Dataiku

JUNE 15, 2022

One key to more efficient, effective AI model and application development is executing workloads on compute platforms that offer high scalability, performance, and concurrency.

Data Engineering 59

Data Engineering Engineering Data Development 59

Confluent

FEBRUARY 6, 2019

Building a scalable, reliable and performant machine learning (ML) infrastructure is not easy. It takes much more effort than just building an analytic model with Python and your favorite machine learning framework. Impedance mismatch between data scientists, data engineers and production engineers.

Machine Learning 106

Machine Learning Artificial Inteligence Scalability Data Engineering 106

Apiumhub

JANUARY 26, 2022

Data engineer roles have gained significant popularity in recent years. Number of studies show that the number of data engineering job listings has increased by 50% over the year. And data science provides us with methods to make use of this data. Who are data engineers?

Data Engineering 52

Data Engineering Engineering Data Machine Learning 52

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. The end-to-end process requires several steps, including data integration and algorithm development, training, and deployment.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

d2iq

FEBRUARY 19, 2021

Going from a prototype to production is perilous when it comes to machine learning: most initiatives fail , and for the few models that are ever deployed, it takes many months to do so. As little as 5% of the code of production machine learning systems is the model itself. Adapted from Sculley et al.

Artificial Inteligence 103

Artificial Inteligence Machine Learning Technical Review Software Review 103

CIO

FEBRUARY 13, 2023

CIOs anticipate an increased focus on cybersecurity (70%), data analysis (55%), data privacy (55%), AI/machine learning (55%), and customer experience (53%). Dental company SmileDirectClub has invested in an AI and machine learning team to help transform the business and the customer experience, says CIO Justin Skinner.

Budget 363

Budget Artificial Inteligence Technical Review VR 363

CIO

JULY 18, 2023

CIO.com’s 2023 State of the CIO survey recently zeroed in on the technology roles that IT leaders find the most difficult to fill, with cybersecurity, data science and analytics, and AI topping the list. S&P Global also needs complementary skills in software architecture, multicloud, and data engineering to achieve its AI aims. “It

Technical Advisors 246

Technical Advisors Artificial Inteligence Generative AI How To 246

Mobilunity

AUGUST 3, 2021

Although the Big Data concept itself is relatively new, the origins of huge data sets go back to the 1970s when the world of data was just getting started with the development of the relational database. While Big Data has come far, its use is still growing and being explored. Who is Big Data Engineer?

Big Data 52

Big Data Data Engineering Engineering Data 52

CIO

SEPTEMBER 2, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. DevOps engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

The US financial services industry has fully embraced a move to the cloud, driving a demand for tech skills such as AWS and automation, as well as Python for data analytics, Java for developing consumer-facing apps, and SQL for database work. Back-end software engineer. DevOps engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

SEPTEMBER 18, 2023

To that end, New York-based telecom giant Verizon has developed a platform for migrating millions of customers to its next-generation networks such as 5G, Cloud Connectivity, and Fixed Wireless Access — with minimal disruption.

Telecommunications 278

Telecommunications Network Systems Review Software Review 278

Perficient

MARCH 23, 2023

Databricks Streaming and Apache Flink are two popular stream processing frameworks that enable developers to build real-time data pipelines, applications and services at scale. Comparison Databricks is an integrated platform for data engineering, machine learning, data science and analytics built on top of Apache Spark.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

Exadel

FEBRUARY 20, 2023

The technological landscape has evolved to include AI assistants, self-driving cars, and machine learning solutions that process data in a blink of an eye. Major Players for AI in the Cloud For the scope of this article, AI is defined as machine learning, since ML is the biggest constituent of the technology.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Altexsoft

JUNE 6, 2019

Fast checkout, personalized recommendations, or instant access to customer care at any time are a few services that can be implemented with the help of artificial intelligence. Let’s travel overseas and check out how Chinese tech giants have been developing in the same field. Forecasting demand with machine learning in Walmart.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Netflix Tech

MARCH 7, 2024

Berg , Romain Cledat , Kayla Seeley , Shashank Srikanth , Chaoying Wang , Darin Yu Netflix uses data science and machine learning across all facets of the company, powering a wide range of business applications from our internal infrastructure and content demand modeling to media understanding.

System 90

System Machine Learning Artificial Inteligence Training 90

Cloudera

OCTOBER 13, 2020

In the beginning, CDP ran only on AWS with a set of services that supported a handful of use cases and workload types: CDP Data Warehouse: a kubernetes-based service that allows business analysts to deploy data warehouses with secure, self-service access to enterprise data. Predict – Data Engineering (Apache Spark).

Cloud 92

Cloud Machine Learning Artificial Inteligence Azure 92

Kentik

APRIL 12, 2023

At the heart of DataOps is the agile development methodology, which emphasizes collaboration, iteration, and continuous delivery. Data scientists play a critical role in the DataOps ecosystem, leveraging advanced analytics and machine learning techniques to gain insights from large and complex data sets.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

FEBRUARY 16, 2021

In the previous blog post , we looked at some of the application development concepts for the Cloudera Operational Database (COD). Cloudera Operational Database enables developers to quickly build future-proof applications that are architected to handle data evolution. Cloudera Data Warehouse to perform ETL operations.

Machine Learning 81

Machine Learning Artificial Inteligence Policies Data Engineering 81

Trigent

AUGUST 26, 2022

Working with a custom software development company is imperative when you plan to create an extraordinary digital project. Trigent Software is one of those fantastic IT service providers that enable organizations to adopt customer engagement models and advanced digital processes to achieve outstanding end-user experience and results.

