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

IBM Big Data Hub

FEBRUARY 13, 2024

The compact design and touch-based interactivity seemed like a leap into the future. 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.

Enterprise 128

Enterprise Modeling Testing Data-driven 128

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

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. A human layer of validation and a final sign-off on every transaction or report generated will be key.

Finance 63

Finance Consulting Data-driven Risk 63

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. Various firms are using machine-to-machine interaction to identify inbound attacks and send out automatic answers to cybercriminals. l Improved Risk Management.

IoT 133

IoT Internet of Things Cost-Benefit Consulting 133

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.

IT 140

IT Digital Transformation Software Risk 140

erwin

SEPTEMBER 3, 2020

Why should you integrate data governance (DG) and enterprise architecture (EA)? Data governance provides time-sensitive, current-state architecture information with a high level of quality. Data governance provides time-sensitive, current-state architecture information with a high level of quality.

Data Governance 144

Data Governance Enterprise Risk Data Lake 144

erwin

JUNE 14, 2019

According to IDC’s digital transformation predictions report for 2019, these types of initiatives are going to flood the enterprise during the next five years. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. This is an important data point for marketing strategy.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

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. million end-users to bring cybersecurity training to each employee within an organization.

Dashboards 60

Dashboards Risk Data-driven Visualization 60

CIO Business Intelligence

JULY 31, 2023

Just look at the stats:Some 45% of 2,500 executives polled for a May 2023 report from research firm Gartner said the publicity around ChatGPT prompted them to increase their AI investments, 70% said their organization is already exploring gen AI, and 19% are in actual pilot or production mode.

Strategy 98

Strategy Risk Enterprise Risk Management 98

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. It can apply automated reasoning to extract further knowledge and make new connections between different pieces of data. And that’s not all. Some of the top U.S.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

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

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

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 56

Digital Transformation Uncertainty Risk Data Warehouse 56

Smart Data Collective

SEPTEMBER 22, 2021

Data breaches have become much more common in recent years. One estimate shows that over 37 billion data records were exposed last year. The risk of data breaches will not decrease in 2021. Every business out there is now forced to become an internet business, which makes them more dependent on data.

Statistics 107

Statistics Risk Measurement Software 107

CIO Business Intelligence

JUNE 26, 2023

Transitioning to automated, data-driven processes is the best way for these companies to not only cope with change but also take advantage of it. Consumer banks can use digital interactions to gather more customer data and apply real-time analytics to expand services and speed up processes.

Data-driven 98

Data-driven Insurance Risk Risk Management 98

Cloudera

AUGUST 21, 2021

The same study also stated that having stronger online data security, being able to conduct more banking transactions online and having more real-time problem resolution were the top priorities of consumers. . Financial institutions need a data management platform that can keep pace with their digital transformation efforts.

Data-driven 101

Data-driven Digital Transformation Risk Risk Management 101

John Wheeler

NOVEMBER 25, 2020

Integrated risk management (IRM) technology is uniquely suited to address the myriad of risks arising from the current crisis and future COVID-19 recovery. Provide a full view of business operations by delivering forward-looking measures of related risk to help customers successfully navigate the COVID-19 recovery.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

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

Smart Data Collective

AUGUST 30, 2023

Notably, firms that have adopted PSA systems report a 7% higher utilization rate compared to those predominantly reliant on spreadsheets. This integrated approach removes the need for several software solutions as well as manual data entry, resulting in a more coherent and simplified workflow.

Software 93

Software Technology Consulting Forecasting 93

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

Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. 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

AWS Big Data

JANUARY 31, 2024

We show you how to access data, define custom functions to apply on data, query and filter the dataset, and visualize the results of the analysis, all without having to worry about setting up infrastructure or configuring Spark, even for large datasets. SIAC has recommended that firms prepare for peak data rates of up to 37.3

Marketing 86

Marketing Analytics Visualization Strategy 86

Corinium

APRIL 25, 2019

Ahead of the Chief Data Analytics Officers & Influencers, Insurance event we caught up with Dominic Sartorio, Senior Vice President for Products & Development, Protegrity to discuss how the industry is evolving. I am head of Products here, which comprises of R&D, Product Management and Global Customer support.

Insurance 150

Insurance Risk IoT Cost-Benefit 150

DataRobot

SEPTEMBER 16, 2021

Over time, the limitations of GLM have driven pricing actuaries to research new, more advanced tools. In certain instances, a pricing actuary may want to leverage industry indications for some features and model on other features using proprietary data. Interactions + customer-controlled interactions. Conclusion.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

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

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.

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

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

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 130

Digital Transformation Strategy Technology Enterprise 130

datapine

FEBRUARY 22, 2022

Over the past 5 years, big data and BI became more than just data science buzzwords. Without real-time insight into their data, businesses remain reactive, miss strategic growth opportunities, lose their competitive edge, fail to take advantage of cost savings options, don’t ensure customer satisfaction… the list goes on.

Business Intelligence 218

Business Intelligence Strategy Cost-Benefit Key Performance Indicator 218

CIO Business Intelligence

APRIL 12, 2022

Even though Nvidia’s $40 billion bid to shake up enterprise computing by acquiring chip designer ARM has fallen apart, the merger and acquisition (M&A) boom of 2021 looks set to continue in 2022, perhaps matching the peaks of 2015, according to a report from risk management advisor Willis Towers Watson.

Enterprise 143

Enterprise Technology Consulting Software 143

Alation

MARCH 24, 2022

Is your data protected? Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. Understanding the similarities and differences between data security and data privacy is key to establishing a more robust compliance program. Email address.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

Andrew White

JANUARY 11, 2021

It was titled, The Gartner 2021 Leadership Vision for Data & Analytics Leaders. This was for the Chief Data Officer, or head of data and analytics. What is unique about the D&A Leadership Vision is that it crossed over into business since for many organizations, the CDO reports into the CEO or COO (as examples).

Data Analytics 52

Data Analytics Analytics Data-driven Finance 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 79

Management Risk Measurement Optimization 79

CIO Business Intelligence

APRIL 12, 2022

That is changing with the introduction of inexpensive IoT-based data loggers that can be attached to shipments. Data loggers connect to centralized data management systems and transfer their readings, enabling efficient recording, analysis and decision-making. That brings us to the value of timely data and analytics.

IoT 105

IoT Analytics Manufacturing Cost-Benefit 105

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. M&A Model.

Modeling 98

Modeling Forecasting Metrics Finance 98