TechCrunch

MAY 10, 2022

Data science teams are stymied by disorganization at their companies, impacting efforts to deploy timely AI and analytics projects. Predibase’s other co-founder, Travis Addair, was the lead maintainer for Horovod while working as a senior software engineer at Uber.

Artificial Inteligence 235

Artificial Inteligence Machine Learning Off-The-Shelf Training 235

Xebia

JANUARY 19, 2023

This book is as good for a project manager or any other non-technical role as it is for a computer science student or a data engineer. “Data engineering has grown rapidly in the past decade, leaving many software engineers, data scientists, and analysts looking for a comprehensive view of this practice.

Data Engineering 130

Data Engineering Engineering Data Technical Review 130

Confluent

FEBRUARY 6, 2019

It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. No matter what other platforms are supported, chances are very high that your data scientists will build and train their analytic models with Python. You need to think about the whole model lifecycle.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Altexsoft

JULY 4, 2022

Ansible , Puppet , and Chef working with both physical and cloud environments; Terraform — a platform-agnostic solution for cloud infrastructures; and. AWS CloudFormation , Azure Resource Manager , or Google Cloud Deployment Manager , which are cloud-specific IaC services. Google Cloud Fundamentals.

Infrastructure 64

Infrastructure Engineering Technical Review Google Cloud 64

Altexsoft

JUNE 29, 2021

This article will focus on the role of a machine learning engineer, their skills and responsibilities, and how they contribute to an AI project’s success. The role of a machine learning engineer in the data science team. The focus here is on engineering, not on building ML algorithms. Data-related expertise.

Artificial Inteligence 105

Artificial Inteligence Machine Learning Engineering Data Engineering 105

Mobilunity

AUGUST 3, 2021

Technologies that have expanded Big Data possibilities even further are cloud computing and graph databases. The cloud offers excellent scalability, while graph databases offer the ability to display incredible amounts of data in a way that makes analytics efficient and effective. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 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

Existek

SEPTEMBER 28, 2023

Besides, it requires expert knowledge of software engineering, programming, and data science. Relevant certifications, such as those from AWS, Google Cloud, or Microsoft Azure, can enhance an AI developer’s earning potential. They have a wide choice of techniques and tools to develop and maintain advanced solutions.

Artificial Inteligence 52

Artificial Inteligence Development How To Artificial Intelligence 52

DataRobot

SEPTEMBER 6, 2022

At the 2022 Gartner Data and Analytics Summit, data leaders learned the latest insights and trends. To drive business value and successfully apply AI , it’s critical that members of data and analytics teams clearly articulate the underlying business value. See DataRobot AI Cloud in Action. Request a Demo. All rights reserved.

Artificial Inteligence 52

Artificial Inteligence Analytics Data Machine Learning 52

CIO

MAY 1, 2024

For example, many Google customers, like Goldman Sachs, IHG, and Mercedes Benz, talking about building with its Gemini gen AI tools at the recent Google Cloud Next conference turned out to still be at the pilot stage rather than in deployment. Pilots can offer value beyond just experimentation, of course.

Generative AI 359

Generative AI Artificial Inteligence Metrics Training 359

StubHub

AUGUST 8, 2019

The group of 20 is a diverse mix of college, grad school and PhD students who hail from a variety of disciplines: computer science, data science, business, software engineering, design, informatics, applied mathematics and economics. The second project I am working on is for the marketing analytics team.

Technical Review 8

Technical Review Software Review Software Engineering Sport 8

Altexsoft

JULY 19, 2022

Some organizational approaches to analytics ownership are explained in our article about data science teams. The infrastructural shift means going from a fragmented platform with separate operational and analytical planes to an integrated infrastructure for both operational and data systems.

Architecture 52

Architecture Data Analytics Data Engineering 52

DataRobot

SEPTEMBER 14, 2021

DataRobot AI Cloud is a unique solution that unlocks the full potential of AI for your business. As a single platform for your entire team, AI Cloud brings together Data Scientists , analytics experts , IT and the business to collaborate, combine expertise and align resources on shared initiatives.

Cloud 52

Cloud Data Center Machine Learning Artificial Inteligence 52

Altexsoft

FEBRUARY 24, 2023

The shift to non-application jobs driven by the ability to support various types of workloads turns Kubernetes into a universal platform for almost everything and a de-facto operating system for cloud-native software. It also minimizes unplanned outages, which may disrupt businesses dependent on event streaming and real-time analytics.

Weak Development Team 83

Weak Development Team Load Balancer Technical Review Microservices 83

Altexsoft

JUNE 25, 2019

Contrarily, a DW uses simple queries with few tables to improve performance and analytics. DW simplifies data analyst’s job, allowing for manipulating all data from a single interface and derive analytics, visualizations, and statistics. Constructing data pipelines is the core responsibility of data engineering.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

Codegiant

JULY 18, 2020

Integrations with other great tools like Asana , Zendesk, CloudBees, Travis, CodeClimate, AWS, Windows Azure, Google Cloud, and Heroku. Complaints towards GitHub from a female software engineer (Julie Ann Horvath) were prevalent. SSL , SSH and https security for all data transmission. Two-factor authentication.

Software Review 59

Software Review Technical Review Systems Review UI/UX 59

O'Reilly Media - Ideas

MAY 19, 2020

. • Public cloud dominates, but most organizations use a mix of cloud options; almost half (49%) continue to run applications in traditional, on-premises contexts. More than half of respondents use multiple cloud services. • AWS is far and away the cloud leader, followed by Azure (at more than half of share) and Google Cloud.

Cloud 143

Cloud Microservices Serverless Survey 143

Mobilunity

SEPTEMBER 21, 2021

If you doubt your Cloud-Based engineer’s qualifications, Mobilunity’s experts have no doubts while searching for the RIGHT candidate for you. Though the work of a cloud-based engineer is challenging, and cloud software development requires quite many skills, the competition in the labor market for this job is high.

Applications 52

Applications Cloud How To Technical Advisors 52

Cloudera

DECEMBER 12, 2018

I was part of this migration project, and then after undergrad, I went on to be a software engineer for a utility company, who was using DB2 on the mainframe and migrating to Oracle on Unix. Really the use case is just specifically around data warehousing and analytic database. Where do you see Apache Impala fitting in?

Data 41

Data Marketing Storage Big Data 41

Confluent

OCTOBER 10, 2019

In the same way, industrial protocols are a book with seven seals for software engineers. In some scenarios, the main challenge and requirement is to ingest data into Kafka for further processing and analytics in other backend systems. Only MQTT will seem familiar to an automation technology employee.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

SEPTEMBER 19, 2019

Data sources may be internal (databases, CRM, ERP, CMS, tools like Google Analytics or Excel) or external (order confirmation from suppliers, reviews from social media sites, public dataset repositories, etc.). These BI platforms include ETL and data storage services, along with analytics and reporting with visuals.

Business Intelligence 13

Business Intelligence Tools Data Azure 13

CIO

APRIL 12, 2022

Celonis buys Process Analytics Factory. Process mining giant Celonis has snapped up Process Analytics Factory, a small German company specializing in process optimization on Microsoft’s platforms. It plans to integrate Brightpearl’s e-commerce management software with its Intacct cloud-based financial applications.

Technical Review 358

Technical Review Enterprise Technology Software Review 358