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Risk Related Topics 
DataKitchen
JUNE 27, 2022
Chris Bergh shares how to manage data quality and pipeline risk through implementing a 'Mission Control' center for DataOps. The post DataOps Risk Insurance & Mission Control first appeared on DataKitchen.
John Wheeler
NOVEMBER 24, 2020
However, for security and risk management professionals it can make a huge difference. Take for example the terms cyber risk, digital risk and the digitalization of risk management. Viewed together, the three terms represent key aspects of integrated risk management (IRM).
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DataFloq
DECEMBER 1, 2021
LONDON (Reuters) -Facebook risks missing the point of metaverse - and a coming shift in consumers' behaviour - if it fails to permit digital ownership, according to some of the virtual world's pioneers. (Corrects to fix literal in last paragraph). By Elizabeth Howcroft.
CIO
AUGUST 25, 2022
About 41% of boards of directors in enterprises, according to a survey spanning 273 respondents across US, Europe and APAC, viewed geopolitical power shifts and turbulence as one of the biggest risks to performance.
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Many companies are looking to redesign their supply chain network to lower costs, improve service levels and reduce risks in the new year. Check out our updated Buyer's Guide for Supply Chain Network Design Software with research insights and learnings!
DataFloq
MARCH 27, 2022
Increasing urbanization and the nature-exploiting attitude of resource-hungry humankind exposed almost every region on the planet earth to disasters and climate risks. Emerging Technologies for Disaster Risk Management.
Teradata
APRIL 26, 2022
Managing the new class of emerging risks requires infusing the principles of resiliency and efficient risk analytics into traditional risk management frameworks
CIO
SEPTEMBER 22, 2022
At the foundation of cybersecurity is the need to understand your risks and how to minimize them. Individuals and organizations often think about risk in terms of what they’re trying to protect. But there is more to cybersecurity risk than just protecting data.
DataFloq
JUNE 28, 2021
on the risks inherent in the use of so-called 'virtual assets' as a means of exchange, as a store of. By Anthony Esposito and Abraham Gonzalez.
CIO
JULY 19, 2022
Phishing/pharming, card testing, identity theft, and first-party misuse remain the most prevalent fraud attacks, each affecting more than three in 10 merchants globally, according to 2022 Global Fraud Report , by the Merchants Risk Council, Cybersource, and Verifi.
DataFloq
JUNE 30, 2021
MOSCOW (Reuters) - Google risks being fined for not complying with personal data legislation in Russia, communications regulator Roskomnadzor said on Wednesday.
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Explore the most common use cases for network design and optimization software. This eBook shares how supply chain leaders leverage their supply chain design software to tackle a variety of challenges and questions.
Dataiku
JULY 8, 2022
This blog summarizes and shares Soral’s perspective on the risk, roles, and realities of AI Governance from the session. In a recent Dataiku Product Days session, Krishna Vadakattu, Senior Product Manager at Dataiku, interviewed Sulabh Soral, Chief AI Officer Deloitte Consulting, U.K.
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Analytics Vidhya
NOVEMBER 23, 2021
Introduction to Classification Algorithms In this article, we shall analyze loan risk using 2 different supervised learning classification algorithms. The post Loan Risk Analysis with Supervised Machine Learning Classification appeared first on Analytics Vidhya.
CIO
SEPTEMBER 21, 2022
Meeting these challenges requires IT leaders to ruthlessly prioritize: taking action to mitigate escalating cyber and compliance risks by managing their attack surface more effectively amidst continued skills shortages. These are challenging times to be a CIO.
Analytics Vidhya
DECEMBER 21, 2020
The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya. Intermediate Machine Learning Python Structured Data Supervised Technique blogathon Model risk management
DataFloq
MAY 20, 2021
Federal Reserve chief Jerome Powell turned up the heat on cryptocurrencies on Thursday, saying they pose risks to financial stability, and indicating that greater regulation of the increasingly popular electronic currency may be warranted. By Howard Schneider and David Lawder.
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Traditionally, planning teams have aimed for one number, one plan. But with uncertainty on the rise, they need to build more flexibility into their process to account for changing business conditions. It’s time to shift gears and embrace variability with different scenarios.
The Data Administration Newsletter
APRIL 20, 2021
Modern airplanes travel the world through all kinds of weather via the use of radar. Oxford Dictionary defines radar as “a system for detecting the presence, direction, distance and speed of an object.
DataFloq
SEPTEMBER 28, 2021
By Byron Kaye. SYDNEY (Reuters) - CNN said it has stopped posting articles on Australian Facebook Inc pages, citing a court ruling that publishers are liable for defamation in public comments and the social media firm's refusal to help it disable comments in the country.
DataFloq
AUGUST 19, 2020
The world's biggest social network, saying it was expanding its policy on perceived risks to public safety, also imposed restrictions on the remaining 1,950 public and private QAnon groups it could find. By Joseph Menn.
