O'Reilly on Data

DECEMBER 12, 2019

In addition to newer innovations, the practice borrows from model risk management, traditional model diagnostics, and software testing. While our analysis of each method may appear technical, we believe that understanding the tools available, and how to use them, is critical for all risk management teams.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

CIO Business Intelligence

JUNE 8, 2023

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. Companies need qualified CTOs, CIOs, vice presidents, and directors who are focused on developing and overseeing the business’ overall technology strategy and goals.

IT 135

IT Digital Transformation Software Risk 135

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. Still, he urges companies to look beyond measurements of coding speed. Eventually, he says, everyone will be using it, with AI tools being integral and reliable.

IT 124

IT Consulting Testing Cost-Benefit 124

CIO Business Intelligence

APRIL 27, 2023

The CIO typically ranks the highest in an IT department, responsible for managing the organization’s IT strategy, resources, operations, and overall goals. Meanwhile, the CTO focuses on technology research and development efforts, often working closely with the CIO to develop a strong IT strategy.

IT 113

IT Software Risk Management 113

CIO Business Intelligence

MAY 9, 2024

2 is we take our phishing test very seriously, and we’re expanding that to vishing, to QR codes, to spear phishing to focus on different groups and functions. I think it’s the respect of the role that Sathish has and the struggle he has, because for the entire first year, I took over his technology vision and strategy just for cyber.

Cost-Benefit 108

Cost-Benefit Technology Risk Risk Management 108

CDW Research Hub

JUNE 10, 2021

These allow us to take a vendor-neutral stance to help clients consider, compare, test and select the right solution for their environment, requirements and desired business outcomes. Add our strengths to your security strategy. Measuring security effectiveness. Threat & Vulnerability Management. & MANAGE.

Enterprise 52

Enterprise Consulting Risk Business Objectives 52

Decision Management Solutions

APRIL 23, 2019

Business rules, policies, and predictive analytic models can be challenged in a controlled environment to pursue better risk management approaches. Typically, this involves simulating changes to rules or policies prior to making those changes live, then making the change and measuring the effectiveness of the change over time.

Insurance 69

Insurance Risk Technology Management 69

CIO Business Intelligence

SEPTEMBER 2, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Full-stack software engineer. Back-end software engineer. Director of software engineering.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

In the finance industry, software engineers are often tasked with assisting in the technical front-end strategy, writing code, contributing to open-source projects, and helping the company deliver customer-facing services. Full-stack software engineer. Back-end software engineer. Director of software engineering.

Finance 98

Finance IT Software Reporting 98

DataRobot Blog

MAY 26, 2022

In this post, we will dive deeper into how members from both the first and second line of defense within a financial institution can adapt their model validation strategies in the context of modern ML methods. This may be accomplished through a wide variety of tests, to develop a deeper introspection into how the model behaves.

Risk 52

Risk Modeling Metrics Business Objectives 52

CIO Business Intelligence

MARCH 24, 2023

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 framework Data governance may best be thought of as a function that supports an organization’s overarching data management strategy.

Data Governance 142

Data Governance Management Metadata Data Quality 142

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

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

IBM Big Data Hub

JULY 7, 2023

Learn how to create a holistic data protection strategy Staying on top of data security to keep ahead of ever-evolving threats Data security is the practice of protecting digital information from unauthorized access, corruption or theft throughout its entire lifecycle. Manage third-party-related risks. Define sensitive data.

Risk 40

Risk Data Governance Data Lake Data-driven 40

O'Reilly on Data

JULY 15, 2019

A look at how guidelines from regulated industries can help shape your ML strategy. In recent posts, we described requisite foundational technologies needed to sustain machine learning practices within organizations, and specialized tools for model development, model governance, and model operations/testing/monitoring.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

CIO Business Intelligence

MAY 13, 2024

Corporate and IT strategy are one, and technology is the tool to deliver strategic objectives. The Conference Board’s C-Suite Outlook 2024 , which surveyed 1,200-plus global executives, found that investing in AI is a top strategy for enabling long-term revenue growth, innovation, and digital transformation.

