John Wheeler

SEPTEMBER 14, 2018

This week, Gartner hosted its annual Security & Risk Management Summit in London and the buzz at the event centered on the new risks associated with the General Data Protection Regulation (GDPR). BA disclosed the data breach just prior to our event and it was headline news in London throughout the week.

Risk Management 56

Risk Management Risk Data Processing Management 56

CIO Business Intelligence

MAY 26, 2023

Businesses are looking for qualified IT pros who can help ensure that they are protected from potential threats and risks. The certification exam covers topics such as threats, attacks, vulnerabilities, risk management, architecture and design, technology and tools, cryptography and PKI, and identity and access management.

IT 124

IT Reporting Risk Consulting 124

Ontotext

JULY 6, 2023

This shift of both a technical and an outcome mindset allows them to establish a centralized metadata hub for their data assets and effortlessly access information from diverse systems that previously had limited interaction. M&A events, role changes, etc.) Let’s consider an example about risk and opportunity event detection.

Cost-Benefit 52

Cost-Benefit Metadata Experimentation Risk 52

John Wheeler

OCTOBER 12, 2018

These types of events are increasing in frequency and the resulting impacts are growing in severity. So, how can these emerging risks be managed to limit the amount of business disruption? However, ERM programs are not as effective addressing risks at lower levels that can have an equally devastating impact.

Risk Management 40

Risk Management Risk Technology Management 40

Cloudera

AUGUST 25, 2020

Evaluating anomalies and unpredicted events like pandemics and ESG concerns. In part II of the series, we sat down for an interview with Dr. Richard Harmon, Managing Director of Financial Services at Cloudera, to find out more about how the industry is adopting new technology. This is critically important for predicting risk exposures.

Prescriptive Analytics 70

Prescriptive Analytics Technology Machine Learning Risk 70

Smart Data Collective

AUGUST 6, 2020

Maritime cyber risk refers to a measure of the extent to which a technology asset could be threatened by a potential circumstance or event, which may result in shipping-related operational, safety or security failures as a consequence of information or systems being corrupted, lost or compromised.”. Assess risk exposure.

Risk 96

Risk Measurement Strategy Risk Management 96

Smart Data Collective

JUNE 26, 2019

The insurance industry is based on the idea of managing risk. To determine this risk, the industry must consult data and see what trends are evident to draft their risk profiles. The in-depth analysis of historical data gives insurers a platform to base their determination of risk. Seeing Into the Future.

Insurance 95

Insurance Data Analytics Analytics IoT 95

Ontotext

FEBRUARY 26, 2024

Ontotext’s Relation and Event Detector (RED) is designed to assess and analyze the impact of market-moving events. The answers to these foundational questions help you uncover opportunities and detect risks. Why do risk and opportunity events matter? and “What is the financial impact?”.

Data-driven 59

Data-driven Risk Modeling Risk Management 59

Ontotext

APRIL 6, 2023

More and more companies are using them to improve a variety of tasks from product range specification and risk analysis to supporting self-driving cars. This allows companies to model and optimize the interactions between the various computers that make a car run, ensuring everything is operating in sync to meet the desired specifications.

Manufacturing 83

Manufacturing Cost-Benefit Knowledge Discovery Optimization 83

Cloudera

MAY 15, 2018

Our platform efforts in this regard are being led by Hilary Mason, founder of Fast Forward Labs , and now general manager of Cloudera’s Machine Learning business unit, whose passion for analytics and innovation has no bounds! Probability, Uncertainty and Quantitative Risk (2017) 2:6. These examples are well covered by many others (e.g.,

Machine Learning 42

Machine Learning Recreation/Entertainment Finance Big Data 42

Jet Global

JULY 21, 2022

The most prominently growing responsibility is the rise of strategic decision making at 41% (up from 29% in 2021) and internal risk management at 37% (up from 30% in 2021). But while they are largely satisfied (88%) with their interactions with IT, 80 percent of finance teams also feel over-reliant on IT.

