Neil Patel

FEBRUARY 25, 2021

Here is where machine learning operations (MLOps) come in. In less simple terms, it’s a combination of machine learning, data engineering, and development operations. It is an extension of what we know as DevOps. The process of brainstorming, developing, and implementing machine learning is extensive.

Machine Learning 114

Machine Learning Artificial Intelligence DevOps as a Service Marketing 114

How To Buy Saas

FEBRUARY 29, 2024

Software-as-a-service (SaaS) is one of the transformative services in the modern digital landscape. If you think about catching up with one of the biggest tech trends in recent years, this list will provide you with IT service providers working in different industries, with different tech stacks, and from different countries.

DevOps as a Service 40

DevOps as a Service Development Technical Review Blockchain 40

Panintelligence

AUGUST 15, 2024

Key takeaways The benefits and key features of embedded analytics, including real-time insights, self-service reporting, and predictive analytics. Various methods and strategies for monetizing data through embedded analytics, such as tiered data offerings and premium analytics services. What is embedded analytics?

Artificial Intelligence 52

Artificial Intelligence Technical Review DevOps as a Service Systems Review 52

Intercom, Inc.

MARCH 29, 2022

Our platform is a unified system. Wayne Stewart, Head of CSS Cloud Growth – DevOps & IT at Atlassian: Thanks, Paul. My role at Atlassian is as a Support Manager of the DevOps IT Cloud Products team. So the way that we are working with Intercom is making a difference in the service that we’re delivering to customers.

Scale 118

Scale Banking Technical Review Software Review 118

SmartKarrot

APRIL 12, 2022

AIOps is an alliance between data analytics, DevOps, machine learning (ML), and artificial intelligence (AI). Further, AIOps can be used for automation, IT service management, performance analysis, anomaly detection, and event correlation and analysis. IT teams face a major challenge with data generated by their systems.

Artificial Intelligence 10

Artificial Intelligence DevOps as a Service Machine Learning Systems Review 10

User Pilot

MARCH 4, 2025

Third-party integration: Supports integration with analytics, and DevOps tools like Google Analytics, Mixpanel, Splunk, or Datadog. Cons Due to its narrow scope, its best for performance monitoring rather than deeper in-app analytics. Pros Integrates seamlessly with AI, popular cloud platforms, and third-party services.

Technical Review 52

Technical Review Software Review DevOps as a Service Systems Review 52

Kellblog

JANUARY 5, 2020

As I’ve been doing every year since 2014, I thought I’d take some time to write some predictions for 2020, but not without first doing a review of my predictions for 2019. Kellblog 2019 Predictions Review. Changing general ledgers is a heart transplant while changing planning systems is a knee replacement.

DevOps as a Service 75

DevOps as a Service Blockchain Technical Review AI Search 75