Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. 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. .

Risk 97

Risk Optimization Management Insurance 97

Smart Data Collective

SEPTEMBER 21, 2021

Retailers around the world are discovering that big data can be incredibly valuable to their bottom lines. A growing number of businesses are starting to look for new data-driven approaches to streamline their business models. Targeting the Right Variables for Your Data-Driven Retail Business Model.

Data-driven 107

Data-driven Metrics Sales Big Data 107

Smart Data Collective

APRIL 22, 2020

Big data has turned the software industry on its head. The relationship between software development and big data is a two-way street. While many software developers are looking to create new applications that use big data, they are also using big data to streamline development.

Data-driven 91

Data-driven Software Big Data Testing 91

AWS Big Data

JANUARY 27, 2023

Diligent is the global leader in modern governance, providing software as a service (SaaS) services across governance, risk, compliance, and audit, helping companies meet their environmental, social, and governance (ESG) commitments. With the Diligent Platform, organizations can bring their most critical data into one centralized place.

Data-driven 52

Data-driven Dashboards B2B Visualization 52

Cloudera

MARCH 28, 2019

For all the advances in big data, machine learning and computational simulation in the decade since the global financial crisis, incumbent banks, still preoccupied with the twin imperatives of ever-tougher regulatory compliance and boosting shareholder returns, are playing catch-up in their adoption of new technologies. Risk management 3.0.

Risk 73

Risk Management Risk Management Machine Learning 73

CIO Business Intelligence

APRIL 28, 2022

Right from the start, auxmoney leveraged cloud-enabled analytics for its unique risk models and digital processes to further its mission. Particularly in Asia Pacific , revenues for big data and analytics solutions providers hit US$22.6bn in 2020 , with financial services companies ranking among their biggest clients.

Analytics 98

Analytics Insurance Big Data Uncertainty 98

IBM Big Data Hub

APRIL 18, 2023

ISO 20022 is a global standard for financial messaging that aims to standardize electronic data interchange between financial institutions. It provides a structured way of exchanging data for financial transactions, including payments, securities and trade services. Real-Time Payments and Wire Transfer).

Risk Management 116

Risk Management Cost-Benefit Risk Data-driven 116

Smart Data Collective

SEPTEMBER 17, 2020

Nowadays, terms like ‘Data Analytics,’ ‘Data Visualization,’ and ‘Big Data’ have become quite popular. In this modern age, each business entity is driven by data. Data analytics are now very crucial whenever there is a decision-making process involved. The Role of Big Data.

Big Data 141

Big Data Finance Risk Management Risk 141

CIO Business Intelligence

MAY 15, 2024

Even if you don’t have the training data or programming chops, you can take your favorite open source model, tweak it, and release it under a new name. If you have a data center that happens to have capacity, why pay someone else?” It’s also the training data, model weights, and fine tuning. Gen AI, however, isn’t just code.

Modeling 135

Modeling Risk Software Enterprise 135

FineReport

APRIL 9, 2024

Evolving BI Tools in 2024 Significance of Business Intelligence In 2024, the role of business intelligence software tools is more crucial than ever, with businesses increasingly relying on data analysis for informed decision-making.

Business Intelligence 52

Business Intelligence Software Data-driven Predictive Modeling 52

John Wheeler

APRIL 30, 2018

1) State of Risk Management, 2018 . Risk management continues to be an area of growing maturity and investment for most organizations, as the risk landscape becomes increasingly complex and interconnected. This session explores how integrated risk management (IRM) will help improve risk management practices.

Risk 40

Risk Risk Management Data-driven Strategy 40

IBM Big Data Hub

FEBRUARY 19, 2024

To mitigate these risks , companies need the resources and technology to develop robust contingency plans. Fewer disruptions : A healthy supply chain mitigates risks and protects against inevitable disruption. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 87

Strategy Management Forecasting Cost-Benefit 87

erwin

MARCH 25, 2021

erwin recently hosted the second in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities. Led by Frank Pörschmann of iDIGMA GmbH, an IT industry veteran and data governance strategist, the second webinar focused on “ The Value of Data Governance & How to Quantify It.”.

