DataRobot

JULY 22, 2021

Using machine learning in conjunction with existing business intelligence solutions can give retailers and manufacturers a much more accurate and realistic insight into future demand, even in uncertain times. One global retailer reported that machine learning led to $400 million in annual savings and a 9.5

Retail 52

Retail Artificial Inteligence eBook Machine Learning 52

DataRobot

APRIL 29, 2022

When business decisions are made based on bad models, the consequences can be severe. The stakes in managing model risk are at an all-time high, but luckily automated machine learning provides an effective way to reduce these risks. The post What is Model Risk and Why Does it Matter? More on this topic.

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

Cloudera

SEPTEMBER 22, 2022

To me, this means that by applying more data, analytics, and machine learning to reduce manual efforts helps you work smarter. Step two: expand machine learning and AI. Once you have access to additional data in your underwriting processes, the real advancements in efficiency occur using machine learning (ML) and AI.

Analytics 97

Analytics Data Insurance eBook 97

Palo Alto Networks

OCTOBER 19, 2023

A New Era of Malicious Tools Artificial intelligence is the number one buzzword of 2023, and for good reason. The sudden surge of interest in generative AI and machine learning has validated the growing concern about novel technologies in the wrong hands.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence Wireless Generative AI 98

CircleCI

NOVEMBER 18, 2021

AIOps is an approach to managing the exponential growth of IT operations and the complexity of new technology through the application of artificial intelligence (AI). AIOps uses machine learning and big data to assist IT operations. Take cloud misconfiguration, for example.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

Hacker Earth Developers Blog

JULY 18, 2018

Download our FREE eBook: A complete guide to Talent Assessment Software . The company now adds artificial intelligence (voice recognition software, licensed facial recognition software, a ranking algorithm) to pick the ideal candidate. Recruit (HackerEarth). The Predictive Index. People Search (Workable). HackerRank.

Recruiting 188

Recruiting Artificial Inteligence Software Artificial Intelligence 188

Cloudera

MAY 5, 2022

These platforms become even more powerful when integrated with AI and machine learning, as well as other forms of automation. Read our ebook : How Agencies Can Combat Fraud, Waste and Abuse by Leveraging an Infrastructure Approach.

Data 96

Data Machine Learning Artificial Inteligence Analytics 96

IDC

OCTOBER 15, 2019

Artificial intelligence (AI) is poised to transform the way that marketing professionals work, and how organizations target, engage and connect with customers and prospects. Artificial intelligence isn’t the only element marketing leaders need to plan for. ” Expanded Work Requiring Uniquely Human Skills.

Artificial Inteligence 63

Artificial Inteligence Marketing Artificial Intelligence eBook 63

Cloudera

JULY 19, 2022

They are continuously refining and tuning, using a combination of machine learning models, predictive analytics, and neural networks to predict suspicious behaviors. Rules are informed by models that can be adjusted dynamically when new fraud schemes arise. We must keep improving. appeared first on Cloudera Blog.

eBook 83

eBook eCommerce Banking Education 83

DataRobot

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . The regulatory guidance presented in these documents laid the foundation for evaluating and managing model risk for financial institutions across the United States.

Compliance 64

Compliance Development Machine Learning Artificial Inteligence 64

Cloudera

AUGUST 28, 2020

In order for edge analytics to be successful, you still need the cloud or a centralized data hub, when you can land petabytes of live or test data in the cloud, or a centralized data cluster and then use it to, train, test, and iterate on machine learning models using all that data.

IoT 109

IoT Industry Machine Learning Artificial Inteligence 109

OverOps

AUGUST 12, 2019

Advanced Machine Learning – OverOps runs this high-fidelity data through machine learning algorithms for de-duplication, classification and anomaly detection and delivers Code Quality reports that are based on the code’s runtime behavior. Software Data Optimization – Our agent operates between the JVM /.NET

Metrics 207

Metrics Data SDLC Machine Learning 207

Hacker Earth Developers Blog

APRIL 17, 2023

AT&T implemented a comprehensive training and development program called Workforce 2020 , which aimed to upskill its employees in emerging technologies, such as cloud computing, big data analytics, and machine learning. For example, offering eLearning assets to employees every quarter, such as an eBook relevant to their expertise.

Technical Review 130

Technical Review Artificial Inteligence Training eLearning 130

Trigent

FEBRUARY 19, 2021

Artificial Intelligence for enhanced customer engagement. Artificial Intelligence and Machine Learning algorithms go a long way in analyzing consumer behavior providing them with just what they want to see. As per PwC, eBooks will see a greater demand and grow at a CAGR of 11.7% Summing up.

Media 98

Media Technical Review Trends Artificial Inteligence 98

Cloudera

JUNE 2, 2021

As critical elements in supplying trusted, curated, and usable data for end-to-end analytic and machine learning workflows, the role of data pipelines is becoming indispensable. To learn more about leveraging data engineering for analytics success, download the Taking Your Data Lifecycle to the Next Level eBook.

Data 89

Data Data Engineering Machine Learning Artificial Inteligence 89

TIBCO - Connected Intelligence

MAY 20, 2020

Just as you wouldn’t train athletes and not have them compete, the same can be said about data science & machine learning (ML). You wouldn’t spend all this time and money on creating ML models without putting them into production, would you? Reading Time: 3 minutes.

Data 72

Data Machine Learning Artificial Inteligence How To 72

Cloudera

APRIL 13, 2021

You’ve probably heard it more than once: Machine learning (ML) can take your digital transformation to another level. We recently published a Cloudera Special Edition of Production Machine Learning For Dummies eBook. Chapter six of the eBook focuses on the 10 steps for making ML operational.

