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. Generative AI proves highly useful in rapidly creating various types of documentation required by coders. Automate tedious, repetitive tasks.

Enterprise 118

Enterprise Modeling Testing Data-driven 118

erwin

SEPTEMBER 3, 2020

It documents your data assets from end to end for business understanding and clear data lineage with traceability. Data governance and EA also provide many of the same benefits of enterprise architecture or business process modeling projects: reducing risk, optimizing operations, and increasing the use of trusted data.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Platforms and practices not optimized for AI. Challenges around managing risk.

Metadata 97

Metadata Risk Risk Management Experimentation 97

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

Cloudera

AUGUST 12, 2021

However, the important role data occupies extends beyond customer experience and revenue, as it becomes increasingly central in optimizing internal processes for the long-term growth of an organization. Collecting workforce data as a tool for talent management. Risk Management. Conclusion.

Data-driven 111

Data-driven Manufacturing Insurance Risk Management 111

IBM Big Data Hub

DECEMBER 4, 2023

The most common insurance use cases include optimizing processes that require processing large documents and large blocks of text or images. Customer engagement Providing insurance coverage involves working with numerous documents. Below, we provide summaries of some of our current generative AI implementation initiatives.

Insurance 54

Insurance Digital Transformation Risk Management Interactive 54

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. In an M&A scenario, businesses need to ensure their systems are fully documented and rationalized.

Enterprise 106

Enterprise Digital Transformation Data Governance Risk Management 106

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. OCR is widely used to digitize all kinds of physical documentation. Thus, speeding up the entire process with minimal error.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

CIO Business Intelligence

JANUARY 24, 2024

The product — a building or bridge — might be physical but it can be represented digitally, through virtual design and construction, she says, with elements of automation that can optimize and streamline entire business processes for how physical products are delivered to clients. Hire the right architects.

Risk Management 116

Risk Management Risk Management Digital Transformation 116

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. OCR is widely used to digitize all kinds of physical documentation. Thus, speeding up the entire process with minimal error.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

CIO Business Intelligence

MARCH 24, 2023

The Business Application Research Center (BARC) warns that data governance is a highly complex, ongoing program, not a “big bang initiative,” and it runs the risk of participants losing trust and interest over time. They must be accompanied by documentation to support compliance-based and operational auditing requirements.

Data Governance 142

Data Governance Management Metadata Data Quality 142

Cloudera

OCTOBER 28, 2021

Since the beginning of Commercial insurance as we know it today, insurers have been using data generated by other industries to assess and rate risks. In the days of Lloyd’s Coffee House , insurers gathered data about cargo, voyages, seasonal weather and the performance history of vessels and mariners to underwrite risks.

Insurance 97

Insurance Risk Unstructured Data Data-driven 97

FineReport

JUNE 7, 2023

This approach is facilitated by project management dashboards, which enable you to monitor, optimize, and enhance project performance while boosting overall team productivity. Additionally, these dashboards provide customized reports that offer a swift overview of project status, simplifying resource optimization and time management.

Dashboards 52

Dashboards Management Visualization Cost-Benefit 52

IBM Big Data Hub

AUGUST 28, 2023

These are two common methods for text representation: Bag-of-words (BoW): BoW represents text as a collection of unique words in a text document. Term frequency-inverse document frequency (TF-IDF): TF-IDF calculates the importance of each word in a document based on its frequency or rarity across the entire dataset.

Data mining 53

Data mining Machine Learning Deep Learning Marketing 53

FineReport

FEBRUARY 17, 2021

Document all the resources: financial, personnel, and other resources required to reach project goals. Risk management. Here, project managers should summarize all predicted risks so that stakeholders can obtain a clear risk assessment and prepare plan B. Project Management Dashboard (by FineReport).

Reporting 98

Reporting Management Dashboards Risk 98

IBM Big Data Hub

JULY 27, 2023

EAM can help companies stay compliant by providing up-to-date documentation, tracking necessary inspections, ensuring that all equipment meets the required standards, and providing alerts for upcoming compliance-related activities. It can also significantly increase uptime and lifespan.

Cost-Benefit 55

Cost-Benefit IoT Internet of Things Enterprise 55

CIO Business Intelligence

MARCH 9, 2023

Recognize the significance of the contract The legal agreement between vendor and customer is not just a document standing in the way of getting work started; it sets the tone for the relationships and the expectations for vendor performance. Here are their top 10 tips. If what you’re looking for isn’t in the contract, it won’t happen.

Cost-Benefit 115

Cost-Benefit Risk Uncertainty Technology 115

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 90

Risk Management Risk Strategy Management 90

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’re seeing a 15 to 20% uplift of productivity across the board,” says Matt Barrington, EY’s Americas emerging technologies leader. We did side-by-side testing,” he says.

