Smart Data Collective

JUNE 19, 2022

Companies are using AI to better understand their customers, recognize ways to manage finances more efficiently and tackle other issues. AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively. How AI Can Help Suppliers Manage Risks Better.

Risk 133

Risk Cost-Benefit Risk Management Manufacturing 133

Smart Data Collective

JANUARY 25, 2023

Analytics technology is changing the state of many different industries. billion on analytics technology by 2027. While a growing number of construction companies are starting to appreciate the importance of analytics technology, some are still unaware of the benefits. The construction sector is no exception.

Management 92

Management Analytics Cost-Benefit Analytics Technologies 92

Teradata

APRIL 26, 2022

Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks.

Risk 97

Risk Risk Management Management Analytics 97

IBM Big Data Hub

AUGUST 1, 2023

In this day and age, it’s critical that organizations know about and manage all apps installed on their endpoints. Using multiple platforms to discover apps and manage laptops and mobile devices negatively impacts the IT and security team’s efficiency and productivity in continuous application patching.

Risk 56

Risk Management Machine Learning IoT 56

Smart Data Collective

JULY 9, 2021

Data analytics technology is very important in assessing the performance of staffing services. Companies can use data analytics to improve their hiring processes. What Are the Benefits of Data Analytics in Staffing? It has been shown that big data can minimize employment risks during the hiring process.

Data Analytics 128

Data Analytics Management Analytics Big Data 128

datapine

OCTOBER 11, 2023

3) Top 15 Warehouse KPIs Examples 4) Warehouse KPI Dashboard Template The use of big data and analytics technologies has become increasingly popular across industries. Keep on reading to learn a definition, benefits, and a warehouse KPI list with the most prominent examples any manager should be tracking to achieve operational success.

Metrics 217

Metrics KPI Management Cost-Benefit 217

Sisense

JANUARY 7, 2022

As businesses adapt to the pandemic and shift to new norms, risk mitigation strategies have become as normal and ubiquitous as having a fire escape in the office. Smarter, AI-driven learning and development initiatives will help mitigate risk in our rapidly evolving world. Minimising risk by ‘infusing’ AI.

Risk Management 52

Risk Management Risk Management Dashboards 52

CIO Business Intelligence

JUNE 7, 2022

What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. What are the four types of data analytics?

Data Analytics 135

Data Analytics Diagnostic Analytics Management Analytics 135

Smart Data Collective

JUNE 19, 2019

As such, you should concentrate your efforts in positioning your organization to mine the data and use it for predictive analytics and proper planning. The Relationship between Big Data and Risk Management. Tips for Improving Risk Management When Handling Big Data. Vendor Risk Management (VRM).

Risk Management 70

Risk Management Risk Management Big Data 70

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform.

Risk 87

Risk Marketing Technology Management 87

CIO Business Intelligence

OCTOBER 20, 2023

Cloud-based analytics, generative AI, predictive analytics, and more innovative technologies will fall flat if not run on real-time, representative data sets. How does a company approach data integration and management when in the throes of an M&A?

Data Integration 129

Data Integration Management Testing Cost-Benefit 129

AWS Big Data

APRIL 29, 2024

This post explores the deployment of Apache Ranger for permission management within the Hadoop ecosystem on Amazon EKS. We show how Ranger integrates with Hadoop components like Apache Hive, Spark, Trino, Yarn, and HDFS, providing secure and efficient data management in a cloud environment.

Management 100

Management Big Data Metadata Data Warehouse 100

Smart Data Collective

JANUARY 6, 2022

However, the risks of using this authentication option are widely known, as hackers can steal, buy, or guess passwords to compromise networks and access sensitive data. The introduction of passwordless authentication is thought to mitigate these risks. Non-Secure Identity Management. Poor Identity Proofing.

Risk 129

Risk Data-driven Technology Machine Learning 129

TDAN

APRIL 6, 2021

There are also emerging concerns about the ways that big data analytics potentially influence and bias automated decision-making. Individuals are starting to pay attention to organizational vulnerabilities that compound risks associated with managing, protecting, and enabling access […].

Risk Management 64

Risk Management Risk Management Big Data 64

Decision Management Solutions

APRIL 23, 2019

, in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Let’s dive into greater detail on the second lever – Manage Risk Better. Insurers can also manage risk more effectively through continuous improvement.

Insurance 69

Insurance Risk Technology Management 69

IBM Big Data Hub

FEBRUARY 28, 2024

Managed DNS is where a third-party hosts and optimizes your DNS resolution architecture to provide the fastest, most secure, most reliable experience. Perhaps the easiest way to explain it is by looking at the opposite scenario: what if you don’t have a managed DNS service in place?

Management 97

Management Data Processing Data-driven Optimization 97

Smart Data Collective

JUNE 3, 2021

Analytics technology is becoming integral to the field of finance. The market for financial analytics services is projected to be worth over $11 billion within the next five years. Analytics is particularly important for developing strategic financial management policies. It sounds easy but can be very time-consuming.

