CIO

APRIL 30, 2024

AI, including Generative AI (GenAI), has emerged as a transformative technology, revolutionizing how machines learn, create, and adapt. Edge storage solutions: AI-generated content—such as images, videos, or sensor data—requires reliable and scalable storage. billion in 2027 with a compound annual growth rate (CAGR) of 86.1%

Artificial Inteligence 250

Artificial Inteligence Storage Artificial Intelligence Retail 250

Cloudera

OCTOBER 13, 2021

Imagine if you had to explain what machine learning is and how to use it. Cloudera produced a series of ebooks — Production Machine Learning For Dummies , Apache NiFi For Dummies , and Apache Flink For Dummies (coming soon) — to help simplify even the most complex tech topics. There’s no need to panic.

Machine Learning 75

Machine Learning Artificial Inteligence Data IoT 75

CIO

FEBRUARY 22, 2024

Since its creation over five years ago, the Digital Hub has included a team of experts in innovation, technologies, and trends — such as IoT, big data, AI, drones, 3D printing, or advances in customer experience — who work in concert with other business units to identify and execute new opportunities.

Artificial Inteligence 256

Artificial Inteligence IoT Technical Review Artificial Intelligence 256

CIO

FEBRUARY 14, 2023

Titanium Intelligent Solutions, a global SaaS IoT organization, even saved one customer over 15% in energy costs across 50 distribution centers , thanks in large part to AI. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 287

Artificial Inteligence Strategy Data Machine Learning 287

OTS Solutions

DECEMBER 12, 2023

Overview of AI in the Manufacturing Industry AI technologies, such as machine learning and robotic process automation, can enhance manufacturing operations by increasing efficiency, improving quality control, and reducing costs. AI-powered robots can perform repetitive and dangerous tasks, minimizing human intervention.

Artificial Inteligence 130

Artificial Inteligence Industry Artificial Intelligence Machine Learning 130

O'Reilly Media - Data

OCTOBER 31, 2019

Theodore Summe offers a glimpse into how Twitter employs machine learning throughout its product. Megan Kacholia explains how Google’s latest innovations provide an ecosystem of tools for developers, enterprises, and researchers who want to build scalable ML-powered applications.

Machine Learning 190

Machine Learning Artificial Inteligence IoT Open Source 190

TechCrunch

FEBRUARY 17, 2021

“TigerGraph is leading the paradigm shift in connecting and analyzing data via scalable and native graph technology with pre-connected entities versus the traditional way of joining large tables with rows and columns,” said TigerGraph founder and CEO, Yu Xu. ”

Enterprise 217

Enterprise Artificial Inteligence Machine Learning Analytics 217

CIO

OCTOBER 1, 2022

Cretella says P&G will make manufacturing smarter by enabling scalable predictive quality, predictive maintenance, controlled release, touchless operations, and manufacturing sustainability optimization. These things have not been done at this scale in the manufacturing space to date, he says. Smart manufacturing at scale.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

Palo Alto Networks

MARCH 10, 2020

The enterprise internet of things (IoT) is rapidly growing, paving the way for innovative new approaches and services in all industries, such as healthcare and manufacturing. million IoT devices in thousands of physical locations across enterprise IT and healthcare organizations in the United States. Unit 42 recently analyzed 1.2

IoT 61

IoT Enterprise Firewall Healthcare 61

CIO

JULY 31, 2022

But most importantly, without strong connectivity, businesses can’t take advantage of the newest advancements in technology such as hybrid multi-cloud architecture, Internet of Things (IoT), Artificial Intelligence (AI), Machine Learning (ML) and edge micro data centre deployment.

Artificial Inteligence 222

Artificial Inteligence Strategy Artificial Intelligence Weak Development Team 222

CIO

SEPTEMBER 8, 2022

Machine learning (ML) is a commonly used term across nearly every sector of IT today. This article will share reasons why ML has risen to such importance in cybersecurity, share some of the challenges of this particular application of the technology and describe the future that machine learning enables.