Data Governance 109

Data Governance IT Cost-Benefit Risk 109

Cloudera

APRIL 19, 2023

Data has become an essential driver for new monetization initiatives in the financial services industry. With the emergence of new technologies, including privacy enhancing techniques (PETs) that further protect the customer, monetizing data has become more accessible than ever before.

Data-driven 69

Data-driven Data Architecture Measurement Risk 69

IBM Big Data Hub

FEBRUARY 13, 2024

Demystifying generative AI At the heart of Generative AI lie massive databases of texts, images, code and other data types. This data is fed into generational models, and there are a few to choose from, each developed to excel at a specific task. Imagine each data point as a glowing orb placed on a vast, multi-dimensional landscape.

Enterprise 124

Enterprise Modeling Testing Data-driven 124

IBM Big Data Hub

JUNE 29, 2023

By having real-time data at their fingertips, decision-makers can adjust their strategies, allocate resources accordingly, and capitalize on the unexpected spike in demand, ensuring customer satisfaction while maximizing revenue. Data integration and analytics IBP relies on the integration of data from different sources and systems.

Key Performance Indicator 81

Key Performance Indicator Forecasting Data Integration Sales 81

CIO Business Intelligence

JUNE 21, 2022

Governance should be designed with adaptability in mind to ensure IT remains in alignment with business objectives, continually providing value while effectively safeguarding the organization against potential risks, Bales says. Poor risk planning. Insufficient operational visibility.

IT 116

IT Risk Measurement Risk Management 116

John Wheeler

OCTOBER 20, 2020

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. These five capabilities support both integrated view of strategic, operational and technology risk as well as the related business outcomes, processes and assets.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

IBM Big Data Hub

JANUARY 30, 2024

In the last post , we looked at creating a blueprint for a sustainable data center. Now we’ll look at how to get the most out of a modern data center. Get inspired A successful data center implementation can best be described as a distributed, dynamic, efficient and resilient IT nucleus.

Manufacturing 78

Manufacturing Business Objectives Optimization Risk Management 78

Smart Data Collective

OCTOBER 26, 2023

AI poses a number of benefits and risks for modern businesses. Cybersecurity is the practice of taking precautions to protect data privacy, security, and reliability from being compromised online. A successful breach can result in loss of money, a tarnished brand, risk of legal action, and exposure to private information.

Technology 91

Technology Risk Measurement IoT 91

AWS Big Data

APRIL 12, 2023

As the Security Awareness department in particular began developing product strategies to deliver data-driven insights to customers, we were clear on using existing analytics services to rapidly build customer-facing analytics solutions. In this post, we go over how we use QuickSight to serve our security customers.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

erwin

APRIL 2, 2021

Organizations are managing more data than ever. With more companies increasingly migrating their data to the cloud to ensure availability and scalability, the risks associated with data management and protection also are growing. Data Security Starts with Data Governance.

Data Governance 106

Data Governance Cost-Benefit Risk Metadata 106

Cloudera

FEBRUARY 14, 2018

I’ve spent the last four years here at Cloudera talking with our customers about how to run their businesses better using their data and Cloudera’s products and services. Now I get to put my money where my mouth is – and turn my focus internally on how we at Cloudera can become more data-driven.

Data-driven 43

Data-driven Data Quality Risk Interactive 43

IBM Big Data Hub

SEPTEMBER 15, 2023

These requirements will likely mandate publicly traded companies to disclose their greenhouse gas (GHG) emissions footprint, climate-related goals, and progress, as well as climate-risk related financial impact and expenditures.

Risk 78

Risk Reporting Data-driven Publishing 78

Smart Data Collective

SEPTEMBER 28, 2021

Moreover, with the help of an AI development company , businesses can avoid unforeseen downtime, increase operational productivity, develop new services and products, and boost risk control. Security and protection are the most important aspects for a business, given the recent growth in data thefts and loss of valuable data.

