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

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 43

Data-driven Data Quality Risk Interactive 43

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

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

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 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. Consider improving user experience.

Technology 122

Technology Cost-Benefit Experimentation Machine Learning 122

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 61

Finance Consulting Data-driven Risk 61

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

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.”. Aim for agility.

Cost-Benefit 119

Cost-Benefit Digital Transformation Strategy Consulting 119

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

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 96

Risk Optimization Management Insurance 96

IBM Big Data Hub

SEPTEMBER 20, 2022

It’s how top organizations improve customer interactions and accelerate time-to-market for goods and services. Alongside the significant brand reputation risk, there’s also a growing set of data and AI regulations across the world and across industries — like the upcoming European Union AI Act — that companies must adhere to.

Metadata 57

Metadata Machine Learning Data-driven Modeling 57

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 59

Dashboards Risk Data-driven Visualization 59

erwin

JUNE 14, 2019

The following three examples highlight the extent to which digital transformation is reshaping the nature of business and government and how we – as a society – interact with the world. The inherently competitive nature of retail has made the sector a leader in adopting data-driven strategy. Data can tell you.

Digital Transformation 111

Digital Transformation Data Governance Risk Data-driven 111

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. The possibilities are endless!

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

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

CIO Business Intelligence

MAY 18, 2022

That requires enterprise architects to work more closely with risk management and security staff to understand dependencies among the components in the architecture to better understand the likelihood and severity of disruptions and formulate plans to cope with them. Tracking data and APIs.

Enterprise 122

Enterprise Measurement Software Data-driven 122

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 98

Strategy Risk Enterprise Risk Management 98

erwin

MARCH 12, 2020

It also highlights select enterprise architecture management suite (EAMS) vendors based on size and functionality, including erwin. The report notes six primary EA competencies in which we excel in the large vendor category: modeling, strategy translation, risk management, financial management, insights and change management.

Enterprise 85

Enterprise Reporting Management ROI 85

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 54

Digital Transformation Uncertainty Risk Data Warehouse 54

Cloudera

AUGUST 25, 2020

Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. Thank you for joining us for part two of our discussion around data, analytics and machine learning within the Financial Service Sector Dr. Harmon.

Prescriptive Analytics 68

Prescriptive Analytics Technology Machine Learning Risk 68

Cloudera

MAY 15, 2018

Over the past decade, we have observed open source powered big data and analytics platforms evolve from large data storage containers to massively scalable advanced modeling platforms that seamlessly operate on-premises and in a multi-cloud environment. These examples are well covered by many others (e.g.,

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

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

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 108

Statistics Risk Measurement Software 108

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

bridgei2i

MAY 20, 2020

And since they involve making better decisions using data-driven insights, AI & Analytics led applications are leading the way forward. My name is Anushruti, and I’m part of the CEO’s program office at BRIDGEi2i and the custodian of data around the sales pipeline. Subscribe Now. Transcript. Anushruti: Got it.

Enterprise 98

Enterprise Digital Transformation B2B Insurance 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 98

Data-driven Digital Transformation Risk Risk Management 98

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

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

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

Domino Data Lab

AUGUST 10, 2021

Models are the central output of data science, and they have tremendous power to transform companies, industries, and society. At the center of every machine learning or artificial intelligence application is the ML/AI model that is built with data, algorithms and code. Download your free copy of How to Build a Model Driven Business.

Modeling 64

Modeling IT Risk Management Deep Learning 64

CIO Business Intelligence

JUNE 8, 2023

The technology initiatives that are expected to drive the most IT investment in 2023 security/risk management, data/business analytics, cloud-migration, application/legacy systems modernization, machine learning/AI, and customer experience technologies. The small business budget has tripled from 2020 from $5.5

Strategy 98

Strategy Data-driven Interactive Digital Transformation 98

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 92

Risk Marketing Risk Management Data-driven 92

Smart Data Collective

AUGUST 30, 2023

These systems include integrated project management, resource allocation, time tracking, and billing features, which enhance efficiency, minimize administrative complexity, and assure accurate and timely client invoicing. They empower organizations to make data-driven, educated decisions.

Software 93

Software Technology Consulting Forecasting 93

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

erwin

FEBRUARY 20, 2020

Recently, Glassdoor named enterprise architecture the top tech job in the UK , indicating its increasing importance to the enterprise in the tech and data-driven world. erwin helps model, manage and transform mission-critical value streams across industries, as well as identify sensitive information.

Enterprise 128

Enterprise Modeling Dashboards Digital Transformation 128

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