IBM Big Data Hub

AUGUST 18, 2023

The Digital Operational Resilience Act , or DORA, is a European Union (EU) regulation that created a binding, comprehensive information and communication technology (ICT) risk-management framework for the EU financial sector. It offers more control and flexibility for comprehensive testing and validation.

Cost-Benefit 82

Cost-Benefit Testing Strategy Risk Management 82

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 139

IT Digital Transformation Software Risk 139

CIO Business Intelligence

OCTOBER 3, 2023

They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Process optimisation: processes are examined, re-engineered, standardised and carefully tested prior to being automated processes.

Cost-Benefit 121

Cost-Benefit Machine Learning Interactive Software 121

CIO Business Intelligence

SEPTEMBER 7, 2023

Established risk management framework to evaluate the use cases and validate the controls to manage relevant risks Continuous authentication and authorization to maintain the principles of least privilege and context of user entitlement.

Risk Management 96

Risk Management Risk Testing Digital Transformation 96

CIO Business Intelligence

MARCH 13, 2024

So when on-boarding potential vendors, productivity has increased by 70 to 80% as a result of using gen AI to help analyze masses of documents. “We 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.

IT 128

IT Consulting Testing Cost-Benefit 128

IBM Big Data Hub

APRIL 4, 2024

Lots of innovation is happening, with new technologies emerging in areas such as data and AI, payments, cybersecurity and risk management, to name a few. A third-party risk management review, where the ISV needs to describe how it is complying to required controls. Most of these new technologies are born-in-cloud.

Cost-Benefit 61

Cost-Benefit Risk Management Risk Digital Transformation 61

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. The study of security in ML is a growing field—and a growing problem, as we documented in a recent Future of Privacy Forum report. [8]. Sensitivity analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

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

CIO Business Intelligence

OCTOBER 13, 2023

Here are the top 11 roles companies are currently hiring for, or have plans to hire for, to directly address their emerging gen AI strategies. The role of algorithm engineer requires knowledge of programming languages, testing and debugging, documentation, and of course algorithm design.

Deep Learning 143

Deep Learning Machine Learning Modeling Software 143

IBM Big Data Hub

JANUARY 29, 2024

Business continuity and disaster recovery plans are risk management strategies that businesses rely on to prepare for unexpected incidents. Businesses that operate in the healthcare and personal finance space are at a higher risk because of the sensitivity of the data they handle.

Cost-Benefit 96

Cost-Benefit Risk Enterprise Advertising 96

Cloudera

SEPTEMBER 7, 2023

proprietary data, business strategies, methodologies, etc. In this blog series, well dive into the advantages of Trusted AI and the broader ramifications of AI adoption, exploring how financial institutions can bootstrap and evolve their AI strategies, from initial steps to what mature AI adoption looks like. AI-ify risk management.

Insurance 80

Insurance Risk Data-driven Finance 80

Cloudera

NOVEMBER 18, 2021

This allows for an omni-channel view of the customer and enables real-time data streaming and a safe zone to test machine learning models using Cloudera Data Science Workbench (CDSW). The variety of formats, unstructured nature, and dispersed location of these documents present several challenges for critical business decisions.

Data Lake 75

Data Lake Cost-Benefit Digital Transformation Risk 75

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

erwin

JUNE 14, 2019

Its past successes – and future potential – are well documented, chronicled in the billion-dollar valuations of the frontrunners in the practice. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. This is an important data point for marketing strategy.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

IBM Big Data Hub

SEPTEMBER 20, 2022

Often data scientists aren’t thrilled with the prospect of generating all the documentation necessary to meet ethical and regulatory standards. Similarly, facts can be collected while the model is in the testing and validation stages. The potential advantage of AI is reflected in the strategy trends of industry leaders.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

Smart Data Collective

SEPTEMBER 21, 2022

Organizations need employees with problem solving skills to evaluate situations and come up with strategies in order to fix the issue. In the Software Development field, it’s important for candidates to know coding, algorithms, applications, design, security, testing, debugging, modelling, languages, and documentation.

Statistics 85

Statistics Software Data mining Marketing 85

FineReport

JUNE 7, 2023

Timely Risk Identification and Mitigation: Project management dashboards facilitate the identification and management of project risks. By visualizing risk data, project managers can proactively address potential issues, implement risk mitigation strategies, and minimize the impact of risks on project outcomes.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

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

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. Strategies for measuring value and prioritizing data products are explored later in this post.

Management 76

Management Risk Measurement Optimization 76

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

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.

Risk 40

Risk Data Governance Data Lake Data-driven 40

Grooper

OCTOBER 23, 2019

Can you see how information management will transform data into a legitimate asset that fuels enterprise-wide goals? Leadership is championing information management best practices, and we’re leveraging data for enhanced analytics and fueling innovation. Articulating strategy in terms of business outcome is key. Governance.

Metrics 59

Metrics Measurement Strategy Optimization 59

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 124

Cost-Benefit Advertising Experimentation Software 124

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. She’s the president of European Chamber of Digital Commerce, where she enables companies to develop successful digital strategies in order to shape the digital future.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

DataRobot Blog

JULY 21, 2022

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. These strategies enable you to scale AI adoption.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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

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. The exam covers project basics, project constraints, communication and change management, and project tools and documentation.

Management 111

Management Cost-Benefit Testing Risk 111

IBM Big Data Hub

APRIL 4, 2024

Document-centric BPM is for efficiently managing documents and content—such as contracts—within processes. Business process management examples BPM can help improve overall business operations by optimizing various business processes.

Management 61

Management Cost-Benefit Metrics Consulting 61

DataRobot

SEPTEMBER 16, 2021

Pricing actuaries can test various advanced algorithms with minimal setup, including XGBoost, GBM, ENET, and GAM. No tools can eliminate the important work performed by pricing actuaries when it comes to explaining model results and preparing supporting documents for filing. Compliance documentation. Feature Impact. Conclusion.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

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 70

Management Metrics Risk Measurement 70

DataRobot Blog

DECEMBER 20, 2022

We’ll then empirically test this assumption based on an example of real estate asset assessment. For example, just to name the business of asset managers is generally dependent on these (but not limited to) four fundamentals : Accurately estimating the current asset’s price and rent. Automating and optimizing their investment strategy.

Management 59

Management Machine Learning Optimization Modeling 59

CIO Business Intelligence

JULY 6, 2023

Classic examples are the use of AI to capture and convert semi-structured documents such as purchase orders and invoices, Fleming says. We’re equipping this tool with a private ‘knowledge base’ of AT&T-specific data, with chat enabled to get answers directly from these internal AT&T documents and materials.”

Cost-Benefit 119

Cost-Benefit Technology Unstructured Data Testing 119

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. Precisely buys PlaceIQ.

Enterprise 143

Enterprise Technology Consulting Software 143