Expert insights. Personalized for you.
For modern organizations, data is the ultimate building block. High profile companies are using data to build profitable new products, new lines of business, even entirely new industries. It’s the starting point and the finish line for every new business creation. MORE
1) State of Risk Management, 2018 . Risk management continues to be an area of growing maturity and investment for most organizations, as the risk landscape becomes increasingly complex and interconnected. 2) How IRM Fits Into a Digital Risk Management Solution Stack. MORE
Data & Analytics Healthcare Integration & IT Modernization Governance governance analytics healthcare healthcare analytics healthcare compliance healthcare governance healthcare risk MORE
The utilization of biometrics as a tool for securing and verifying identity has been standard practice among government and law enforcement agencies for quite some time now. MORE
Data science with its deep learning algorithms allows for data-driven assessment of supplier risks. Is this approach good enough to undermine the position of a traditional one? Let’s explore how it works and what its advantages and limitations are MORE
Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. and even set their risk tolerance. MORE
In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation. MORE
Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks. MORE
This past week, I enjoyed meeting with over 1,000 attendees at our annual Gartner Security and Risk Management Conference in London. At the event, the overwhelming feedback received is that integrated risk management (IRM) is needed now more than ever. MORE
Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more. KDnuggets 2019 Issues AI Algorithms Beginners Python Risks Sampling MORE
On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology. Big data has created a number of security risks for Bluetooth users. Bluetooth Security Risks in the Age of Big Data. MORE
The Relationship between Big Data and Risk Management. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Tips for Improving Risk Management When Handling Big Data. Vendor Risk Management (VRM). MORE
Gartner clients are consistently searching for ways to improve their risk management programs to deliver greater value to the enterprise. That’s why Gartner has been promoting integrated risk management (IRM) solutions for the past 4 years. MORE
We spoke with two faculty members at Florida International University (FIU) to learn how they address this issue to successfully help at-risk students overcome obstacles in their academic careers. MORE
The Fourth Industrial Revolution is, ostensibly, upon us. The term was coined in 2016 by Klaus Schwab, the founder and executive chairman of the World Economic Form. Data Science Africa MORE
Continue reading Managing risk in machine learning Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September. MORE
Gartner’s “Hype Cycle for Risk Management, 2019” report was published almost a month ago and reader response has been overwhelmingly positive. Hype Cycle for Risk Management, 2019 Source: Gartner. MORE
It has been 5 years since Gartner embarked on the journey to enhance our coverage of the risk management technology marketplace. These end-user needs and resulting demand led to the definition of a new technology marketplace – integrated risk management (IRM). MORE
billion by 2026 , the potential risk to patients can rise as well. With a growing number of recalls, now considered one of the most serious risks to public health, the healthcare industry is at a critical juncture for staying ahead of a largely avoidable problem before it snowballs. MORE
The post Can AI Remove The Risk From EHRs? When the Obama administration authorized the law that would fund the expansion of electronic health records (EHRs), the idea was that this would transform American healthcare. Records would become readily portable and individuals and their doctors would have easy access to this information when it’s needed most. MORE
Searcher’s leading edge data sets are used by their customers to de-risk their exploration portfolios in a cost-effective manner. Searcher Seismic is utilizing the data for the Oil and Gas industry providing a map to de-risk exploration. MORE
Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data. What about the risks? The risks of a hostile, militarized network are real. Continue reading Strata San Francisco, 2019: Opportunities and Risks MORE
We have seen that mastered supplier data enriched with various strategic data sources continue to help large enterprises put in place new systems to not only generate additional insights, but mitigate risks of supply chain disruptions that could cost them millions of dollars. This risk is particularly tricky to manage given the current global economy with multiple layers of third-party risks. Identify At-Risk Suppliers Based on Another Supplier’s Performance. MORE
Over the past month, I’ve been speaking to various groups to help them prepare for the onslaught of digital risks in their organizations. Digital Risk Management – Gartner. MORE
This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. 2019 Sep News Explainability Immuta Machine Learning Privacy Risks White PaperDownload now. MORE
Despite the pros of open source projects, there are issues with security risks and code vulnerabilities when using components from such projects. This article informs you of some of the main open source security risks and vulnerabilities you should know about in 2019. MORE
Primarily because it gives companies a clear indication of their risk exposure as they move forward in an uncertain economy. Becoming overleveraged with debt raises the risk of insolvency because of the heavy repayment burden. MORE
