Ontotext

FEBRUARY 26, 2024

This is part of Ontotext’s AI-in-Action initiative aimed at enabling data scientists and engineers to benefit from the AI capabilities of our products. The answers to these foundational questions help you uncover opportunities and detect risks. RED answers key questions such as: “What happened?”, “Who was involved?”,

Data-driven 59

Data-driven Risk Modeling Risk Management 59

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

CIO Business Intelligence

SEPTEMBER 7, 2023

At first blush, it seems that generative AI and LLM tools will present the defense industry with unprecedented breakthrough innovations. First, there is the need to properly handle the critical data that fuels defense decisions and enables data-driven generative AI. Specifically, existing storage solutions are inadequate.

Unstructured Data 110

Unstructured Data Cost-Benefit Risk Data-driven 110

datapine

AUGUST 29, 2022

The saying “knowledge is power” has never been more relevant, thanks to the widespread commercial use of big data and data analytics. The rate at which data is generated has increased exponentially in recent years. Companies, both big and small, are seeking the finest ways to leverage their data into a competitive advantage.

Big Data 263

Big Data Data Analytics Analytics Data mining 263

CIO Business Intelligence

JULY 13, 2023

My first step in that process is sharing some of the great insights I learned with all of you. The rapid expansion of the Internet of Things (IoT), fueled by generative AI, is putting increasing pressure on data centers worldwide. This aspect is about data usage, privacy, and responsible technology innovation. Governance.

IT 90

IT Internet of Things Strategy IoT 90

John Wheeler

APRIL 30, 2018

I will be presenting three sessions at our summit events that explore how an IRM strategy and technology solution set can strengthen an organization’s resilience in this new era of digital danger. 1) State of Risk Management, 2018 . 2) How IRM Fits Into a Digital Risk Management Solution Stack.

Risk 40

Risk Risk Management Data-driven Strategy 40

DataRobot Blog

JUNE 1, 2022

Showcasing the industry’s most innovative use of AI, this global event offers you the opportunity to learn from DataRobot data scientists—as well as AI pioneers from retailers like Shiseido Japan Co., DataRobot AIX has purpose-built content for business leads, data scientists, and IT leaders. Data Scientist-Driven Breakout Sessions.

Machine Learning 119

Machine Learning Data-driven Risk Management Risk 119

CIO Business Intelligence

APRIL 15, 2024

A smaller number (16% of IT leaders and 11% of LOB) sought out CIO consultation to help evaluate and advise on choices using a risk management or governance lens. Generative AI is a major focus, with more than half of IT leaders (58%) driving alignment with LOB on adoption and use of the emerging technology.

Digital Transformation 127

Digital Transformation Strategy Technology Enterprise 127

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 99

Risk Optimization Management Insurance 99

Cloudera

MAY 18, 2021

This article is the second in a multipart series to showcase the power and expressibility of FlinkSQL applied to market data. Code and data for this series are available on github. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications.

Risk 96

Risk Marketing Risk Management Data-driven 96

erwin

NOVEMBER 13, 2020

Data Security & Risk Management. Innovation Management. Data Center Consolidation. Application Portfolio Management. Data Governance (knowing what data you have and where it is). Digital Transformation. Compliance/Legislation. Artificial Intelligence. Knowledge Improvement and Retention.

Enterprise 131

Enterprise Digital Transformation Key Performance Indicator Data-driven 131

datapine

MARCH 31, 2022

Does data excite, inspire, or even amaze you? Despite these findings, the undeniable value of intelligence for business, and the incredible demand for BI skills, there is a severe shortage of BI-based data professionals – with a shortfall of 1.5 2) Top 10 Necessary BI Skills. 3) What Are the First Steps To Getting Started?

Business Intelligence 239

Business Intelligence Statistics Visualization Data-driven 239

Cloudera

SEPTEMBER 7, 2023

There’s also the risk of various forms of data leakage, including intellectual property (IP) as well as personally identifiable information (PII) especially with commercial AI solutions. That said, Generative AI and LLMs appear to do all of these things, producing original, “creative” outputs by learning from input data.

