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. Data 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. Data engineer.

Software Engineering 246

Software Engineering Data Engineering DevOps AWS 246

CTOvision

FEBRUARY 20, 2015

Hortonworks'' Hadoop Data Platform (HDP) is now a supported feature on Google Cloud. Jason Verge, "Hortonworks Becomes Official Google Cloud Feature". Hortonworks was already available on Microsoft''s Azure cloud, and Amazon''s AWS. Hortonworks Becomes Official Google Cloud Feature (datacenterknowledge.com).

Google Cloud 108

Google Cloud Cloud Big Data Azure 108

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. Therefore, the majority of machine learning/deep learning frameworks focus on Python APIs.

Machine Learning 107

Machine Learning Artificial Inteligence Scalability Data Engineering 107

CloudSphere

OCTOBER 29, 2019

The advantages of cloud computing are only expanding. Cisco predicts global cloud IP traffic will account for 95 percent of all data center traffic by 2021. In a survey of IT managers, Sada Systems , a Google Cloud Partner, 84 percent of those surveyed are using public cloud infrastructure as opposed to corporate data centers.

Google Cloud 40

Google Cloud Cloud Azure AWS 40

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. Cloud-based AI services make this possible. Major cloud service providers have paved a way for AI in the cloud.

Artificial Inteligence 52

Artificial Inteligence Cloud Machine Learning Azure 52

Capgemini

JANUARY 17, 2023

Many data and technology leaders believe it’s not enough to think about the cloud in the singular sense — instead, they think about building a multi-cloud environment. As the adoption of cloud-based technology grows, many look for solutions that can move across major clouds (such as those from AWS, Azure, and Google Cloud).

Strategy 52

Strategy Technical Review Data Artificial Inteligence 52

Mobilunity

MAY 20, 2021

Usually, cloud developers focus on working with one particular system as it requires in-depth knowledge. So, if a company plans on building an application based on Amazon’s hosting services, it needs an AWS cloud engineer. But if you choose Microsoft instead, you’ll need an Azure cloud engineer for that. Cloud Architect.

Engineering 52

Engineering Cloud Google Cloud Azure 52

OpenCredo

APRIL 20, 2021

Machine learning has great potential for many businesses, but the path from a Data Scientist creating an amazing algorithm on their laptop, to that code running and adding value in production, can be arduous. Here are two typical machine learning workflows. Monitoring. Does it only do so at weekends, or near Christmas?

Machine Learning 140

Machine Learning Artificial Inteligence Software Review Open Source 140

Apiumhub

MARCH 12, 2024

Implementation: Using edge computing frameworks like AWS IoT Greengrass or Azure IoT Edge to deploy machine learning models directly on edge devices for real-time data analysis. Quantum Computing: A Paradigm Shift in Processing Power Quantum computing represents the next frontier in computational capability.

Trends 52

Trends Innovation Cloud Serverless 52

Sunflower Lab

FEBRUARY 12, 2024

Cloud-based AI Platforms Cloud providers such as Google Cloud AI, Amazon Web Services (AWS), and Microsoft Azure offer services for training and deploying custom LLMs. Fine-tuning plays a vital role in machine learning when we need to adapt an existing model to a specific task or domain.

Artificial Inteligence 52

Artificial Inteligence Training Software Review Systems Review 52

ParkMyCloud

JUNE 20, 2019

Azure AKS manages your hosted Kubernetes environment, making it simple to deploy and manage containerized applications without container orchestration expertise, divesting much of that responsibility to Azure – much like EKS and GKE do for AWS and Google Cloud. Machine Learning model training with AKS.

Azure 62

Azure Microservices Google Cloud IoT 62

O'Reilly Media - Ideas

JANUARY 22, 2019

This practice incorporates machine learning in order to make sense of data and keep engineers informed about both patterns and problems so they can address them swiftly. Knative vs. AWS Lambda vs. Microsoft Azure Functions vs. Google Cloud.

Systems Review 79

Systems Review Trends Engineering System 79

Capgemini

MARCH 13, 2023

New hybrid-cloud solutions for telcos are coming from hyperscalers During the event, we saw hyperscalers widening their product portfolios for the telco industry to reduce any friction to the cloudification of networks and IT infrastructures. Hyperscalers AWS and Azure also backed the project.

