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.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

APRIL 11, 2022

This means embedding and integrating teams on key strategic priorities and supplying shared metrics to their business stakeholders to ensure a successful partnership. Building a network of fellow IT leaders to frequently interact with is key, says Prasad Ramakrishnan, CIO of SaaS provider Freshworks. “In Aim for agility.

Cost-Benefit 119

Cost-Benefit Digital Transformation Strategy Consulting 119

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy more models, it’s becoming clear that we will need to think beyond optimizing statistical and business metrics. Real modeling begins once in production. Culture and organization.

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

AWS Big Data

APRIL 12, 2023

We deliver expertly authored training materials to organizations, including computer-based video training sessions, interactive learning modules, supplemental materials, and reinforcement curriculum to keep security top-of-mind for all employees.

Dashboards 59

Dashboards Risk Data-driven Visualization 59

Cloudera

AUGUST 25, 2020

For example, using this information one can evaluate whether something has a set of potential tail risk scenarios that can be catastrophic to the institution or economy, or whether it poses no risk at all. In the ABM framework, these heterogeneous agents interact with other agents within a network structure (eg.,

Prescriptive Analytics 68

Prescriptive Analytics Technology Machine Learning Risk 68

Sisense

SEPTEMBER 3, 2020

They also put together custom database queries to answer the questions of business users, implement new metrics from existing data, strive to improve data quality, and contribute to correct acquisition of new data. This includes database modeling, metrics definition, dashboard design , and creating and publishing executive reports.

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

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 60

Management Cost-Benefit Metrics Consulting 60

Domino Data Lab

AUGUST 10, 2021

Reinforcement learning: used with AI, or neural networks, when a model needs to interact with an environment. This can be done automatically using the Domino Model Monitor platform by specifying model accuracy metrics and then having the platform notify you if the model performs outside of those metrics.

Modeling 64

Modeling IT Risk Management Deep Learning 64

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies. 91% of CIOs expect their tech budget to either increase or stay the same in 2023.

Strategy 97

Strategy Data-driven Interactive Digital Transformation 97

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. Define project scope.

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

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

AWS Big Data

JANUARY 31, 2024

Athena for Apache Spark For analytical endeavors, Athena for Apache Spark offers a simplified notebook experience accessible through the Athena console or Athena APIs, allowing you to build interactive Apache Spark applications. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 82

Marketing Analytics Visualization Strategy 82

Smart Data Collective

FEBRUARY 20, 2022

The first step in building these defenses is to understand how users, administrators, or applications interact with a database. Different DAM providers use different approaches to defining the key metrics that influence the cost of an off-the-shelf solution. DAM features.

Behavioral Analytics 117

Behavioral Analytics Risk Machine Learning Interactive 117

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. Beyond that, we have commercial lending, as well as near-term services, like Capital One Shopping.

ROI 52

ROI Risk Marketing Modeling 52

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

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. Can you see how information management will transform data into a legitimate asset that fuels enterprise-wide goals? What metrics and goals do you have for information management?

Metrics 59

Metrics Measurement Strategy Optimization 59

DataRobot Blog

DECEMBER 20, 2022

DataRobot starts modeling after we enable some additional settings, like including advanced ensembling and blueprints, as well as search for interactions to leverage relationships across multiple variables, potentially yielding a better model accuracy and feature constraints to integrate the real estate market expertise and knowledge.

Management 59

Management Machine Learning Optimization Modeling 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

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Rely on interactive data visualizations. For instance, BI dashboard software such as datapine offers the possibility to generate interactive dashboards in real-time without the need for any technical knowledge.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

APRIL 15, 2024

A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens. Eighteen months ago, AI was an interesting topic, but today, if you don’t have a plan to elevate experience via AI you are behind,” says LaQuinta. “We

Digital Transformation 130

Digital Transformation Strategy Technology Enterprise 130

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). Monitoring and Event Management X X. Examples may include associated revenue, savings, or reductions in operational losses.

Management 77

Management Risk Measurement Optimization 77

Andrew White

JANUARY 11, 2021

Value Management or monetization. Risk Management (most likely within context of governance). Product Management. Saul Judah is our main person focusing on D&A risk management. I am not totally sure I know what you mean with KRM but I believe you mean Key Risk Management indicators.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

Jet Global

NOVEMBER 16, 2022

management satisfaction. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. Give Your Metrics Context. employee satisfaction. employee trust. customer satisfaction.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

APRIL 5, 2021

Financial modeling involves combining key accounting, finance, and business metrics to build an abstract representation, or model, of a company’s financial situation. Risk management. For example, the capital budgeting model that we talk about later in this post will make use of the DCF model for some of its metrics. .

Modeling 98

Modeling Forecasting Metrics Finance 98