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 220

Machine Learning Risk Management Statistics 220

Cloudera

MAY 30, 2024

In this context, Cloudera and TAI Solutions have partnered to help financial services customers accelerate their data-driven transformation, improve customer centricity, ensure compliance with regulations, enhance risk management, and drive innovation. Regulation and risk are a big focus for financial institutions.

Data Analytics 81

Data Analytics Risk Management Digital Transformation Analytics 81

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 89

Risk Marketing Technology Management 89

IBM Big Data Hub

MAY 1, 2024

Unlocking the full potential of supply chain management has long been a goal for businesses that seek efficiency, resilience and sustainability. In the age of digital transformation, the integration of advanced technologies like generative artificial intelligence brings a new era of innovation and optimization.

Forecasting 79

Forecasting Optimization Digital Transformation Risk 79

IBM Big Data Hub

APRIL 19, 2024

Asset management and technological innovation Advancements in technology underpin the need for holistic grid asset management, making the assets in the grid smarter and equipping the workforce with smart tools. Cybersecurity reduces risk exposure for cyberattacks on digitally connected assets.

Management 87

Management Internet of Things Risk IoT 87

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. Companies want candidates who can drive innovation, deliver meaningful business results, and work closely with other leaders to manage risks.

Risk Management 138

Risk Management Risk Cost-Benefit Technology 138

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

John Wheeler

OCTOBER 21, 2019

Over the past month, I’ve been speaking to various groups to help them prepare for the onslaught of digital risks in their organizations. A common theme is the need for greater risk quantification beyond the realm of traditional, qualitative governance, risk and compliance (GRC) approaches.

Risk 53

Risk Risk Management Digital Transformation Insurance 53

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

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

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 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

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 118

Enterprise Modeling Testing Data-driven 118

Laminar Security

DECEMBER 22, 2023

By using DSPM tools to pinpoint and remove ROT data, businesses can both reduce their storage needs and also streamline their operations while minimizing the risk of data breaches. Without proper management, the costs associated with storing unnecessary data can become a substantial financial burden.

Cost-Benefit 95

Cost-Benefit Risk Optimization Risk Management 95

IBM Big Data Hub

JUNE 10, 2024

As organizations strive to harness the power of AI while controlling costs, leveraging anything as a service (XaaS) models emerges as a strategic approach. Embracing the power of XaaS XaaS encompasses a broad spectrum of cloud-based and on-premises service models that offer scalable and cost-effective solutions to businesses.

40

40

IBM Big Data Hub

OCTOBER 4, 2022

Today, AI presents an enormous opportunity to turn data into insights and actions, to amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. Manual processes that introduce risk and make it hard to scale. Multiple unsupported tools for building and deploying models.

Metadata 97

Metadata Risk Risk Management Experimentation 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

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

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 65

B2B Interactive Optimization Forecasting 65

IBM Big Data Hub

MAY 9, 2023

Today, AI presents an enormous opportunity to turn data into insights and actions, to help amplify human capabilities, decrease risk and increase ROI by achieving break through innovations. This solution is designed to include everything needed to develop a consistent transparent model management process. It is an imperative.

Metadata 71

Metadata Risk Experimentation Dashboards 71

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

bridgei2i

APRIL 23, 2020

The banking sector globally is definitely going to see impact, some more grave than the others and most of them are announcing short to mid term measure both from a customer and business risk mitigation standpoint. Europe is in worse shape than America, with banks in UK, Italy and Germany in the risk of being in red.

Risk 52

Risk Management Scorecard Forecasting 52

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 96

IT Machine Learning Risk Optimization 96

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. Quality Control.

Analytics 120

Analytics Manufacturing Internet of Things Risk 120

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

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

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

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

BizAcuity

APRIL 1, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 52

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

JANUARY 18, 2023

Anti-Money Laundering (AML) is increasingly becoming a crucial branch of risk management and fraud prevention. In fact, online casinos as an industry carries the biggest risk of money laundering. Predictive Analytics can help businesses in reducing risk (eg. Predictive modeling for flagging suspicious activity.

Machine Learning 52

Machine Learning Predictive Analytics Predictive Modeling Risk 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. You can better manage risk because of real-time data coming into the EA space.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

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 Sales Data Integration 76

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 54

Insurance Digital Transformation Risk Management Interactive 54

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. Hire the right architects.

Risk Management 118

Risk Management Risk Management Digital Transformation 118

CIO Business Intelligence

DECEMBER 29, 2023

While there remains a lot we don’t fully understand about AI, including its associated risks, there are many opportunities to take advantage of moving forward in business and life,” he says. Information security and risk management are always top priorities for Fleetcor Technologies’ CIO Scott DuFour as well, and 2024 will be no different.

Cost-Benefit 139

Cost-Benefit Digital Transformation Consulting Strategy 139

IBM Big Data Hub

DECEMBER 13, 2023

A procurement strategy allows an organization to navigate an increasingly complex global supply chain, adapt swiftly to market fluctuations, and achieve cost optimization, operational efficiency and growth. This enables an effective and adaptive approach to sourcing that creates value and minimizes risk.

Strategy 66

Strategy Cost-Benefit Key Performance Indicator Consulting 66