IBM Big Data Hub

SEPTEMBER 6, 2023

A continuous vulnerability management process helps stop cyberattacks—and soften the blow of those that succeed—by finding and fixing flaws before threat actors can weaponize them. The vulnerability management lifecycle Corporate networks are not static.

Management 108

Management Metrics Risk Reporting 108

CIO Business Intelligence

APRIL 21, 2022

Combining Agile and DevOps with elements such as cloud, testing, security, risk management and compliance creates a modernized technology delivery approach that can help an organization achieve greater speed, reduced risk, and enhanced quality and experience. All hands on deck .

Digital Transformation 130

Digital Transformation Key Performance Indicator Risk Testing 130

CDW Research Hub

MAY 24, 2021

Today’s digital risk and compliance profile requires developing an information security program based on a well-structured plan that includes people, processes and technologies, and focuses on the protection of information and information assets. Develop a security risk management program.

Risk Management 52

Risk Management Risk Unstructured Data Business Objectives 52

IBM Big Data Hub

FEBRUARY 8, 2024

It refers to a set of metrics used to measure an organization’s environmental and social impact and has become increasingly important in investment decision-making over the years. In response, asset managers began to develop ESG strategies and metrics to measure the environmental and social impact of their investments.

Measurement 86

Measurement Metrics Reporting Strategy 86

CIO Business Intelligence

MARCH 13, 2024

We did side-by-side testing,” he says. In testing, gen AI was also particularly good at generating test cases and creating dummy data for testing. We got 600 people together to test gen AI in a sandbox to try different use cases in 54 different categories.”

IT 124

IT Consulting Testing Cost-Benefit 124

CIO Business Intelligence

APRIL 13, 2023

Gartner projects that spending on information security and risk management products and services will grow 11.3% To better focus security spend, some chief information security officers (CISOs) are shifting their risk assessments from IT systems to the data, applications, and processes that keep the business going.

IT 111

IT Cost-Benefit Risk Consulting 111

FineReport

JUNE 7, 2023

What Is A Project Management Dashboard? Project management dashboards serve as dynamic visual aids, empowering project managers to effectively track project progress, identify risks, and allocate tasks to team members efficiently. Free Download of FineReport How To Create A Project Management Dashboard Effectively?

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

FineReport

FEBRUARY 17, 2021

Risk management. Here, project managers should summarize all predicted risks so that stakeholders can obtain a clear risk assessment and prepare plan B. Report any quality testing and any issues found. Viewers can track key information such as progress, costs, quality, and risks at a glance.

Reporting 98

Reporting Management Dashboards Risk 98

Cloudera

AUGUST 25, 2020

One of the key takeaways from recent times that should be considered into the future, is that banks need to rethink how they look at tail risk or extreme events that rarely happen. . This is critically important for predicting risk exposures. In financial services, there are many use cases that are optimal for the ABM approach.

Prescriptive Analytics 70

Prescriptive Analytics Technology Machine Learning Risk 70

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. To improve the way they model and manage risk, institutions must modernize their data management and data governance practices.

Data Architecture 82

Data Architecture Risk Management Risk Management 82

IBM Big Data Hub

JULY 12, 2023

Good contingency plans prioritize the risks an organization faces, delegate responsibility to members of the response teams and increase the likelihood that the company will make a full recovery after a negative event. Make a list of risks and prioritize them according to likelihood and severity.

Risk 40

Risk Cost-Benefit Internet of Things Testing 40

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 94

Risk Marketing Risk Management Data-driven 94

IBM Big Data Hub

APRIL 4, 2024

By connecting workflow management, centralizing data management , and fostering collaboration and communication, BPM enables organizations to remain competitive by providing access to accurate and timely data. BPM can also provide real-time visibility into claim status and performance metrics.

Management 59

Management Cost-Benefit Metrics Consulting 59

IBM Big Data Hub

DECEMBER 4, 2023

Clearly define the objective of the implementation project and determine its scope, timeline and budget as well as create a risk management plan. It will include a clear mission statement and roadmap to Oracle adoption along with the project’s budget, staffing requirements, timeline and risk assessment.

Testing 79

Testing Consulting Digital Transformation Cost-Benefit 79

DataRobot Blog

JULY 21, 2022

Data scientists need to understand the business problem and the project scope to assess feasibility, set expectations, define metrics, and design project blueprints. Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Test for bias to ensure fairness.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

CIO Business Intelligence

MARCH 5, 2024

CIOs must also partner with CISOs, legal, human resources, and business leaders to build awareness of policies and develop a generative AI risk management strategy. CIOs and IT leaders are at the center and must decide what copilots to test, who should receive access, and whether experiments are delivering business value.

