Cloudera

OCTOBER 20, 2021

Firms face critical questions related to these disclosures and how climate risk will affect their institutions. What are the key climate risk measurements and impacts? How do institutions protect and optimize their balance sheets and portfolios? Transition : the changes in asset values, business models, etc. (ex.

Risk 83

Risk Modeling Risk Management Measurement 83

CIO Business Intelligence

JUNE 23, 2023

Respondents were asked about their current IT stressors, their approach to modernizing their IT infrastructure, and how they plan to become more efficient and optimized in the years ahead. It helps reduce risk, increase efficiency, optimize resources, and improve both the customer and employee experience.

IT 98

IT Risk Management Risk Optimization 98

IBM Big Data Hub

APRIL 19, 2024

Mobile-connected technicians experience improved safety through measures such as access control, gas detection, warning messages or fall recognition, which reduces risk exposure and enhances operational risk management (ORM) during work execution. Risk-based asset strategies align maintenance efforts to balance costs and risks.

Management 88

Management Internet of Things Risk IoT 88

Smart Data Collective

JULY 16, 2023

According to a report by Dataversity , a growing number of hedge funds are utilizing data analytics to optimize their rick profiles and increase their ROI. The Imperative of Risk Mitigation A crucial element in the world of financial investments is effective hedge fund management.

ROI 71

ROI Data Analytics Analytics Risk Management 71

CIO Business Intelligence

MAY 9, 2024

At a high level, a CAIO will need to understand the business well enough to identify where AI can make an impact, whether through new value streams or optimization, Daly says. And they must develop and upskill talent to ensure the workforce is well-versed in the innovation and risk associated with AI use.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

CIO Business Intelligence

JANUARY 18, 2024

This level of optimism in the face of massive disruptive change may spring from common attributes that make decision-makers true leaders: vision and adaptability. “As Optimism aside, the true test is in how well organizations will master the changes to the nature of work that AI enables. As you learn, you adjust.

Finance 126

Finance Machine Learning Risk Management Optimization 126

CIO Business Intelligence

DECEMBER 28, 2023

As a result, managing risks and ensuring compliance to rules and regulations along with the governing mechanisms that guide and guard the organization on its mission have morphed from siloed duties to a collective discipline called GRC. These executive lead risk or compliance departments with dedicated teams. What is GRC?

Risk 115

Risk Risk Management Strategy Enterprise 115

DataRobot Blog

DECEMBER 6, 2022

Other organizations are just discovering how to apply AI to accelerate experimentation time frames and find the best models to produce results. Taking a Multi-Tiered Approach to Model Risk Management. How Model Observability Provides a 360° View of Models in Production. Read the blog. Read the blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

IBM Big Data Hub

FEBRUARY 13, 2024

This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Generative adversarial networks (GANs) or variational autoencoders (VAEs) are used for images, videos, 3D models and music. Autoregressive models or large language models (LLMs) are used for text and language.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

CIO Business Intelligence

DECEMBER 19, 2023

Many technology investments are merely transitionary, taking something done today and upgrading it to a better capability without necessarily transforming the business or operating model. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

Cloudera

FEBRUARY 4, 2021

Financial services institutions need the ability to analyze and act on massive volumes of data from diverse sources in order to monitor, model, and manage risk across the enterprise. They need a comprehensive data and analytics platform to model risk exposures on-demand. Cloudera is that platform.

Risk 90

Risk Marketing Technology Management 90

IBM Big Data Hub

MAY 17, 2024

Poorly run implementations of traditional or generative AI in commerce—such as models trained on inadequate or inappropriate data—lead to bad experiences that alienate consumers and businesses. AI models analyze vast amounts of data quickly and accurately.

B2B 66

B2B Interactive Optimization Forecasting 66

Laminar Security

DECEMBER 22, 2023

The cost of cloud storage: breaking down the numbers Cloud storage operates on a pay-as-you-use model, which appears cost-effective at first glance. However, when businesses fail to monitor and manage their data effectively, costs can escalate quickly. Data Access Governance (DAG) is pivotal for storage optimization.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

IBM Big Data Hub

OCTOBER 4, 2022

Manual processes that introduce risk and make it hard to scale. Multiple unsupported tools for building and deploying models. Platforms and practices not optimized for AI. Challenges around managing risk. This includes capturing of the metadata, tracking provenance and documenting the model lifecycle.

Metadata 98

Metadata Risk Risk Management Experimentation 98

IBM Big Data Hub

JANUARY 30, 2024

Finance: Optimized for high-speed transactions and can assist in providing robust security, harnessing AI for fraud detection and real-time risk management. Retail: Manage e-commerce platforms, customer data analytics and supply chain logistics, where data analysis often must occur at the edge.

Manufacturing 73

Manufacturing Business Objectives Optimization Risk Management 73

CIO Business Intelligence

AUGUST 23, 2023

Optimization problems, for which a whole chorus of variables must be fine-tuned and modulated, routinely plague financial firms, especially when it comes to highly engineered financial products such as those developed through quantitative analysis. If there’s an industry steeped in computations, it’s the financial services sector.

