ML/AI

logo lsports

ML platform with Sagemaker

Lsports provides an innovative sports betting data API for the sports betting industry. They are a leading provider of high-quality live sports data feeds.   The Challenge Lsports had a large data repository in their data warehouse. Lsports’ Data Science team wanted to be able to create machine learning models from this data. They were […]

CloudZone

December 3, 2022

Missed Out On AWS Summit Tel Aviv? We’ve Got Your Back.

AWS Summit Tel Aviv made a much-awaited return to Israel and was filled with action, insight, and excitement. After a 2-year break due to the pandemic, the CloudZone team was proud to be there and had great fun leading and attending sessions, participating in discussions, and networking at our booth. Attendees were thrilled about the […]

CloudZone

May 25, 2022

Missed Out On AWS Summit Madrid? We’ve Got Your Back.

‘Action-packed’ and ‘knowledge-filled’ would accurately describe our AWS Summit Madrid experience. For us at CloudZone, this was especially meaningful, since after 10 years of leading the Israeli market, we have launched our branch in Iberia earlier this year to support customers in Spain and Portugal. AWS Summit Madrid was our first official event since launching […]

CloudZone

May 23, 2022

Here are 5 reasons why you need to be at AWS Summit Tel Aviv this year!

Calling all business and technology leaders: Here are 5 reasons why you need to be at AWS Summit Tel Aviv this year! Back with more momentum than ever before, AWS Summit Tel Aviv will present new, golden opportunities to discover industry-leading solutions offered by AWS partners. From CEOs and DevOps engineers to data scientists and […]

CloudZone

May 3, 2022

What you don’t want to miss at AWS Summit Madrid

Firstly, what is AWS Summit Madrid? AWS Global Summits are informative, innovation-centric events that bring the cloud computing community together. Summits are held in major cities around the world and attract technologists from all industries and skill levels who want to discover how AWS can help them innovate quickly and deliver flexible, reliable solutions at […]

CloudZone

May 2, 2022

Kubeflow and ML Automation: Part 2

As ML models and algorithms are becoming a standard component of many enterprise applications, managing ML workflows as part of the CI/CD pipeline becomes an important prerequisite of an efficient AI/ML adoption strategy. Although many tools have been recently developed for fast prototyping, coding, and testing of ML models, the automation of ML components and […]

CloudZone

May 26, 2021

Kubeflow and ML Automation: Part 1

With the growing maturity of the machine learning (ML) ecosystem and the deeper integration of ML algorithms into production software, managing the development, testing, and deployment of ML models has become a complex task.   Training deep neural-network models in a cloud environment requires a highly customized system that links together different components, such as […]

CloudZone

April 13, 2021

Cloud Computing: 2021 Top Trends

As in years gone by, 2020 was slated to be the ‘year of enterprise migration’. But this year, it actually happened! Cloud adoption by businesses has been continually rising, and while this change may have been prompted by Covid-related restrictions, its benefits extend far beyond enabling remote working. So, now that so many businesses are […]

CloudZone

December 27, 2020

What is AutoML and Why Your Business Should Consider It

From 2010 to 2020, machine learning (ML) has shown its value by providing a number of breakthroughs in a diverse range of fields. Machine learning has gone beyond research groups and made its way into the enterprise. According to a LinkedIn report, the hiring rate for ML specialists grew to 74% annually from 2016 to 2020. […]

CloudZone

December 14, 2020

5 Machine Learning Models You Can Deploy Using Big Query

Deploying machine learning models requires multiple teams and coordination. Developing a statistical model or picking which one to use is simply not enough. A machine learning engineer must also be able to implement it into a large system. Between the various teams required to deploy the model and all the expertise to design it, new […]

MatrixDigital

October 27, 2020