Digital Transformation 52

Digital Transformation Finance Reporting Interactive 52

Smart Data Collective

SEPTEMBER 22, 2021

The risk of data breaches will not decrease in 2021. Data must be managed carefully , which means protecting it against security breaches. Data breaches and security risks happen all the time. One bad breach and you are potentially risking your business in the hands of hackers. Avoid interacting with suspicious links.

Statistics 107

Statistics Risk Measurement Software 107

CIO Business Intelligence

DECEMBER 21, 2023

Many airlines have no choice but to store payment card data in the event of chargebacks, refunds, installments and recurring payments. This may sound too obvious or superfluous, but it’s the most effective way of reducing the risk of a data breach. 1] That’s a great idea. becomes the only Standard available.

Measurement 52

Measurement Risk Management Risk Management 52

Cloudera

MAY 18, 2021

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. Intraday VaR. Image Source: [link].

Risk 94

Risk Marketing Risk Management Data-driven 94

bridgei2i

MAY 4, 2020

Given the lack of historical precedents to an event like this, most businesses have established war rooms—very, very agile war rooms to cope with issues right now in the supply chain, in workforce management, in cash and finances. And this again, for subsectors again will also change in a lot of places. Every aspect of life.

Enterprise 91

Enterprise Digital Transformation Sales Recreation/Entertainment 91

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. Re-starting business operations will require risk visibility not only across the organization but vertically down through the organization as well. Key Findings.

Marketing 110

Marketing Risk Management Risk Digital Transformation 110

bridgei2i

JULY 28, 2020

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. So, then we need systems, analysts, database administrators, people who can set in place, these types of backup systems for risk management. Not just that.

Enterprise 98

Enterprise Digital Transformation Insurance B2B 98

Cloudera

MARCH 2, 2022

Risk management is a highly dynamic discipline these days. Similarly, the European Central Bank is issuing stress testing requirements related to climate risk given the potential economic shifts related to addressing climate change. Stress testing is a particular area that has become even more important throughout the pandemic.

Testing 91

Testing Management Risk Management Forecasting 91

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

Domino Data Lab

AUGUST 10, 2021

Models can predict things before they happen more accurately than humans, such as catastrophic weather events or who is at risk of imminent death in a hospital. Reinforcement learning: used with AI, or neural networks, when a model needs to interact with an environment. Managing Model Risk.

Modeling 64

Modeling IT Risk Management Deep Learning 64

Domino Data Lab

APRIL 3, 2019

Also, while surveying the literature two key drivers stood out: Risk management is the thin-edge-of-the-wedge ?for Her talk focuses on “Padlock”, which is a global key-management system at Spotify that also ?handles That reduces the risks of data leaks; for example, an attacker might steal data, but it’ll be encrypted.

Data Governance 84

Data Governance Machine Learning Metadata Big Data 84

CIO Business Intelligence

DECEMBER 6, 2023

Microsoft called the poll an error and promised to investigate, but it already seems to clearly breach several of the company’s own principles of responsible AI usage , such as inform people that they’re interacting with an AI system, and guidelines for human-AI interaction.

IT 129

IT Risk Management Interactive Modeling 129

Ontotext

MAY 5, 2023

It involves specifying individual components, such as objects and their attributes, as well as rules and restrictions governing their interactions. For example, it can identify subsidiaries of a parent company or detect hidden ownership structures that may be indicative of reputational risk, fraud or regulatory violations.

Data Collection 64

Data Collection Risk Data-driven Interactive 64

Cloudera

MAY 4, 2021

Event-driven and streaming architectures enable complex processing on market events as they happen, making them a natural fit for financial market applications. Flink SQL is a data processing language that enables rapid prototyping and development of event-driven and streaming applications. It is sometimes desirable (e.g.,

Marketing 76

Marketing Data-driven Risk Modeling 76

DataRobot

SEPTEMBER 16, 2021

The ability to charge more accurate premiums helps the company mitigate risk and maintain a competitive advantage, which, in turn, also benefits consumers. Exposure is a measure of the unit of risk for an insurance policy. Count of Events can be specified as one of the settings in DataRobot (see Graph 2). Monotonic constraints.

