexpected events.

Risk 67

Risk Strategy Risk Management Insurance 67

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 114

Data-driven Software Big Data Testing 114

erwin

AUGUST 20, 2020

Through effective EA, organizations are better able to identify risks and opportunities, address redundancies and process gaps, and create roadmaps to bridge the gap between the current and desired future state of an organization. Reduced risks and costs. A greater ability to anticipate and manage change. Big Data Adoption.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

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

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

That’s a problem since old software quickly becomes a security risk. 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

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

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

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

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. So being prepared means you can minimize your risk exposure and the damage to your reputation.

Data Governance 105

Data Governance Metadata Risk Data Lake 105

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

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

IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It includes processes that trace and document the origin of data, models and associated metadata and pipelines for audits.

Risk 70

Risk Modeling Management Metadata 70

erwin

APRIL 2, 2021

With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance. Is it sensitive data or are there any risks associated with it?

Data Governance 106

Data Governance Cost-Benefit Metadata Risk 106

Smart Data Collective

SEPTEMBER 28, 2021

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. There are IoT solutions that can assist them in collecting data and performing analytics for inventory management.

IoT 145

IoT Internet of Things Cost-Benefit Consulting 145

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Furthermore, 59% of executives claim AI can improve the use of big data in their organizations, facts about artificial intelligence show. (

Metadata 97

Metadata Risk Management Risk Experimentation 97