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

We provide the right governance technology that empowers our customers to act strategically while maintaining compliance, mitigating risk, and driving efficiency. With the Diligent Platform, organizations can bring their most critical data into one centralized place. However, this can be difficult to achieve.

Data-driven 52

Data-driven Dashboards B2B Risk 52

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. Data scientists are in demand: the U.S. Explore these 10 popular blogs that help data scientists drive better data decisions.

Experimentation 145

Experimentation Forecasting Data-driven Machine Learning 145

CIO Business Intelligence

DECEMBER 19, 2023

After all, every department is pressured to drive efficiencies and is clamoring for automation, data capabilities, and improvements in employee experiences, some of which could be addressed with generative AI. As every CIO can attest, the aggregate demand for IT and data capabilities is straining their IT leadership teams.

Digital Transformation 143

Digital Transformation Unstructured Data Machine Learning Risk Management 143

CIO Business Intelligence

JANUARY 11, 2024

A data-driven foundation Of course, a dose of caution is in order, particularly with newer AI offshoots such as generative AI. Outrageously inaccurate ChatGPT musings are just an opener for what could later be catastrophic mistakes predicated on bad data.

Enterprise 128

Enterprise Uncertainty Reporting Risk Management 128

Smart Data Collective

JULY 16, 2023

Big data is the most important business trend of the 21st century. The usage, volume, and types of data have increased significantly. In fact, big data keeps gaining momentum. We mentioned that data analytics is vital to marketing , but it is affecting many other industries as well.

ROI 68

ROI Data Analytics Analytics Risk Management 68

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 Predictive Modeling Data-driven 52

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. The first is visibility.

Data-driven 44

Data-driven Data Quality Risk Interactive 44

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 139

Big Data Finance Risk Management Risk 139

John Wheeler

MARCH 6, 2019

It has been 5 years since Gartner embarked on the journey to enhance our coverage of the risk management technology marketplace. That journey included in-depth survey research and countless interactions with our end-user clients to understand their need to better manage strategic, operational and IT/cybersecurity risks.

Risk Management 77

Risk Management Risk Data-driven Marketing 77

DataRobot Blog

APRIL 29, 2022

With the big data revolution of recent years, predictive models are being rapidly integrated into more and more business processes. This provides a great amount of benefit, but it also exposes institutions to greater risk and consequent exposure to operational losses.

Risk 111

Risk Modeling IT Risk Management 111

CIO Business Intelligence

MARCH 12, 2024

Others include preparation for zero-day attacks, almost anything having to do with data stewardship, as well as IT training and social engineering audits. When this happens, corporate risk is heightened as preemptive projects get delayed — sometimes for indefinite periods of time. The average cost of a data breach is $4.64

ROI 122

ROI IT Manufacturing Risk 122

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 114

Risk Management Cost-Benefit Risk Data-driven 114

Dataiku

DECEMBER 28, 2021

As the everyday use of AI grows across many industries, organizations are experiencing a shift in the culture around data-driven decision making. However, the use of AI, like any other technology, comes with a certain amount of risk.

Risk 59

Risk Risk Management Data-driven Modeling 59

CIO Business Intelligence

AUGUST 25, 2022

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Here again, the customer is responsible for securing the guest OS, applications, and data.

Risk Management 116

Risk Management Internet of Things Risk Modeling 116

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 72

Data-driven Data Architecture Measurement Risk 72

CIO Business Intelligence

MARCH 8, 2023

As organizations shape the contours of a secure edge-to-cloud strategy, it’s important to align with partners that prioritize both cybersecurity and risk management, with clear boundaries of shared responsibility. Here again, the customer is responsible for securing the guest OS, applications, and data.

Modeling 92

Modeling Risk Management Internet of Things Risk 92

DataRobot

OCTOBER 22, 2021

Procurement misuse, abuse, and inefficiency continues to be a challenge for state governments, driven by large transaction volumes, pressure to reduce costs, and staffing challenges. This can be accomplished by providing stronger accountability, increased productivity, and transparency into spending and risk management.

Risk 98

Risk Risk Management Data-driven Management 98

CIO Business Intelligence

NOVEMBER 21, 2023

After all, 41% of employees acquire, modify, or create technology outside of IT’s visibility , and 52% of respondents to EY’s Global Third-Party Risk Management Survey had an outage — and 38% reported a data breach — caused by third parties over the past two years.

