CIO

DECEMBER 16, 2022

These included metadata design and development, quantitative analysis, regression analysis, continuous integration, data analytics, data strategy, identity and access management, machine learning, natural language processing, and more.

Technical Review 214

Technical Review Analytics AWS SCRUM 214

CIO

SEPTEMBER 2, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. DevOps engineer. DevOps helps bring both ideologies together to find a balance between the two goals. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The most in-demand skills include DevOps, Java, Python, SQL, NoSQL, React, Google Cloud, Microsoft Azure, and AWS tools, among others. DevOps engineer. DevOps helps bring both ideologies together to find a balance between the two goals. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

O'Reilly Media - Ideas

DECEMBER 5, 2018

Get hands-on training in Kubernetes, machine learning, blockchain, Python, management, and many other topics. Learn new topics and refine your skills with more than 120 new live online training courses we opened up for January and February on our online learning platform. Artificial intelligence and machine learning.

Artificial Inteligence 104

Artificial Inteligence Course Training Blockchain 104

ParkMyCloud

DECEMBER 5, 2019

Google Cloud Platform vs AWS: what’s the deal? After the release of the latest earnings reports a few weeks ago from AWS, Azure, and GCP, it’s clear that Microsoft is continuing to see growth, Amazon is maintaining a steady lead, and Google is stepping in. Is Google Cloud catching up to AWS?

Google Cloud 57

Google Cloud AWS Cloud Azure 57

Palo Alto Networks

SEPTEMBER 8, 2021

Developers and DevOps Teams Can Now Use Prisma Cloud’s Advanced Machine Learning to Prevent Dynamic Threats Before They are Deployed Into Operational Environments. Today’s high speed deployments in a DevOps world rely on the efficient reuse of image libraries and the increasing usage of container images.

Google Cloud 80

Google Cloud Serverless Azure Weak Development Team 80

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. This typically requires retraining or otherwise updating the model with the fresh data. Monitoring. Why this blog post?

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

O'Reilly Media - Ideas

JANUARY 2, 2019

Get hands-on training in Python, Java, machine learning, blockchain, and many other topics. Learn new topics and refine your skills with more than 250 new live online training courses we opened up for January, February, and March on our online learning platform. AI and machine learning.

Course 59

Course Artificial Inteligence Training Blockchain 59

O'Reilly Media - Ideas

JANUARY 22, 2019

From artificial intelligence to serverless to Kubernetes, here’s what on our radar. Artificial intelligence for IT operations (AIOps) will allow for improved software delivery pipelines in 2019. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud. Cloud-native infrastructure.

Systems Review 79

Systems Review Trends Engineering System 79

Agile Engine

FEBRUARY 20, 2019

Trend 2: Machine Learning is the New Black. Now that Big Data is officially a boring technology, machine learning became another buzzword hitting the spotlight. In August 2018, deep learning reached the peak of Gartner’s Hype Cycle for Emerging Technologies. Cloud EDW (Data Warehouse). Google BigQuery.

Big Data 71

Big Data Google Cloud Data Azure 71

TechBeacon

OCTOBER 28, 2019

Our platform runs on Kubernetes in Google Cloud, powering global-scale machine learning across more than 10 petabytes of geospatial data. At Descartes Labs we have built a data refinery to collect, process, and analyze sensor data to quantify changes in the Earth.

Continuous Delivery 71

Continuous Delivery Google Cloud Machine Learning Artificial Inteligence 71

Datavail

MAY 23, 2023

However, while the cloud may help with some of the more repetitive administration tasks, it is still essential for teams to be aware of and proactively perform other maintenance tasks. A discussion on accelerating Oracle to PostgreSQL migration journeys , with Sameer Malik, Principal Solution Engineer at Google Cloud.

Database Administration 52

Database Administration Conference Google Cloud Azure 52

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. AI-Driven Security Analytics Artificial Intelligence (AI) is playing a pivotal role in enhancing cloud security.

Trends 52

Trends Innovation Cloud Serverless 52

Kentik

AUGUST 3, 2021

Hybrid Cloud Benefits. Some of the biggest benefits when adopting a hybrid-cloud configuration are: Applications in the cloud often have greater redundancy and elasticity. Moving to the cloud can also increase performance. Google, on the other hand, might be a better platform for machine-learning computations.

Weak Development Team 124

Weak Development Team Network Cloud AWS 124

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

Mobilunity

MAY 20, 2021

As mentioned before, there are different cloud providers with their specific platforms. It means that a Google cloud certified associate cloud engineer can work with GCP but probably won’t be any good with AWS or Azure. There are 175 different services available, and it also incorporates AI, machine learning, and 5G.

Engineering 52

Engineering Cloud Google Cloud Azure 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. No rules, rules!

Games 52

Games Cloud Compliance eBook 52

Hu's Place - HitachiVantara

NOVEMBER 11, 2018

Forbes notes that a full transition to the cloud has proved more challenging than anticipated and many companies will use hybrid cloud solutions to transition to the cloud at their own pace and at a lower risk and cost. This will be a blend of private and public hyperscale clouds like AWS, Azure, and Google Cloud Platform.

Cloud 78

Cloud Google Cloud Azure AWS 78

Prisma Clud

AUGUST 23, 2023

Depicted by Gartner, “CIEM capabilities help enterprises manage cloud access risks via administration-time preventive controls for the governance of entitlements in hybrid and multicloud infrastructure as a service (IaaS) and platform as a service (PaaS). Leading CIEM capabilities enforce least-privilege policies and remediate violations.”