IoT 132

IoT Internet of Things Cost-Benefit Consulting 132

Smart Data Collective

OCTOBER 13, 2021

Take advantage of data analytics. One of the biggest reasons AI has become so valuable is that it is so tightly integrated with data analytics. Using data analytics technology, you can study this data to gain valuable insights to help with decision-making.

Technology 120

Technology Cost-Benefit Experimentation Machine Learning 120

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. This includes trust in the data, the security, the brand and the people behind the AI.

B2B 70

B2B Interactive Optimization Forecasting 70

CIO Business Intelligence

JUNE 8, 2023

There’s a strong need for workers with expertise in helping companies make sense of data, launch cloud strategies, build applications, and improve the overall user experience. This demand has driven up salaries for IT roles, especially those around development, engineering, and support. percent since 2021, according to Dice.

IT 140

IT Digital Transformation Software Risk 140

CIO Business Intelligence

DECEMBER 8, 2022

While organizations know they need to mitigate environmental risks more effectively across the supply chain, often they struggle to translate that ambition into results. There is a clear company risk in not being sustainable, both to the planet and to the business. Data lives in silos across the IT and OT environment.

IoT 101

IoT ROI Cost-Benefit Risk 101

Jet Global

AUGUST 28, 2023

29, 2023 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it acquired Vizlib , a UK-based software company that builds powerful value-added products for Qlik Sense. The company has experienced tremendous growth with a five-year percentage growth rate of 425 percent.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

Cloudera

OCTOBER 28, 2021

I’ve had the pleasure to participate in a few Commercial Lines insurance industry events recently and as a prior Commercial Lines insurer myself, I am thrilled with the progress the industry is making using data and analytics. Commercial Lines truly is an “uber industry” with respect to data. A Long, Long Time Ago.

Insurance 94

Insurance Risk Unstructured Data Data-driven 94

BizAcuity

APRIL 6, 2022

Hence, a lot of time and effort should be invested into research and development, hedging and risk management. Crypto casinos need a solid operation strategy, an analytics platform and a fail-safe mechanism in place. Moreover, there should be a powerful data management and analytics pipeline for operational usage.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

bridgei2i

APRIL 26, 2021

Risk management . AI helps make better decisions and mitigates potential risks. It means the AI-driven bots will reply to customers at any point in time. But with AI, this step can be eliminated, and you can analyze and identify every risky data and file. can affect the industries greatly. AI: Future of banking .

Finance 105

Finance Risk Risk Management Enterprise 105

IBM Big Data Hub

NOVEMBER 28, 2022

Metadata management performs a critical role within the modern data management stack. It helps blur data silos, and empowers data and analytics teams to better understand the context and quality of data. This, in turn, builds trust in data and the decision-making to follow.

Metadata 57

Metadata Data Quality Data-driven Data Governance 57

Ontotext

JULY 6, 2023

In today’s fast changing environment, enterprises that have transitioned from being focused on applications to becoming data-driven gain a significant competitive edge. There are four groups of data that are naturally siloed: Structured data (e.g., Transaction and pricing data (e.g.,

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

AWS Big Data

FEBRUARY 13, 2023

As trusted advisors to card networks and Fortune 500 companies, we are known for our expertise in the areas of transaction risk management, chargeback mitigation, fraud prevention, and dispute intelligence. As it’s engineered to rapidly perform advanced calculations and serve data, it was a big selling point for us.

Dashboards 52

Dashboards Risk Management Forecasting Risk 52

CIO Business Intelligence

APRIL 29, 2022

Launching a data-first transformation means more than simply putting new hardware, software, and services into operation. True transformation can emerge only when an organization learns how to optimally acquire and act on data and use that data to architect new processes. Key features of data-first leaders.

Digital Transformation 132

Digital Transformation Strategy Data-driven Data Strategy 132