Analytics Vidhya
MARCH 1, 2022
Banks rapidly recognize the increased need for comprehensive credit risk […]. The post Gaussian Naive Bayes Algorithm for Credit Risk Modelling appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
John Wheeler
APRIL 16, 2021
This week, we kicked-off a major research effort to explore current innovations in the rapidly expanding integrated risk management (IRM) market. With an integrated risk view, Gartner advises the use of RiskTech to identify material operational risks.
DataFloq
NOVEMBER 19, 2020
RISK-ON TRADE. By Tom Wilson and Ritvik Carvalho. LONDON (Reuters) - Is it an inflation hedge? A currency? Or just another niche asset to take a punt on? Bitcoin is in the headlines, re-kindling a debate over its true role and the drivers behind its latest scintillating rally.
DataKitchen
JUNE 1, 2022
How do other organizations solve this risk problem? The biggest risk of all is space flight. How do SpaceX and NASA manage risk? The post DataOps Mission Control And Managing Your Data Infrastructure Risk first appeared on DataKitchen. DataOps Mission Control.
John Wheeler
AUGUST 19, 2019
Gartner’s “Hype Cycle for Risk Management, 2019” report was published almost a month ago and reader response has been overwhelmingly positive. In this year’s report, we highlight the need for a “PRACtical” view of risk management technologies to fuel digital business growth. Hype Cycle for Risk Management, 2019 Source: Gartner. Risk management continues to mature and is offering a more practical approach to CEOs looking to improve.
Advertiser: Data Robot
Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.
DataFloq
OCTOBER 8, 2021
LONDON (Reuters) - New rules will be needed to deal with operational risks from banks relying on outsourced 'cloud' computing from Amazon, Google, Microsoft and others for providing services to customers, the Bank of England said on Friday. By Huw Jones.
John Wheeler
AUGUST 28, 2020
Digital risk continues to grow in importance for corporate boards as they recognize the critical nature of digital business transformation today. Not only that, but 49% of directors cite the need to reduce legal, compliance and reputation risk related to digital investments.
O'Reilly on Data
NOVEMBER 13, 2018
The Future of Privacy Forum and Immuta recently released a report with some great suggestions on how one might approach machine learning projects with risk management in mind: When you’re working on a machine learning project, you need to employ a mix of data engineers, data scientists, and domain experts. Continue reading Managing risk in machine learning Considerations for a world where ML models are becoming mission critical.
DataFloq
APRIL 10, 2020
One thing we continue to hear again and again in regards to coming technological advancements relates to the benefits of connected and autonomous vehicles and how they will drastically improve our way of life.
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that you’re at risk for an analytics emergency. teams risk falling straight off it. requests, you risk unhappy customers and skyrocketing. And ignoring the warning signs means you risk losing. Updating your application’s dashboards and reporting features.
KDnuggets
MARCH 23, 2022
How sound risk management acts as a catalyst to building successful AI/ML models. KDnuggets Originals Machine Learning
DataFloq
MARCH 12, 2020
Today, organisations are becoming increasingly data-driven. Business users now have greater than ever access to data & analytics technologies so that they can obtain current insights on their KPIs.
Smart Data Collective
SEPTEMBER 13, 2021
Remote working has also created greater data security risks. Risk assessments. Enterprises must constantly review and address new risks and changes in protecting data. The program defines the categories of data priority from low-risk, to sensitive, to critical.
DataFloq
OCTOBER 21, 2020
LONDON (Reuters) - Democracies around the world are under a constant barrage of cyberattacks that must be identified, called out and stopped, Microsoft President Brad Smith told a gathering of security and defence officials on Wednesday.
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for all your users, you risk upsetting customers who don’t care about and may never. unnecessary risk and results in incorrect (and sometimes dangerous) decisions. for an add-on product or capability and risk leaving potential revenue on the table.
Smart Data Collective
JUNE 19, 2022
AI is particularly helpful with managing risks. How AI Can Help Suppliers Manage Risks Better. Since the War in Ukraine, Covid-19 crisis and other problems have worsened these risks, AI is becoming more important for companies that want to mitigate them. Failure or Delay Risk.
DataFloq
AUGUST 27, 2021
(Reuters) -China is framing rules to ban internet companies whose data poses potential security risks from listing outside the country, including in the United States, according to a person familiar with the matter.
John Wheeler
OCTOBER 21, 2019
Over the past month, I’ve been speaking to various groups to help them prepare for the onslaught of digital risks in their organizations. A common theme is the need for greater risk quantification beyond the realm of traditional, qualitative governance, risk and compliance (GRC) approaches. Digital Risk Management – Gartner. However, in the pursuit of techquilibrium, organizations must take their risk analysis a step further to the strategic view.
DataFloq
AUGUST 12, 2021
LONDON (Reuters) - Banks are taking steps to mitigate risks from their increasing use of external cloud computing services, a survey by Harris Poll and Google Cloud said on Thursday.
Speaker: William Hord, Vice President of ERM Services
Join us as we discuss the various tangents of data and the change management process that will help you make better risk-based business decisions to save time and money for your organization.
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