Insurance 81

Insurance Risk Data-driven Finance 81

CIO Business Intelligence

JULY 31, 2023

To allow or not According to various news reports, some big-name companies initially blocked generative AI tools such as ChatGPT for various reasons, including concerns about protecting proprietary data. 1 question now is to allow or not allow,” says Mir Kashifuddin, data risk and privacy leader with the professional services firm PwC US.

Strategy 97

Strategy Risk Enterprise Risk Management 97

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 96

Insurance Risk Unstructured Data Data-driven 96

CIO Business Intelligence

MAY 9, 2024

Helping lead the continual evolution of the nation’s largest all-digital bank are two award-winning technology executives: Sathish Muthukrishnan, Ally’s chief information, data, and digital officer, and Donna Hart, the company’s CISO. Now we are down to 50/50. Muthukrishnan: I truly feel like it’s a differentiator.

Cost-Benefit 112

Cost-Benefit Technology Risk Risk Management 112

CIO Business Intelligence

APRIL 11, 2022

If the CIO can bring in new revenue, provide customer-facing touchpoints, and drive data-driven decision making, then they are going to become integral to enterprise strategy.”. The combination of a strong expert opinion backed by data is a powerful one and will elevate the CIO role.”. Yet it doesn’t have to be that way. “If

Cost-Benefit 118

Cost-Benefit Digital Transformation Strategy Consulting 118

Cloudera

NOVEMBER 18, 2021

With so many impactful and innovative projects being carried out by our customers using the Cloudera platform, selecting the winners of our annual Data Impact Awards (DIA) is never an easy task. So, without further ado, it is with great delight that we officially publish the 2021 Data Impact Award winners! Data Lifecycle Connection.

Data Lake 76

Data Lake Cost-Benefit Digital Transformation Risk 76

Jet Global

APRIL 25, 2024

With multitudes of regulations surrounding everything from reporting to data security, organizations can quickly become overwhelmed. This requirement includes establishing financial reporting standards, ensuring data security controls, monitoring attempted breaches, keeping track of electronic records for audits, and demonstrating compliance.

Reporting 52

Reporting Risk Management Risk Software 52

FineReport

MARCH 24, 2024

Rapid technological advancements and extensive networking have propelled the evolution of data analytics, fundamentally reshaping decision-making practices across various sectors. In this landscape, data analysts assume a pivotal role, tasked with interpreting data to drive informed decision-making.

Statistics 52

Statistics Data mining Visualization Reporting 52

CIO Business Intelligence

DECEMBER 20, 2023

Organizations face persistent challenges in achieving, and more importantly, sustaining Payment Card Industry Data Security Standard (PCI DSS) compliance. This step lays the foundation for a targeted and purpose-driven approach, ensuring that efforts are aligned with the overarching objective of safeguarding sensitive data.

Optimization 52

Optimization Data-driven Risk Management Management 52

BizAcuity

MARCH 31, 2022

You must be tired of continuously hearing quotes like, ‘data is the new oil’ and what not. This article (like thousands of other articles), is aimed at presenting consolidated information about AI for business in simple language. Combined, it has come to a point where data analytics is your safety net first, and business driver second.

Data Analytics 52

Data Analytics Analytics Prescriptive Analytics Predictive Analytics 52

Ontotext

MAY 5, 2023

In this post, we present several of the key benefits they offer and support them with case studies of Ontotext clients and other examples. Knowledge Representation In the context of the Financial Services Industry domain, the most popular examples of such data are entity (Who?) and product (What?).

Data Collection 64

Data Collection Risk Data-driven Interactive 64

erwin

DECEMBER 20, 2018

The driving factors behind data governance adoption vary. Whether implemented as preventative measures (risk management and regulation) or proactive endeavors (value creation and ROI), the benefits of a data governance initiative is becoming more apparent. Defining Data Governance. to Data Governance 2.0

Data Governance 40

Data Governance ROI Risk Management Metadata 40

IBM Big Data Hub

JULY 31, 2023

Banks have the most to gain if they succeed (and the most to lose if they fail) at bringing their mainframe application and data estates up to modern standards of cloud-like flexibility, agility and innovation to meet customer demand. Couldn’t execs have run better analyses to spot risks within the data?

