Managing risk in machine learning

O'Reilly on Data

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.

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A New Era for Global Risk


Disasters drive innovation in the insurance industry. Business Intelligence

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Digital Risk “Techquilibrium” Requires IRM

John Wheeler

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.

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Deepfakes Security Risks


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

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How to Solve 4 Common Challenges of Legacy Information Management

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.

A “PRACtical” View of Emerging Risk Management Technologies

John Wheeler

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.

Strata San Francisco, 2019: Opportunities and Risks

O'Reilly on Data

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

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The Hidden Risk of AI and Big Data


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?

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Data Scalability Raises Considerable Risk Management Concerns

Smart Data Collective

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).

The Fourth Industrial Revolution Risks Leaving Women Behind


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

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Open Source Security Risks and Vulnerabilities to Know in 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.

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Driving Discovery and Experimentation in your Organization

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.

Managing mortgage risk in an uncertain world


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.

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Interview with Pragasen Pather, GM: IT Governance, Risk & Security, Sun International


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).

Risk 195

AI Advances Minimize Risk of Site Accessibility Lawsuits in eCommerce

Smart Data Collective

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.

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Taking Smarter Risks to Monetize Your Data


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.

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Why Data Chain of Custody is Essential to Reducing Product Liability Risks


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.

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How Big Data Analytics Improves Reputation Risk Management In Banking Sector


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.

FP&A Digital Transformation: Balancing Risk & Outcomes


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.

Here’s Why IRM Solutions Are Superior to Archaic GRC Technology

John Wheeler

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.

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4 Ways Big Data Has Made Bluetooth A Terrifying Security Risk

Smart Data Collective

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.

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IRM Is Essential for Digital Transformation Success

John Wheeler

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.

Are You Ready for Some IRM? Gartner’s 2018 Security & Risk Summit Events Span the Globe

John Wheeler

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.

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Why Technology Providers Now “Get IRM”

John Wheeler

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.

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Beyond Explainability: A Practical Guide to Managing Risks in Machine Learning Models


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.

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Can AI Remove The Risk From EHRs?

Smart Data Collective

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.

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Track Debt-to-Equity Ratio for Better Understanding of Risk

Jet Global

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.

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The History, Rewards and Risks of the Proliferation of Biometric Authentication Technology


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.

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GRC 2020: The Approaching Year of Final Demise

John Wheeler

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.

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IRM 2020: Market Momentum Continues

John Wheeler

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.

4 Reasons Why GRC Is a Useless Term

John Wheeler

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).

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Predicting Movie Profitability and Risk at the Pre-production Phase


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.

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Governance in Healthcare: Beyond Compliance, Risk and Analytics

Perficient Data & Analytics

Data & Analytics Healthcare Integration & IT Modernization Governance governance analytics healthcare healthcare analytics healthcare compliance healthcare governance healthcare risk

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Searcher Seismic is utilizing seismic data for the oil and gas industry providing a map to de-risk exploration


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.

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AI For Video Editing Software: Do The Benefits Outweigh The Risks?

Smart Data Collective

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.

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Let Your Data Protect You From Supply Chain Risks


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.

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KDnuggets™ News 19:n36, Sep 25: The Hidden Risk of AI and Big Data; The 5 Sampling Algorithms every Data Scientist needs to know


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

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Supplier Risk Assessment: Now Empowered with Data Science


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

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Managing financial services model risk in an age of big data and AI

IBM Big Data Hub

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.

Top 10 Gartner Emerging Technologies Client Topics for 2019

John Wheeler

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.

IRM Market Visionaries and Challengers Join Forces to Battle Leaders

John Wheeler

In the span of a week, the integrated risk management (IRM) technology market has experienced significant consolidation.

How Florida International University Identifies and Helps At-Risk Students using Machine Learning


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.

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Using Technology to Better Manage Risk in Insurance

Decision Management Solutions

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.