IT 97

IT Machine Learning Risk Optimization 97

Smart Data Collective

SEPTEMBER 17, 2020

Financial and banking industries worldwide are now exploring new and intriguing techniques through which they can smoothly incorporate big data analytics in their systems for optimal results. Here are a few of the advantages of Big Data in the banking and financial industry: Improvement in risk management operations.

Big Data 141

Big Data Finance Risk Management Risk 141

O'Reilly on Data

NOVEMBER 13, 2018

Considerations for a world where ML models are becoming mission critical. As the data community begins to deploy more machine learning (ML) models, I wanted to review some important considerations. Before I continue, it’s important to emphasize that machine learning is much more than building models. Model lifecycle management.

Machine Learning 217

Machine Learning Risk Management Statistics 217

Ontotext

APRIL 6, 2023

Knowledge graphs are changing the game A knowledge graph is a data model that uses semantics to represent real-world entities and the relationships between them. This model is used in various industries to enable seamless data integration, unification, analysis and sharing. standards modeled in a knowledge graph!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

CIO Business Intelligence

SEPTEMBER 7, 2023

That’s why, around the world, governments and the defense industry as a whole are now investing and exploring generative artificial intelligence (AI), or large language models (LLMs), to better understand what’s possible. The second challenge is managing new risks, which stem primarily from the threat of misinformation.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Data-driven 119

FineReport

APRIL 9, 2024

From advanced analytics to predictive modeling, the evolving landscape of business intelligence is revolutionizing how data is processed and leveraged for actionable insights. These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 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

MAY 9, 2023

According to Gartner , 54% of models are stuck in pre-production because there is not an automated process to manage these pipelines and there is a need to ensure the AI models can be trusted. This solution is designed to include everything needed to develop a consistent transparent model management process.

Metadata 72

Metadata Risk Experimentation Dashboards 72

John Wheeler

OCTOBER 21, 2019

A balanced view of digital risk through integrated risk management (IRM) is required to reach what Gartner calls the new “techquilibrium” You might ask, what is techquilibrium? Digital Risk Management – Gartner.

Risk 53

Risk Risk Management Digital Transformation Insurance 53

erwin

OCTOBER 17, 2019

At erwin, we’re definitely witnessing this EA evolution as more and more as organizations undertake digital transformation initiatives, including rearchitecting their business models and value streams, as well as responding to increasing regulatory pressures. The Regulatory Rationale for Integrating Data Management & Data Governance.

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. Predictive Analytics can help businesses in reducing risk (eg. Credit Risk Analysis) maximizing opportunities (predicting Customer LifeTime Value) and improving operational efficiencies (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

Smart Data Collective

JUNE 23, 2022

It’s important to know that analytics is integral to every facet of car production, not only in supply chain optimization (more on that later). A typical car needs an estimated 30,000 individual components (the exact number may vary depending on the make and model). Risk Management. The Fundamentals.

Analytics 120

Analytics Manufacturing Internet of Things Risk 120

CIO Business Intelligence

JULY 13, 2022

The event kicks off with a conversation with Blackstone CSO Adam Fletcher on confronting assumptions about SaaS security and adopting a shared responsibility model. Wrapping up the day, CN Assistant Vice-President and CISO Vaughn Hazen will share how to optimize investments in information security and the best ways to mitigate risk.

Strategy 124

Strategy Metrics Risk Risk Management 124

BizAcuity

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. Predictive Analytics can help businesses in reducing risk (eg. Credit Risk Analysis) maximizing opportunities (predicting Customer LifeTime Value) and improving operational efficiencies (eg. These include-.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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. We are now starting collaborations with a few insurance companies to incorporate foundation models and prompt tuning to enhance agent assistance capabilities.

Insurance 55

Insurance Digital Transformation Risk Management Interactive 55

CIO Business Intelligence

DECEMBER 29, 2023

As GlobalLogic’s Azadeh gets ready to determine her 2024 budget and digital transformation priorities, she’s also focusing on developing a strategy to serve to evolve business models, enable the business to operate more efficiently, and mitigate AI-related risks.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

IBM Big Data Hub

JUNE 29, 2023

For example, the sales department might develop a plan to enter new markets or launch new products, while the supply chain department focuses on inventory optimization and ensuring efficient logistics. Optimal resource allocation Integrated Business Planning enables organizations to optimize resource allocation across different functions.

Key Performance Indicator 76

Key Performance Indicator Forecasting Data Integration Sales 76

FineReport

MARCH 24, 2024

Data analysts leverage four key types of analytics in their work: Prescriptive analytics: Advising on optimal actions in specific scenarios. Data Analyst Job Description: Major Tasks and Duties Data analysts collaborate with management to prioritize information needs, collect and interpret business-critical data, and report findings.

Statistics 52

Statistics Data mining Visualization Reporting 52

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.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

CIO Business Intelligence

SEPTEMBER 2, 2022

Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions. You’ll need knowledge of natural language processing (NLP), machine learning, managing complex data infrastructures, and analytics for the role.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

Back-end software engineers are responsible for maintaining the structure of server-side information by optimizing servers, implementing security measures, and developing data storage solutions. You’ll need knowledge of natural language processing (NLP), machine learning, managing complex data infrastructures, and analytics for the role.

Finance 98

Finance IT Software Reporting 98

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.

Risk Management 118

Risk Management Risk Management Digital Transformation 118