O'Reilly Media - Ideas

JANUARY 8, 2019

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. For most companies, the road toward machine learning (ML) involves simpler analytic applications. Tools for secure and privacy-preserving analytics.

Trends 89

Trends Data Machine Learning Artificial Inteligence 89

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

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 91

Innovation Artificial Inteligence Data IoT 91

Cloudera

SEPTEMBER 18, 2020

In Part Two they will look at how businesses in both sectors can move to stabilize their respective supply chains and use real-time streaming data, analytics, and machine learning to increase operational efficiency and better manage disruption. The 6 key takeaways from this blog are below: 6 key takeaways.

Retail 86

Retail Weak Development Team Machine Learning Artificial Inteligence 86

Capgemini

JANUARY 8, 2020

IoT (internet of things) – IoT technologies can make a huge difference in manufacturing, using sensors, cameras, and other smart devices to provide timely intelligence on the effectiveness of all manufacturing processes and producing the data needed to fine-tune them to deliver the best results.

Technology 52

Technology Automotive IoT Machine Learning 52

Capgemini

MAY 15, 2020

In my last post , I showed how artificial intelligence and analytics can play a significant role in increasing cash flow for manufacturers. . Using data and analytics, artificial intelligence and machine learning can help manufacturers make more accurate warranty predictions and , in some cases, avoid a warranty claim altogether.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Automotive Analytics 52

Mobilunity

JUNE 5, 2023

The automotive industry has been an engine of transformation and innovation for over a century, revolutionizing the way we travel and shaping the modern world. In this article, we embark on a journey through the realms of the automotive industry, exploring its vibrant landscape, emerging trends, and groundbreaking advancements.

Automotive 52

Automotive Software Development Software Artificial Inteligence 52

Trigent

APRIL 14, 2022

The solution came in the form of an Intelligent Edge solution from FogHorn that makes complex machine learning modules run on highly constrained devices. With upcoming 5G rollouts, massive IoT networks, mmWave, and network slicing requirements, their cloud and edge capabilities will be of an entirely different scale.

Enterprise 52

Enterprise Technology Artificial Inteligence IoT 52

Xicom

DECEMBER 10, 2018

Machine Learning and Artificial Intelligence. Apple’s Siri shows why machine learning and artificial intelligence are very much part of mobile apps and they will progress more. There is a rise in demand for machine learning and AI in the form of virtual assistants and chatbots and this is what people are waiting for. ?

Mobile 40

Mobile Artificial Inteligence Trends Development 40

Altexsoft

APRIL 13, 2023

The annual IHS Markit Supply Chain Survey Report found that 63 percent of companies don’t have sufficient technology to approach their top priority optimization strategy, i.e., spend analytics (the situation within other strategic areas is similar). It also often includes analytics, reporting, and forecasting capabilities.

Technical Review 59

Technical Review Software Review Analytics Systems Review 59

Cloudera

SEPTEMBER 11, 2020

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . Data and analytics. Automation opportunities.

Retail 93

Retail Technical Review Apparel Analytics 93

Openxcell

APRIL 25, 2023

The global Artificial Intelligence market is expanding considerably as a result of the increasing demand for AI technology across numerous industry verticals, including retail, BFSI, healthcare, food and beverage, automotive, and logistics. In smart shops, this data can be collected from IoT devices as well as integrated platforms.

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence ChatGPT Healthcare 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. Data and analytics. Manufacturing – HP, Renault. Governments .

Azure 52

Azure AWS Cloud How To 52

Openxcell

JULY 10, 2023

The digital twin technology has expanded beyond manufacturing to include Artificial Intelligence, the Internet of Things, and Data Analytics. Real-time monitoring Digital twins can also be integrated with IoT to monitor physical objects and systems in real time. As a result, energy demand is optimized, and operating costs are reduced.

Examples 52

Examples Trends Artificial Inteligence Applications 52

Capgemini

FEBRUARY 13, 2024

Companies that strategically use data-driven technology such as predictive analytics will gain a competitive advantage in customer experience, but they must also prioritize the challenges inherent in collecting, using, and safeguarding client data. Track how quickly your heart rate returns to resting after a brisk trail run. “I

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

Cloudera

SEPTEMBER 6, 2022

It is an edge-to-AI suite of capabilities, including edge analytics, data staging, data quality control, data visualization tools, and machine learning. Key design principles include: Multi-cloud and on-premises Cloudera is the only hybrid data platform that spans multi-cloud and on-premises data management and analytics.

Telecommunications 87

Telecommunications Architecture Data Government 87

Altexsoft

JANUARY 11, 2019

Machine learning and data science advisor Oleksandr Khryplyvenko notes that 2018 wasn’t as full of memorable breakthroughs for the industry, unlike previous years. So, it’s not the state-of-the-art that motivates businesses to use data science more but the standardized approach to machine learning model building. ”.

Artificial Inteligence 94

Artificial Inteligence Artificial Intelligence Trends Data 94

Altexsoft

OCTOBER 31, 2023

Because of lack of integration, cross-channel customer interactions aren’t captured, so data collected for analytics is often fragmented and incomplete. You can gather data from various sources, including website analytics, social media insights, and customer surveys. Map customer journeys.

Strategy 52

Strategy How To Mobile Media 52

Cloudera

MAY 25, 2021

Data and analytics have become second nature to most businesses, but merely having access to the vast volumes of data from these devices will no longer suffice. This entails next-generation stream processing and analytics to ingest, process, and deliver real-time data. Employ scalable solutions to process vast amounts of data.

Automotive 74

Automotive Analytics Construction Insurance 74

CIO

AUGUST 3, 2022

In today’s data economy, in which software and analytics have emerged as the key drivers of business, CEOs must rethink the silos and hierarchies that fueled the businesses of the past. The majority said, “analytics.” With better analytics, they could have pivoted their distribution channels more quickly. . The cloud.

SDLC 363

SDLC IoT Machine Learning Artificial Inteligence 363