Analytics Vidhya

JUNE 5, 2023

Cardiovascular disease (CVD) prevention is crucial for identifying at-risk individuals and providing timely intervention. However, traditional risk assessment models like the Framingham Risk Score (FRS) have shown limitations, particularly in accurately estimating risk for socioeconomically disadvantaged populations.

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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. These algorithms are decision trees and random forests.

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Analytics Vidhya

APRIL 29, 2023

Threats, Risks and Solutions appeared first on Analytics Vidhya. These alarming numbers underscore the need for robust data security measures to protect sensitive information such as personal data, […] The post What is Data Security?

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Analytics Vidhya

JULY 27, 2023

While some believe that AI will merely complement human efforts, Altman holds a different view, asserting that […] The post OpenAI CEO Sam Altman: Jobs at Risk as AI Proves Its Might appeared first on Analytics Vidhya.

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Analytics Vidhya

MAY 23, 2023

They have called for the […] The post OpenAI Leaders Write About The Risk Of AI, Suggest Ways To Govern appeared first on Analytics Vidhya. The lab published a blog on May 22nd by Sam Altman, Greg Brockman, and Ilya Sutskever. They are all key figures behind the development of ChatGPT.

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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.

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Analytics Vidhya

DECEMBER 21, 2020

The post Model Risk Management And the Role of Explainable Models(With Python Code) appeared first on Analytics Vidhya. This article was published as a part of the Data Science Blogathon. Photo by h heyerlein on Unsplash Introduction Similar to rule-based mathematical.

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Analytics Vidhya

MARCH 29, 2023

This collected data is then sold to advertisers, marketing companies, and law […] The post Is Your Privacy at Risk? How Fog Data Science Trades Location Data appeared first on Analytics Vidhya.

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CIO Business Intelligence

FEBRUARY 20, 2024

While cloud risk analysis should be no different than any other third-party risk analysis, many enterprises treat the cloud more gently, taking a less thorough approach. Interrelations between these various partners further complicate the risk equation. That’s where the contract comes into play.

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Risk Enterprise Strategy Snapshot 122

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.

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Smart Data Collective

JUNE 19, 2022

AI is particularly helpful with managing risks. Many suppliers are finding ways to use AI and data analytics more effectively. How AI Can Help Suppliers Manage Risks Better. Here are some of the risks that organizations face in dealing with suppliers, and what they can do to mitigate those risks with artificial intelligence.

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Analytics Vidhya

MARCH 6, 2019

The post Hands-On Introduction to creditR: An Amazing R Package to Enhance Credit Risk Scoring and Validation appeared first on Analytics Vidhya. One of the biggest industries to be impacted – finance. Functions like fraud.

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Smart Data Collective

NOVEMBER 22, 2022

Predict Price Movements with Predictive Analytics. AI has also led to the inception of predictive analytics technology, which can also help bitcoin investors. Predictive analytics algorithms are able to evaluate a number of different variables and identify future price movements. The Risk to Reward Is Skewed.

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Smart Data Collective

JANUARY 6, 2022

However, the risks of using this authentication option are widely known, as hackers can steal, buy, or guess passwords to compromise networks and access sensitive data. The introduction of passwordless authentication is thought to mitigate these risks. AI has also led to new discussions about the role of passwords.

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Smart Data Collective

MAY 7, 2023

million —and organizations are constantly at risk of cyber-attacks and malicious actors. In order to protect your business from these threats, it’s essential to understand what digital transformation entails and how you can safeguard your company from cyber risks. What is cyber risk?

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IBM Big Data Hub

MAY 8, 2023

This blog continues the discussion, now investigating the risks of adopting AI and proposes measures for a safe and judicious response to adopting AI. Risk and limitations of AI The risk associated with the adoption of AI in insurance can be separated broadly into two categories—technological and usage.

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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.

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Machine Learning Risk Management Statistics 220

CIO Business Intelligence

APRIL 8, 2024

Nearly 10 years ago, Bill James, a pioneer in sports analytics methodology, said if there’s one thing he wished more people understood about sabermetrics, pertaining to baseball, it’s that the data is not the point. Improving player safety in the NFL The NFL is leveraging AI and predictive analytics to improve player safety.

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CIO Business Intelligence

MAY 17, 2022

Even if the AI apocalypse doesn’t come to pass, shortchanging AI ethics poses big risks to society — and to the enterprises that deploy those AI systems. The following real-world implementation issues highlight prominent risks every IT leader must account for in putting together their company’s AI deployment strategy.

