IBM Big Data Hub

MARCH 4, 2024

It’s also crucial to modernize existing applications that interact with AI. An AI+ enterprise mitigates potential harm by implementing robust measures to secure, monitor and explain AI models, as well as monitoring governance, risk and compliance controls across the hybrid cloud environment.

Enterprise 107

Enterprise ROI Risk Strategy 107

IBM Big Data Hub

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. They are used in everything from robotics to tools that reason and interact with humans. Such datasets are measured by how many “tokens” (words or word parts) they include.

Risk 77

Risk Modeling Management Metadata 77

Smart Data Collective

SEPTEMBER 24, 2022

Endpoint security protection measures can also prevent or mitigate many of the worst types of cyberattacks. Unlike the previously mentioned techniques, man-in-the-middle (MITM) attacks do not rely on the user to install malware or interact with a compromised entity. Every year, businesses lose billions of dollars to cyberattacks.

Interactive 116

Interactive Risk Software Measurement 116

CIO Business Intelligence

JUNE 8, 2023

This role helps oversee the development of new systems, working alongside software developers and hardware engineers with an eye on quality control measures and maintaining a steady pace toward established milestone goals. Average salary: US$55,872 Increase since 2021: 6.9%

IT 140

IT Digital Transformation Software Risk 140

Smart Data Collective

AUGUST 6, 2020

Maritime cyber risk refers to a measure of the extent to which a technology asset could be threatened by a potential circumstance or event, which may result in shipping-related operational, safety or security failures as a consequence of information or systems being corrupted, lost or compromised.”. Emphasize Physical Security.

Risk 96

Risk Measurement Strategy Risk Management 96

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. The solution also reduces incident response times, optimizes processes and streamlines asset management.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 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 Software Data-driven 122

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.

Machine Learning 220

Machine Learning Risk Management Statistics 220

datapine

MARCH 31, 2022

For example, if you enjoy computer science, programming, and data but are too extroverted to program all day long, you could work in a more human-oriented area of intelligence for business, perhaps involving more face-to-face interactions than most programmers would encounter on the job. BI Data Scientist.

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

DataRobot Blog

MAY 26, 2022

To start with, SR 11-7 lays out the criticality of model validation in an effective model risk management practice: Model validation is the set of processes and activities intended to verify that models are performing as expected, in line with their design objectives and business uses. Conclusion.

Risk 52

Risk Modeling Metrics Business Objectives 52

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

Smart Data Collective

SEPTEMBER 22, 2021

One bad breach and you are potentially risking your business in the hands of hackers. In this blog post, we discuss the key statistics and prevention measures that can help you better protect your business in 2021. Avoid interacting with suspicious links. But you can come around this. Let’s dive in.

Statistics 108

Statistics Risk Measurement Software 108

CIO Business Intelligence

DECEMBER 21, 2023

In order to comply with the new Standard, the industry will need to adapt its existing security measures to meet the tightened security controls, calling for a comprehensive review and potential overhaul of its cybersecurity infrastructure. 1] That’s a great idea. But what about in-person payments? becomes the only Standard available.

Measurement 52

Measurement Risk Management Risk Management 52

AWS Big Data

APRIL 12, 2023

Helping manage human risk with data-driven insights SANS Security Awareness helps organizations use best-in-class security awareness and training solutions to transform their ability to measure and manage human risk.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Sisense

SEPTEMBER 3, 2020

Besides strong technical skills (for instance, use of Hadoop, programming in R and Python , math, statistics), data scientists should also be able to tackle open-ended questions and undirected research in ways that bring measurable business benefits to their organization. See an example: Explore Dashboard.

Statistics 97

Statistics Metrics Visualization Finance 97

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

bridgei2i

MAY 4, 2020

So the COVID-19 crisis response has hence been centrifugal, and it has varied across countries with respect to infections, control, and lockdown measures. Risk management, of course, is more relevant than ever, monitoring exposure to internal and external signals now. So the focus here is also to protect lives and livelihoods.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

Ontotext

FEBRUARY 26, 2024

Risk management : Understanding the correlation between events and stock price fluctuations helps manage risk. Quality assurance process, covering gold standard creation , extraction quality monitoring, measurement, and reporting via Ontotext Metadata Studio. Let’s have a quick look under the bonnet.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

DataRobot

SEPTEMBER 16, 2021

Exposure is a measure of the unit of risk for an insurance policy. For example, a car-year is a reasonable measure for personal auto insurance, while a home-year could be an exposure for homeowners insurance. Interactions + customer-controlled interactions. Loss cost modeling-related features.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Discuss how the stakeholders want to interact with the machine learning model after it is built. dashes and parentheses in telephone numbers) Inconsistent units of measure (e.g.,

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management.

