Managing risk in machine learning

O'Reilly on Data

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.

Risk 203

Digital Risk is Primary Focus for Corporate Boards in 2020 & Beyond

John Wheeler

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.

Risk 85

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Global democracy at risk from cyberattack 'onslaught': Microsoft president

DataFloq

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.

Risk 165

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. 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.

Add User Tests to Your Agile Process: Reduce Risk in Shipping New Products

Agile has become the go-to methodology for companies that want to reduce the risk involved in shipping new products. But how do you prevent building items nobody wants? If you wait to get user feedback until after development, then you’ve waited too long.

Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation

Analytics Vidhya

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.

Risk 193

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. 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.

Risk 49

Cloud-Based Supply Chain Risk Management Is Key To A Company’s Future

Smart Data Collective

It’s important to know how to protect your own firm from spend risk, supply chain disruption while enhancing the company’s ability to thrive. It’s difficult to mitigate supply chain risk in the best of times. Mitigate spend risk in real time.

Facebook removes hundreds of QAnon groups, citing public safety risks

DataFloq

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.

Risk 191

How a “PRACtical” Approach to Risk Management Will Aid COVID-19 Recovery Efforts

John Wheeler

As the recovery efforts fully take hold in 2021, a deep understanding of the integrated nature of risks associated with business operations will take center stage. A “PRACtical” Approach Provides a Balanced View of Risk.

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. But those opportunities were balanced against risksrisks that loom large as we discover more powerful ways to apply data using machine learning and artificial intelligence. What about the risks? The risks of a hostile, militarized network are real. Continue reading Strata San Francisco, 2019: Opportunities and Risks

Risk 136

How Banks Are Winning with AI and Automated Machine Learning

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.

Analysis: Stepped up Chinese scrutiny increases investment risk of 'Beast' Ant

DataFloq

The sharper regulatory focus over Ant's cash cow and rapidly growing consumer lending business to curb financial sector risk has emerged as a key concern for potential investors ahead of its likely $35 billion float, the world's largest. By Cheng Leng and Julie Zhu.

Risk 166

U.S. tightens exports to China's chipmaker SMIC, citing risk of military use

DataFloq

SHANGHAI/WASHINGTON (Reuters) - The United States has imposed restrictions on exports to China's biggest chip maker SMIC after concluding there is an "unacceptable risk" equipment supplied to it could be used for military purposes.

Risk 197

Musk says Tesla to use new batteries, tech at Berlin factory; flags production risk

DataFloq

(Reuters) - Tesla Inc Chief Executive Elon Musk said on Wednesday the company will produce Model Y with a new structural battery design and technology at its Berlin factory next year and that could result in a "significant production risk".

Risk 181

Britain says Huawei security failings pose long-term risk: govt report

DataFloq

LONDON (Reuters) - China's Huawei Technologies has failed to convince British security officials that the security risks of using its products in UK national infrastructure can be adequately managed, according to a government report released on Thursday. By Jack Stubbs.

Risk 170

Deepfakes Security Risks

KDnuggets

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

Risk 62

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

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. The application of big data to your organization’s risk management system ensures that you get a comprehensive system that will safeguard your data, revenue streams, and predict changes that may affect the growth of the company (either negatively or positively). Vendor Risk Management (VRM).

Connected And Autonomous Vehicles: A Privilege Or A Cyber-Risk?

DataFloq

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. No matter what your thoughts or opinions concerning connected and autonomous vehicles, 2020 will see their continued rise and the imminent deployment of them is likely in the foreseeable future.

Risk 199

How To Manage The Risks Within Enterprise Analytics

DataFloq

By defining the roles & rights within the data, organisations can also control and restrict the data and reports access for individuals belonging to different functions, departments and hierarchy.How can organisations rightly position themselves to address the opportunities that arise from the emergence of self-service analytics & what are the risks that organisations need to avoid?The Today, organisations are becoming increasingly data-driven.

Risk 185

The Hidden Risk of AI and Big Data

KDnuggets

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?

Risk 85

How Banks Are Winning with AI and Automated Machine Learning

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.