Machine Learning 98

Machine Learning Artificial Inteligence Enterprise eBook 98

DataRobot

JANUARY 13, 2022

It offers a visual and intuitive UI that enables anyone to explore and prepare data for machine learning, no matter their previous machine-learning experience. DataRobot combines traditional data science approaches and the best in emerging machine learning. DataRobot is just such a platform. Download Now.

Data 52

Data Machine Learning Artificial Inteligence eBook 52

DataRobot

NOVEMBER 15, 2022

These models don’t allow for monitoring over time, have little or no documentation, and don’t meet the fundamental needs of the business. Closing the value gap and reducing the overall AI cycle time means addressing the individual needs of each stakeholder group within the machine learning lifecycle. Is the model reproducible?

Big Data 52

Big Data Conference Data Machine Learning 52

TIBCO - Connected Intelligence

DECEMBER 22, 2020

Whether it’s an analyst doing reports or a data scientist applying machine learning methods to the data, they’re usually viewing it in aggregate from a traditional database, and typically don’t get to interact with it in its natural and most useful form—real-time. The Problem with Kafka: Accessing Real-Time Information.

Analytics 47

Analytics Artificial Inteligence Sport Artificial Intelligence 47

Tenable

APRIL 8, 2019

Predictive Prioritization remains true to the CVSS framework (see figure below), but enhances it by replacing the CVSS exploitability and exploit code maturity components with a threat score produced by machine learning – powered by a diverse set of data sources. If exploited, will have a major impact.

Machine Learning 80

Machine Learning Artificial Inteligence Software Review Technical Review 80

DataRobot

MARCH 23, 2023

This is why businesses are increasingly investing in machine learning operations (MLOps): IDC predicts by 2024, 60% of enterprises will have operationalized their ML workflows by using MLOps. How would it cope with scale and managing additional models? 2 What Is MLOps and How Does It Help?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Weak Development Team Software Review 52

Lacework

MARCH 16, 2022

By using a combination of AI and machine learning, Lacework continuously monitors for anomalous behavior, alerting to those activities unusual for your cloud environment. To learn about it in more detail, download our ebook, “ Game on: Don’t play around with cloud security.“. No rules, rules!

Games 52

Games Cloud Compliance eBook 52

DataRobot

APRIL 20, 2021

In this installment, I’ll cover four key elements of trusted AI that relate to the performance of a model: data quality, accuracy, robustness and stability, and speed. The performance of any machine learning model is tightly linked to the data it was trained on and validated against. Quality Input Means Quality Output.

Performance 52

Performance Machine Learning Artificial Inteligence Open Source 52

DataRobot

JANUARY 25, 2022

DataRobot’s Automated Time Series anomaly detection uses unsupervised machine learning workflows to detect anomalies and provides the blueprints to identify those anomalies. The result? Next-Generation Time Series: Forecasting for the Real World, Not the Ideal. Download Now.

Retail 52

Retail eBook Scalability Machine Learning 52

DataRobot

APRIL 13, 2021

Before you launch the campaign, use DataRobot to train a machine learning churn model , using historical data on those customers who have churned in the past. Create a propensity model to recommend products that the customer would want to use. This will give your campaign a laser-like focus. The AI-Powered Supply Chain.

eBook 52

eBook Machine Learning Artificial Inteligence Metrics 52

DataRobot

APRIL 20, 2022

However, with the power of machine learning, we have the power to uncover deep insights and transform consumer health. HIMSS 2022 offered a wonderful opportunity for us to listen, learn, and work towards broader integration of AI in healthcare , and we look forward to HIMSS 2023. How AI Can Help. Download Now.

Healthcare 52

Healthcare Retail eBook Machine Learning 52

Tenable

FEBRUARY 26, 2020

The solution uses machine learning analytics to correlate vulnerability severity, threat actor activity and asset criticality to predict and manage issues posing the greatest risk. . The VPR combines multiple vulnerability severity and threat intelligence factors to determine the likelihood of a vulnerability being exploited.

Security 55

Security Machine Learning Artificial Inteligence eBook 55

DataRobot

FEBRUARY 1, 2022

AI and machine learning initiatives are the gifts that keep on giving, simultaneously increasing top-line revenue and decreasing bottom-line costs. In fact, 87% of organizations struggle with lengthy deployment timelines , a further 59% take over a month to deploy a trained model into production. Download Now.

Machine Learning 52

Machine Learning Artificial Inteligence eBook Government 52

DataRobot

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Last time , we discussed the steps that a modeler must pay attention to when building out ML models to be utilized within the financial institution. Validating Machine Learning Models. The Framework for ML Governance.

Compliance 52

Compliance Metrics Machine Learning Artificial Inteligence 52

Lacework

NOVEMBER 1, 2022

A strategic use of machine learning analytics can minimize the amount of data that a SIEM processes, which helps businesses cut costs by allowing them to consolidate tools. For a deeper dive into assessing cyber risk during mergers and acquisitions, take a look at our eBook: Solving M&A challenges with cloud security.

Compliance 52

Compliance eBook Cloud Report 52

Modus Create

JUNE 30, 2021

Wider adoption of AI (Artificial Intelligence) and ML (Machine Learning) technologies. You can explore our predictions in detail in this eBook. . This prediction mentioned a few specific examples: Acceleration of product development process with DevOps and CI/CD. Continued adoption of true Agile practices.

Open Source 94

Open Source Artificial Inteligence Technical Review Agile 94