Software Review 52

Software Review Software Technical Review Artificial Intelligence 52

Agile Engine

SEPTEMBER 29, 2023

Few people know this, but enterprises often employ a machine learning technique that’s instrumental in particle physics experiments at the Large Hadron Collider. One such challenge is subscriber churn prediction, a critical aspect of a recent project at AgileEngine Data Studio.

Video 52

Video Machine Learning Artificial Inteligence Automotive 52

CTOvision

MAY 1, 2014

Applied Intelligence derives actionable intelligence from our data to optimize massive scale operation of datacenters worldwide. We are developing innovative software in big data analytics, predictive modeling, simulation, machine learning and automation. Primary Responsibilities.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

Netflix Tech

MARCH 5, 2019

As a micro-service owner, a Netflix engineer is responsible for its innovation as well as its operation, which includes making sure the service is reliable, secure, efficient and performant. How can we develop templated detection modules (rules- and ML-based) and data streams to increases speed of development?

Infrastructure 73

Infrastructure Scalability Cloud Data 73

Cloudera

DECEMBER 20, 2023

Cloudera is launching and expanding partnerships to create a new enterprise artificial intelligence “AI” ecosystem. In a stack including Cloudera Data Platform the applications and underlying models can also be deployed from the data management platform via Cloudera Machine Learning.

Artificial Inteligence 70

Artificial Inteligence Artificial Intelligence Enterprise Machine Learning 70

Capgemini

JANUARY 17, 2023

By creating a lakehouse, a company gives every employee the ability to access and employ data and artificial intelligence to make better business decisions. Many organizations that implement a lakehouse as their key data strategy are seeing lightning-speed data insights with horizontally scalable data-engineering pipelines.

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Altexsoft

FEBRUARY 11, 2023

The 11th annual survey of Chief Data Officers (CDOs) and Chief Data and Analytics Officers reveals 82 percent of organizations are planning to increase their investments in data modernization in 2023. What’s more, investing in data products, as well as in AI and machine learning was clearly indicated as a priority.

Data 87

Data Data Engineering Big Data Architecture 87

Cloudera

OCTOBER 4, 2023

Different data streams will have different characteristics, and having a platform flexible enough to adapt, with things like flexible partitioning for example, will be essential in adapting to different source volume characteristics. We get optimized price/performance on complex workloads over massive scale data.

Analytics 84

Analytics Machine Learning Artificial Inteligence Telecommunications 84

Mobilunity

MAY 3, 2024

When it comes to financial technology, data engineers are the most important architects. As fintech continues to change the way standard financial services are done, the data engineer’s job becomes more and more important in shaping the future of the industry. Knowledge of Scala or R can also be advantageous.

Data Engineering 52

Data Engineering Fintech Engineering Data 52

O'Reilly Media - Ideas

JUNE 4, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 69

Course Training Artificial Inteligence Software Review 69

Mobilunity

MAY 8, 2023

Analytics zone is where data analysts and data scientists can access the data to perform queries, generate reports, and create models. The analytics zone may include tools for data visualization, machine learning, and predictive analytics. Data Security. Scalability. Scalability.

Engineering 52

Engineering Data Storage AWS 52

CIO

OCTOBER 18, 2023

“IDH holds a potentially severe immediate risk for patients during dialysis and therefore requires immediate attention from staff,” says Hanjie Zhang, director of computational statistics and artificial intelligence at the Renal Research Institute, a joint venture of Fresenius North America and Beth Israel Medical Center. “As

Artificial Inteligence 334

Artificial Inteligence Analytics Artificial Intelligence Machine Learning 334

CTOvision

JUNE 15, 2015

But Spark is also open source where large teams of developers are contributing to continuously improve the capability. The endorsement came in the form of a $300 million investment and the assignment of 3,500 people to help develop Spark. First, it dramatically improves the performance of data dependent apps.

Open Source 117

Open Source Big Data Machine Learning Artificial Inteligence 117

Cloudera

SEPTEMBER 21, 2021

Many customers looking at modernizing their pipeline orchestration have turned to Apache Airflow, a flexible and scalable workflow manager for data engineers. However, for those who do not, or want a local development installation, here is a basic setup of Airflow 2.x Step 0: Skip if you already have Airflow.

Off-The-Shelf 95

Off-The-Shelf Data Engineering Virtualization Cloud 95

O'Reilly Media - Ideas

JUNE 5, 2019

Get hands-on training in Docker, microservices, cloud native, Python, machine learning, and many other topics. Learn new topics and refine your skills with more than 219 new live online training courses we opened up for June and July on the O'Reilly online learning platform. AI and machine learning.

Course 51

Course Training Artificial Inteligence Software Review 51

Xebia

MARCH 10, 2021

It is comparable with the ‘normal’ application development challenges where (Business,) IT Development and IT Operations are separated. Let’s first briefly explore the world of Data Science and better understand why DevOps can help. In many large organisations application development and running applications are separated.

DevOps 130

DevOps Data Analytics Policies 130

The Citus Data

MARCH 31, 2023

A developer friend of mine prefers to read about what to expect at upcoming events in the narrative form of a blog, rather than having to click in and out of different abstracts on a schedule page. Maps with Django (and PostGIS) , by Paolo Melchiorre the CTO of 20tab. (On-demand

Azure 85

Azure Open Source Virtualization Software Engineering 85

CIO

DECEMBER 22, 2022

DataOps (data operations) is an agile, process-oriented methodology for developing and delivering analytics. It brings together DevOps teams with data engineers and data scientists to provide the tools, processes, and organizational structures to support the data-focused enterprise. What is DataOps?

Analytics 325

Analytics Data Engineering Machine Learning Artificial Inteligence 325