Machine Learning 357

Machine Learning Artificial Inteligence CTO Malware 357

Cloudera

SEPTEMBER 11, 2018

Last week Cloudera introduced an open end-to-end architecture for IoT and the different components needed to help satisfy today’s enterprise needs regarding operational technology (OT), information technology (IT), data analytics and machine learning (ML), along with modern and traditional application development, deployment, and integration.

IoT 40

IoT Machine Learning Artificial Inteligence Data 40

CIO

JULY 18, 2023

With the entry of ChatGPT and other generative AI, we expect the demand for data science, AI, and machine learning to further surge in the coming time,” says Aamir Khan, senior analyst at Everest Group. We have learned to think and act quickly in our efforts to attract and retain top talent in these areas,” says Jeanine L.

Technical Advisors 239

Technical Advisors Artificial Inteligence Generative AI How To 239

Cloudera

AUGUST 4, 2021

In fact, McKinsey points to a 50% reduction in downtime and a 40% reduction in maintenance costs when using IoT and data analytics to predict and prevent breakdowns. Navistar relies on predictive maintenance, which leverages IoT and data analytics to predict and prevent breakdowns of commercial trucks and school buses. “We

IoT 98

IoT Machine Learning Artificial Inteligence Government 98

AWS Machine Learning - AI

APRIL 11, 2024

The company is combining this expertise with the highly scalable, reliable, and secure AWS Cloud infrastructure to help customers run advanced graphics, machine learning, and generative AI workloads at an accelerated pace. Project Ceiba has also been a focus in media coverage. Campaign Manager in Americas Field Marketing.

Generative AI 93

Generative AI Artificial Inteligence AWS Innovation 93

Cutter Consortium

MARCH 22, 2018

IoT, 5G and AI are driving convergence of traditional computing models that deliver value to organizations. Cloud is about infinite compute and storage, training machine learning and other advanced AI tools, merging remote data from multiple devices and remote monitoring and management.

IoT 53

IoT Technical Review Machine Learning Artificial Inteligence 53

Cloudera

SEPTEMBER 15, 2021

Leveraging the Internet of Things (IoT) allows you to improve processes and take your business in new directions. That’s where you find the ability to empower IoT devices to respond to events in real time by capturing and analyzing the relevant data. The IoT depends on edge sites for real-time functionality. Real-time Demands.

Analytics 118

Analytics IoT How To Data Center 118

Perficient

FEBRUARY 1, 2024

AWS Glue is a serverless data integration service that simplifies the discovery, preparation, and movement of data for analytics, machine learning (ML), and application development. IoT Analytics: Ingest and analyze sensor data from IoT devices to enable real-time insights and actions.

AWS 52

AWS Serverless IoT Windows 52

AWS Machine Learning - AI

FEBRUARY 29, 2024

Knowledge Bases for Amazon Bedrock integrates with Amazon Bedrock foundation models to build scalable document embedding pipelines and document retrieval services to power a wide range of internal and customer-facing applications. She helps customers to build, train and deploy large machine learning models at scale.

Knowledge Base 107

Knowledge Base Artificial Inteligence Generative AI AWS 107

Perficient

NOVEMBER 28, 2023

Capturing data in real time: IoT and Priority Security This dynamic environment is powered by microservices that capture data by integrating with devices through IoT (Internet of Things). In the vehicular domain, our systems, connected to the Azure cloud via IoT, search for incident-related license plates in real time.

Innovation 52

Innovation Technology Artificial Inteligence Artificial Intelligence 52

Gorilla Logic

JUNE 5, 2018

In this blog series, you will explore the rise of IoT and how Gorillas are adapting to the trend. In this post, I introduce IoT from an embedded software – or systems – perspective. On the other hand, if you don’t know what IoT is, then please make a quick search and we’ll wait for you. Some of the IoT Challenges.

IoT 47

IoT Software Serverless AWS 47

TechCrunch

JANUARY 25, 2022

If machine learning is shaping up to be one of the more popular (and perhaps most obvious) applications for quantum computing, security is perhaps that theme’s most ominous leitmotif. Other sectors it’s working with include automotive OEM, industrial IoT, and technology consulting, it says.).

