John Wheeler

MARCH 6, 2019

It has been 5 years since Gartner embarked on the journey to enhance our coverage of the risk management technology marketplace. That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks.

Risk Management 77

Risk Management Risk Data-driven Marketing 77

John Wheeler

JULY 15, 2019

Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. It’s here where we receive direct feedback from both technology providers as well as end-users on emerging trends and technologies for security and risk management.

Risk Management 60

Risk Management Risk Forecasting Management 60

IBM Big Data Hub

FEBRUARY 28, 2024

Successful strategic sourcing often results in process optimization, cost management, customer satisfaction, risk management , increased sustainability and other benefits. Blockchain Information is an invaluable business asset. In sourcing strategy, blockchain technology helps track orders, payments, accounts and more.

Strategy 95

Strategy Technology Cost-Benefit Risk Management 95

CIO Business Intelligence

MAY 9, 2022

Holistic, multi-dimensional collaboration delivers the highest total value, considering cost, speed, risk, quality, and overall customer experience. It includes order collaboration, forecast, capacity, inventory, quality, and cost collaboration with suppliers. Better risk management and control.

Cost-Benefit 79

Cost-Benefit Forecasting Risk Management Risk 79

IBM Big Data Hub

MAY 17, 2024

They can provide valuable insights and forecasts to inform organizational decision-making in omnichannel commerce, enabling businesses to make more informed and data-driven decisions. Meanwhile, 43% are using the technology to inform strategic decisions. AI models analyze vast amounts of data quickly and accurately.

B2B 64

B2B Interactive Optimization Forecasting 64

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. While advanced models can handle diverse data types, some excel at specific tasks, like text generation, information summary or image creation.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 130

IT Risk Cost-Benefit Risk Management 130

AWS Big Data

FEBRUARY 13, 2023

As trusted advisors to card networks and Fortune 500 companies, we are known for our expertise in the areas of transaction risk management, chargeback mitigation, fraud prevention, and dispute intelligence. To date, we have helped businesses worldwide recover over $2 billion in lost revenue.

Dashboards 52

Dashboards Risk Management Forecasting Risk 52

IBM Big Data Hub

FEBRUARY 13, 2024

The IBM Supply Chain Intelligence Suite , powered by artificial intelligence (AI) and blockchain, helps compile supplier data to drive Scope 3 accuracy, improve circularity by reducing waste and inform end consumers of carbon and other ESG impacts. This technology can also help reduce the risk of regulatory non-compliance.

Cost-Benefit 78

Cost-Benefit Scorecard Risk Recreation/Entertainment 78

datapine

MARCH 31, 2022

Does the idea of discovering patterns in large volumes of information make you want to roll up your sleeves and get to work? Moreover, companies that use BI analytics are five times more likely to make swifter, more informed decisions. Do you find computer science and its applications within the business world more than interesting?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Jet Global

MAY 11, 2021

May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support. Visit insightsoftware.com for more information. RALEIGH, N.C. –

Finance 98

Finance Technology Forecasting Uncertainty 98

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

CIO Business Intelligence

MARCH 14, 2024

“MBA programs can also help leaders hone their communication and negotiation skills while also improving their understanding of organizational behavior, strategic planning, and risk management through exposure to experienced peers and varied coursework,” Bhargava explains. Knowledge, after all, is power.

IT 119

IT Strategy Digital Transformation Risk Management 119

CIO Business Intelligence

OCTOBER 3, 2023

Another research company, Mordor Intelligence, is forecasting annual CAGR of 19.8 They enable greater efficiency and accuracy and error reduction, better decision making, better compliance and risk management, process optimisation and greater agility. Gartner sees these inhibitors driving an annual 11.9 trillion by 2026.

Cost-Benefit 110

Cost-Benefit Machine Learning Interactive Software 110

IBM Big Data Hub

JULY 27, 2023

The following are some of the most impactful ways oil and gas is embracing EAM as an asset management strategy: Asset lifecycle management : Oil and gas assets are intricate, costly and have lengthy lifecycles. Cost control and budgeting : EAM systems provide valuable insights into asset performance as it relates to maintenance costs.

Cost-Benefit 56

Cost-Benefit IoT Internet of Things Enterprise 56

bridgei2i

MAY 17, 2021

The AI-backed interface enables the lender to ensure if the applicants are at high default risks. AI And Risk Management. AI can conduct in-depth analysis, generate reports, and simulate investment scenarios to identify the risks in the system. It allows traders to establish specific rules for trade entries and exits.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52

Jet Global

AUGUST 20, 2019

The key to achieving stability and predictability is to have the right processes and technology in place to help you manage and forecast your cash flow. A cash flow statement is an essential tool used to manage cash flow that includes information from operations, investing, and financing. Intelligent Forecasting.

Forecasting 68

Forecasting Business Intelligence Reporting Software 68

CIO Business Intelligence

JANUARY 24, 2024

Targets for investment The team is investing in analytics and AI with large language mode experiments to help project teams find relevant information to perform well in their roles. “In In construction, our teams are managing the construction of hundreds of projects happening at any one time,” she says.

Risk Management 100

Risk Management Risk Management Digital Transformation 100

IBM Big Data Hub

MARCH 4, 2024

Adopting an open technologies-based hybrid cloud platform enables an AI+ enterprise to make informed decisions without limiting its business.

Enterprise 96

Enterprise ROI Risk Strategy 96

Smarten

MAY 17, 2019

There is a lot of information within your enterprise, and being able to analyze that information is crucial to decision-making and to managing your business and predicting results with efficiency and accuracy.