Energy 52

Energy Wireless Artificial Inteligence Technical Review 52

Agile Engine

JANUARY 10, 2019

Fixing Content Discovery (and Delivery) with Machine Learning and Predictive Analysis. The media companies participating in last year’s CES expressed two major expectations for artificial intelligence and machine learning: Optimization of content delivery. Personalization of content discovery.

Media 66

Media Software Development Industry Artificial Inteligence 66

Existek

JUNE 20, 2023

It continued expanding beyond databases and authentication to include services like Firebase Cloud Messaging, Firebase Hosting, Firebase Storage, Firebase Analytics, Firebase Performance Monitoring, etc. Firebase seamlessly integrates with various Google services, such as Google Analytics, Google Ads, and Google Cloud Platform.

Technical Review 52

Technical Review Software Review Authentication Scalability 52

John Snow Labs

JUNE 1, 2023

A common approach is to train machine learning models on large datasets of annotated texts that indicate the presence of ADEs. John Snow Labs’ Healthcare NLP is an open source text processing NLP library for Python , Java, and Scala. Extracting conditions and benefits from drug reviews using techniques such as NER.

Healthcare 52

Healthcare Software Review Systems Review Technical Review 52

Xebia

FEBRUARY 25, 2024

Machine learning operations: what and why MLOps, what the fuzz? MLOps stands for machine learning (ML) operations. Data science is generally not operationalized Consider a data flow from a machine or process, all the way to an end-user. The most common open source tool that allows you to do this is MLflow.

Applications 130

Applications Technical Review Software Review Azure 130

Gorilla Logic

OCTOBER 21, 2022

It has been open source since the first commit and was announced as a top-level project by Apache in 2019. Apache Airflow is often used to push and pull data from other systems such as Amazon Web Services (AWS) or Google Cloud. Why Apache Airflow is ideal for data pipelines. Working with connections.

Scalability 52

Scalability Data Examples Lambda 52

CIO

AUGUST 18, 2022

With the advent of big data, a second system of insight, the data lake, appeared to serve up artificial intelligence and machine learning (AI/ML) insights. Moonfare, a private equity firm, is transitioning from a PostgreSQL-based data warehouse on AWS to a Dremio data lakehouse on AWS for business intelligence and predictive analytics.

Data 350

Data Artificial Inteligence Technical Advisors Technical Review 350

Confluent

OCTOBER 3, 2019

Fortunately, Confluent Cloud allows the system to scale by distributing the workload out to several instances of our AI-enabled data extraction engine. Why move to the cloud? Reasons to choose Confluent Cloud. Before moving to Confluent Cloud, we looked at some alternatives, but none of them seemed to meet all of our needs.

Cloud 15

Cloud Artificial Inteligence Artificial Intelligence AWS 15

Altexsoft

JULY 1, 2021

AIaaS or MLaaS stands for Artificial Intelligence (Machine Learning) as a service, which refers to AI solutions offered by an external provider. Microsoft Azure Machine Learning (Azure ML). Azure Machine Learning (Azure ML) enables the building and management of machine learning solutions in the cloud.

Artificial Inteligence 59

Artificial Inteligence Azure Software Review Google Cloud 59

Exadel

DECEMBER 4, 2019

We found that our commitment to agile development, open source and innovation-based technologies helped organizations create and maintain amazing products and platforms the most effectively. It can be deployed to AWS, Azure, or Google Cloud Platform (GCP). AEM Authoring Toolkit. International Expansion.

Software Review 10

Software Review Blockchain Open Source Technical Review 10

O'Reilly Media - Ideas

JANUARY 17, 2023

” If none of your models performed well, that tells you that your dataset–your choice of raw data, feature selection, and feature engineering–is not amenable to machine learning. All of this leads us to automated machine learning, or autoML. Perhaps you need a different raw dataset from which to start.

Software Review 137

Software Review Development Team Review Machine Learning Artificial Inteligence 137

Hu's Place - HitachiVantara

AUGUST 5, 2019

The difficulty of monetizing a business based upon open-source software is challenging. Analysts are also predicting that the Big Data Analytics ecosystem will converge around AWS, Azure, and Google Cloud and many of these smaller companies will be acquired or displaced by the large public cloud vendors. .”

Artificial Inteligence 8

Artificial Inteligence Big Data AWS Azure 8

O'Reilly Media - Ideas

JANUARY 25, 2024

Before that, cloud computing itself took off in roughly 2010 (AWS was founded in 2006); and Agile goes back to 2000 (the Agile Manifesto dates back to 2001, Extreme Programming to 1999). PyTorch, the Python library that has come to dominate programming in machine learning and AI, grew 25%. But those are only guesses.