IT 113

IT Digital Transformation ROI Strategy 113

IBM Big Data Hub

JANUARY 30, 2024

To overcome various challenges associated with multicloud , organizations need to map out a comprehensive multicloud management strategy to achieve overall success. Security risks: Maintaining strong security measures is a critical component of enterprise cloud adoption. What is multicloud architecture?

Strategy 100

Strategy Cost-Benefit Risk Optimization 100

CIO Business Intelligence

SEPTEMBER 6, 2023

The value of addressing cybersecurity issues through ongoing discussions is getting corporate alignment on effective and robust strategies, says Roger Albrecht, co-lead of the cybersecurity unit at technology research and advisory firm ISG. Are our systems adequately modernized for security? Have we fostered a culture of security?

IT 140

IT ROI Risk Strategy 140

DataRobot Blog

JULY 21, 2022

Outline clear metrics to measure success. Document assumptions and risks to develop a risk management strategy. Identify a consumption strategy. Define the exact calculation for the target variable or create a couple options to test. Test for bias to ensure fairness. Define project scope.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Cloudera

SEPTEMBER 7, 2023

But these measures alone may not be sufficient to protect proprietary information. proprietary data, business strategies, methodologies, etc. AI-ify risk management. Leverage ML/AI to refine risk models, incorporating data from diverse sources, and predicting outcomes based on market sentiment, climate data, etc.

Insurance 79

Insurance Risk Data-driven Finance 79

IBM Big Data Hub

JULY 28, 2023

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

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 Given those two, plus SQL gaining eminence as a database strategy, a decidedly relational picture coalesced throughout the decade. Andrew Ng later described this strategy as the “Virtuous Cycle of AI” – a.k.a.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

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. OPRA stands out as one the most voluminous feeds, with a peak of 150.4

Marketing 82

Marketing Analytics Visualization Strategy 82

DataRobot

SEPTEMBER 16, 2021

Pricing actuaries can test various advanced algorithms with minimal setup, including XGBoost, GBM, ENET, and GAM. 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.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

CIO Business Intelligence

APRIL 22, 2022

The exam covers topics including Scrum, Kanban, Lean, extreme programming (XP), and test-driven development (TDD). Candidates can also take a self-test to benchmark their knowledge. Project Management Professional (PMP). Certified ScrumMaster (CSM).

Management 110

Management Cost-Benefit Testing Risk 110

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.

Finance 79

Finance KPI Risk IoT 79

Grooper

OCTOBER 23, 2019

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?”. Your dream of effectively managing an enterprise-wide master data model can be a reality. And they simply execute better. Governance.

Metrics 59

Metrics Measurement Strategy Optimization 59

datapine

AUGUST 29, 2022

At 156 pages on Kindle, this is a book you could finish in one (long) sitting if you were so inclined, and that you can also use as an inspiration when you work on your business intelligence strategy. 6) Lean Analytics: Use Data to Build a Better Startup Faster, by Alistair Croll and Benjamin Yoskovitz. is one of the greatest on the market.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

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

CIO Business Intelligence

JULY 6, 2023

Another benefit is greater risk management. Using automation technologies helps meet client expectations and ensures consistency, while lowering risks that can be attributed to human error.” Scaling automation shifts from tactical one-off efforts to a strategy to improve one or more business processes,” she says.

Cost-Benefit 116

Cost-Benefit Technology Unstructured Data Testing 116

Andrew White

JANUARY 11, 2021

Do you recommend a consulting approach strategy rather than a CDO strategy? How do you think Technology Business Management plays into this strategy? As such any Data and Analytics strategy needs to incorporate data sovereignty as per of its D&A governance program. Value Management or monetization.

Data Analytics 52

Data Analytics Analytics Data-driven Finance 52

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson. Broadcom to buy AppNeta.

Enterprise 142

Enterprise Technology Consulting Software 142