Cloudera

JULY 15, 2021

For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. . Attendees included senior risk managers and analytics experts from financial institutions and insurance companies.

Risk 99

Risk Optimization Management Insurance 99

CIO Business Intelligence

MAY 20, 2024

Artificial intelligence and machine learning Unsurprisingly, AI and machine learning top the list of initiatives CIOs expect their involvement to increase in the coming year, with 80% of respondents to the State of the CIO survey saying so. Risk management came in at No. Foundry / CIO.com 3. For Rev.io

IT 133

IT Risk Management Machine Learning Risk 133

CIO Business Intelligence

JANUARY 18, 2024

Half of CEOs say their organization is at least somewhat unprepared for AI and machine learning (ML) adoption, according to Workday’s C-Suite Global AI Indicator Report. 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

Finance 111

Finance Machine Learning Risk Management Optimization 111

CIO Business Intelligence

DECEMBER 14, 2023

The timing for these advancements is optimal as the industry grapples with skilled labor shortages, supply chain challenges, and a highly competitive global marketplace. Process optimization In manufacturing, process optimization that maximizes quality, efficiency, and cost-savings is an ever-present goal.

Manufacturing 124

Manufacturing Cost-Benefit Unstructured Data Optimization 124

Cloudera

APRIL 18, 2024

In the financial sector, regulations are essential for financial institutions to maintain stability by preventing excessive risk-taking, ensuring adequate capitalization and reducing the likelihood of failures or financial crises.

Risk Management 76

Risk Management Risk Testing Management 76

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 87

Management Internet of Things Risk IoT 87

DataRobot Blog

DECEMBER 6, 2022

Savvy data scientists are already applying artificial intelligence and machine learning to accelerate the scope and scale of data-driven decisions in strategic organizations. Taking a Multi-Tiered Approach to Model Risk Management. Learn more artificial intelligence and machine learning tips on the DataRobot blog.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

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. Equally important, a CAIO should have knowledge of risk management principles and regulatory compliance requirements related to AI.

Risk Management 129

Risk Management Risk Cost-Benefit Technology 129

Cloudera

JUNE 29, 2023

Implementing a modern data architecture makes it possible for financial institutions to break down legacy data silos, simplifying data management, governance, and integration — and driving down costs. However, because most institutions lack a modern data architecture , they struggle to manage, integrate and analyze financial data at pace.

Data Architecture 84

Data Architecture Risk Management Risk Management 84

CIO Business Intelligence

DECEMBER 19, 2023

This year’s technology darling and other machine learning investments have already impacted digital transformation strategies in 2023 , and boards will expect CIOs to update their AI transformation strategies frequently. CIOs should look for other operational and risk management practices to complement transformation programs.

Digital Transformation 136

Digital Transformation Unstructured Data Machine Learning Risk Management 136

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 79

Data Strategy Strategy IT Contextual Data 79

CIO Business Intelligence

NOVEMBER 3, 2023

For example, AI can quickly answer: what is the best strategy for optimizing savings in a rising market for a particular category? When in the thick of running a complex RFP, we might ask what combinations of suppliers give the best savings and lowest risk,” says Blake. Learn more here.

Digital Transformation 121

Digital Transformation Risk Management Risk Machine Learning 121

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 72

Manufacturing Business Objectives Optimization Risk Management 72

O'Reilly on Data

JULY 15, 2019

As companies use machine learning (ML) and AI technologies across a broader suite of products and services, it’s clear that new tools, best practices, and new organizational structures will be needed. Note that the emphasis of SR 11-7 is on risk management.). Sources of model risk. Model risk management.

Machine Learning 37

Machine Learning Management Enterprise Risk Management 37

IBM Big Data Hub

MAY 14, 2024

But do not allow the caution and critical perspective of your inner social change agent to extinguish the optimism of your inner technologist. Be guided by the seventh generation principle , but do not succumb to long term existential risk arguments at the expense of clear and present harms. “Create trustworthy AI development.”

Risk 84

Risk Risk Management Measurement Strategy 84

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 70

IT Machine Learning Risk Optimization 70

DataRobot Blog

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Risk 64

Risk Modeling Machine Learning Data Quality 64

IBM Big Data Hub

FEBRUARY 19, 2024

Effective SCM initiatives offer several benefits: Lower operational costs : By optimizing inventory levels , improving warehousing efficiency and streamlining order fulfillment processes, companies can save on storage, labor and transportation expenses.

Strategy 82

Strategy Management Forecasting Cost-Benefit 82

Cloudera

FEBRUARY 4, 2021

Cloudera comprehensively supports the demanding risk and compliance requirements of financial services and insurance organizations globally and it is an honor to receive this recognition. Supporting the industry’s risk data depository and data management needs. Risk management and models in a COVID-19 world.

