Smart Data Collective

SEPTEMBER 28, 2021

Various firms are using machine-to-machine interaction to identify inbound attacks and send out automatic answers to cybercriminals. There are IoT solutions that can assist them in collecting data and performing analytics for inventory management. l Improved Risk Management. l Successful Execution of Business Analysis.

IoT 133

IoT Internet of Things Cost-Benefit Consulting 133

Ontotext

APRIL 6, 2023

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. Logistics & Supply Chain Two other industries where knowledge graphs are hitting the mark are logistics and supply chain management.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

IBM Big Data Hub

DECEMBER 4, 2023

This approach can accelerate speed-to-market by providing enhanced capabilities for developing innovative products and services, facilitating business growth and improving the overall customer experience in their interactions with the company.

Insurance 56

Insurance Digital Transformation Risk Management Interactive 56

CIO Business Intelligence

SEPTEMBER 7, 2023

The second challenge is managing new risks, which stem primarily from the threat of misinformation. Since the consequence of failure is high, the defense industry must strike a deft balance between innovation and risk management.

Unstructured Data 103

Unstructured Data Cost-Benefit Risk Data-driven 103

bridgei2i

MAY 17, 2021

It helps to legitimize a new customer applying for credit, select the right credit product, and optimize a credit check. The AI-backed interface enables the lender to ensure if the applicants are at high default risks. AI And Risk Management. AI And Process Automation.

Finance 52

Finance Risk Management Unstructured Data Cost-Benefit 52

IBM Big Data Hub

OCTOBER 16, 2023

It encompasses risk management and regulatory compliance and guides how AI is managed within an organization. They are used in everything from robotics to tools that reason and interact with humans. Software automation helps mitigate risk, manage the requirements of regulatory frameworks and address ethical concerns.

Risk 77

Risk Modeling Management Metadata 77

erwin

SEPTEMBER 3, 2020

You can collect complete application ecosystem information; objectively identify connections/interfaces between applications, using data; provide accurate compliance assessments; and quickly identify security risks and other issues. Automating Data Governance and Enterprise Architecture. You can start a free trial of erwin Evolve here.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

O'Reilly on Data

NOVEMBER 13, 2018

There are also many important considerations that go beyond optimizing a statistical or quantitative metric. As we deploy ML in many real-world contexts, optimizing statistical or business metics alone will not suffice. David Talby summarized some of these key challenges in a recent post : Your models may start degrading in accuracy.

Machine Learning 220

Machine Learning Risk Management Statistics 220

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. The solution also reduces incident response times, optimizes processes and streamlines asset management.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. You can improve collaboration, compare model predictions, quantify model risk and optimize model performance, identify and mitigate bias, reduce risks like drift and decrease the need for model retraining.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

CIO Business Intelligence

MARCH 21, 2022

Now, fresh off a pandemic-fueled cycle of accelerated innovation, Holcombe is channeling his vaunted sales skills to drive an upcoming IT agenda centered on foundational areas like optimization, security, and enterprise resiliency. Jamie Holcombe U.S. Source: State of the CIO, 2022. Credit: CIO.

IT 131

IT Digital Transformation Consulting Technology 131

Cloudera

AUGUST 25, 2020

For example, using this information one can evaluate whether something has a set of potential tail risk scenarios that can be catastrophic to the institution or economy, or whether it poses no risk at all. In the ABM framework, these heterogeneous agents interact with other agents within a network structure (eg.,

Prescriptive Analytics 70

Prescriptive Analytics Technology Machine Learning Risk 70

Sisense

SEPTEMBER 3, 2020

ROI (return on investment) is also a key concern, as business analysts apply their data-related activities to finance, marketing, and risk management, for instance. See an example: Explore Dashboard. Business analysts may work together with data scientists and data analysts in areas such as metric definition and database design.

Statistics 97

Statistics Metrics Visualization Finance 97

bridgei2i

MAY 20, 2020

In this model, understanding the customer, knowing their needs, recommending to them, understanding their anxiety—all of this happens to be data which used to happen earlier through face-to-face interaction. Also, if you think of big ticket, B2C businesses like wealth management, advisory firms; they are also moving to more digital processes.

Enterprise 98

Enterprise Digital Transformation B2B Insurance 98

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

CIO Business Intelligence

DECEMBER 21, 2023

In processing the transaction, the cardholder data traverses through many different layers of IT infrastructure, such as the point of interaction (POI) devices, computers, switches, routers, firewalls, etc. This update insinuates that the PCI SSC will be placing greater emphasis on vendor risk management when PCI DSS v4.0

Measurement 52

Measurement Risk Management Risk Management 52

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. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

Octopai

FEBRUARY 21, 2022

But since lucky stars are generally frowned upon as a risk management strategy, we highly recommend you plan out your cloud migration process. An important stage of this local-level planning is constructing a map of your current data environment and data flow – and then optimizing it. 1) Plan it out.