2020 marks Gartner’s fifth year of integrated risk management (IRM) technology coverage and the market continues to grow at a rapid pace. These new digital products and services create a host of new risks that require IRM technology. MORE
How are you creating a better-integrated security ecosystem in your organisation? My recipe to create an integrated ecosystem is to merge technology (operational and infrastructure) with business value(process) and culture(people). MORE
Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. One of the major trends receiving overwhelming attendee support is GRC (governance, risk and compliance) technology is quickly fading in use. MORE
Any financial services firm using AI must revisit its approach to model risk management. Watson OpenScale helps organizations validate and monitor AI models to enhance compliance with regulations, provide fair and explainable outcomes, and mitigate business risk. MORE
Disasters drive innovation in the insurance industry. Business Intelligence MORE
When embracing better-practice, balancing risk to return can be complex and choosing a path that delivers high business value, with minimum disruption is not always easy. This approach meant they avoided the risk of waiting 6-12 months to get any result. MORE
The trouble is, mortgage lenders persist in relying on historical macro-economic assumptions in their models so they risk repeating the errors of a decade ago when banks – and their regulators – failed to recognize the warning signs from a far richer source: low-level micro-economic data. They also fail to model the effects of fear and the risk of contagion. Risk management 3.0. The post Managing mortgage risk in an uncertain world appeared first on Cloudera Blog. MORE
However, there are other risks from a societal standpoint. There is already a risk that they can prejudicially tent the jury. Critics have raised some valid concerns about the risks of artificial intelligence in video editing. MORE
in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Let’s dive into greater detail on the second lever – Manage Risk Better. One of the most significant ways in which carriers manage risk is through the underwriting, adjustment and pricing process. The use of predictive analytics in the underwriting decision increases the efficiency and consistency of risk evaluation. MORE
Now, a new benefit of AI is joining the list: avoiding the risk of website accessibility lawsuits. The post AI Advances Minimize Risk of Site Accessibility Lawsuits in eCommerce appeared first on SmartData Collective. AI has become an important factor in the ecommerce industry. MORE
The post Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation appeared first on Analytics Vidhya. Data Science Machine Learning R Credit Risk data science machine learningIntroduction Machine learning is disrupting multiple and diverse industries right now. One of the biggest industries to be impacted – finance. Functions like fraud. MORE
2019 Sep Opinions AI Big Data Causation Correlation Overfitting RiskWith recent advances in AI being enabled through access to so much “Big Data” and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong? MORE
In the banking industry, trust is the largest bankable asset for any institution and its risk profiling happens to be the most volatile, complex, and regressional one among the non-systematic risks. MORE
In addition to some of the likely topics such as blockchain and AI, we are also seeing great interest in how TSPs can offer better risk management and security capabilities. MORE
Risk Related Topics O'Reilly on Data
NOVEMBER 13, 2018
Continue reading Managing risk in machine learning Considerations for a world where ML models are becoming mission critical. In this post, I share slides and notes from a keynote I gave at the Strata Data Conference in New York last September.
Corinium
NOVEMBER 18, 2019
Disasters drive innovation in the insurance industry. Business Intelligence
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
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. Digital Risk Management – Gartner.
KDnuggets
JANUARY 10, 2020
Deepfakes have instilled panic in experts since they first emerged in 2017. Microsoft and Facebook have recently announced a contest to identify deepfakes more efficiently. 2020 Jan Opinions AI Deep Fakes Security
Speaker: Chris McLaughlin, Chief Marketing Officer and Chief Product Officer, Nuxeo
After 20 years of Enterprise Content Management (ECM), businesses still face many of the same challenges with finding and managing information. Join Chris McLaughlin, CMO and CPO of Nuxeo, as he examines four common business challenges that these legacy ECM systems pose and how they can be addressed with a more modern approach.
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. Hype Cycle for Risk Management, 2019 Source: Gartner.
O'Reilly on Data
APRIL 12, 2019
Balancing risk and reward is a necessary tension we'll need to understand as we continue our journey into the age of data. What about the risks? The risks of a hostile, militarized network are real. Continue reading Strata San Francisco, 2019: Opportunities and Risks
|
KDnuggets
SEPTEMBER 20, 2019
2019 Sep Opinions AI Big Data Causation Correlation Overfitting RiskWith recent advances in AI being enabled through access to so much “Big Data” and cheap computing power, there is incredible momentum in the field. Can big data really deliver on all this hype, and what can go wrong?
Smart Data Collective
JUNE 19, 2019
The Relationship between Big Data and Risk Management. While the sophisticated Internet of Things can positively impact your business, it also carries a significant risk of data misuse. Tips for Improving Risk Management When Handling Big Data. Vendor Risk Management (VRM).
