Smart Data Collective

SEPTEMBER 7, 2021

Properly safeguard physical documents. You and your employees should treat sensitive paper documents with the same level of attention as you treat your online transactions. If the record has served its purpose in your office, keeping it around might be an unnecessary security risk. Ensure you encrypt your data.

Strategy 123

Strategy Risk Measurement IT 123

CIO Business Intelligence

JULY 31, 2023

They note, too, that CIOs — being top technologists within their organizations — will be running point on those concerns as companies establish their gen AI strategies. Here’s a rundown of the top 20 issues shaping gen AI strategies today. Douglas Merrill, a partner at management consulting firm McKinsey & Co.,

Strategy 98

Strategy Risk Enterprise Risk Management 98

CIO Business Intelligence

NOVEMBER 21, 2023

Ask IT leaders about their challenges with shadow IT, and most will cite the kinds of security, operational, and integration risks that give shadow IT its bad rep. That’s not to downplay the inherent risks of shadow IT.

IT 137

IT Risk Cost-Benefit Risk Management 137

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. These workstreams require documenting a vision, assigning leaders, and empowering teams to experiment.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Smart Data Collective

APRIL 19, 2021

But in most instances, the real risk comes from within. For this reason, it’s highly important to implement the correct strategies to minimize any potential breaches. By encouraging staff to make a report if they suspect a leak or have information relating to the potential misuse of data, can also reduce the risk of leaks occurring.

Risk 120

Risk Management Measurement Optimization 120

CIO Business Intelligence

NOVEMBER 3, 2023

AI helps to turn past activities and successes into actionable strategies for future projects at a stroke. For example, AI can quickly answer: what is the best strategy for optimizing savings in a rising market for a particular category? By automating repetitive tasks, difficult problems get more attention, too.

Digital Transformation 128

Digital Transformation Risk Management Risk Machine Learning 128

Smart Data Collective

SEPTEMBER 17, 2020

Financial institutions such as banks have to adhere to such a practice, especially when laying the foundation for back-test trading strategies. Some prominent banking institutions have gone the extra mile and introduced software to analyze every document while recording any crucial information that these documents may carry.

Big Data 141

Big Data Finance Risk Management Risk 141

Alation

MARCH 14, 2023

Data gathering and use pervades almost every business function these days — and it’s widely acknowledged that businesses with a clear strategy around data are best placed to succeed in competitive, challenging markets such as defence. What is a data strategy? Why is a data strategy important?

Data Strategy 52

Data Strategy Strategy Metadata Data Quality 52

DataRobot Blog

JUNE 27, 2022

If the assumptions are being breached due to fundamental changes in the process being modeled, the deployed system is not likely to serve its intended purpose, thereby creating further model risk that the institution must manage. Model Benchmarking.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

JANUARY 19, 2024

“It’s a key issue that needs attention, and a CIO can and should set the tone and practices for effective stakeholder management,” says Brett Tucker, an adjunct professor of cyber risk management at Carnegie Mellon University’s Heinz College.

Management 119

Management Consulting Risk Strategy 119

IBM Big Data Hub

FEBRUARY 13, 2024

For example, organizations can use generative AI to: Quickly turn mountains of unstructured text into specific and usable document summaries, paving the way for more informed decision-making. Invest in data hygiene and collection strategies to keep your engine running smoothly. Automate tedious, repetitive tasks.

Enterprise 122

Enterprise Modeling Testing Data-driven 122

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. The demand for project managers has grown, with salaries for this role increasing by 15.6% percent since 2021, according to Dice.

IT 139

IT Digital Transformation Software Risk 139

CIO Business Intelligence

SEPTEMBER 7, 2023

Additionally, related issues during use are risk of hallucinations and prompt engineering. Additionally, it’s paramount within the financial services sector to ensure responsible AI and adherence to regulatory guidance for model risk. Keeping our AI approach interpretable and managing bias becomes crucial.

Risk Management 98

Risk Management Risk Testing Digital Transformation 98

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

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. Intelligent document processing: uses artificial intelligence and machine learning techniques to automate the processing of documents and unstructured data.

Cost-Benefit 122

Cost-Benefit Machine Learning Interactive Software 122

CIO Business Intelligence

NOVEMBER 23, 2022

Enterprise architecture definition Enterprise architecture (EA) is the practice of analyzing, designing, planning, and implementing enterprise analysis to successfully execute on business strategies. Another main priority with EA is agility and ensuring that your EA strategy has a strong focus on agility and agile adoption.

Enterprise 128

Enterprise Cost-Benefit Digital Transformation Strategy 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 58

Cost-Benefit Risk Management Risk Digital Transformation 58

IBM Big Data Hub

OCTOBER 26, 2023

A corporate sustainability report is a comprehensive document that outlines a company’s efforts, policies, practices and performance related to social, environmental and economic sustainability. It starts with developing a sustainability strategy and roadmap and ESG data reporting.