Recreation/Entertainment 78

Recreation/Entertainment Cost-Benefit ROI Reporting 78

bridgei2i

MAY 4, 2020

Risk management, of course, is more relevant than ever, monitoring exposure to internal and external signals now. Every aspect of life. Cash Flow Planning—It’s all about cash. This would be intelligent automation, automating decisions, alerting on stresses. SERIES: COVID 19 | Redefining Digital Enterprises.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

Smart Data Collective

AUGUST 30, 2023

One of the benefits is by making DevOps easier to optimize. Consultancies are rapidly realizing it’s time to ditch the spreadsheets and start integrating key project and resource management workflows in a Professional Services Automation (PSA) system,” said Jon Stead, Chief Strategy Officer, CMap.

Software 93

Software Technology Consulting Forecasting 93

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. Business process management examples BPM can help improve overall business operations by optimizing various business processes.

Management 59

Management Cost-Benefit Metrics Consulting 59

John Wheeler

MARCH 30, 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. These efforts demonstrate the rising need for an integrated approach to risk management and highlight the following four IRM market trends.

Marketing 59

Marketing Risk Management Risk Digital Transformation 59

CIO Business Intelligence

MARCH 22, 2022

He brings expertise in developing IT strategy, digital transformation, AI engineering, process optimization and operations. At Fractal, Tiwari will be responsible for the company’s digital transformation and overseeing IT operations, cybersecurity, and risk management. . December 2021. He will be based in Gurugram.

Internet Publishing and Broadcasting 98

Internet Publishing and Broadcasting Digital Transformation Insurance Recreation/Entertainment 98

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. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 82

Marketing Analytics Visualization Strategy 82

Cloudera

MAY 18, 2021

These interactions are captured and the resulting synthetic data sets can be analysed for a number of applications, such as training models to detect emergent fraudulent behavior, or exploring “what-if” scenarios for risk management. Value-at-Risk (VaR) is a widely used metric in risk management.

Risk 94

Risk Marketing Risk Management Data-driven 94

DataRobot Blog

DECEMBER 20, 2022

In this context, an augmented intelligence approach around the data will be increasingly more critical for asset managers, investors, and real estate developers to ensure a better understanding of the real estate assets and take better decisions aimed at optimizing both the Net Asset Value and the Net Operating Income.

Management 59

Management Machine Learning Optimization Modeling 59

DataRobot Blog

JULY 21, 2022

Document assumptions and risks to develop a risk management strategy. Discuss how the stakeholders want to interact with the machine learning model after it is built. Collaborate in a unified environment built for continuous optimization across the entire machine learning lifecycle — from data to value.

Machine Learning 98

Machine Learning Metrics Modeling Testing 98

Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. As you can see in the screenshot below, such an advanced search can match the optimal investment target. This makes it easier to manage and update information as the industry changes.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Corinium

APRIL 25, 2019

All assets need to be optimally leveraged for maximum business value while also being protected from misuse, whether there was malicious intent or not, and this needs to be the responsibility of whomever is responsible for that asset in the company. You can protect individual fields, or even subsets of fields (e.g.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

Jet Global

NOVEMBER 12, 2020

Companies use ERP software to manage a wide range of business processes within a single, comprehensive system, beginning with core financial capabilities such as managing accounts payable, accounts receivable, and general ledger. Risk and Compliance Is a Perpetual Worry. Challenge #3. Inefficiency Drains Profitability.

Software 52

Software Sales Risk Management 52

Smart Data Collective

FEBRUARY 20, 2022

The first step in building these defenses is to understand how users, administrators, or applications interact with a database. Before dwelling on the functionality of DAM solutions, let’s touch upon how they interact with databases that come with tools of their own for access auditing. DAM features.

Behavioral Analytics 117

Behavioral Analytics Risk Machine Learning Interactive 117

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. How regulatory requirements interact.

Finance 79

Finance KPI Risk IoT 79

Domino Data Lab

FEBRUARY 4, 2019

Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence). Interactive media plays a much larger role in our work than merely the presentations or blog posts.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

Grooper

OCTOBER 23, 2019

I get to interact with a lot of companies who are on the leading edge of brilliant use-cases for innovating processes and workflows with data. And sometimes with an almost fiendish desire for optimization. Responsibility for managing your company’s data must be clearly defined and supported. And they simply execute better.

Metrics 59

Metrics Measurement Strategy Optimization 59

datapine

FEBRUARY 22, 2022

Improved risk management: Another great benefit from implementing a strategy for BI is risk management. Rely on interactive data visualizations. For instance, BI dashboard software such as datapine offers the possibility to generate interactive dashboards in real-time without the need for any technical knowledge.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

Cloudera

DECEMBER 14, 2022

OCBC Bank optimizes customer experience & risk management with multi-phased data initiative. The company recently migrated to Cloudera Data Platform (CDP ) and CDP Machine Learning to power a number of solutions that have increased operational efficiency, enabled new revenue streams and improved risk management.

Data Strategy 77

Data Strategy Strategy IT Contextual Data 77

CIO Business Intelligence

APRIL 15, 2024

A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens. Foundry / CIO.com In addition to optimization and innovation work, cyber security remains a top concern.

Digital Transformation 123

Digital Transformation Strategy Technology Enterprise 123