OTS Solutions

SEPTEMBER 27, 2018

For example, big-box retailers now capitalize on automation to ship and sort products while credit card companies detect fraud through automation. Innovators are increasingly looking for ways companies can build a system that allows them to contribute to their machine-learning models and train automation. Driverless Vehicles.

Artificial Inteligence 100

Artificial Inteligence Technology Artificial Intelligence Mobile 100

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

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. It is secure and credible, with machine learning and data science.

Engineering 52

Engineering Cloud Google Cloud Azure 52

TechCrunch

MARCH 29, 2022

“Essentially, just like Redis is to key-value storage, and GitLab is to DevOps, Convoy is to webhooks,” it says. Quick thoughts : Innovation in Africa’s B2B e-commerce and retail space has been around the digitization of processes and BNPL services, but not much around cash overdependence and fraud.

.Net 228

.Net CTO Banking Fintech 228

Hacker Earth Developers Blog

SEPTEMBER 25, 2019

It supports several programming languages and services as well as integrated DevOps to build, run, deploy, and manage applications in the cloud. Machine Learning hackathons. Organizations such as Unilever, Societe Generale, Future Group, and many others have leveraged the power of Machine Learning to build better businesses.

Blockchain 75

Blockchain Technical Review Technical Advisors Software Review 75

Xicom

JANUARY 23, 2020

AI and Machine Learning. AI mobile application technology trends include AI automated DevOps through AIOps, AI-enabled chips, AI-assistant for speech, image and various forms of facial recognition. Blockchain. Blockchain makes mobile apps faster, safer, and with more features than ever before. 5G Technology.

Mobile 64

Mobile Trends Development Artificial Inteligence 64

Hacker Earth Developers Blog

SEPTEMBER 25, 2019

It supports several programming languages and services as well as integrated DevOps to build, run, deploy, and manage applications in the cloud. Machine Learning hackathons. Organizations such as Unilever, Societe Generale, Future Group, and many others have leveraged the power of Machine Learning to build better businesses.

Blockchain 30

Blockchain Technical Review Technical Advisors Software Review 30