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 The market for financial analytics was worth $8.2 We will talk about some of the biggest ways that big data is changing the future of risk management among hedge funds.

ROI 97

ROI Data Analytics Analytics Risk Management 97

CIO Business Intelligence

FEBRUARY 20, 2025

The new requirements will include creative and analytical thinking, technical skills, a willingness to engage in lifelong learning and self-efficacy. HR managers need to think strategically about what their companys needs will be in the future and use this to develop requirement profiles for personnel planning.

Big Data 84

Big Data Measurement Visualization Machine Learning 84

Smart Data Collective

JUNE 23, 2022

In light of this, industry experts are using analytics to streamline production and minimize waste to address these challenges. Here’s an in-depth look into analytics and its role in the automotive sector. Each aspect of the automotive workflow has its respective form of analytics. Risk Management.

Analytics 132

Analytics Manufacturing Internet of Things Advertising 132

CIO Business Intelligence

JANUARY 21, 2025

As a secondary measure, we are now evaluating a few deepfake detection tools that can be integrated into our business productivity apps, in particular for Zoom or Teams, to continuously detect deepfakes. Perhaps one of the most anticipated applications of AI in cybersecurity is in the realm of behavioral analytics and predictive analysis.

Behavioral Analytics 122

Behavioral Analytics Data-driven Risk Insurance 122

Smart Data Collective

JUNE 24, 2021

Data analytics has dramatically upended our lives. One of the biggest implications of data analytics technology in the 21st Century is that it has led to a number of new cybersecurity solutions. More cybersecurity professionals are employing it as they discover the importance of data analytics in stopping cyberattacks.

Data Analytics 122

Data Analytics Analytics Internet of Things Measurement 122

CIO Business Intelligence

MARCH 19, 2025

The time has come for data leaders to move beyond traditional governance and analytics sustainability is the next frontier for CDOs, and the opportunity to lead is now. Most data management conferences and forums focus on AI, governance and security, with little emphasis on ESG-related data strategies.

IT 59

IT Data Governance Data-driven Metrics 59

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

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

Risk Management 52

Risk Management Risk Management Metadata 52

O'Reilly on Data

NOVEMBER 13, 2018

Fortunately, a recent survey paper from Stanford— A Critical Review of Fair Machine Learning —simplifies these criteria and groups them into the following types of measures: Anti-classification means the omission of protected attributes and their proxies from the model or classifier. Alon Kaufman on “Machine learning on encrypted data”.

Machine Learning 277

Machine Learning Risk Management Statistics 277

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

datapine

FEBRUARY 22, 2022

In response to this increasing need for data analytics, business intelligence software has flooded the market. This includes defining the main stakeholders, assessing the situation, defining the goals, and finding the KPIs that will measure your efforts to achieve these goals. Clean data in, clean analytics out. Clean the data.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Dashboards 218

CIO Business Intelligence

JANUARY 6, 2025

These regulations mandate strong risk management and incident response frameworks to safeguard financial operations against escalating technological threats. DORA mandates explicit compliance measures, including resilience testing, incident reporting, and third-party risk management, with non-compliance resulting in severe penalties.

Risk Management 52

Risk Management Risk Insurance Reporting 52

CIO Business Intelligence

APRIL 12, 2022

Specifically, they’re looking at these areas: Centralized supply chain planning Advanced analytics Reskilling the labor force for digital planning and monitoring In the never-ending hunt for maximum efficiency and cost savings, supply chain digitization correlates closely with smart manufacturing processes. Democratization of data.

IoT 105

IoT Analytics Manufacturing Internet of Things 105

CIO Business Intelligence

JUNE 23, 2023

It allows organizations to reap the benefits of the highly secure mainframe and the analytics and artificial intelligence capabilities that the cloud offers. Risk Management: Risk management is a critical focus for technology professionals. Ranked lower on the list are fewer workflows and labor productivity.

IT 98

IT Risk Management Risk Optimization 98

Smart Data Collective

JULY 4, 2021

What Machine Learning Means to Asset Managers. On the finance side of businesses, asset management firms are utilizing machine learning with computerized maintenance management systems (CMMS) and data analytics to manage digital assets. Risk Management. For Non-Tech Users.

Machine Learning 143

Machine Learning Management B2B Unstructured Data 143

CIO Business Intelligence

JUNE 21, 2022

“Your governance structure should be dynamic and [designed to] identify triggers that may evoke a revision, and its effectiveness should be constantly measured so that it remains relevant.”. Poor risk planning. CIOs frequently launch strategic initiatives without fully considering all the risks involved.

IT 116

IT Risk Measurement Risk Management 116

Smart Data Collective

SEPTEMBER 28, 2021

The following elucidates the same: l Improved Protective Measures. There are IoT solutions that can assist them in collecting data and performing analytics for inventory management. l Improved Risk Management. AI and IoT, when combined, are incredibly powerful technological forces.

IoT 145

IoT Internet of Things Cost-Benefit Consulting 145

CIO Business Intelligence

JUNE 18, 2024

While compliance frameworks provide guidelines for protecting sensitive data and mitigating risks, security measures must adapt to evolving threats. Security, on the other hand, encompasses the broader spectrum of protective measures implemented to defend against malicious activities, data breaches, and cyberattacks.

Risk 105

Risk Measurement Risk Management Management 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. Database cluster – For this solution, we use an Amazon Aurora MySQL-Compatible Edition 8.0 version cluster.