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CIO Business Intelligence

OCTOBER 13, 2022

Knowing your risk level as you navigate a large venue can help you avoid crowds and stay safely within your bubble – all of which empowers you to enjoy the experience all the more. Live at Eurovision: a Bluetooth App to Navigate Covid Risk. A New Normal: Bubble-Up for Safety at Live Events with Flockey. So, how does it work?

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Cloudera

JULY 15, 2021

We recently hosted a roundtable focused on o ptimizing risk and exposure management with data insights. For financial institutions and insurers, risk and exposure management has always been a fundamental tenet of the business. Now, risk management has become exponentially complicated in multiple dimensions. .

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CIO Business Intelligence

MAY 13, 2023

And more specifically, how do CIOs, CSOs, and cybersecurity teams learn to deal with technology that may pose serious security and privacy risks? SIEM systems typically use advanced analytics to identify patterns, anomalies, and other indicators of potential threats. Microsoft has major ambitions for Security Copilot.

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Analytics Vidhya

JANUARY 15, 2024

The World Economic Forum (WEF) has recently unveiled its 19th Global Risks Report, shedding light on the emergence of artificial intelligence (AI) and quantum computing as significant global threats. The Rise of […] The post World Economic Forum Highlights AI as a Global Threat appeared first on Analytics Vidhya.

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CIO Business Intelligence

DECEMBER 19, 2023

Their steady income stream and relatively low risk compared to equities make them an especially important component of pension and retirement planning. Each type of issuer presents a different level of risk and tax treatment. Bonds are issued by different entities such as governments, municipalities, and corporations.

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Risk Cost-Benefit Unstructured Data Data-driven 52

Teradata

MAY 5, 2020

Advanced analytics & AI techniques can help in curtailing the COVID-19 pandemic. This post describes an analytics prototype to build an early warning system for COVID-19.

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Risk Analytics 118

Alation

JANUARY 9, 2023

Alation joined with Ortecha , a data management consultancy, to publish a white paper providing insights and guidance to stakeholders and decision-makers charged with implementing or modernising data risk management functions. The Increasing Focus On Data Risk Management. Download the complete white paper now.

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Rocket-Powered Data Science

JULY 19, 2023

I recently saw an informal online survey that asked users which types of data (tabular, text, images, or “other”) are being used in their organization’s analytics applications. The results showed that (among those surveyed) approximately 90% of enterprise analytics applications are being built on tabular data.

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David Menninger's Analyst Perspectives

SEPTEMBER 30, 2021

The risk of significant fines associated with these and other regulations, coupled with organizations’ internal compliance requirements, has brought more attention to data governance practices.

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Analytics Vidhya

DECEMBER 4, 2022

When too much risk is restricted to very few players, it is considered as a notable failure of the risk management framework. […]. The post XAI: Accuracy vs Interpretability for Credit-Related Models appeared first on Analytics Vidhya.

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Analytics Vidhya

MARCH 21, 2024

They come uninvited, disrupt daily routines, and pose security risks. Also Read: AI Scam […] The post Truecaller Introduces AI Spam Blocking Feature appeared first on Analytics Vidhya. In today’s digital world, spam calls have become an unblockable nuisance.

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Smart Data Collective

OCTOBER 8, 2023

In such a murky pool, the application of data analytics emerges as an invaluable tool. This article delves into the profound impact data analytics can have on fast food legal cases. In the realm of legal affairs, data analytics can serve as a strategic ally. In each scenario, data analytics can provide critical assistance.

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IBM Big Data Hub

OCTOBER 16, 2023

As more businesses use AI systems and the technology continues to mature and change, improper use could expose a company to significant financial, operational, regulatory and reputational risks. It encompasses risk management and regulatory compliance and guides how AI is managed within an organization.

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Analytics Vidhya

APRIL 4, 2024

Dubbed the “many-shot jailbreaking” technique, this exploit poses a significant risk of eliciting harmful or unethical responses from AI systems.

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Risk Modeling Analytics IT 273

Analytics Vidhya

APRIL 4, 2024

However, there are risks of synthetic voices being misused to spread misinformation, scam people through fake voices, or impersonate others without permission. OpenAI has recently built a […] The post OpenAI’s New Tool Can Mimic Anyone’s Voice; Here’s Why It’s Scary appeared first on Analytics Vidhya.

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CIO Business Intelligence

FEBRUARY 10, 2023

Predictive analytics definition Predictive analytics is a category of data analytics aimed at making predictions about future outcomes based on historical data and analytics techniques such as statistical modeling and machine learning. from 2022 to 2028. As such it can help adopters find ways to save and earn money.

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