Predictive Analytics 58

Predictive Analytics Analytics Predictive Modeling Risk Management 58

O'Reilly on Data

JANUARY 22, 2019

They trade the markets using quantitative models based on non-financial theories such as information theory, data science, and machine learning. Errors in model parameter estimates: Errors of this type may arise because market participants have access to different levels of information with varying speeds of delivery.

Modeling 136

Modeling Finance Uncertainty Data mining 136

erwin

APRIL 29, 2020

For example, the marketing department uses demographics and customer behavior to forecast sales. For example, capital markets trading firms must understand their data’s origins and history to support risk management, data governance and reporting for various regulations such as BCBS 239 and MiFID II. Data Quality.

Metadata 111

Metadata Key Performance Indicator Data Governance Data Quality 111

FineReport

MARCH 24, 2024

In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making. Utilizing standard methods, they collect, analyze, and interpret data to provide valuable business information. Employs data analysts for risk management, customer analytics, and financial forecasting.

Statistics 52

Statistics Data mining Visualization Reporting 52

Ontotext

APRIL 6, 2023

By linking this data, they facilitate tasks like asset management, predictive maintenance, documentation management, mission planning, risk management, aircraft design and optimization, and anomaly detection. Organizations such as GS1 promote the use of standards such as barcodes, GS1 digital link and the GS1 vocabulary.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

IBM Big Data Hub

DECEMBER 13, 2023

Understand the organization’s needs—whether it’s increased sales, managing cash flow, shorter time-frames, improved forecasting, quality management or sustainability—and how they align with the overall business strategy and long-term plan.

Strategy 65

Strategy Cost-Benefit Key Performance Indicator Consulting 65

CIO Business Intelligence

DECEMBER 5, 2022

Quality management: Identify quality requirements. Human resource management: Plan and identify human resource needs. Communications management: Plan stakeholder communications. Risk management: Perform qualitative and quantitative risk analysis, plan risk mitigation strategies. Budget for surprises.

Management 130

Management Cost-Benefit Key Performance Indicator Software 130

Smart Data Collective

SEPTEMBER 25, 2019

Hackers know they can sell compromised information on the dark web or use it for purposes such as blackmail. It involves protecting information with cryptography via a scrambled code. For example, in the health care sector, patient privacy laws require keeping information encrypted. It Supports Data Integrity.

Technology 86

Technology Statistics Strategy Insurance 86

Alation

OCTOBER 26, 2021

These include missing out on new revenue opportunities, poorly forecasting performance, and making bad investments. And, by implementing continuous data reviews, finance teams better support compliance and risk management. Analyst productivity: With Alation, finance teams gain an end-to-end data management perspective.

Finance 52

Finance Data Transformation Enterprise Metrics 52

CIO Business Intelligence

DECEMBER 21, 2023

Understanding the PCI DSS Standard PCI DSS is an information security standard designed to ensure companies that process card payments maintain a secure IT environment for their customers. If the hackers can get a hold of these payment-capturing POI devices, they can potentially gain access to the customer’s entire payment information.

Measurement 52

Measurement Risk Management Risk Management 52

DataRobot Blog

JUNE 27, 2022

These observations would have spanned a distribution, which the model leveraged to make its forecasts. Combined with the Feature Drift plot on the left, these metrics are able to inform the modeler if there are any significant changes in the distribution of values in a live setting. . Conclusion.

Risk 59

Risk Modeling Metrics Measurement 59

CIO Business Intelligence

MARCH 22, 2022

He joins the Indian beverage company after a 17-year stint at Wockhardt where he was associate vice president of information technology head. Parab was a former CIO100 India winner and holds a doctorate in management. Before that, he was the chief information security advisor at Microsoft India. . August 2021.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Forecasting exchange rates, cryptocurrencies and market volatility: The price fluctuations in the cryptocurrency exchanges can be compared with the price fluctuations of the fiat currencies. Contact Us.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

bridgei2i

JULY 28, 2020

So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. In my company StatWeather we use this kind of data and data mining to forecast weather and climate patterns, which has been very successful.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

CIO Business Intelligence

JANUARY 26, 2023

Standout features: Carefully filtered data feeds extract the key details about spending to save time wading through too much information Automated alerts can stop runaway spending when it crosses thresholds CloudCheckr CloudCheckr focuses on controlling cloud costs and security. Newer AIOps can deliver artificial intelligence solutions too.

Management 116

Management Forecasting Dashboards Optimization 116

IBM Big Data Hub

JUNE 10, 2024

In addition, the high clock speeds achieved by CPUs make them perfectly suited to handle the type of rapid-fire scanning and retrieval of information that data analytics requires. Financial services Like data analytics, fintech companies depend on CPUs to enable the fast and efficient processing of huge amounts of financial-based information.

Manufacturing 58

Manufacturing Forecasting Data-driven Internet of Things 58

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Financial institutions use it to analyze scenarios, solve complex problems, forecast and make better decisions. Market participants respond in widely varying ways to the arrival of new information as transitions occur, often across an entire system.

Testing 95

Testing Management Risk Management Forecasting 95

DataRobot Blog

SEPTEMBER 13, 2022

Data scientists could be your key to unlocking the potential of the Information Revolution—but what do data scientists do? They develop and continuously optimize AI/ML models , collaborating with stakeholders across the enterprise to inform decisions that drive strategic business value. What Do Data Scientists Do? Operationalization.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52