Data Warehouse 132

Data Warehouse Dashboards Risk Management Risk 132

CIO Business Intelligence

SEPTEMBER 24, 2024

Chief data and analytics officers need to reinvent themselves in the age of AI or risk their responsibilities being assimilated by their organizations’ IT teams, according to a new Gartner report. With AI, the focus has shifted dramatically to activating data through analytics to drive business value,” he says.

Data Governance 115

Data Governance Risk Management Risk Data Quality 115

erwin

MARCH 25, 2021

Usually we talk about benefits which are rather qualitative measures, but what we need for decision-making processes are values,” Pörschmann says. “We According to IDC, professionals who work with data spend 80 percent of their time looking for and preparing data and only 20 percent of their time on analytics.

Data Governance 109

Data Governance Cost-Benefit IT Risk 109

Octopai

JULY 9, 2020

As a core principle of data management, all BI & Analytics teams engage with data lineage at some point to be able to visualize and understand how the data they process moves around throughout the various systems that make up their data environment. A key piece of legislation that emerged from that crisis was BCBS-239.

Insurance 98

Insurance Risk Management Machine Learning Metadata 98

Cloudera

JUNE 29, 2023

To ensure the stability of the US financial system, the implementation of advanced liquidity risk models and stress testing using (MI/AI) could potentially serve as a protective measure. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 85

Data Architecture Risk Management Risk Management 85

AWS Big Data

JANUARY 31, 2024

Transaction cost analysis (TCA) is widely used by traders, portfolio managers, and brokers for pre-trade and post-trade analysis, and helps them measure and optimize transaction costs and the effectiveness of their trading strategies. In the Analytics engine section, select Apache Spark.

Marketing 97

Marketing Analytics Visualization Strategy 97

Smart Data Collective

OCTOBER 26, 2023

As a result, businesses across many industries have been spending increasingly large sums on security technology and services, driving demand for trained specialists fluent in the latest preventative measures. After evaluating potential risks, cybersecurity professionals implement various preventative actions.

Technology 123

Technology Risk Measurement Data-driven 123

CIO Business Intelligence

MAY 14, 2024

Cybersecurity Guardians : Honoring CIOs who have demonstrated excellence in cybersecurity and risk management, safeguarding their organizations against cyber threats and ensuring the security of digital assets.

Digital Transformation 98

Digital Transformation Business Objectives Risk Management Technology 98

CIO Business Intelligence

APRIL 29, 2022

Mandatory participants should include people from data science and analytics, data management, and information security, as well as key line-of-business (LOB) functions. The CDO’s job is to encourage the development of better data-first processes and formally adopt analytics and other tools across the organization.

Digital Transformation 132

Digital Transformation Data-driven Strategy Data Strategy 132

Cloudera

AUGUST 21, 2021

Working towards delivering a strong customer experience and shortening time to market, the organization sought to create a centralized repository of high-quality data which could also allow them to stream and conduct real-time data analytics to rapidly derive actionable insights. . The need for speed.

Data-driven 103

Data-driven Digital Transformation Risk Risk Management 103

Cloudera

FEBRUARY 15, 2024

From stringent data protection measures to complex risk management protocols, institutions must not only adapt to regulatory shifts but also proactively anticipate emerging requirements, as well as predict negative outcomes. This results in enhanced efficiency in compliance processes.

Insurance 88

Insurance Data Architecture Risk Management Risk 88

Decision Management Solutions

APRIL 23, 2019

Predictive analytics can make a significant impact in this process, helping to ensure that carriers accept and price policies to properly balance the medical or financial risk against the value of the premiums. The use of predictive analytics in the underwriting decision increases the efficiency and consistency of risk evaluation.

Insurance 69

Insurance Risk Technology Management 69

datapine

MARCH 31, 2022

Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. With analytical and business intelligence competencies, you can also choose to work with specific types of firms or companies operating within a particular niche or industry. billion by the end of 2021.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

FineReport

AUGUST 13, 2021

Insurance companies provide risk management in the form of insurance contracts. Industry-specific, comprehensive, and reliable data management and presentation have become an issue of increasing concern in the insurance industry. An insurance KPI dashboard is to measure the performance and efficiency of insurance agents.

Insurance 52

Insurance Dashboards KPI Analytics 52

CIO Business Intelligence

MAY 18, 2022

That requires enterprise architects to work more closely with risk management and security staff to understand dependencies among the components in the architecture to better understand the likelihood and severity of disruptions and formulate plans to cope with them.

Enterprise 122

Enterprise Measurement Data-driven Software 122

CIO Business Intelligence

JUNE 8, 2023

Relevant skills for the role include a technical background in IT and a strong working knowledge of IT infrastructure, databases, networks, hardware, and software, along with knowledge of data analytics, change management, vendor management, and leadership and team management skills.

IT 140

IT Digital Transformation Software Risk 140

CIO Business Intelligence

APRIL 27, 2023

For technologists with the right skills and expertise, the demand for talent remains and businesses continue to invest in technical skills such as data analytics, security, and cloud. They’re required to work closely with upper management, executives, and key stakeholders to identify business needs and requirements. as of January.

IT 116

IT Software Risk Management 116

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

CIO Business Intelligence

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. Business systems analyst.

Finance 98

Finance IT Software Reporting 98