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. Simply stated, this approach enables data to be collected from any location and reside in any location for analytics to then be performed. Step two: expand machine learning and AI.

Analytics 102

Analytics Data Insurance eBook 102

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 Artificial Inteligence Machine Learning 110

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

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

Ivanti

JULY 19, 2023

This unrestricted accessibility facilitates seamless service delivery, empowering your IT team to perform efficiently no matter where they are located. For example, machine learning enables auto-classification and auto-routing of support tickets. Additionally, a cloud-based ITSM solution fosters enhanced collaboration.

Cloud 98

Cloud Scalability Artificial Inteligence Machine Learning 98

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. Model Validation – Prior to the use of a model (i.e.,

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

Newgen Software

MARCH 6, 2025

Developing records management protocols and performing regular reviews. Read This eBook Real-Life Use Cases of Records Management/Examples of Records Management Consider an example of a government organization. Creating and enforcing data protection and records management policies.

Compliance 52

Compliance Systems Review Artificial Inteligence Machine Learning 52

DataRobot

NOVEMBER 12, 2021

Of the organizations surveyed, 52 percent were seeking machine learning modelers and data scientists, 49 percent needed employees with a better understanding of business use cases, and 42 percent lacked people with data engineering skills. What makes a company a high AI performer? Follow a Clear Path to AI Implementation.

Artificial Inteligence 98

Artificial Inteligence Machine Learning eBook Survey 98

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 Artificial Inteligence Machine Learning 93

DataRobot

NOVEMBER 8, 2022

How can you build a performance-driven organization where driving outcomes is ingrained in your culture and the ownership of the process is shared across agency and client stakeholders? Learn more from guest blogger Ikechi Okoronkwo, Executive Director, Business Intelligence & Advanced Analytics at Mindshare. Download Now.

Analytics 59

Analytics Performance Marketing Media 59

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 Open Source Artificial Inteligence Machine Learning 52

DataRobot

DECEMBER 8, 2021

As noted in this report from Forrester®, “four out of five global data and analytics decision makers say that their firms want to become more data-driven and perform more advanced predictive analytics and artificial intelligence projects. But many struggle to turn the data they collect into true, actionable insights that can increase ROI.

Analytics 97

Analytics Artificial Inteligence eBook Analysis 97

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

DataRobot

MAY 10, 2022

Addressing the Key Mandates of a Modern Model Risk Management Framework (MRM) When Leveraging Machine Learning . No longer is the modeler only limited to using linear models; they may now make use of varied data sources (both structured and unstructured) to build significantly higher performing models to power business processes.

Compliance 64

Compliance Development Artificial Inteligence Machine Learning 64

Hacker Earth Developers Blog

APRIL 17, 2023

Retaining high-performing existing employees whose roles have become redundant Filling vacant roles in the organization through lateral hiring. So let’s weigh in the differences both the terms have for better clarification: Upskilling Reskilling It helps employees learn additional skills to perform better in their current job.

Technical Review 130

Technical Review Artificial Inteligence Training Programming 130

CIO

DECEMBER 5, 2024

The more comprehensive the training data, the better the model will perform in producing realistic and useful responses. Organizations can find it overwhelming to manage this vast amount of data while also providing accessibility, security, and performance. For AI innovation to flourish, an intelligent data infrastructure is essential.

Storage 78

Storage Generative AI Artificial Inteligence Data 78

Tenable

SEPTEMBER 30, 2019

CISOs can use Tenable Lumin to quickly and accurately assess the organization’s cyber exposure risk and compare their health and remediation performance to that of other enterprises. Learn more about Tenable Lumin metrics here: Additional resources. Read the eBook: Cyber Risk Benchmarking: What the Business Needs to Know.

Technical Review 16

Technical Review Metrics eBook Trends 16

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.

Artificial Inteligence 52

Artificial Inteligence Machine Learning Systems Review eBook 52

Cloudera

SEPTEMBER 17, 2020

Delivered through the Cloudera Data Platform (CDP) as a managed Apache Spark service on Kubernetes, DE offers unique capabilities to enhance productivity for data engineering workloads: Visual GUI-based monitoring, troubleshooting and performance tuning for faster debugging and problem resolution. Platform Resource Management & Isolation.

Data Engineering 104

Data Engineering Engineering Data Tools 104

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.

Artificial Inteligence 26

Artificial Inteligence Machine Learning Data eBook 26

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.