IT 128

IT Consulting Testing Cost-Benefit 128

IBM Big Data Hub

SEPTEMBER 20, 2022

Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to. Your model risk management team, IT operations team and line-of-business employees also need appropriate access.

Metadata 56

Metadata Machine Learning Data-driven Modeling 56

O'Reilly on Data

JULY 15, 2019

After the 2008 financial crisis, the Federal Reserve issued a new set of guidelines governing models— SR 11-7 : Guidance on Model Risk Management. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management. AI projects in financial services and health care.

Machine Learning 38

Machine Learning Management Enterprise Risk Management 38

Smart Data Collective

SEPTEMBER 21, 2022

In the marketing industry, some key technical skills you should look for are expert knowledge of different social media platforms, a good understanding of Search Engine Optimization (SEO), copywriting, and the ability to operate Content Management Systems (CMS). Graphic Design. This is essential for AI startups.

Statistics 84

Statistics Software Data mining Marketing 84

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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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. Today, top AI-assistant capabilities delivering results include generating code, test cases, and documentation. So, what delivers on the productivity promise today?

Cost-Benefit 124

Cost-Benefit Advertising Experimentation Software 124

IBM Big Data Hub

APRIL 4, 2024

Conversely, it has a larger scope than task management, which deals with individual tasks, and project management, which handles one-time initiatives. Document-centric BPM is for efficiently managing documents and content—such as contracts—within processes.

Management 55

Management Cost-Benefit Metrics Consulting 55

Cloudera

SEPTEMBER 7, 2023

But it’s also fraught with risk. This June, for example, the European Union (EU) passed the world’s first regulatory framework for AI, the AI Act , which categorizes AI applications into “banned practices,” “high-risk systems,” and “other AI systems,” with stringent assessment requirements for “high-risk” AI systems.

Insurance 83

Insurance Risk Data-driven Finance 83

DataRobot Blog

JULY 21, 2022

Document assumptions and risks to develop a risk management strategy. For a credit risk model, the target could be defined as “fully repays loan” or “payments in first 2 years are current” or or “collateral is repossessed.”. Create model compliance documentation for regulated industries. Download Now.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

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. Now, there is a data risk here.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Smart Data Collective

AUGUST 2, 2019

The benefits of AI in ecommerce include enhancing products, optimizing processes, identifying new markets and more. Now, a new benefit of AI is joining the list: avoiding the risk of website accessibility lawsuits. The post AI Advances Minimize Risk of Site Accessibility Lawsuits in eCommerce appeared first on SmartData Collective.

Risk 70

Risk Machine Learning Sales Visualization 70

IBM Big Data Hub

MAY 14, 2024

Following a recent executive order by the Biden administration and a meteoric rise in AI adoption across sectors, the Office of Management and Budget (OMB) released a memo on how federal agencies can seize AI’s opportunities while managing its risks. But, how will these CAIOs balance regulatory measures and innovation?

Risk 84

Risk Risk Management Measurement Strategy 84

erwin

FEBRUARY 4, 2021

While acknowledging that data governance is about more than risk management and regulatory compliance may indicate that companies are more confident in their data, the data governance practice is nonetheless growing in complexity because of more: Data to handle, much of it unstructured. Points of integration. Regulations.

Data Governance 89

Data Governance Metadata Data Quality Risk Management 89

CIO Business Intelligence

FEBRUARY 22, 2024

The perfect ESG software would encompass all lifecycle elements of an ESG strategy, be a potent program management tool, a risk management tool, provider of analytics, and a vehicle for accountability and verification.”

Software 95

Software Reporting KPI Enterprise 95

erwin

JULY 8, 2020

This practice identifies and drives digital transformation opportunities to increase revenue while limiting risks and avoiding regulatory and compliance gaffes. Business process modeling is also critical for risk management and regulatory compliance. Try erwin Evolve for yourself in a no-cost, risk-free trial.

Slice and Dice 136

Slice and Dice Modeling Digital Transformation Visualization 136

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. Automating and optimizing their investment strategy.

Management 59

Management Machine Learning Optimization Modeling 59

Smart Data Collective

FEBRUARY 20, 2022

During this process, you need to analyze your data assets, categorize and prioritize them, conduct a risk assessment, and establish appropriate monitoring and response techniques. There are several recommendations for optimizing the costs of maintaining a DAM system. DAM is the silver bullet that forestalls these scenarios.

Behavioral Analytics 115

Behavioral Analytics Risk Machine Learning Interactive 115

Grooper

OCTOBER 23, 2019

And sometimes with an almost fiendish desire for optimization. What to expect in this article: How enterprise information management is the surest path for making data a key asset for business growth and innovation. Responsibility for managing your company’s data must be clearly defined and supported. Governance. Infrastructure.

Metrics 59

Metrics Measurement Strategy Optimization 59