Modeling 52

Modeling Insurance Cost-Benefit Machine Learning 52

Cloudera

AUGUST 21, 2021

It provides direction for a robust business strategy that has taken into account risks and ways to manage them. Better visibility of their customers assures banks that they are not exposing themselves to additional risks in the process. Compared to just two years ago, more customers are now digitally interacting with their bank.

Data-driven 99

Data-driven Digital Transformation Risk Risk Management 99

Smart Data Collective

FEBRUARY 20, 2022

The first step in building these defenses is to understand how users, administrators, or applications interact with a database. Before dwelling on the functionality of DAM solutions, let’s touch upon how they interact with databases that come with tools of their own for access auditing. DAM features. There are different opinions.

Behavioral Analytics 117

Behavioral Analytics Risk Machine Learning Interactive 117

Cloudera

NOVEMBER 18, 2021

The technology switch has fundamentally changed the way Carrefour interacts with its customers, improving the performance of its offer campaigns and better serving customer needs. transactions per day and processing information at a rate of 1k events per second. Now, Carrefour can tailor coupon offers to its customers with ease.

Data Lake 74

Data Lake Cost-Benefit Digital Transformation Risk 74

AWS Big Data

JANUARY 31, 2024

Athena for Apache Spark For analytical endeavors, Athena for Apache Spark offers a simplified notebook experience accessible through the Athena console or Athena APIs, allowing you to build interactive Apache Spark applications. After your notebook is created, you will be redirected to the interactive notebook editor.

Marketing 82

Marketing Analytics Visualization Strategy 82

Domino Data Lab

FEBRUARY 4, 2019

Hotel staff had to nudge people out of the hall, long after that event was supposed to close. Eric’s article describes an approach to process for data science teams in a stark contrast to the risk management practices of Agile process, such as timeboxing. The ability to measure results (risk-reducing evidence).

Data Science 66

Data Science Experimentation Data-driven Machine Learning 66

DataRobot Blog

DECEMBER 20, 2022

The use of artificial intelligence (AI) in the investment sector is proving to be a significant disruptor, catalyzing the connection between the different players and delivering a more vivid picture of the future risk and opportunities across all different market segments. Real estate investments are not an exception.

Management 59

Management Machine Learning Optimization Modeling 59

Alation

MARCH 24, 2022

Both data privacy and data security are critical to mitigate financial, reputational, and compliance risks for enterprises. It is critical that firms view data security as part of governance, risk management, and compliance (GRC). Compliance risk is a commonality between data security and data privacy. Intelligence.

Data Governance 52

Data Governance Risk Data-driven Measurement 52

AWS Big Data

AUGUST 14, 2023

At the same time, unstructured approaches to data mesh management that don’t have a vision for what types of products should exist and how to ensure they are developed are at high risk of creating the same effect through simple neglect. How do we define “risk” and “value” in the context of data products, and how can we measure this?

Management 76

Management Risk Measurement Optimization 76

Jet Global

NOVEMBER 16, 2022

risk and compliance management. management satisfaction. Compliance Risk Management. Also known as integrity risk, compliance risk management can help your company navigate properly through the hoops of your industry’s laws and regulations. progress reviews. action oriented strategic plans.

Reporting 94

Reporting Software Key Performance Indicator Dashboards 94

Jet Global

APRIL 5, 2021

Risk management. The three-statement financial model allows you to explore how your company will perform under multiple circumstances and visualize how different decisions can interact to impact the future of the company. This is achieved through thorough risk management strategies that are continually reviewed.

Modeling 98

Modeling Forecasting Metrics Finance 98

Jet Global

FEBRUARY 15, 2024

2024 is an important year for ESG initiatives as there has been an increase in mandatory ESG disclosures like the Corporate Sustainability Reporting Directive in Europe and the SEC’s proposed rule to disclose emissions and risk management practices for US-based organizations.

Finance 52

Finance Reporting Software Operational Reporting 52

Jet Global

MAY 9, 2024

Here’s how a streaming data pipeline typically works: Data is ingested continuously from one or more sources, such as sensors, log files, user interactions, IoT devices, social media feeds, or other real-time data streams. By processing data as it arrives, streaming data pipelines support more dynamic and agile decision-making.

Data Lake 52

Data Lake Data Warehouse Business Intelligence Machine Learning 52