DataRobot Blog

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Validating Machine Learning Models. This should make intuitive sense, as individuals with more financial reserves would pose the institution with a lower credit risk compared to those with less.

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Cloudera

APRIL 23, 2024

The Hackathon was intended to provide data science experts with access to Cloudera machine learning to develop their own Accelerated Machine Learning Project (AMP) focused on solving one of the many environmental challenges facing the world today.

Machine Learning 88

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Smart Data Collective

SEPTEMBER 19, 2022

Machine learning technology has become invaluable in many facets of the IT sector. A study by Markets and Markets shows that the market for machine learning technology is growing over 44% a year. One of the biggest factors driving the demand for machine learning technology is a growing need for cybersecurity solutions.

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Cloudera

MARCH 26, 2024

Cloudera: Your Trusted Partner in AI With over 25 Exabytes of Data Under Management and hundreds of customers leveraging our platform for Machine Learning, Cloudera has a long and successful history as an industry leader. Cloudera Machine Learning Public or Private Cloud.

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AWS Big Data

MARCH 13, 2024

RAG is a machine learning (ML) architecture that uses external documents (like Wikipedia) to augment its knowledge and achieve state-of-the-art results on knowledge-intensive tasks. After you review the cluster configuration, select the jump host as the target for the run command. zst`; do zstd -d $F; done rm *.zst

Data Processing 114

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CIO Business Intelligence

APRIL 11, 2024

Oracle Cloud Infrastructure is now capable of hosting a full range of traditional and modern IT workloads, and for many enterprise customers, Oracle is a proven vendor,” says David Wright, vice president of research for cloud infrastructure strategies at research firm Gartner.

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CIO Business Intelligence

APRIL 6, 2022

As siloed solutions, their data contains only a portion of the context needed to understand the threat landscape, leading to high-risk blind spots. Simply put, the solution is alerting you to look for the compromised host, but you’ve already been breached. The detection and response are reactive. Automated response.

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Data Processing Machine Learning Risk Dashboards 95

O'Reilly on Data

MAY 18, 2020

This article answers these questions, based on our combined experience as both a lawyer and a data scientist responding to cybersecurity incidents, crafting legal frameworks to manage the risks of AI, and building sophisticated interpretable models to mitigate risk. First and foremost is the tendency for AI to decay over time.

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AWS Big Data

MARCH 8, 2024

Unsupervised machine learning analytics has emerged as a powerful tool for anomaly detection in today’s data-rich landscape, especially with the growing volume of machine-generated data. For hosts , specify the endpoint of the collection that you created. Set serverless to true. Set serverless to true.

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CIO Business Intelligence

SEPTEMBER 8, 2023

The easy things: A clear understanding of AI terminology and risks There’s a host of things that can be established with relative ease early in an organization’s AI journey. This context is important not just to meet your audience where they are, but also to understand risks that are specific to the context of your AI application.

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O'Reilly on Data

MARCH 31, 2020

If you’re already a software product manager (PM), you have a head start on becoming a PM for artificial intelligence (AI) or machine learning (ML). But there’s a host of new challenges when it comes to managing AI projects: more unknowns, non-deterministic outcomes, new infrastructures, new processes and new tools.

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CIO Business Intelligence

FEBRUARY 6, 2023

Other key resources that benefit the customer experience include BI and analytics for anything from actuarial pricing to risk selection and customer intelligence, the CIO says. The Virtual Enrollment Experience is fulfilled via a microsite customized for each account and is hosted in the cloud (AWS).

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CIO Business Intelligence

JULY 17, 2023

Cloud infrastructure is especially sensitive, as many critical applications are at risk, such as customer-facing applications. Good Dog Communications in Partnership with Verizon and Edgio recently hosted a webinar, “The Rise of Cloud Exploitation, ” that spoke directly to cyberthreats targeting web apps and security best practices.

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CIO Business Intelligence

DECEMBER 21, 2023

300% more early detection for malicious hosts. Risk360 : Risk360, the industry’s first holistic AI-powered risk quantification and mitigation platform has tremendous interest from CISOs. Launched recently I am happy to report that we have over ten large enterprises using Risk 360. To learn more, visit us here.

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IBM Big Data Hub

FEBRUARY 7, 2024

Investors, regulators and stakeholders are increasingly demanding that companies disclose their exposure to climate-related risks , such as dependence on fossil fuels or vulnerability to weather events. The goal is for there to be more nature by 2030 than there is today—which means taking actionable steps in 2024.

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Smart Data Collective

MARCH 7, 2021

There are a lot of ways companies are using new advances in machine learning and other data technologies to mitigate the risks of cyberattacks. Limiting admin rights can be a viable option to minimize the risk of data breaches. VPN & Secured Hosting. First & foremost, never go for free hosting services.

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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.

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CIO Business Intelligence

OCTOBER 18, 2023

So as a fundamental part of its goal to be data-driven, for example, the company is in the midst of implementing a platform that can host all analytical capabilities. Main technologies With a project of such magnitude, the technologies applied have been vast and varied.

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CIO Business Intelligence

DECEMBER 19, 2023

While cloud technology has many benefits, it also poses security risks, especially when it comes to protecting sensitive information. Data lakes store raw data that can be used for various purposes, mostly focused on analytics, machine learning, and data visualization.