Corinium
AUGUST 6, 2019
The Fourth Industrial Revolution is, ostensibly, upon us. The term was coined in 2016 by Klaus Schwab, the founder and executive chairman of the World Economic Form. Data Science Africa
DataFloq
MAY 16, 2019
Despite the pros of open source projects, there are issues with security risks and code vulnerabilities when using components from such projects. This article informs you of some of the main open source security risks and vulnerabilities you should know about in 2019.
Speaker: Teresa Torres, Product Discovery Coach, Product Talk, David Bland, Founder and CEO, Precoil, and Hope Gurion, Product Coach and Advisor, Fearless Product LLC
If you want to build what matters, you can't move forward blindly. But to make progress, you can't let things slow to a crawl while you focus resources on gathering data. This is where continuous discovery and experimentation come in. Join Teresa Torres (Product Discovery Coach, Product Talk), David Bland (Founder, Precoil), and Hope Gurion (Product Coach and Advisor, Fearless Product) in a panel discussion as they cover how - and why - to build a culture of discovery and experimentation in your organization.
Cloudera
MARCH 28, 2019
The trouble is, mortgage lenders persist in relying on historical macro-economic assumptions in their models so they risk repeating the errors of a decade ago when banks – and their regulators – failed to recognize the warning signs from a far richer source: low-level micro-economic data. They also fail to model the effects of fear and the risk of contagion. Risk management 3.0. The post Managing mortgage risk in an uncertain world appeared first on Cloudera Blog.
|
|
Corinium
NOVEMBER 19, 2019
How are you creating a better-integrated security ecosystem in your organisation? My recipe to create an integrated ecosystem is to merge technology (operational and infrastructure) with business value(process) and culture(people).
Smart Data Collective
AUGUST 2, 2019
Now, a new benefit of AI is joining the list: avoiding the risk of website accessibility lawsuits. The post AI Advances Minimize Risk of Site Accessibility Lawsuits in eCommerce appeared first on SmartData Collective. AI has become an important factor in the ecommerce industry.
Sisense
SEPTEMBER 5, 2019
For modern organizations, data is the ultimate building block. High profile companies are using data to build profitable new products, new lines of business, even entirely new industries. It’s the starting point and the finish line for every new business creation.
Cloudera
FEBRUARY 24, 2020
billion by 2026 , the potential risk to patients can rise as well. With a growing number of recalls, now considered one of the most serious risks to public health, the healthcare industry is at a critical juncture for staying ahead of a largely avoidable problem before it snowballs.
DataFloq
DECEMBER 15, 2019
In the banking industry, trust is the largest bankable asset for any institution and its risk profiling happens to be the most volatile, complex, and regressional one among the non-systematic risks.
Jedox
APRIL 10, 2019
When embracing better-practice, balancing risk to return can be complex and choosing a path that delivers high business value, with minimum disruption is not always easy. This approach meant they avoided the risk of waiting 6-12 months to get any result.
John Wheeler
MAY 2, 2019
Gartner clients are consistently searching for ways to improve their risk management programs to deliver greater value to the enterprise. That’s why Gartner has been promoting integrated risk management (IRM) solutions for the past 4 years.
Smart Data Collective
MAY 15, 2019
On the other hand, big data has created a number of security risks that they need to be aware of, especially with brands leveraging Hadoop technology. Big data has created a number of security risks for Bluetooth users. Bluetooth Security Risks in the Age of Big Data.
John Wheeler
DECEMBER 18, 2018
Last week, I had the distinct privilege to join my Gartner colleagues from our Risk Management Leadership Council in presenting the Q4 2018 Emerging Risk Report. We hosted more than 500 risk leaders across the globe in our exploration of the most critical risks.
John Wheeler
APRIL 30, 2018
1) State of Risk Management, 2018 . Risk management continues to be an area of growing maturity and investment for most organizations, as the risk landscape becomes increasingly complex and interconnected. 2) How IRM Fits Into a Digital Risk Management Solution Stack.
John Wheeler
SEPTEMBER 16, 2019
This past week, I enjoyed meeting with over 1,000 attendees at our annual Gartner Security and Risk Management Conference in London. At the event, the overwhelming feedback received is that integrated risk management (IRM) is needed now more than ever.
KDnuggets
SEPTEMBER 20, 2019
This white paper provides the first-ever standard for managing risk in AI and ML, focusing on both practical processes and technical best practices “beyond explainability” alone. 2019 Sep News Explainability Immuta Machine Learning Privacy Risks White PaperDownload now.