Managing mortgage risk in an uncertain world

Cloudera

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.

Risk 75

Zoom shares soar, Wall Street warns of risks when lockdowns ease

DataFloq

(Reuters) - Wall Street analysts raised price targets for Zoom Video Communications on Tuesday as its shares hit a record high, while warning that a return to office work could hamper its success in luring small corporate customers.

Risk 214

Open Source Security Risks and Vulnerabilities to Know in 2019

DataFloq

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. One of the biggest security risks that still continues to plague commercial software development teams is the issue of remediating vulnerabilities too slowly after a fix has already been released. .

Risk 198

The Fourth Industrial Revolution Risks Leaving Women Behind

Corinium

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

Risk 150

Serverless and Containers: How to Choose the Right Application Strategy

Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica

When it comes to the modern tech stack, one of the fastest changing areas is around containers, serverless, and choosing the ideal path to cloud native computing. How do you as a technology leader point your team in the right direction, especially given how quickly this is evolving?

20 for 20: IRM Critical Capabilities & Top 20 Functions / Features

John Wheeler

We continue our “20 for 20” theme this year by highlighting the integrated risk management (IRM) critical capabilities and top 20 software functions / features. Risk & Control Documentation /Assessment. Risk Mitigation Action Planning.

Spot Supply Chain Risk with Data Mastering

Tamr

Warren Buffett, the world’s most famous investor, has a great quote about managing risk. “It’s This is prudent investment advice – but it’s also a great lesson for today’s supply chain leaders about risk exposure. The past few weeks have revealed that most companies actually have a fairly poor understanding about their exposure to risk. This requires an accurate and trusted pipeline of data that can help answer critical questions to identify supply chain risk.

Risk 59

Streamlining the AI model risk management process

IBM Big Data Hub

But some AI models can add complexity and risk. You can minimize that risk and also streamline the process of model validation by using IBM Cloud Pak for Data , a data and AI platform that includes IBM Watson Studio, Watson Machine Learning, Watson OpenScale and other services Many financial firms are increasing their use of AI models because they can represent the real world more accurately, and they can deliver better projections than traditional, rule-based models.

Ways in Which AI can Improve Enterprise Risk Management

bridgei2i

However, risk management is no way lagging. ERM or Enterprise Risk Management is being used to identify crises long before it blows up into a huge problem. AI is being used to assess, prioritize, and mitigate risks in the enterprise so that the business operations do not take a hit.

Why “Build or Buy?” Is the Wrong Question for Analytics

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. Artificial Intelligence Risk Management SmartData Collective Exclusive accessiblity AI artificial intelligence ecommerce lawsuitsAI has become an important factor in the ecommerce industry.

Risk 63

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

Corinium

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). The internal ecosystem must be complimented with external partnerships and we need to start working together to redefine our end goal and purpose as a security professional.

Risk 150

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. Today, the company has discovered that data has created a number of risks. This means that users’ personal information is at risk every time they use a Bluetooth device.

Risk 76

How Big Data Analytics Improves Reputation Risk Management In Banking Sector

DataFloq

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. We will explore the role of Big Data Analytics in catering a support mechanism to the industry. I will also share hypothetical scenarios for the audience and the potential of this advanced technology in harnessing the best practices. Current Challenges.

5 Early Indicators Your Embedded Analytics Will Fail

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.

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. Whether it is to bolster performance in support of new digital transformation efforts or to reduce spend associated with bloated governance, risk and compliance (GRC) bureaucracies, the need for better solutions is real. That’s why Gartner has been promoting integrated risk management (IRM) solutions for the past 4 years.

Risk 63

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. The Q4 2018 Emerging Risks Survey, designed by Gartner, captures and analyzes senior executives’ opinions on emerging risks and provides actionable insight on identifying and mitigating these risks.

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.

Risk 68

Taking Smarter Risks to Monetize Your Data

Sisense

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. In an age where every company is making moves to be more data-driven, those that figure out how to efficiently monetize their data insights will be the biggest winners. The process of translating data into new revenue is not easy.

Risk 63

How to Package and Price Embedded Analytics

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.