IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. Product development : Generative AI is increasingly utilized by product designers for optimizing design concepts on a large scale. Generative AI-powered tools can significantly improve employee-manager interactions.

Enterprise 120

Enterprise Modeling Testing Data-driven 120

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 91

Software Technology Consulting Forecasting 91

FineReport

APRIL 9, 2024

Through interactive dashboards , these tools empower users across various departments to access and interpret data effectively. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

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

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 55

Management Cost-Benefit Metrics Consulting 55

CIO Business Intelligence

JULY 13, 2022

Pick up strategies for a creating a world-class cybersecurity center during an interactive workshop with Kathryn Knerler, MITRE Labs department manager and senior principal cybersecurity architect, and Ingrid Parker, manager of intelligence at Red Canary. Check out the full summit agenda here. Don’t miss out – register today.

Strategy 110

Strategy Metrics Risk Risk Management 110

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 132

IoT Internet of Things Cost-Benefit Consulting 132

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

Cloudera

NOVEMBER 30, 2023

From the pioneering research of English mathematician and logician Alan Turing to the recent breakthroughs achieved by models like GPT-3/GPT-4, AI has undeniably transformed industries and revolutionized human-computer interactions.

Risk Management 78

Risk Management Risk Strategy Modeling 78

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 54

Insurance Digital Transformation Risk Management Interactive 54

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 85

Marketing Analytics Visualization Strategy 85

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

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 96

Unstructured Data Cost-Benefit Risk Data-driven 96

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 72

Risk Modeling Management Metadata 72

CIO Business Intelligence

APRIL 12, 2022

This takes the sensors closer to the actual goods and improves the quality and adds to the total amount of data, which ultimately enables everyone in the supply chain to make better decisions, so waste is reduced and processes are optimized.”. Traditional supply chain analytics and decision-making focused on risk avoidance and control.

IoT 100

IoT Analytics Manufacturing Cost-Benefit 100

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 217

Machine Learning Risk Management Statistics 217

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 118

Digital Transformation Strategy Technology Enterprise 118

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

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

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 56

Metadata Machine Learning Data-driven Modeling 56

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 74

Finance KPI Risk IoT 74

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 96

Risk Marketing Risk Management Data-driven 96

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

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 115

Behavioral Analytics Risk Machine Learning Interactive 115

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

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.

Technology 140

Technology Enterprise Consulting Software 140

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 129

IT Digital Transformation Consulting Technology 129

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

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 71

Prescriptive Analytics Technology Machine Learning Risk 71

Jet Global

MAY 9, 2024

Here’s how a streaming data pipeline typically works: Data is ingested continuously from one or more sources, such as sensors, log files, user interactions, IoT devices, social media feeds, or other real-time data streams. By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

AWS Big Data

AUGUST 14, 2023

Earlier in their lifecycle, data products may be measured by alternative metrics, including adoption (number of consumers) and level of activity (releases, interaction with consumers, and so on). The following considerations relate to screening, data product analysis, and optimal portfolio selection.

Management 81

Management Risk Measurement Optimization 81

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

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

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

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 B2B Digital Transformation Insurance 98