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

CIO

FEBRUARY 14, 2023

By George Trujillo, Principal Data Strategist, DataStax Increased operational efficiencies at airports. Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. Instant reactions to fraudulent activities at banks.

Artificial Inteligence 281

Artificial Inteligence Strategy Data Machine Learning 281

AWS Machine Learning - AI

JANUARY 26, 2024

Generative artificial intelligence (AI) applications built around large language models (LLMs) have demonstrated the potential to create and accelerate economic value for businesses. We then discuss how building on a secure foundation is essential for generative AI.

Artificial Inteligence 125

Artificial Inteligence Generative AI Security Applications 125

Invid Group

AUGUST 28, 2024

The willingness to explore new tools like large language models (LLM), machine learning (ML) models, and natural language processing (NLP) is opening unthinkable possibilities to improve processes, reduce operational costs, or simply innovate [2].

Technical Review 52

Technical Review Artificial Inteligence Performance Azure 52

d2iq

JANUARY 18, 2022

Security: Data privacy and security are often afterthoughts during the process of model creation but are critical in production. D2iQ is an AWS Containers Competency Partner , and D2iQ Kaptain is an enterprise Kubeflow product that enables organizations to develop and deploy machine learning workloads at scale.

Artificial Inteligence 72

Artificial Inteligence Machine Learning AWS Weak Development Team 72

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

TechCrunch

APRIL 26, 2021

Faculty , a VC-backed artificial intelligence startup, has won a tender to work with the NHS to make better predictions about its future requirements for patients, based on data drawn from how it handled the COVID-19 pandemic. We are, I believe, a really effective and scalable AI company, not just for the U.K.

Artificial Inteligence 231

Artificial Inteligence Machine Learning Artificial Intelligence Scalability 231

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. It also involves large amounts of data and near real-time processing.

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

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

AWS Machine Learning - AI

JULY 15, 2024

In this post we show you how Mixbook used generative artificial intelligence (AI) capabilities in AWS to personalize their photo book experiences—a step towards their mission. S3, in turn, provides efficient, scalable, and secure storage for the media file objects themselves.

Generative AI 100

Generative AI Artificial Inteligence AWS Technical Review 100

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). This type of growth has stressed legacy data management systems and makes it nearly impossible to implement a profitable data-centered solution. Factory Monitoring?—?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

CIO

SEPTEMBER 2, 2022

Software engineer. Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. Full-stack software engineer. Back-end software engineer. Director of software engineering.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CIO

AUGUST 31, 2022

Software engineer. Software engineers are one of the most sought-after roles in the US finance industry, with Dice citing a 28% growth in job postings from January to May. Full-stack software engineer. Back-end software engineer. Director of software engineering.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

Cloudera

JANUARY 20, 2021

Machine learning is now being used to solve many real-time problems. One big use case is with sensor data. Corporations now use this type of data to notify consumers and employees in real-time. Serving The Model . Through PySpark, data can be accessed from multiple sources. Background / Overview.

Machine Learning 116

Machine Learning Artificial Inteligence Applications Data 116

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.

Engineering 52

Engineering Data Storage AWS 52

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

Perficient

MARCH 23, 2023

In this article, we will compare Databricks Streaming and Apache Flink to understand the underlying architecture, performance, scalability, latency and fault tolerance characteristics as well as programming model differences between them. It also provides fault-tolerance and guarantees at-least-once processing semantics.

Data 83

Data Machine Learning Artificial Inteligence Data Engineering 83

CIO

SEPTEMBER 18, 2023

“Telcos are typically very good at building new networks but where we have fallen short is replacing and migrating customers from the old network to the new networks and infrastructure,” says Sumit Singh, vice president of network systems, planning, and engineering at Verizon.

Telecommunications 271

Telecommunications Network Systems Review Software Review 271

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

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

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 100

Cloud Machine Learning Artificial Inteligence Azure 100

CTOvision

MAY 1, 2014

Senior Software Engineer – Big Data. IO is the global leader in software-defined data centers. IO has pioneered the next-generation of data center infrastructure technology and Intelligent Control, which lowers the total cost of data center ownership for enterprises, governments, and service providers.

Big Data 107

Big Data Data Engineering Engineering Data Center 107

DataRobot

JUNE 1, 2022

Through a series of virtual keynotes, technical sessions, and educational resources, learn about innovations for the next decade of AI, helping you deliver projects that generate the most powerful business results while ensuring your AI solutions are enterprise ready—secure, governed, scalable, and trusted.

Virtualization 119

Virtualization Artificial Inteligence Machine Learning Artificial Intelligence 119

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. Forecasting demand with machine learning in Walmart. When walking around any store, small or large, you always expect to find a product you need.

Artificial Inteligence 89

Artificial Inteligence Artificial Intelligence Retail Innovation 89

Kentik

APRIL 12, 2023

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. DataOps team roles In a DataOps team, several key roles work together to ensure the data pipeline is efficient, reliable, and scalable.

Network 52

Network Data Engineering Machine Learning Artificial Inteligence 52

Cloudera

FEBRUARY 16, 2021

You can use COD with: Cloudera DataFlow to ingest and aggregate data from various sources. Cloudera Data Engineering to ingest bulk data and data from mainframes. Cloudera Data Warehouse to perform ETL operations. Cloudera Machine learning to train and serve machine learning and AI models.

Machine Learning 86

Machine Learning Artificial Inteligence Data Engineering Policies 86

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 94

System Artificial Inteligence Machine Learning Training 94

Cloudera

AUGUST 3, 2022

Customers will now get the same consistent view of their data with the analytic processing engine of their choice without any compromises. . Within CDP, Shared Data Experience (SDX) provides centralized governance, security, cataloging, and lineage. Fine grained access control (FGAC) with Spark. Starting with CDP 7.1.7

Policies 93

Policies Machine Learning Artificial Inteligence Data Engineering 93

Trigent

AUGUST 26, 2022

Trigent offers end-to-end consulting services, design, development, and managed services across Infrastructure, Cloud, Mobility, BI, Analytics, Product Engineering, Quality Engineering, IoT, Data Engineering, and Artificial Intelligence.

Software Review 52

Software Review Software Technical Review Artificial Inteligence 52

Newgen Software

JUNE 5, 2024

In today’s rapidly evolving business landscape, establishing robust GenAI and machine learning capabilities is of the utmost importance, especially for enterprises managing substantial data volumes. Tereza needs an interface/platform that allows her to connect to different data sources and have a singular view.

Banking 52

Banking Machine Learning Artificial Inteligence Generative AI 52

Netflix Tech

MARCH 5, 2019

Netflix’s engineering culture is predicated on Freedom & Responsibility, the idea that everyone (and every team) at Netflix is entrusted with a core responsibility and they are free to operate with freedom to satisfy their mission. All these micro-services are currently operated in AWS cloud infrastructure.

Infrastructure 74

Infrastructure Scalability Cloud Data 74

AWS Machine Learning - AI

AUGUST 8, 2024

As one of the largest AWS customers, Twilio engages with data, artificial intelligence (AI), and machine learning (ML) services to run their daily workloads. Data is the foundational layer for all generative AI and ML applications. Create a simple web application using LangChain and Streamlit.

Artificial Inteligence 96

Artificial Inteligence Data Generative AI AWS 96

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

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. Kudu has this covered.

Analytics 92

Analytics Machine Learning Artificial Inteligence Telecommunications 92