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). IT infrastructure increasingly relies on complicated deployments, multi-cloud architectures, and huge amounts of data. Take cloud misconfiguration, for example.

Artificial Inteligence 52

Artificial Inteligence Weak Development Team Artificial Intelligence Machine Learning 52

IDC

MAY 6, 2019

For companies that are committed to creating Digital Transformation (DX) within their organizations, artificial intelligence (AI) is a critical component. Artificial intelligence has been pushed to the top of the corporate agenda. How do you prioritize where to implement AI technologies and how to use AI most efficiently?

Strategy 96

Strategy Artificial Intelligence Artificial Inteligence How To 96

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? Download now.

Artificial Inteligence 111

Artificial Inteligence Systems Review Technical Review Software Review 111

Hacker Earth Developers Blog

APRIL 17, 2023

With that said, let’s look at some of the ways in which timely learning programs can help your tech teams during crunch situations (with real-life examples): #1— It can reduce skill gaps (the IBM example) In 2009, the global recession significantly impacted IBM’s revenue and growth.

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

AUGUST 28, 2020

AI, edge computing, and cloud are three of the hottest topics in technology today – can you talk us through how they are impacting the telco industry? . That is where the value of streaming analytics, edge, and cloud is, in how businesses use this real-time data to inform decisions. .

IoT 111

IoT Industry Machine Learning Artificial Inteligence 111

DataRobot

NOVEMBER 24, 2021

Putting sensors into all of its wind turbines enabled GE to stream operational data to the cloud. Intelligent learning algorithms also allowed individual turbines to duplicate the behavior of more efficient turbines that were nearby. appeared first on DataRobot AI Cloud. A recent study by the U.S. Download Now.

Pharmaceuticals 98

Pharmaceuticals eBook Artificial Intelligence Artificial Inteligence 98

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. Basic factors like hosting costs, scalability and agility just make on premise to cloud migration the logical choice. Hyper Innovation Empowers the SAP Cloud Community.

Cloud 58

Cloud Off-The-Shelf Artificial Inteligence Serverless 58

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. Because of this, automated, intelligent, and reliable data engineering workflows are key to ensuring a robust end-to-end workflow.

Data 93

Data Data Engineering Machine Learning Artificial Inteligence 93

TIBCO - Connected Intelligence

AUGUST 3, 2021

A report from “The Economist” reveals that cloud technology began playing a significant role in the healthcare industry as early as 2016. Back then, adopters saw the cloud as the solution to many major challenges in service delivery—including record management, remote care, and reaching low-income patients—and they were right.

Healthcare 26

Healthcare Cloud Meeting Artificial Inteligence 26

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. Introducing TIBCO Cloud Data Streams for Kafka.

Analytics 47

Analytics Artificial Inteligence Sport eBook 47

DataRobot

NOVEMBER 15, 2022

Our in-booth theater attracted a crowd in Singapore with practical workshops, including Using AI & Time Series Models to Improve Demand Forecasting and a technical demonstration of the DataRobot AI Cloud platform. Is the model explainable, traceable, and auditable? Is the model reproducible? Download Now.

Big Data 52

Big Data Conference Data Machine Learning 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

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

Lacework

NOVEMBER 1, 2022

And with the growth of cybersecurity and cloud security, acquired companies tend to bring increasing amounts of cyber risk with them. Cybersecurity and cloud security have become especially critical for companies undergoing the M&A process. However, these assessments often fail to fully account for cyber-related risk.

Compliance 52

Compliance eBook Cloud Report 52

DataRobot

APRIL 20, 2022

We debuted our growing and dedicated healthcare organization, offered a preview of the AI Cloud DataRobot 8.0 However, with the power of machine learning, we have the power to uncover deep insights and transform consumer health. The post HIMSS 2022: Looking Forward appeared first on DataRobot AI Cloud. How AI Can Help.

Healthcare 52

Healthcare Retail eBook Machine Learning 52

DataRobot

JUNE 23, 2022

Your artificial intelligence (AI) system has given you this “predicted feature” in addition to what you already know about the applicant. DATAROBOT AI CLOUD. Decision Intelligence Flows. Learn More. Far fewer AI models succeed in creating business value when there is no existing prediction to replace.

Artificial Inteligence 59

Artificial Inteligence Policies Analysis Systems Review 59

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 post The Real Life Value of Time Series appeared first on DataRobot AI Cloud. Download Now.

Retail 52

Retail eBook Scalability Machine Learning 52

Tenable

JANUARY 27, 2023

Check out what respondents said about the number of web apps they manage and which team is in charge of their WAS program. For more information, check out the coverage from NextGov , Business Insurance , Infosecurity Magazine and The Register.

IoT 52

IoT Malware Policies Survey 52

Kaseya

JULY 1, 2021

Legacy systems may not integrate well with other more modern systems and technologies such as artificial intelligence tools and big data processing. Replatforming – This could involve migrating the legacy system to a cloud-native environment. As a business grows, legacy systems can create bottlenecks, limiting scalability.