Artificial Inteligence 52

Artificial Inteligence Machine Learning eBook Training 52

IDC

OCTOBER 15, 2019

Just like how marketing automation created new tasks and job functions, AI will revolutionize the way marketing is performed – and dictate a new set of job needs and skills. Work Guidance : Some jobs will be more productive and be performed either more quickly or with better outcomes as AI provides decision support.

Artificial Inteligence 63

Artificial Inteligence Marketing Artificial Intelligence eBook 63

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. DevOps vs AIOps.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Machine Learning Artificial Intelligence 52

Tenable

FEBRUARY 26, 2020

Cox refers to FY2020 as a “readiness year,” in which federal agencies will become familiar with the concept of scoring their cyber risk and begin to evaluate their performance against a federal average. To learn more about risk-based vulnerability management, visit: [link].

Security 57

Security Artificial Inteligence Machine Learning eBook 57

TIBCO - Connected Intelligence

DECEMBER 8, 2020

Disruptive technologies, like machine learning and artificial intelligence, among others, have the potential to revolutionize all facets of business operations. Watch this webinar to learn more. CXO Insight of The Month: Avoiding Risks in Disruptive Technologies. However, implementing these game-changers takes a lot of work.

Artificial Inteligence 49

Artificial Inteligence eBook Analytics Artificial Intelligence 49

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 Artificial Inteligence 52

Tenable

JULY 24, 2019

The Ponemon data make clear that traditional key performance indicators (KPIs) are not adequate to provide an accurate picture of the cyber risks facing public sector organizations today. Learn more: Download the webinar Cybersecurity in the Public Sector — 5 Insights You Need to Know.

Organization 67

Organization IoT Survey eBook 67

DataRobot

SEPTEMBER 13, 2022

The future of business depends on artificial intelligence and machine learning. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. According to IDC , 83% of CEOs want their organizations to be more data-driven. What Do Data Scientists Do? Download Now.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence Machine Learning 52

DataRobot

FEBRUARY 9, 2021

Improved models can help banks perform stress tests that more accurately forecast potential risks in the months and years ahead. AI and machine learning in banking have the power to help banks navigate an unprecedented public health crisis. How Banks Are Winning with AI and Enterprise AI. Download Now.

Banking 52

Banking eBook Retail Small Business 52

DataRobot

MAY 26, 2022

Validating Modern Machine Learning (ML) Methods Prior to Productionization. Further, we will discuss how DataRobot is able to help streamline this process, by providing various diagnostic tools aimed at thoroughly evaluating a model’s performance prior to placing it into production. Validating Machine Learning Models.

Compliance 52

Compliance Metrics Artificial Inteligence Machine Learning 52

Palo Alto Networks

AUGUST 13, 2019

Performance measurement. Automate to improve: Approximately 61% of respondents wished for ‘machine learning recommendations’ for improving security operations (with only 30% of respondents claiming that this feature was already present in their security products). What tool capabilities they would place on their ‘wish lists’.

Report 51

Report eBook Tools Artificial Inteligence 51

Protera

SEPTEMBER 25, 2018

For many SAP customers, moving to the cloud marks the transition from a legacy, capital-intensive landscape to a cost-effective, high performance future. New tools support better analytics, IoT, integration, machine learning, artificial intelligence and big data. Read Your SAP® Public Cloud Solution eBook here!

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

IDC

AUGUST 28, 2019

sales or marketing salaries, commissions, advertising, direct and indirect selling expenses and costs not directly related to making a product or performing a service. Thanks to technology like artificial intelligence and machine learning, marketers can now target the perfect customer. Technology Spending.

Marketing 8

Marketing Organization Artificial Inteligence eBook 8

DataRobot

SEPTEMBER 11, 2019

Creating those plans require ingesting massive amounts of data resources, aggregating, cleansing, and standardizing that data, and then performing analysis on the finished product. That’s because Microsoft Excel is still the go-to tool for performing all of that data prep. Everything that leads up to that insight is a means to an end.

Data 52

Data Artificial Inteligence Analysis eBook 52

DataRobot

JUNE 23, 2022

Rather than waiting until a prediction has been made, savvy business people are focusing not on what machine learning (ML) techniques might result in an interesting prediction but instead are turning their minds to the question “What do I need to know to change the way we make decisions?”. What Decisions Can Change – and How?

Artificial Inteligence 59

Artificial Inteligence Policies Analysis Systems Review 59

O'Reilly Media - Ideas

MARCH 1, 2023

Methodology This report is based on our internal “units viewed” metric, which is a single metric across all the media types included in our platform: ebooks, of course, but also videos and live training courses. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning.

Trends 144

Trends Technical Review Technology Software Review 144