Trends 118

Trends Technical Review Technology Artificial Inteligence 118

O'Reilly Media - Ideas

JUNE 1, 2022

Google Brain’s Imagen creates photorealistic images that are impressive, even after you’ve seen what DALL-E 2 can do. And Allen AI’s Macaw (surely an allusion to Emily Bender and Timnit Gebru’s Stochastic Parrots paper) is open source, one tenth the size of GPT-3, and claims to be more accurate. Artificial Intelligence.

Artificial Inteligence 121

Artificial Inteligence Trends Open Source 3D 121

O'Reilly Media - Ideas

OCTOBER 19, 2021

Much has been written about struggles of deploying machine learning projects to production. This approach has worked well for software development, so it is reasonable to assume that it could address struggles related to deploying machine learning in production too. However, the concept is quite abstract.

DevOps 143

DevOps Data Software Review Technical Advisors 143

Existek

JANUARY 27, 2023

For example, many financial institutions are now using artificial intelligence and machine learning to analyze customer data and identify new opportunities for growth. Emerging technologies such as blockchain, AI, and machine learning are also becoming increasingly important in financial services software development.

Software Development 52

Software Development Trends Technology Software 52

Altexsoft

NOVEMBER 1, 2023

Word embeddings translate words or phrases into numerical vectors of fixed size, making it easier for machine learning models to process. Sentiment analysis enhancement Sentiment analysis is a technique that combines statistics, NLP, and machine learning to detect and extract subjective content from text. Why use it?

Artificial Inteligence 52

Artificial Inteligence Machine Learning Systems Review Training 52

O'Reilly Media - Ideas

MARCH 1, 2023

Software development is followed by IT operations (18%), which includes cloud, and by data (17%), which includes machine learning and artificial intelligence. When you add searches for Go and Golang, the Go language moves from 15th and 16th place up to 5th, just behind machine learning. Alternatives are emerging.

Trends 136

Trends Technical Review Technology Software Review 136

Altexsoft

JUNE 1, 2020

Data lakes are repositories used to store massive amounts of data, typically for future analysis, big data processing, and machine learning. You will also learn what are the essential building blocks of a data lake architecture, and what cloud-based data lake options are available on AWS, Azure, and GCP.

Data 69

Data Cloud Azure Storage 69

OTS Solutions

SEPTEMBER 5, 2023

Overall, GIT’s presence in the cloud significantly enhances the productivity and efficiency of DevOps processes, making it an indispensable tool for modern software development teams. One key aspect of the future of DevOps in the cloud is the integration of AI and machine learning.

DevOps 130

DevOps Cloud Software Review Weak Development Team 130

Altexsoft

APRIL 26, 2022

Initially built on top of the Amazon Web Services (AWS), Snowflake is also available on Google Cloud and Microsoft Azure. As such, it is considered cloud-agnostic. Source: Snowflake. Informatica Cloud and Informatica PowerCenter are cloud data management tools that work collaboratively with Snowflake.

Weak Development Team 59

Weak Development Team Data Storage Technical Review 59

Daniel Bryant

OCTOBER 18, 2021

The event mirrored this with a stronger focus on use cases from enterprise end-users, exploration of practical security considerations, and discussions on how to build cloud platforms and software at scale. I also learned about the “ kui ” kubectl augmenting/replacing tool located in the K8s SIGs GitHub repo.

Software Review 98

Software Review Technical Review Cloud Off-The-Shelf 98

ProdOps

FEBRUARY 16, 2021

In the most recent acquisition for the company, DoiT International (DoiT), a global multi-cloud software and managed service provider with deep expertise in Kubernetes, Machine Learning, and Big Data, today announced that it has acquired ProdOps , a top provider of scalable software operations and infrastructure automation services.

Fractional CTO 52

Fractional CTO Cloud Company Google Cloud 52

CircleCI

MAY 27, 2022

Most cloud providers offer serverless functions, which they may refer to as functions as a service (FaaS). The leading offerings are AWS Lambda , Azure Functions , and Google Cloud Functions , each with many integrations within the associated ecosystems. Deploying a serverless application with AWS.

Serverless 52

Serverless Applications Technical Review Microservices 52