Innovation 52

Innovation Report Software Review Infrastructure 52

Mobilunity

DECEMBER 9, 2021

Bringing together parties and a professional team is essential for a comprehensive cloud optimization strategy. Product owners, managers, finance personnel, DevOps engineers, and, in certain situations, the cloud center of excellence are examples of such parties. >>> Cisco Cloud. Choose your vendors.

Cloud 52

Cloud Google Cloud Azure Serverless 52

Openxcell

NOVEMBER 27, 2023

Google Cloud Google Cloud migration provides different services and solutions for migrating information and applications to the Cloud. In addition, their products integrate artificial intelligence to automate repeatable tasks during migrations, modernizations, and variations.

Strategy 52

Strategy Tools Cloud Disaster Recovery 52

OTS Solutions

SEPTEMBER 5, 2023

Here Are The Important Practices for DevOps in the Cloud Cloud computing and DevOps are two aspects of the technological shift which are completely inseparable. The many mistakes that are made are simply because people have not really understood DevOps and the best practices.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Lacework

FEBRUARY 1, 2024

KuppingerCole Analysts AG Leadership Compass: Cloud-Native Application Protection Platforms (CNAPP), 2024 The report highlighted several capabilities CNAPPs should have: Cover and provide visibility of the major cloud services (AWS, Google Cloud, Microsoft Azure, etc.) popular security and incident management tools.

Artificial Inteligence 104

Artificial Inteligence Leadership Technical Review Machine Learning 104

CircleCI

SEPTEMBER 7, 2021

For many organizations, cloud computing has become an indispensable tool for communication and collaboration across distributed teams. Whether you are on Amazon Web Services (AWS), Google Cloud, or Azure. the cloud can reduce costs, increase flexibility, and optimize resources.

Cloud 52

Cloud Backup Disaster Recovery Serverless 52

ParkMyCloud

JANUARY 17, 2020

AWS Certified DevOps Engineer – Professional. Intended for individuals who have a DevOps engineer role and two or more years of experience operating, provisioning and managing AWS environments. AWS Certified Machine Learning – Speciality. Azure DevOps Engineer Expert. Azure Data Scientist Associate.

Google Cloud 9

Google Cloud Azure AWS Cloud 9

O'Reilly Media - Ideas

FEBRUARY 6, 2019

Get hands-on training in machine learning, microservices, blockchain, Python, Java, and many other topics. Learn new topics and refine your skills with more than 170 new live online training courses we opened up for March and April on the O'Reilly online learning platform. AI and machine learning.

Artificial Inteligence 12

Artificial Inteligence Course Training Artificial Intelligence 12

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

CIO

JANUARY 26, 2023

Cost containment is a big issue for many CIOs now and the cloud companies know it. See Azure Cost Management , Google Cloud Cost Management , and AWS Cloud Financial Management tools for the big three clouds. Once your cloud commitment gets bigger, independent cost management tools start to become attractive.

Tools 290

Tools Cloud Artificial Inteligence Artificial Intelligence 290

Openxcell

MAY 12, 2023

Millions of dollars are spent each month on public cloud companies like Amazon Web Services, Microsoft Azure, and Google Cloud by companies of all sizes. These three cloud services are the most secure, adaptable, and dependable cloud services that dominate the public cloud market.

Google Cloud 52

Google Cloud Azure AWS Cloud 52

O'Reilly Media - Ideas

JANUARY 25, 2024

C++ is also an excellent language for number crunching (Python’s numeric libraries are written in C++), which is increasingly important as artificial intelligence goes mainstream. It has also become the new “must have” language on résumés: knowing C++ proves that you’re tough, that you’re a “serious” programmer.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

Xebia

FEBRUARY 25, 2024

Machine learning operations: what and why MLOps, what the fuzz? DevOps may sound familiar, but nowadays there are a lot more terms: LLMOps, LegOps (no, not Lego-Ops), and of course MLOps. DevOps may sound familiar, but nowadays there are a lot more terms: LLMOps, LegOps (no, not Lego-Ops), and of course MLOps.

Applications 130

Applications Technical Review Software Review Azure 130

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. The new category is often called MLOps.

DevOps 143

DevOps Data Software Review Technical Advisors 143

Confluent

OCTOBER 3, 2019

We recently launched a new artificial intelligence (AI) data extraction API called Scrapinghub AutoExtract , which turns article and product pages into structured data. Example of article extraction on Introducing a Cloud-Native Experience for Apache Kafka ® in Confluent Cloud. Why move to the cloud?

Cloud 15

Cloud Artificial Inteligence Artificial Intelligence AWS 15

O'Reilly Media - Ideas

JUNE 22, 2022

We were able to group them into some significant clusters by looking for people whose write-in title used the words “engineer,” “programmer,” “developer,” “architect,” “consultant,” or “DevOps.” There’s certainly room for overlap: someone could be a “senior DevOps engineer.” We also looked at two modifiers: “senior” and “lead.”

Survey 132

Survey Cloud Google Cloud Training 132

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

Prisma Clud

JUNE 20, 2023

It's about ensuring comprehensive security coverage that adapts to the ever-changing cloud landscape. Cloud Security Is a Shared Responsibility Cloud security is a team sport that involves DevOps teams, cloud security teams and even the security operations center (SOC) engineers.

Cloud 105

Cloud Development Team Review Serverless Linux 105

Exadel

DECEMBER 4, 2019

The Innovation Cloud is a powerful low-code development platform that lets technology leaders explore and test new technologies such as blockchain, AI, mobile, chatbot, and machine learning models. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). The post That’s A Wrap!

Software Review 10

Software Review Blockchain Open Source Technical Review 10