Technical Review 52

Technical Review Software Review Systems Review Hardware 52

Kaseya

JUNE 25, 2021

Legacy systems may not integrate well with other more modern systems and technologies such as artificial intelligence tools and big data processing. Replatforming – This could involve migrating the legacy system to a cloud-native environment. As a business grows, legacy systems can create bottlenecks, limiting scalability.

Technical Review 52

Technical Review Software Review Systems Review Hardware 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

Apiumhub

AUGUST 12, 2021

This year you will have 6 unique tracks: Cloud Computing: IaaS, PaaS, SaaS DevOps: Microservices, Automation, ASRs Cybersecurity: Threats, Defenses, Tests Data Science: ML, AI, Big Data, Business Analytics Programming languages: C++, Python, Java, Javascript,Net Future & Inspire: Mobility, 5G data networks, Diversity, Blockchain, VR.

Industry 59

Industry Technical Advisors CTO Coach Azure 59

IDC

JANUARY 18, 2019

Furthermore, AI, machine learning, IoT, and other soup de-jour terms have become commonplace in the marketing campaigns and product roadmaps of most application providers, further complicating what buyers need to assess and evaluate when purchasing SaaS. Want to learn more about what buyers look for when evaluating SaaS?

Survey 40

Survey eBook Cloud Metrics 40

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

Palo Alto Networks

AUGUST 13, 2019

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). Where Does SOAR Go From Here?

Report 43

Report eBook Tools Machine Learning 43

Cloudera

APRIL 13, 2021

What’s the fastest and easiest path towards powerful cloud-native analytics that are secure and cost-efficient? And sure, we’re a little biased—but only because we’ve seen firsthand how CDP helps our customers realize the full benefits of public cloud. . In our humble opinion, we believe that’s Cloudera Data Platform (CDP).

Enterprise 78

Enterprise Cloud eBook Data 78

CIO

JULY 13, 2022

To accomplish the most ambitious goals—improving people’s lives—government agencies will need to increasingly rely on automation and an open AI and machine learning collaboration that bridges research and services with cutting-edge data products. Want to learn more? Cloud Storage

Data 240

Data eBook Culture Government 240

DataRobot

SEPTEMBER 13, 2022

The future of business depends on artificial intelligence and machine learning. 87% of CXOs shared that becoming an intelligent enterprise was their top priority. Many implement machine learning and artificial intelligence to tackle challenges in the age of Big Data. Download Now.

Artificial Inteligence 52

Artificial Inteligence Data Artificial Intelligence Machine Learning 52

IDC

NOVEMBER 4, 2019

Sensors in machine functions are becoming more advanced and able to capture more (and richer) data including audio, image and video. Devices are being integrated with a level of intelligence where analytics (today) and artificial intelligence (future) are magnifying data creation beyond just the data capture.

Enterprise 12

Enterprise IoT eBook Automotive 12

O'Reilly Media - Ideas

MARCH 1, 2023

The signals are often confusing: for example, interest in content about the “big three” cloud providers is slightly down, while interest in content about cloud migration is significantly up. That’s a surprise, particularly since the operations world is still coming to terms with cloud computing. What does that mean?

Trends 135

Trends Technical Review Technology Software Review 135

Hacker Earth Developers Blog

MARCH 15, 2019

With the advent of solutions such as the Cloud, employers are now empowered to hire and manage a workforce that is no longer confined to brick-and-mortar offices. Applications using Artificial Intelligence or data-driven insights are the ones that are highly recommended. Technology has been an enabler at workplaces.

Development Team Review 206

Development Team Review How To Recruiting eBook 206

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. DataRobot’s MLOps product offers a host of features designed to transform organizations’ user experience, firstly, through its model-monitoring agents.

Machine Learning 52

Machine Learning Artificial Inteligence Systems Review eBook 52

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

Tenable

AUGUST 18, 2023

Plus, the Cyber Safety Review Board issues urgent security recommendations on its Lapsus$ report – and announces it’ll next delve into cloud security. When completed, the review will offer recommendations aimed at arming cloud computing customers and providers with cybersecurity best practices. Check out what a study found. The result?

Software Review 52

Software Review Technical Review Artificial Inteligence How To 52

DataRobot

FEBRUARY 9, 2022

This approach gives freedom to move its AI artifacts around, regardless of whether they are hosted on a major cloud platform or its own on-premise infrastructure. Machine learning operations (MLOps) solutions allow all models to be monitored from a central location, regardless of where they are hosted or deployed.

Machine Learning 52

Machine Learning Artificial Inteligence eBook Guidelines 52

Lacework

OCTOBER 25, 2022

Organizations are rapidly adopting cloud-native technologies like containers and Kubernetes to accelerate innovation and business growth. However, with this mass migration to the cloud comes more complex risk. Failure to do so can have severe consequences, including cloud data breaches or the inability to keep pace with competition.

Weak Development Team 59

Weak Development Team Authentication DevOps eBook 59