IT 137

IT Risk Cost-Benefit Risk Management 137

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 122

Enterprise Modeling Testing Data-driven 122

CIO Business Intelligence

SEPTEMBER 13, 2022

Cyber risk is increasingly a top executive priority, due in large part to the rising number of unplanned outages, driven by the increasingly sophisticated cyberattacks and widening skills gap. Find more about it here. [1]

Digital Transformation 96

Digital Transformation Risk Risk Management Data-driven 96

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 77

Manufacturing Business Objectives Optimization Risk Management 77

IBM Big Data Hub

FEBRUARY 19, 2024

Big data and predictive analytics are increasingly being used to improve forecasting accuracy, allowing businesses to respond more effectively to changes in customer needs. A supply chain control tower can connect many sources of data-driven information and improve end-to-end visibility.

Strategy 86

Strategy Management Forecasting Cost-Benefit 86

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

CIO Business Intelligence

SEPTEMBER 7, 2022

Dubbed Cropin Cloud, the suite comes with the ability to ingest and process data, run machine learning models for quick analysis and decision making, and several applications specific to the industry’s needs. The suite, according to the company, consists of three layers: Cropin Apps, the Cropin Data Hub and Cropin Intelligence.

B2B 104

B2B Contextual Data IoT Deep Learning 104

erwin

JULY 12, 2019

In light of recent, high-profile data breaches, it’s past-time we re-examined strategic data governance and its role in managing regulatory requirements. for alleged violations of the European Union’s General Data Protection Regulation (GDPR). Complexity. Five Steps to GDPR/CCPA Compliance. Govern PII “at rest”.

Data Governance 110

Data Governance Management Metadata Risk Management 110

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. Beyond assessing risk from a qualitative perspective, companies in many industries (e.g., Incident Management.

Risk Management 52

Risk Management Risk Predictive Modeling Insurance 52

CIO Business Intelligence

SEPTEMBER 7, 2023

First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Organizations need novel storage capabilities to handle the massive, real-time, unstructured data required to build, train and use generative AI.

Unstructured Data 119

Unstructured Data Cost-Benefit Risk Risk Management 119

Smart Data Collective

OCTOBER 26, 2023

Cybersecurity is the practice of taking precautions to protect data privacy, security, and reliability from being compromised online. Specialists in cybersecurity help in taking appropriate precautions to secure sensitive data and individual privacy in the modern digital environment. What do cybersecurity specialists do?

Technology 89

Technology Risk Measurement IoT 89

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

IBM Big Data Hub

JUNE 23, 2023

Generative AI empowers faster and better data-driven decisions based on historical data, market trends and the use of AI foundation models that identify patterns and anomalies often missed by traditional analysis methods. Risk management and controls are an imperative in F&A. Apply the controllership lens.

Finance 59

Finance Consulting Data-driven Risk 59

CIO Business Intelligence

JUNE 21, 2022

CIOs frequently launch strategic initiatives without fully considering all the risks involved. By that time, governance structures are rushed and risk mitigation measures lose their effectiveness.”. Treating data like a waste product. It’s no secret that data has become a highly prized asset. Overlooking insider threats.

IT 116

IT Risk Measurement Risk Management 116

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

Jet Global

AUGUST 28, 2023

It also complements insightsoftware’s previous acquisition of Power ON , and extends write-back : the ability to update source data in enterprise databases directly onto the Qlik platform. The rate at which the world’s finance, operations, and business leaders must analyze complex, robust data continues to increase at a rapid pace.

Dashboards 75

Dashboards Visualization Finance Data Quality 75

Smart Data Collective

SEPTEMBER 28, 2021

Security and protection are the most important aspects for a business, given the recent growth in data thefts and loss of valuable data. There are IoT solutions that can assist them in collecting data and performing analytics for inventory management. l Improved Risk Management.

IoT 129

IoT Internet of Things Cost-Benefit Consulting 129

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. Machine learning is one of the biggest applications of AI.

Technology 118

Technology Cost-Benefit Experimentation Machine Learning 118

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 79

Key Performance Indicator Forecasting Sales Data Integration 79