Technical Review 211

Technical Review Hardware Software Review Machine Learning 211

TechCrunch

NOVEMBER 30, 2022

Based around machine learning, CommonGround’s platform is theoretically learning all the time from its users: The more you use it, the more you train it and the more accurate it becomes. And to be clear, the startup confirms that the tech is not in any way connected to what others are building around the same concept.

VR 220

VR Video Technology Artificial Inteligence 220

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. Machine learning and AI: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Existek

MAY 8, 2023

The platform offers an array of tools and libraries that enable the creation of various types of applications, such as web, mobile, desktop, games, IoT, cloud-based, and microservices.NET has become a mature ecosystem for implementing modern and powerful solutions. Machine learning and AI: what is.NET used for?

Artificial Inteligence 52

Artificial Inteligence .Net Machine Learning Microservices 52

Apiumhub

MARCH 12, 2024

This paradigm shift significantly reduces latency, making real-time processing feasible for applications such as the Internet of Things (IoT), autonomous vehicles, and augmented reality. This event-driven model enhances efficiency, scalability, and cost-effectiveness. It delivers agility, scalability, and efficiency.

Trends 52

Trends Innovation Cloud Serverless 52

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

CIO

FEBRUARY 14, 2024

All of these additional machines, workloads, and services require trusted identities, which is amplifying the need for machine identity management.” Artificial Intelligence, Budgeting, CIO, Data Governance, Data Management, Generative AI, IT Governance, IT Leadership, Machine Learning, Security

Artificial Inteligence 357

Artificial Inteligence Generative AI Software Review Development Team Review 357

Apiumhub

MARCH 14, 2023

Better Scalability : Frameworks provide a solid foundation for scaling up the application, as they often include features for managing data, caching, and load balancing. Artificial intelligence and machine learning integration : adoption of AI and machine learning in business applications is increasing.

Software Development 78

Software Development Software Artificial Inteligence Development 78

InfoBest

JANUARY 25, 2024

Flexibility, scalability, and cost-efficiency are at the forefront. AI and machine learning have become ubiquitous, infiltrating almost every industry and even our homes, often operating quietly in the background, enhancing efficiency and user experiences. Unveiling the Advantages Why the emphasis on cloud solutions?

Software Development 52

Software Development Trends Software Development 52

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

OTS Solutions

JULY 18, 2023

DevOps methodology is an approach that emphasizes collaboration, automation, and continuous delivery, while digital engineering is a framework for developing, operating, and managing software systems that are scalable, resilient, and secure.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

Confluent

JANUARY 28, 2020

The combination of streaming machine learning (ML) and Confluent Tiered Storage enables you to build one scalable, reliable, but also simple infrastructure for all machine learning tasks using the Apache […].

Machine Learning 25

Machine Learning Artificial Inteligence Storage Scalability 25

Dzone - DevOps

JUNE 7, 2023

They contribute to efficiency, scalability , and improved decision-making, making them indispensable in modern software development. They also provide customization options, allowing developers to tailor software solutions to specific business requirements.

Software Development 40

Software Development System Software Development 40

OTS Solutions

JUNE 16, 2023

App modernization helps businesses to update their existing software into more progressive, scalable, and productive software. Application modernization is the process of updating or replacing outdated software applications and infrastructure to improve performance, scalability, and business agility.

Artificial Inteligence 130

Artificial Inteligence How To Technical Review Software Review 130

Tandem

APRIL 2, 2024

With the ever-expanding set of emerging technologies — big data, machine learning (ML), artificial intelligence (AI), next-gen user experiences (UI/UX), edge computing, the Internet-of-things (IoT), microservices, and Web3 — there is a huge surface area to address.

UI/UX 59

UI/UX Software Weak Development Team Artificial Inteligence 59

Kaseya

SEPTEMBER 18, 2023

The endpoints include everything from laptops, desktops and mobile devices to servers, point-of-sale (POS) terminals, cloud applications, internet-of-things (IoT), network, virtual and even remote systems. Scalability: XDR is highly scalable. Limited visibility into the IT network and scalability challenges.

Security 52

Security Systems Review Software Review Technical Review 52