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IBM Big Data Hub

AUGUST 10, 2023

Whether they are providing personalized financial solutions catered to the specific needs of individual customers or transforming the hedge fund space with analytical tools to measure performance and risk data on a more real-time basis for clients, fintechs are leveraging the innovative technologies of AI and cloud.

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DataRobot

NOVEMBER 16, 2021

Many organizations, including state and local governments, are dipping their toes into machine learning (ML) and artificial intelligence (AI). Evaluating machine learning model health manually is very time-consuming and distracts resources from model development. What is MLOps? Issues with Monitoring.

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IBM Big Data Hub

AUGUST 1, 2023

We are bringing the power of foundation models with the availability of a GPU as a service on IBM Cloud offering to help organizations tap into artificial intelligence (AI) in a secured environment while aiming to mitigate third- and fourth-party risk.

Digital Transformation 66

Digital Transformation Risk Data Processing Enterprise 66

Rita Sallam

JUNE 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. Here is the link to Qlik’s BI Bake-Off video.

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Smart Data Collective

DECEMBER 23, 2022

Businesses can also leverage big data to support machine learning by training AI and sophisticated models. For example, since data remains on site, there is a lower risk of data breaches. These centers may be private or shared servers located on off-site third-party hosting platforms. Hard Disk Drives.

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Big Data Cost-Benefit Data Processing Risk 110

CIO Business Intelligence

AUGUST 28, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Refining the balancing act of innovation and risk. One example is Banking-as-a-Service, with the market expected to reach US$3.6 trillion by 2030.

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Strategy Digital Transformation Data Processing Risk 98

CIO Business Intelligence

SEPTEMBER 2, 2022

At the centre of these changes are disruptive technologies like artificial intelligence, cloud computing, and machine learning, which are paving the way for new business models. Refining the balancing act of innovation and risk. One example is Banking-as-a-Service, with the market expected to reach US$3.6 trillion by 2030.

Strategy 97

Strategy Digital Transformation Data Processing Risk 97

Rita Sallam

APRIL 2, 2023

The first featured analytics and BI platform Gartner Magic Quadrant leaders while the other showcased high interest data science and machine learning platforms. Qlik Key Findings: In the US alone, there’s $367 billion in agricultural commodities at risk to flooding in the US alone. We did two Bake-Offs this year.

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IBM Big Data Hub

DECEMBER 5, 2023

With the rise of highly personalized online shopping, direct-to-consumer models, and delivery services, generative AI can help retailers further unlock a host of benefits that can improve customer care, talent transformation and the performance of their applications.

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IBM Big Data Hub

JANUARY 10, 2024

More specifically, confidential computing uses hardware-based security-rich enclaves to allow a tenant to host workloads and data on untrusted infrastructure while ensuring that their workloads and data cannot be read or modified by anyone with privileged access to that infrastructure.

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Data Processing Risk Modeling Cost-Benefit 74

Cloudera

JANUARY 26, 2022

At the time, the architecture typically included two tiers, where cloud providers hosted the backend and clients sent their requests via web applications. . It became clear that not everything can be hosted in a public cloud for multiple reasons, including security. In 2008, Cloudera was born. Modern Day and the Future.

Data Processing 85

Data Processing IoT Cost-Benefit Digital Transformation 85

AWS Big Data

FEBRUARY 27, 2024

Four-layered data lake and data warehouse architecture – The architecture comprises four layers, including the analytical layer, which houses purpose-built facts and dimension datasets that are hosted in Amazon Redshift. Her special areas of interest are data analytics, machine learning/AI, and application modernization.

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CIO Business Intelligence

DECEMBER 16, 2022

There were also a host of other non-certified technical skills attracting pay premiums of 17% or more, way above those offered for certifications, and many of them centered on management, methodologies and processes or broad technology categories rather than on particular tools.

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Laminar Security

DECEMBER 11, 2023

DDR is a data security solution that leverages artificial intelligence, machine learning, and behavioral analytics to monitor, detect, and respond to data activity across endpoints, networks, cloud, and applications. DDR detects anomalous or suspicious data behavior that may indicate insider threats or other data security risks.

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Smart Data Collective

JUNE 4, 2021

Basics of Machine Learning. Machine learning is the science of building models automatically. Whereas in machine learning, the algorithm understands the data and creates the logic. Whereas in machine learning, the algorithm understands the data and creates the logic. Semi-Supervised Learning.

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IBM Big Data Hub

FEBRUARY 6, 2024

Through the development of cyber recovery plans that include data validation through custom scripts, machine learning to increase data backup and data protection capabilities, and the deployment of virtual machines (VMs) , companies can recover from cyberattacks and prevent re-infection by malware in the future.

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DataRobot Blog

NOVEMBER 15, 2022

Sara Venturina, VP Head of Data from GCash, the Philippines’ leading e-wallet, and Trevor Laight, Chief Risk Officer from CIMB, a leading ASEAN universal bank, hosted a discussion panel with Jay Schuren, DataRobot Chief Customer Officer. Closing the Value Gap: Reducing AI Cycle Time. You spawn the dreaded AI value creation gap.

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Decision Management Solutions

AUGUST 19, 2021

Millions of dollars are being wasted on inefficient deployments of artificial intelligence, machine learning, and data decisioning technologies. Here at Decision Management Solutions, we’ve studied this vessel and extracted valuable lessons and learnings that can be applied to any organization. Date: September 9, 2021.

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