Risk 88

Risk Marketing Technology Management 88

Smart Data Collective

DECEMBER 9, 2021

The advent of AI, machine learning, big data, and blockchain technology are already transforming how many businesses handle their daily operations. AI and Machine Learning. AI and machine learning are poised to play a major part in the future of several industries.

Technology 122

Technology Big Data Machine Learning Deep Learning 122

CIO Business Intelligence

JANUARY 22, 2024

trillion by 2025, as cyber risk management has not kept up with digital transformation posing serious risks to organizations’ security and revenue. As a result, companies find it increasingly difficult to manage their attack surface at the speed and scale necessary to prevent attacks.

Digital Transformation 111

Digital Transformation Risk Cost-Benefit Risk Management 111

IBM Big Data Hub

MAY 17, 2024

Use case 1: AI for modernization and business model expansion AI-powered tools can be incredibly valuable in optimizing and modernizing business operations throughout the customer journey, but it is critical in the commerce continuum. This content includes product descriptions, images, videos and even interactive experiences.

B2B 65

B2B Interactive Optimization Forecasting 65

IBM Big Data Hub

OCTOBER 16, 2023

An AI governance framework ensures the ethical, responsible and transparent use of AI and machine learning (ML). It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

Risk 71

Risk Modeling Management Metadata 71

CIO Business Intelligence

SEPTEMBER 2, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

CIO Business Intelligence

AUGUST 31, 2022

In-demand skills for the role include programming languages such as Scala, Python, open-source RDBMS, NoSQL, as well as skills involving machine learning, data engineering, distributed microservices, and full stack systems. Back-end software engineer.

Finance 98

Finance IT Software Reporting 98

DataRobot Blog

JUNE 1, 2022

As a partner of the McLaren Formula 1 Team , DataRobot is excited to share an exclusive view of how McLaren uses machine learning and AI. Learn how the McLaren Formula 1 Team is delivering AI-powered predictions and insights to maximize performance and optimize simulations. New DataRobot AI Cloud Product Announcements.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

DataRobot Blog

SEPTEMBER 13, 2022

The future of business depends on artificial intelligence and machine learning. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. If your business operates at this level, it’s likely that you still need to optimize your limited workforce.

Forecasting 52

Forecasting Data-driven Machine Learning Optimization 52

IBM Big Data Hub

FEBRUARY 13, 2024

Like diligent students, these generative models soak up information and identify patterns, structures and relationships between data points, which is how they learn the grammar of poetry, artistic brushstrokes and musical melodies. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 119

Enterprise Modeling Testing Data-driven 119

IBM Big Data Hub

JANUARY 30, 2024

Increasingly, enterprise organizations are adopting a multicloud approach—the use of cloud services from more than one cloud vendor—to optimize performance, control costs and prevent vendor lock-in. to total $678.8 billion in 2024, up from $563.6 billion in 2023. Zero trust requires a wide range of security capabilities.

Strategy 93

Strategy Cost-Benefit Risk Optimization 93

CIO Business Intelligence

JANUARY 26, 2023

AppDynamics also offers a proprietary machine learning engine to turn historical data into a plan for efficient deployment. Densify’s optimizers focus on cloud resources such as instances, Kubernetes clusters, and VMware machines. Densify suggests this approach improves scaling by 30%.

Management 113

Management Forecasting Dashboards Optimization 113

Cloudera

SEPTEMBER 29, 2021

However, with the COVID-19 pandemic placing extreme pressure on governments to deliver accessible and efficient services while ensuring optimal user experience, going digital is now a necessity and not a luxury. The Singapore Health Services (SingHealth) has also used data to optimize operations during the pandemic.

Digital Transformation 81

Digital Transformation Data Governance Data-driven Uncertainty 81

FineReport

APRIL 9, 2024

These benefits include enhanced operational efficiency through streamlined processes and optimized resource allocation. The integration of AI and machine learning into BI tools is revolutionizing the processing and analysis of data, propelling organizations toward more accurate forecasting and proactive decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

IBM Big Data Hub

DECEMBER 14, 2023

By understanding the organization’s unique risk landscape, IBM helps develop a strategic roadmap that aligns cybersecurity investments with business objectives, ensuring optimal protection while optimizing resources. IBM emphasizes the importance of continuous monitoring and learning.

Risk 79

Risk Measurement Business Objectives Optimization 79

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

Cloudera

JULY 29, 2022

They can outperform competitors by applying machine learning and artificial intelligence to understand and optimize the customer experience while aiding service assurance. When it comes to FSI, one of the key findings from the report is the importance of risk management and regulatory compliance when it comes to data management.

Data Architecture 86

Data Architecture Data Strategy Risk Management Strategy 86

Jet Global

MAY 9, 2024

Machine Learning Pipelines : These pipelines support the entire lifecycle of a machine learning model, including data ingestion , data preprocessing, model training, evaluation, and deployment. For example, migrating customer data from an on-premises database to a cloud-based CRM system. What is an ETL pipeline?

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

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