Apps Associates

APRIL 20, 2022

Outcome highlights: A secure and scalable environment with improved architecture that provides their customers uninterrupted services. . Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services.

Disaster Recovery 52

Disaster Recovery Cloud AWS Organization 52

Existek

OCTOBER 31, 2023

By optimizing the flow of materials, information, and funds, companies can minimize waste, lower production and transportation costs, and ultimately improve their profitability with AI introduction. Many companies manage to minimize waste, reduce emissions, and use sustainable sourcing and transportation methods.

How To 52

How To Artificial Inteligence Artificial Intelligence Transportation 52

O'Reilly Media - Data

JULY 23, 2018

Executive Briefing: Agile for Data Science teams. The rise of deep learning has made this even more pronounced, as many modern neural network architectures rely on very large amounts of training data. Transportation and Logistics". "Machine Learning in the enterprise". Managing data science in the enterprise. Case studies.

Machine Learning 120

Machine Learning Artificial Inteligence How To Case Study 120

Apps Associates

OCTOBER 22, 2020

Outcome highlights: Cost consolidation / reduction, business continuity, improved future state architecture with ability to leverage breadth of AWS services. Apps Associates ongoing support and maintenance. Cobham Advanced Electronic Solutions, Inc. Beachbody, LLC, sells home exercise videos and dietary supplements.

AWS 40

AWS Disaster Recovery Backup Data Center 40

Altexsoft

APRIL 13, 2023

If we speak about end-to-end visibility, we mean that we should be able to have a granular view of all the main components of a supply chain: transportation – which entails control over the actual delivery process, tracking shipments , predicting ETA , etc.; increase customer satisfaction by giving real-time status updates; and so on.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

AWS Machine Learning - AI

MARCH 28, 2024

With the advancements being made with LLMs like the Mixtral-8x7B Instruct , derivative of architectures such as the mixture of experts (MoE) , customers are continuously looking for ways to improve the performance and accuracy of generative AI applications while allowing them to effectively use a wider range of closed and open source models.

Artificial Inteligence 105

Artificial Inteligence Generative AI AWS Load Balancer 105

Trigent

NOVEMBER 24, 2021

The challenges posed by the pandemic are urging businesses to be agile and responsive. The responsibility on the technologies and architecture that connect retailers, distributors, suppliers, manufacturers, and customers is enormous. Incorporate flexibility to scale with Modern EDI system architecture. Making a case for API.

Systems Review 97

Systems Review System B2B Technical Review 97

Agile Engine

JANUARY 16, 2024

Table of contents Introduction Front-end to befriend users Persistence of files and information Architecture breakdown Implementation Wrapping up Introduction Welcome to the second part of rapid application development using LLMs, specifically the LLM from Vertex AI. Persistence of the results in a database.

Artificial Inteligence 52

Artificial Inteligence Software Review Architecture Systems Review 52

Altexsoft

AUGUST 25, 2020

That’s why traditional data transportation methods can’t efficiently manage the big data flow. Big data fosters the development of new tools for transporting, storing, and analyzing vast amounts of unstructured data. Data lakes have much larger storage capacity. This greatly increases data processing capabilities.

Big Data 75

Big Data Data Engineering Engineering Data 75

Altexsoft

JUNE 25, 2019

This creates the necessity for integrating data in unified storage where data is collected, reformatted, and ready for use – data warehouse. The process of transporting data from sources into a warehouse. Data warehouse architecture. Data warehouse storage. This will improve the warehouse’s scalability.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106

The Agile Monkey

DECEMBER 22, 2022

The Problem When developing a new app, it’s important to consider which backend stack to use for data synchronization and storage. We are two developers from The Agile Monkeys with a strong background in iOS development, but very limited experience with backend production projects. Keep reading! Why this tutorial?

Authentication 52

Authentication Windows Serverless Open Source 52

Altexsoft

MARCH 10, 2021

Data is no longer scattered across siloed storages. Example: connecting a legacy CRM system to a data warehouse or a transportation management system (TMS). Let’s look at existing technologies and architecture models that make the integration magic happen. The point-to-point (star/spaghetti) integration architecture.

Systems Review 108

Systems Review System Software Review Technical Review 108

LeanEssays

JANUARY 21, 2016

On the 15th anniversary of the Agile Manifesto , let's look at what else was happening while we were focused on spreading the Manifesto ’ s ideals. He claimed that “the core functions of IT – data storage, data processing, and data transport” had become commodities, just like electricity, and they no longer provided differentiation.

Software Review 55

Software Review Innovation Software Technical Advisors 55

Kentik

MAY 17, 2021

Many of our customers already running large on-prem networks noted a trend: As their companies settled into the cloud, network teams were asked to step up to help configure network architectures, establish connectivity to their data and remote offices, and solve connectivity issues for the app teams. But those days are gone. Adapt or die.

Network 52

Network Cloud AWS Architecture 52