Cost-Benefit 112

Cost-Benefit Advertising Experimentation Software 112

IBM Big Data Hub

FEBRUARY 22, 2024

Defense leaders focused on operationalizing the responsible curation of AI must first agree upon a shared vocabulary—a common culture that guides safe, responsible use of AI—before they implement technological solutions and guardrails that mitigate risk. Designate accountable people to mitigate these risks.

Metadata 101

Metadata Measurement Risk Modeling 101

CIO Business Intelligence

JULY 11, 2023

By deploying the LLM within their own VPC, the company can benefit from the AI’s insights without risking the exposure of their valuable data. The No Test Gaps Principle Under the No Test Gaps Principle, it is unacceptable that LLMs are not tested holistically with a reproducible test suite before deployment.

Modeling 69

Modeling Testing Experimentation Risk Management 69

Domino Data Lab

AUGUST 10, 2021

Models can predict things before they happen more accurately than humans, such as catastrophic weather events or who is at risk of imminent death in a hospital. As an example, an image recognition model would be trained on one set of images and then tested on a fresh set of images to ensure it will perform as required.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Insight

FEBRUARY 19, 2020

Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. I held out 20% of this as a test set and used the remainder for training and validation.

Risk 67

Risk ROI Modeling Metrics 67

IBM Big Data Hub

JULY 28, 2023

Every vulnerability is a risk for organizations. In response, enterprises have made vulnerability management a key component of their cyber risk management strategies. The vulnerability management lifecycle offers a formal model for effective vulnerability management programs in an ever-changing cyberthreat landscape.

Management 68

Management Metrics Risk Measurement 68

Cloudera

MARCH 18, 2021

The Fundamental Review of the Trading Book (FRTB), introduced by the Basel Committee on Banking Supervision (BCBS), will transform how banks measure risk. In order to help make banks more resilient to drastic market changes, it will impose capital requirements that are more closely aligned with the market’s actual risk factors.

Risk 55

Risk Machine Learning Risk Management Measurement 55

O'Reilly on Data

OCTOBER 18, 2022

When we use AI in security applications, the risks become even more direct. 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. Data can be wrong. Predictions can be wrong. System designs can be wrong.

Risk Management 291

Risk Management Risk Testing Measurement 291

CIO Business Intelligence

FEBRUARY 3, 2023

He says that IT remains largely in-house across helpdesk, data analytics, cybersecurity and development, bar small pockets of outsourced capability for software development and testing, and suggests that business growth hasn’t been the only challenge—not least in the days after Queen Elizabeth II’s death last September.

IT 52

IT Experimentation Scorecard Digital Transformation 52

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. The biggest thing we did was data testing.

ROI 52

ROI Risk Marketing Modeling 52

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59

AWS Big Data

JANUARY 31, 2024

The default is 20 DPUs, but we tested this calculation with 10, 20, and 40 DPUs to demonstrate how Athena Spark automatically scales to run our analysis. TB distributed across approximately 300 compressed Parquet files NBBO – 2.8 For example, in the following calculation, Athena Spark is utilizing 18 DPUs.

Marketing 82

Marketing Analytics Visualization Strategy 82

Grooper

OCTOBER 23, 2019

Can you see how information management will transform data into a legitimate asset that fuels enterprise-wide goals? For example, business growth, profits, cost and performance optimization, efficiency, compliance, and risk management. What metrics and goals do you have for information management? They are: Vision.

Metrics 59

Metrics Measurement Strategy Optimization 59

datapine

AUGUST 29, 2022

And with that understanding, you’ll be able to tap into the potential of data analysis to create strategic advantages, exploit your metrics to shape them into stunning business dashboards , and identify new opportunities or at least participate in the process. Product/market fit is THE most important factor to get right.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

Alation

FEBRUARY 8, 2022

Data observability — comprising identifying, troubleshooting, and resolving data issues — can be achieved through quality testing built by teams within each domain. These are valuable systems for enterprise risk management. Self-describing. Automation is rapidly making these use-case visions a reality.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

bridgei2i

JULY 15, 2020

Given the complexity of supply chains, the sheer lack of end-to-end visibility makes it difficult to control and tweak the right levers for risk mitigation and efficiency improvement. In the wake of this situation, companies that have protocols related to risk management and agility in management decisions are primed for success.

Testing 52

Testing KPI Risk Management Measurement 52

DataRobot Blog

MARCH 7, 2023

DataRobot identifies and recommends models that are ready to move into production by automatically testing and comparing thousands of models, while those already in production are continuously monitored to ensure performance and compliance. This generates reliable business insights and sustains AI-driven value across the enterprise.

Data-driven 59

Data-driven Machine Learning Experimentation Data Lake 59

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 76

Management Risk Measurement Optimization 76

Andrew White

JANUARY 11, 2021

Some data is more a risk than valuable. Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Storytelling is a nice one to use early on to test the approach. Saul Judah is our main person focusing on D&A risk management.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52