d2iq

MAY 19, 2022

They also knew how to architect the cloud-native apps that are required to seamlessly deliver their services to millions of customers, along with a cloud-native platform that gave them new levels of agility and enabled them to update the apps multiple times per day. AI already surrounds us, often without the average user realizing it.On

Cloud 52

Cloud Artificial Inteligence Automotive Healthcare 52

O'Reilly Media - Ideas

MAY 1, 2019

Get hands-on training in machine learning, blockchain, cloud native, PySpark, Kubernetes, and many other topics. Learn new topics and refine your skills with more than 160 new live online training courses we opened up for May and June on the O'Reilly online learning platform. AI and machine learning.

Course 46

Course Training Artificial Inteligence Machine Learning 46

RapidValue

AUGUST 11, 2019

It is born out of a need for the organizations to be increasingly agile. DPA goes beyond the internal processes by empowering organizations to become even more customer-centric in their approach, while remaining agile and innovative in their product development and responsive to market trends and demands. Manufacturing.

Artificial Inteligence 32

Artificial Inteligence IoT Retail Agile 32

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.; The readings from IoT sensors and other connected devices (e.g.,

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Actian

SEPTEMBER 17, 2019

Modern time-series databases cover traditional time-series data capabilities, however, they are designed and optimized for capturing data chronology and ingesting data from unstructured and multi-variate streaming data sources including binary large objects, JSON data, and adherence to standards for the latest in IoT connectivity.

Artificial Inteligence 40

Artificial Inteligence Data Artificial Intelligence IoT 40

Coforge

AUGUST 9, 2019

NIIT Technologies: The Travel and Transportation sector is growing exponentially around the world. What do you believe is the role of technology in enabling the Travel and Transportation sector to keep up with the increasing number of passengers and their expectations? How do you foresee that evolving in the next few years?

Transportation 8

Transportation Travel Airlines Technology 8

CIO

AUGUST 15, 2023

Beginning with information-gathering sessions with stakeholders to define the problems and needs, the Office of the CTO (OCTO) leveraged human-centered design principles and agile development principles to pilot SafeSpect within five months of the project kickoff date. million vehicle inspections across the US annually.

Technical Review 237

Technical Review Artificial Inteligence Systems Review Weak Development Team 237

CTOvision

DECEMBER 30, 2015

And the agility of this model is helping innovators innovate and developers develop. AI and related disciplines like Machine Learning are enabling computers to assist humans in performance of their jobs now, and with AI being coupled with incredibly low cost cloud computing we see rapid development of capabilities continuing.

Technical Review 62

Technical Review Trends Report Enterprise 62

AWS Machine Learning - AI

APRIL 22, 2024

While ESG remains a key aspect of sustainability, tapping into industry-specific expertise across sectors such as energy , supply chain , and manufacturing, transportation, or agriculture can uncover diverse generative AI for sustainability use cases tailored to your business’s applications.

Generative AI 105

Generative AI Sustainability Artificial Inteligence AWS 105

Altexsoft

FEBRUARY 8, 2021

Supply chain practitioners and CEOs surveyed by 6river share that the main challenges of the industry are: keeping up with the rapidly changing customer demand, dealing with delays and disruptions, inefficient planning, lack of automation, rising costs (of transportation, labor, etc.),

Business Intelligence 87

Business Intelligence Analytics Analysis Data 87

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. When it comes to constantly accelerating data in various formats, its transportation gets more complex.

Big Data 75

Big Data Data Engineering Engineering Data 75

Palo Alto Networks

AUGUST 18, 2021

With higher data speeds and latency improvements along with greater agility, efficiency and openness, secure 5G adoption will be a core driver of digital transformation. 5G networks will also accelerate exponential growth of connected Internet of Things (IoT) devices, which will be increasingly integrated into federal infrastructure.

IoT 66

IoT Firewall Network Infrastructure 66

Altexsoft

JUNE 25, 2019

Being at the top of data science capabilities, machine learning and artificial intelligence are buzzing technologies many organizations are eager to adopt. The process of transporting data from sources into a warehouse. wrangling the data into a single location for convenience in machine learning projects.

Data Engineering 106

Data Engineering Engineering Data Artificial Inteligence 106