Reporting 74

Reporting Software Cost-Benefit Strategy 74

CIO Business Intelligence

JUNE 12, 2023

COBIT is an IT management framework developed by the ISACA to help businesses develop, organize, and implement strategies around information management and IT governance. COBIT 2019 was introduced to build governance strategies that are more flexible and collaborative and that address new and changing technology.

Risk Management 91

Risk Management Strategy Digital Transformation Enterprise 91

CIO Business Intelligence

JANUARY 24, 2024

“Our analytics capabilities identify potentially unsafe conditions so we can manage projects more safely and mitigate risks.” We’re piloting a way to do automated payments to subcontractors based on work in place that’s been identified with photo and video documentation,” Higgins-Carter says. Hire the right architects.

Risk Management 118

Risk Management Risk Management Digital Transformation 118

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. When deployed effectively, a good DR plan can help stakeholders better understand the risks to regular business functions that a particular threat may pose.

Cost-Benefit 90

Cost-Benefit Risk Enterprise Advertising 90

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

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. Cyber resilience is a component of operational resilience.

Cost-Benefit 78

Cost-Benefit Testing Strategy Risk Management 78

erwin

OCTOBER 17, 2019

it ensures not only access to proper documentation but also current, updated information. The Regulatory Rationale for Integrating Data Management & Data Governance. Data security/risk management. It also helps define strategy and models, improving interdepartmental cohesion and communication. Data governance.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

erwin

AUGUST 20, 2020

As a practice, EA involves the documentation, analysis, design and implementation of an organization’s assets and structure. With an enterprise architecture management suite (EAMS) , an organization can define and document its structure to more effectively determine how to achieve its goals. Reduced risks and costs.

Enterprise 140

Enterprise Cost-Benefit Risk Data Governance 140

erwin

APRIL 30, 2021

The top priority became mobility through a cloud-first strategy. Priority 3: Risk Management – Security and Compliance. Businesses are paying close attention to risk from internal and external sources.

Enterprise 131

Enterprise Digital Transformation Risk Management Risk 131

erwin

JULY 12, 2019

So it’s important to understand how to use strategic data governance to manage the complexity of regulatory compliance and other business objectives … Designing and Operationalizing Regulatory Compliance Strategy. Strengthen data security. How erwin Can Help.

Data Governance 110

Data Governance Management Metadata Risk Management 110

CIO Business Intelligence

SEPTEMBER 23, 2022

At the foundation of cybersecurity is the need to understand your risks and how to minimize them. Individuals and organizations often think about risk in terms of what they’re trying to protect. When talking about risk in the IT world, we mainly talk about data, with terms like data privacy, data leakage and data loss.

Risk Management 94

Risk Management Risk Strategy Management 94

O'Reilly on Data

DECEMBER 12, 2019

1] This includes C-suite executives, front-line data scientists, and risk, legal, and compliance personnel. These recommendations are based on our experience, both as a data scientist and as a lawyer, focused on managing the risks of deploying ML. That’s where remediation strategies come in. Sensitivity analysis.

Machine Learning 191

Machine Learning Modeling Testing Risk Management 191

Smart Data Collective

MAY 25, 2023

Develop a cybersecurity plan A cybersecurity plan, a written document, comprises details regarding your business’s security procedures, policies, and countermeasure-remediation plan. A cybersecurity strategy is essential for protecting employees, corporate, and customers’ confidential data.

Internet of Things 89

Internet of Things Cost-Benefit Risk Software 89

IBM Big Data Hub

AUGUST 28, 2023

With nearly 5 billion users worldwide—more than 60% of the global population —social media platforms have become a vast source of data that businesses can leverage for improved customer satisfaction, better marketing strategies and faster overall business growth.

Data mining 56

Data mining Machine Learning Deep Learning Marketing 56

CIO Business Intelligence

DECEMBER 5, 2022

Project management steps Project management is broken down into five phases or life cycle. Each phase intersects with any of 10 knowledge areas, which include: integration, scope, time, cost, quality, human resources, communication, risk procurement, and stakeholder management. Document controller: $74,899.

Management 134

Management Cost-Benefit Key Performance Indicator Software 134

erwin

SEPTEMBER 17, 2020

For example, automatically importing mappings from developers’ Excel sheets, flat files, Access and ETL tools into a comprehensive mappings inventory, complete with auto generated and meaningful documentation of the mappings, is a powerful way to support overall data governance. Data quality is crucial to every organization.

Cost-Benefit 143

Cost-Benefit Data Governance Metadata Reporting 143

Alation

AUGUST 17, 2022

The Risks of Early Data Governance Programs. The biggest risk was a lack of ownership. Too often, organizations don’t educate their users about data governance, security, and business risk,” claims analyst Jack Gold. If your definitions are bad, so is your governance/risk/security. Enterprise risk management.

Data Governance 92

Data Governance Risk Data-driven Measurement 92

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

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

CIO Business Intelligence

SEPTEMBER 20, 2023

The best way to address this gap is to draft a simple vision statement written by product managers and delivery leaders in collaboration with stakeholders and agile teams. The writing process builds trust, and a documented vision builds a shared understanding of priorities.

Digital Transformation 135

Digital Transformation Uncertainty Metrics Business Objectives 135