IDC

JUNE 24, 2019

Automated Machine Learning. Automated machine learning (AutomML) is the automation of the end-to-end process of applying machine learning (ML) to real-world problems. Here are just three of the technical innovations that enterprises can use to better leverage the disruptive power of AI: 1. Embedded AI.

Artificial Inteligence 106

Artificial Inteligence Innovation Enterprise Machine Learning 106

CIO

JANUARY 31, 2023

These changes bring new challenges, but advancements in IT automation, artificial intelligence (AI) and machine learning (ML), and edge-computing capabilities will play a key role. Read our latest eBook and view our energy webpage to learn more about exciting advancements in energy.

Energy 167

Energy Artificial Inteligence Artificial Intelligence Analytics 167

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 102

Analytics Data Insurance eBook 102

Newgen Software

MARCH 6, 2025

Read This eBook Real-Life Use Cases of Records Management/Examples of Records Management Consider an example of a government organization. The statistics indicate that AI and Machine Learning (ML) are becoming more and more integrated into document management systems.

Compliance 52

Compliance Systems Review Machine Learning Artificial Inteligence 52

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. How does it compare to one in another location?

IoT 110

IoT Industry Machine Learning Artificial Inteligence 110

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 101

Data Machine Learning Artificial Inteligence Analytics 101

Trigent

APRIL 16, 2021

The role of technology in the education industry has witnessed some monumental trendsetters, right from 2019, which saw the advent of Big Data , Internet of Things (IoT), and Machine Learning. Students are classified based on their learning ability and content designed to suit each learning style.

Artificial Inteligence 98

Artificial Inteligence Artificial Intelligence VR Technical Review 98

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. Our latest ebook highlights some of the advancements accomplished by UOB, Regions Bank, BRI, and Santander. . We must keep improving.

eBook 88

eBook eCommerce Banking Education 88

DataRobot

JULY 13, 2022

This marks a full decade since some of the brightest minds in data science formed DataRobot with a singular vision: to unlock the potential of AI and machine learning for all—for every business, every organization, every industry—everywhere in the world. We’re excited to continue this momentum through the rest of 2022 and beyond.

Artificial Inteligence 105

Artificial Inteligence Innovation Industry Technical Advisors 105

DataRobot

APRIL 29, 2022

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. As machine learning advances globally, we can only expect the focus on model risk to continue to increase. More on this topic. The Framework for ML Governance. Download now.

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Artificial Inteligence Systems Review Technical Review Software Review 111

Cloudera

SEPTEMBER 4, 2020

Machine learning and AI are going to be critical for Communication Service Providers (CSPs)to succeed in the future as traditionally telcos have always been data-rich but insight poor. . This is where machine learning analytics and AI come in and change things, allowing telcos to get much more value from the data they already have.

IoT 93

IoT Industry Machine Learning Artificial Inteligence 93

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 92

Data Data Engineering Machine Learning Artificial Inteligence 92

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). Model Ops is a cross-functional, collaborative, continuous process that focuses on managing machine learning models to make them reusable and highly available via a repeatable deployment process.

Data 72

Data Machine Learning Artificial Inteligence How To 72

Cloudera

APRIL 13, 2021

That’s because CDP has made it possible for them to modernize their legacy data platforms and extend machine learning (ML) and real-time analytics to public cloud, all while gaining cross-functional collaboration across the enterprise. .

Enterprise 78

Enterprise Cloud eBook Data 78

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 83

Machine Learning Artificial Inteligence Software Review Technical Review 83

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 Download Now.

Retail 52

Retail Artificial Inteligence eBook Machine Learning 52

DataRobot

FEBRUARY 11, 2022

This second part will dive deeper into DataRobot’s Machine Learning Operations capability, and its transformative effect on the machine learning lifecycle. MLOps for IT Teams: How to Transform the Machine Learning Lifecycle. DataRobot’s Robust ML Offering. Download Now.

Machine Learning 52

Machine Learning Artificial Inteligence Systems Review eBook 52

DataRobot

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . Given this context, how can financial institutions reap the benefits of modern machine learning approaches, while still being compliant to their MRM framework?

Compliance 64

Compliance Development Machine Learning Artificial Inteligence 64

Tenable

SEPTEMBER 30, 2019

The score is automatically generated through machine learning algorithms which combine the Tenable Vulnerability Priority Rating (VPR), for the likelihood of exploitability, with the Tenable Asset Criticality Rating (ACR), for the business criticality of the impacted asset. Cyber Exposure Score. Visit the Tenable.io

Technical Review 16

Technical Review Metrics eBook Trends 16

TIBCO - Connected Intelligence

MARCH 8, 2021

Companies have begun to recognize the value of integrating data science (DS) and machine learning (ML) across their organization to reap the benefits of the advanced analytics they can provide. What are the barriers keeping businesses from operationalizing data science and machine learning? Reading Time: 2 minutes.

Machine Learning 26

Machine Learning Artificial Inteligence Data eBook 26

Trigent

FEBRUARY 19, 2021

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% Artificial Intelligence for enhanced customer engagement. Summing up.

Media 98

Media Technical Review Trends Artificial Inteligence 98

Palo Alto Networks

OCTOBER 19, 2023

The sudden surge of interest in generative AI and machine learning has validated the growing concern about novel technologies in the wrong hands. This growing intricacy within the network significantly amplifies the number of endpoints and applications, exposing organizations to potential security vulnerabilities.

Artificial Inteligence 111

Artificial Inteligence Artificial Intelligence Wireless Trends 111

DataRobot

FEBRUARY 9, 2022

Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed. Manual processes cannot keep up with the speed and scale of the machine learning lifecycle , as it evolves constantly. Implement MLOps Tools. Download Now.

Machine Learning 52

Machine Learning Artificial Inteligence eBook Training 52

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

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 Programming 130

CIO

DECEMBER 5, 2024

Everything is categorized and readily available through a single system, regardless of whether you’re searching for a classic novel, a research journal, a documentary film, an ebook, or an encyclopedia (do they even produce those anymore?).

Storage 78

Storage Generative AI Artificial Inteligence Data 78

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. . To learn more about risk-based vulnerability management, visit: [link].

Security 57

Security Machine Learning Artificial Inteligence eBook 57

CircleCI

NOVEMBER 18, 2021

AIOps uses machine learning and big data to assist IT operations. It might be easy to dismiss AIOps as yet another passing trend in a market flooded with AI-powered software as companies seek ways to market their machine learning tools. Effective AIOps acts as a frontline interpreter for all this data.

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Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 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 eBook Compliance 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. This will give your campaign a laser-like focus. Create a propensity model to recommend products that the customer would want to use. The AI-Powered Supply Chain. Download now.

eBook 52

eBook Machine Learning Artificial Inteligence Metrics 52

IDC

OCTOBER 15, 2019

AI, which includes machine learning, intelligence process automation, digital assistants, and conversational interfaces, enables more of this data to be used for dozens of marketing applications. Marketing will be one of the earliest business functions to be massively changed by AI use.

Artificial Inteligence 63

Artificial Inteligence Marketing Artificial Intelligence eBook 63

DataRobot

NOVEMBER 15, 2022

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. Machine Learning stacks are commonly fragmented and hard to manage across departments, creating complexity and cost that can inhibit scale and slow down progress.

Big Data 52

Big Data Conference Data Machine Learning 52