Digital Transformation 52

Digital Transformation Uncertainty Risk Data Warehouse 52

Sisense

SEPTEMBER 3, 2020

We live in a constantly-evolving world of data. That means that jobs in data big data and data analytics abound. The wide variety of data titles can be dizzying and confusing! The growth in the range of data job titles is a testament to the value that these experts bring to their organizations.

Statistics 97

Statistics Metrics Visualization Finance 97

Domino Data Lab

FEBRUARY 4, 2019

In Paco Nathan ‘s latest column, he explores the role of curiosity in data science work as well as Rev 2 , an upcoming summit for data science leaders. Welcome back to our monthly series about data science. and dig into details about where science meets rhetoric in data science. Introduction. This is not that.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

BizAcuity

APRIL 6, 2022

We do see crypto as a sustainable revenue model but at the same time, we cannot ignore the fact that at present, cryptocurrencies are extremely volatile and a slump in crypto prices could affect casino revenue adversely. Hence, a lot of time and effort should be invested into research and development, hedging and risk management.

Data Analytics 52

Data Analytics Analytics B2B Deep Learning 52

AWS Big Data

AUGUST 14, 2023

This post is the first in a series dedicated to the art and science of practical data mesh implementation (for an overview of data mesh, read the original whitepaper The data mesh shift ). Taken together, the posts in this series lay out some possible operating models for data mesh within an organization.

Management 81

Management Risk Measurement Optimization 81

Jet Global

MAY 9, 2024

A data pipeline is a series of processes that move raw data from one or more sources to one or more destinations, often transforming and processing the data along the way. Data pipelines support data science and business intelligence projects by providing data engineers with high-quality, consistent, and easily accessible data.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52

Jet Global

APRIL 5, 2021

Financial models offer data-driven, quantitative analysis that tells you where your company stands and where it’s heading. Risk management. As a result, companies must be agile—poised to make quick, strategic decisions based on the latest incoming data—if they hope to succeed. Prioritizing projects.

Modeling 98

Modeling Forecasting Metrics Finance 98

bridgei2i

JULY 28, 2020

And monitor those models, software engineers, data analysts, system administrators, and then there’s that whole process of troubleshooting and debugging, which is huge because the system is not going to run perfectly. More efficient, more scalable systems are going to be able to handle more data. We need people who can test.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

IBM Big Data Hub

MAY 14, 2024

Consider the most vulnerable among us, when specifying the problem, understanding the data, and evaluating the solution. 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. Quality AI requires quality data.

Risk 86

Risk Risk Management Measurement Strategy 86

Smart Data Collective

AUGUST 31, 2023

Data analytics has had a tremendous impact on the financial sector in recent years. There are a ton of great benefits of using data analytics in finance. We mentioned that many people use data analytics to maximize stock market investing returns , but it is also possible to improve the ROI of high yield investment trusts.

ROI 95

ROI Data Analytics Analytics Risk 95

DataRobot Blog

DECEMBER 20, 2022

One might imagine that the increase in available data would lead to greater transparency and more efficient markets, but the opposite seems to be the case as increased access to massive amounts of data has made assessing real estate assets much more complex. Real Estate Data Intelligence. More is not always better.

Management 59

Management Machine Learning Optimization Modeling 59

Alation

FEBRUARY 8, 2022

The “data textile” wars continue! In our first blog in this series , we define the terms data fabric and data mesh. The second blog took a deeper dive into data fabric, examining its key pillars and the role of the data catalog in each. Because those closest to the data are best equipped to manage it capably.

Data Governance 52

Data Governance Data-driven Metadata Enterprise 52

Alation

NOVEMBER 23, 2021

The same could be said about data governance : ask ten experts to define the term, and you’ll get eleven definitions and perhaps twelve frameworks. However it’s defined, data governance is among the hottest topics in data management. This is the final post in a four-part series discussing data culture.

Data Governance 52

Data Governance Data-driven Data Processing Consulting 52