Smart Data Collective
APRIL 18, 2019
The post Can AI Remove The Risk From EHRs? When the Obama administration authorized the law that would fund the expansion of electronic health records (EHRs), the idea was that this would transform American healthcare. Records would become readily portable and individuals and their doctors would have easy access to this information when it’s needed most.
Jet Global
JANUARY 20, 2020
Primarily because it gives companies a clear indication of their risk exposure as they move forward in an uncertain economy. Becoming overleveraged with debt raises the risk of insolvency because of the heavy repayment burden.
DataFloq
DECEMBER 18, 2019
The utilization of biometrics as a tool for securing and verifying identity has been standard practice among government and law enforcement agencies for quite some time now.
John Wheeler
JULY 15, 2019
Gartner kicked-off it’s global series of 2019 Security & Risk Management Summit Conferences last month in Washington, DC. One of the major trends receiving overwhelming attendee support is GRC (governance, risk and compliance) technology is quickly fading in use.
John Wheeler
JANUARY 30, 2020
2020 marks Gartner’s fifth year of integrated risk management (IRM) technology coverage and the market continues to grow at a rapid pace. These new digital products and services create a host of new risks that require IRM technology.
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. These end-user needs and resulting demand led to the definition of a new technology marketplace – integrated risk management (IRM).
Insight
FEBRUARY 19, 2020
Using variability in machine learning predictions as a proxy for risk can help studio executives and producers decide whether or not to green light a film project Photo by Kyle Smith on Unsplash Originally posted on Toward Data Science. and even set their risk tolerance.
Perficient Data & Analytics
JANUARY 29, 2019
Data & Analytics Healthcare Integration & IT Modernization Governance governance analytics healthcare healthcare analytics healthcare compliance healthcare governance healthcare risk
Cloudera
FEBRUARY 11, 2020
Searcher’s leading edge data sets are used by their customers to de-risk their exploration portfolios in a cost-effective manner. Searcher Seismic is utilizing the data for the Oil and Gas industry providing a map to de-risk exploration.
Smart Data Collective
JUNE 14, 2019
However, there are other risks from a societal standpoint. There is already a risk that they can prejudicially tent the jury. Critics have raised some valid concerns about the risks of artificial intelligence in video editing.
Tamr
MARCH 26, 2019
We have seen that mastered supplier data enriched with various strategic data sources continue to help large enterprises put in place new systems to not only generate additional insights, but mitigate risks of supply chain disruptions that could cost them millions of dollars. This risk is particularly tricky to manage given the current global economy with multiple layers of third-party risks. Identify At-Risk Suppliers Based on Another Supplier’s Performance.
KDnuggets
SEPTEMBER 25, 2019
Learn about unexpected risk of AI applied to Big Data; Study 5 Sampling Algorithms every Data Scientist needs to know; Read how one data scientist copes with his boring days of deploying machine learning; 5 beginner-friendly steps to learn ML with Python; and more. KDnuggets 2019 Issues AI Algorithms Beginners Python Risks Sampling
ScienceSoft
APRIL 30, 2019
Data science with its deep learning algorithms allows for data-driven assessment of supplier risks. Is this approach good enough to undermine the position of a traditional one? Let’s explore how it works and what its advantages and limitations are
IBM Big Data Hub
JANUARY 28, 2020
Any financial services firm using AI must revisit its approach to model risk management. Watson OpenScale helps organizations validate and monitor AI models to enhance compliance with regulations, provide fair and explainable outcomes, and mitigate business risk.
John Wheeler
DECEMBER 5, 2019
In addition to some of the likely topics such as blockchain and AI, we are also seeing great interest in how TSPs can offer better risk management and security capabilities.
John Wheeler
FEBRUARY 11, 2019
In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation.
DataRobot
JUNE 5, 2019
We spoke with two faculty members at Florida International University (FIU) to learn how they address this issue to successfully help at-risk students overcome obstacles in their academic careers.
Decision Management Solutions
APRIL 23, 2019
in which he states there are only three levers of value in insurance: Sell More, Manage Risk Better (aka underwriting and adjusting), and Cost Less to Operate. Let’s dive into greater detail on the second lever – Manage Risk Better. One of the most significant ways in which carriers manage risk is through the underwriting, adjustment and pricing process. The use of predictive analytics in the underwriting decision increases the efficiency and consistency of risk evaluation.
76 
Let's personalize your content