O'Reilly Media - Ideas

JANUARY 8, 2019

From infrastructure to tools to training, Ben Lorica looks at what’s ahead for data. In a recent O’Reilly survey , we found that the skills gap remains one of the key challenges holding back the adoption of machine learning. Cloud for data infrastructure. Continuing investments in (emerging) data technologies.

Trends 87

Trends Data Machine Learning Artificial Inteligence 87

Cloudera

AUGUST 18, 2021

In digital transformation projects, it’s easy to imagine the benefits of cloud, hybrid, artificial intelligence (AI), and machine learning (ML) models. In modern hybrid environments, data traverses clouds, on-premise infrastructure and IoT networks, so the process can get very complex. technologies.

Innovation 88

Innovation Artificial Inteligence Data IoT 88

d2iq

NOVEMBER 28, 2022

If modified Henry Ford were the CIO of an organization today, you can be sure he would be leveraging leading-edge technologies like Kubernetes, edge/IoT, AI, and machine learning in the cloud. A Modern Innovation Engine Henry Ford was fanatical about maximizing efficiency and performance.

Cloud 78

Cloud Automotive Journal Innovation 78

Openxcell

JULY 10, 2023

As the world is experiencing the fourth industrial revolution ( industry 4.0), advanced modern technologies like Machine Learning (ML), Artificial Intelligence (AI), the Internet of Things (IoT), and Digital Twins (DT) are essential. As a result, energy demand is optimized, and operating costs are reduced.

Examples 52

Examples Trends Artificial Inteligence Applications 52

OTS Solutions

DECEMBER 22, 2023

Overview of Digital Transformation Digital transformation means the operational, cultural, and organizational changes within an organization’s ecosystem with the help of modern technologies such as cloud computing, the Internet of Things, artificial intelligence, machine learning, mobile apps, etc. Implementation. Acceleration.

Artificial Inteligence 130

Artificial Inteligence Technical Review Artificial Intelligence Weak Development Team 130

Trigent

APRIL 14, 2022

From an IT/networking perspective, distributed enterprises always moved away from a centralized IT infrastructure to connected islands to maximize convenience, networking and efficiency, faster access, and localized control. Here, we want to talk about how the workplace has changed forever: especially the distributed enterprise. .

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Cloudera

SEPTEMBER 6, 2022

There remain challenges in workforce management, particularly in call centers, and order backlogs for fiber broadband and other physical infrastructure are being worked through. It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning.

Telecommunications 84

Telecommunications Architecture Data Government 84

Capgemini

FEBRUARY 13, 2024

Using artificial intelligence (AI) and machine learning (ML) allows for continuous improvements from data usage, ensuring a product’s longevity, not obsolescence. Cloud integration: A cloud infrastructure is used for tasks that benefit from centralized processing, allowing scalability and data storage.

Artificial Inteligence 52

Artificial Inteligence Company Data Artificial Intelligence 52

Altexsoft

SEPTEMBER 16, 2021

The key technology driving DTs is the Internet of Things (IoT) sensors which initiate the exchange of information between assets and their software representation. The hardware part also includes actuators, converting digital signals into mechanical movements, network devices like routers, edge servers, and IoT gateways, etc.

IoT 64

IoT Technical Review Technical Advisors Energy 64

Altexsoft

FEBRUARY 21, 2022

There has been a lot of buzz around data science, machine learning (ML), and artificial intelligence (AI) lately. As you may already know, to train a machine learning model, you need data. To save you time, watch our 14-minute video on how data is prepared for machine learning. So, where were we?

Training 52

Training Artificial Inteligence Machine Learning Systems Review 52

Existek

JANUARY 11, 2022

The cloud computing market covers many areas like business processes, infrastructure, platform, security, management, analytics supported by cloud providers. Among the customers of AWS, you can find the following organizations: Automotive – BMW, Toyota. Hybrid cloud and infrastructure. Manufacturing – HP, Renault.

Azure 52

Azure AWS Cloud How To 52

Altexsoft

OCTOBER 31, 2023

As you develop, enhance your toolkit with machine learning and AI capabilities to scrutinize available data even deeper, make more accurate predictions about customer demand , implement smart chatbots, roll out personalized campaigns, and understand market trends better.

Strategy 52

Strategy How To Mobile Media 52

Altexsoft

APRIL 13, 2023

Due to extensive usage of connected IoT devices and advanced processing technologies, SCCTs not only gather data and build operational reports but also create predictions, define the impact of various macro- and microeconomic factors on the supply chain, and run “what-if” scenarios to find the best course of action.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

CIO

AUGUST 3, 2022

When Cargill started putting IoT sensors into shrimp ponds, then CIO Justin Kershaw realized that the $130 billion agricultural business was becoming a digital business. To help determine where IT should stop and IoT product engineering should start, Kershaw did not call CIOs of other food and agricultural businesses to compare notes.

SDLC 326

SDLC IoT Machine Learning Artificial Inteligence 326