Risk 92

Risk Marketing Risk Management Data-driven 92

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. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 82

Marketing Analytics Visualization Strategy 82

Cloudera

AUGUST 21, 2021

Compared to just two years ago, more customers are now digitally interacting with their bank. This includes delivering personalized, timely and low friction engagements, all while minimizing risks and reducing costs. . Personalizing the customer experience. this manner, the bank can proactively assist customers and avoid defaults. .

Data-driven 98

Data-driven Digital Transformation Risk Risk Management 98

Corinium

APRIL 25, 2019

For example, P&C insurance strives to understand its customers and households better through data, to provide better customer service and anticipate insurance needs, as well as accurately measure risks. Life insurance needs accurate data on consumer health, age and other metrics of risk.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Edge caches become crucial for managing data on its way from web servers to mobile devices. Probably the best one-liner I’ve encountered is the analogy that: DG is to data assets as HR is to people. credit cards).

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

MARCH 25, 2022

Policy makers around the world have been recognizing this heightened risk, which has been further amplified by the recent geopolitical tensions. The European Union (EU) has pulled together a proposal for a unified framework to regulate risk management for financial institutions. How regulatory requirements interact.

Finance 98

Finance KPI Risk IoT 98

O'Reilly on Data

OCTOBER 18, 2022

As AI technologies are adopted more broadly in security and other high-risk applications, we’ll all need to know more about AI audit and risk management. AI audits and assessments may focus on bias issues or other serious risks including safety , data privacy harms , and security vulnerabilities. For our audits, BNH.AI

Risk Management 291

Risk Management Risk Testing Measurement 291

CIO Business Intelligence

MAY 17, 2022

A few years ago, the leadership realized that the banking industry is going to be dominated by great tech companies that manage risk exceptionally well. Risk management was always one of the core foundations of the company. How do you measure the data platform’s ROI and what are the results you’re seeing with Cassandra?

ROI 52

ROI Risk Marketing Modeling 52

Octopai

JULY 12, 2020

” – Andrew Stewardson, Data Risk Manager, FCSA. Octopai saved FCSA weeks of impact analysis research with automation.

Data Warehouse 58

Data Warehouse Data Quality Metadata Risk Management 58

Grooper

OCTOBER 23, 2019

I get to interact with a lot of companies who are on the leading edge of brilliant use-cases for innovating processes and workflows with data. By measuring performance, they drive improvements through necessary process and workflow changes. And how willing are key people to move away from current data management practices and tools?”.

Metrics 59

Metrics Measurement Strategy Optimization 59

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Interactive media plays a much larger role in our work than merely the presentations or blog posts.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

datapine

FEBRUARY 22, 2022

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. Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Rely on interactive data visualizations.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Alation

MARCH 24, 2022

It is critical that firms view data security as part of governance, risk management, and compliance (GRC). With the rise of the internet, concerns around spam and identity theft gave rise to early online privacy measures. A bank vault has both security and privacy measures in place to protect the contents within.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

AWS Big Data

AUGUST 14, 2023

How do we define “risk” and “value” in the context of data products, and how can we measure this? To answer questions such as these and plan accordingly, organizations must implement data product portfolio management (DPPM). Strategies for measuring value and prioritizing data products are explored later in this post.

Management 77

Management Risk Measurement Optimization 77

CIO Business Intelligence

APRIL 12, 2022

These instruments measure a variety of environmental factors such as temperature, tilt angle, shock, humidity and so on to ensure quality of goods in transit. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. measuring value, prioritizing (where to start), and data literacy? Saul Judah is our main person focusing on D&A risk management. Governance. Architecture. Great idea.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52