Management 90

Management Finance Analytics Analytics Technologies 90

IBM Big Data Hub

FEBRUARY 19, 2024

In today’s complex global business environment, effective supply chain management (SCM) is crucial for maintaining a competitive advantage. Here’s how companies are using different strategies to address supply chain management and meet their business goals.

Strategy 84

Strategy Management Forecasting Cost-Benefit 84

bridgei2i

JUNE 2, 2020

Episode 7: The Impact of COVID-19 on Financial Services & Risk. Management. The Impact of COVID-19 on Financial Services & Risk Management. I collaborate with multiple stakeholders across many global companies enabling high impact business transformation strategies, and guiding them in their analytics journey.

Risk Management 128

Risk Management Risk Enterprise Management 128

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

Analytics 112

Analytics Broadcasting Predictive Analytics Metrics 112

Cloudera

MARCH 28, 2019

Simulation for mortgage analytics solution. If we look back a decade at Northern Rock, do you think that we’ve actually learned the lessons from that in terms of our analytics and what we’re doing in financial institutions? They also fail to model the effects of fear and the risk of contagion. Risk management 3.0.

Risk 72

Risk Management Risk Management Machine Learning 72

Domino Data Lab

AUGUST 6, 2021

Model Risk Management is about reducing bad consequences of decisions caused by trusting incorrect or misused model outputs. Systematically enabling model development and production deployment at scale entails use of an Enterprise MLOps platform, which addresses the full lifecycle including Model Risk Management.

Risk Management 64

Risk Management Risk Modeling Enterprise 64

CIO Business Intelligence

OCTOBER 13, 2022

Knowing your risk level as you navigate a large venue can help you avoid crowds and stay safely within your bubble – all of which empowers you to enjoy the experience all the more. Venue organizers can use the app to safeguard employees and visitors through proactive crowd management. So, how does it work?

Risk 97

Risk Broadcasting Recreation/Entertainment Measurement 97

Analytics Vidhya

DECEMBER 4, 2022

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

Modeling 346

Modeling Risk Management Risk Management 346

bridgei2i

NOVEMBER 20, 2020

Episode 2: AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. AI enabled Risk Management for FS powered by BRIDGEi2i Watchtower. Today the Chief Risk Officers(CROs) struggle with the critical task of monitoring and assessing key risks in real time and firefight to mitigate any critical issues that arise.

Risk Management 92

Risk Management Risk Management Metrics 92

AWS Big Data

APRIL 17, 2024

Analytics as a service (AaaS) is a business model that uses the cloud to deliver analytic capabilities on a subscription basis. This model provides organizations with a cost-effective, scalable, and flexible solution for building analytics. Amazon Redshift delivers up to 4.9 times lower cost per user and up to 7.9

Data Warehouse 104

Data Warehouse Analytics Cost-Benefit Modeling 104

Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

Digital Transformation 105

Digital Transformation Risk Strategy Testing 105

CIO Business Intelligence

MAY 13, 2023

And more specifically, how do CIOs, CSOs, and cybersecurity teams learn to deal with technology that may pose serious security and privacy risks? SIEM systems typically use advanced analytics to identify patterns, anomalies, and other indicators of potential threats. Using those actions helps in the remediation process.

Risk 136

Risk Marketing Enterprise Technology 136

bridgei2i

SEPTEMBER 24, 2020

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit. Risk Management Model.

Risk Management 52

Risk Management Risk Enterprise Management 52

Smart Data Collective

JULY 16, 2023

We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well. The market for financial analytics was worth $8.2 According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI.

ROI 71

ROI Data Analytics Analytics Risk Management 71

bridgei2i

APRIL 23, 2020

At least four staff members of (Royal bank of Scotland (RBS) died : the managers of Walton and London Mincing Lane branches, a female clerk at Islington, and a boy clerk at Deptford. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red. Understanding & Managing Risks.

Risk 52

Risk Management Scorecard Forecasting 52

Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

Data-driven 188

Data-driven Enterprise Analytics Machine Learning 188

CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

Risk 145

Risk Consulting Machine Learning Data Science 145

O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

Management 332

Management Machine Learning Experimentation Metrics 332

CIO Business Intelligence

MARCH 24, 2023

It encompasses the people, processes, and technologies required to manage and protect data assets. The Data Management Association (DAMA) International defines it as the “planning, oversight, and control over management of data and the use of data and data-related sources.”

Data Governance 142

Data Governance Management Metadata Data Quality 142

CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Bonds are issued by different entities such as governments, municipalities, and corporations.

Risk 52

Risk Cost-Benefit Unstructured Data Data-driven 52

IBM Big Data Hub

APRIL 9, 2024

This allows the Masters to scale analytics and AI wherever their data resides, through open formats and integration with existing databases and tools. It would be a huge challenge for a human to manage these models, so we use the autoAI feature of watsonx to help us build the right model and pick the best projection.”

Management 82

Management IT Machine Learning Metrics 82