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 264

Artificial Inteligence IoT Technical Review Artificial Intelligence 264

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 245

Artificial Inteligence Strategy Artificial Intelligence Weak Development Team 245

CIO

FEBRUARY 14, 2023

Investments in artificial intelligence are helping businesses to reduce costs, better serve customers, and gain competitive advantage in rapidly evolving markets. AI is the perception, synthesis, and inference of information by machines, to accomplish tasks that historically have required human intelligence.

Artificial Inteligence 290

Artificial Inteligence Strategy Data Machine Learning 290

DataRobot

MARCH 10, 2022

This “revolution” stems from breakthrough advancements in artificial intelligence, robotics, and the Internet of Things (IoT). With Snowflake and DataRobot, organizations can capture this data and rapidly develop artificially intelligent applications that immediately impact the bottom line. Factory Monitoring?—?

Artificial Inteligence 52

Artificial Inteligence Artificial Intelligence Machine Learning IoT 52

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. Second, be equipped with tons of learning agility and genuine curiosity to learn. Smart manufacturing at scale.

Artificial Inteligence 363

Artificial Inteligence Azure IoT Analytics 363

iTexico

OCTOBER 11, 2019

10 Trends of Artificial Intelligence (AI) in 2020. Artificial Intelligence (AI) has been predictable for decades, probably because the technology was associated with robots. The Convergence of Blockchain, IoT, and AI. For instance, self-driven vehicles might not make much sense without IoT working with AI.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Trends Machine Learning 67

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. OTS Solutions possess 20+ years of experience in building enterprise software development.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

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

AWS Machine Learning - AI

APRIL 11, 2024

AWS was delighted to present to and connect with over 18,000 in-person and 267,000 virtual attendees at NVIDIA GTC, a global artificial intelligence (AI) conference that took place March 2024 in San Jose, California, returning to a hybrid, in-person experience for the first time since 2019. Campaign Manager in Americas Field Marketing.

Generative AI 96

Generative AI Artificial Inteligence AWS Innovation 96

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

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. OTS Solutions possess 20+ years of experience in building enterprise software development.

DevOps 130

DevOps Engineering Artificial Inteligence Software Review 130

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. That points to resourcefulness, and artificial intelligence technology with multipurpose potential at the end of the day.

VR 220

VR Video Technology Artificial Inteligence 220

InfoBest

JANUARY 25, 2024

From the promising ascent of Artificial Intelligence to the rapid growth of DevSecOps, the software development arena is undergoing transformative shifts. Flexibility, scalability, and cost-efficiency are at the forefront. Unveiling the Advantages Why the emphasis on cloud solutions? The advantages are multifaceted.

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

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

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 358

Artificial Inteligence Generative AI Software Review Development Team Review 358

TechCrunch

FEBRUARY 18, 2022

– Artificial intelligence-powered remote patient monitoring wearable technology. ByondXR – Provides retail 3D virtual experiences that are fast, scalable and in line with the latest metaverse technologies. Selfit – Digital robotic care focusing on the aging population, physical and cognitive health. TRIPP, Inc.

3D 221

3D Artificial Inteligence VR Programming 221

Invid Group

FEBRUARY 28, 2023

Artificial intelligence and machine learning Software development is already evolving due to artificial intelligence (AI) and machine learning (ML), and this trend is expected to continue. The rising popularity of cloud-based services and IoT devices drive the demand for security solutions.

Software Review 52

Software Review Software Development Trends Artificial Inteligence 52

Mobilunity

SEPTEMBER 29, 2023

Cloud Solutions: Offering cloud-native application development, integration, and migration services to leverage the scalability and efficiency of the cloud. Artificial Intelligence & Machine Learning: Integrating AI and ML capabilities into applications, enhancing their functionality and enabling smart decision-making.

UI/UX 52

UI/UX Software Development Artificial Inteligence Software 52

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 77

Software Development Software Artificial Inteligence Development 77

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.

Trends 52

Trends Innovation Cloud Serverless 52

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

CIO

AUGUST 9, 2023

And it continues at a rapid clip post-pandemic as artificial intelligence and immersive web technologies bring promises of new opportunities and disruptions. Now, in 2023, companies are using analytics and intelligence capabilities as well as IoT and edge computing.

Technical Review 344

Technical Review Software Review Artificial Inteligence Survey 344

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

Gorilla Logic

MAY 19, 2021

Monetize data with technologies such as artificial intelligence (AI), machine learning (ML), blockchain, advanced data analytics , and more. Create value from the Internet of Things (IoT) and connected enterprise. Some of the most common include cloud, IoT, big data, AI/ML, mobile, and more.

Software Review 94

Software Review Technical Review Software Development Team Review 94

Palo Alto Networks

MAY 18, 2023

Manufacturers and OT businesses are integrating network-connected Internet of Things (IoT), cloud edge computing, analytics, artificial intelligence (AI) and machine learning (ML) into their production facilities and operations. The evolution of cyber-physical systems as part of Industry 4.0

Network 44

Network Artificial Inteligence IoT Artificial Intelligence 44

Openxcell

MARCH 15, 2023

Treinetic Integrating artificial intelligence into software is one of the major trends in software development. Scalability – How well an application handles large or small numbers of transactions, services, and data. Analytics Insight, Gartner 40% of software developers use React.js as their main web framework.

Software Development 52

Software Development Software Review Trends Software 52

Openxcell

MARCH 15, 2019

IoT (Internet of Things) Creating Buzz Globally. IoT has become a noteworthy part of our life not only as an individual but as a whole society. Smart TV, Smart Refrigerator, Smart City, everything has become smart, and the credit for that goes to IoT technology. Video Source: theverge.com ).

Mobile 80

Mobile Trends Artificial Inteligence Blockchain 80

Perficient

MAY 23, 2023

Real-time data analytics and machine learning algorithms allow manufacturers to monitor and optimize operations, enabling predictive maintenance, minimizing downtime, and improving overall productivity. The streaming is handled via a scalable Kubernetes cluster hosted in AWS with an Apigee API Management layer.

Technology 59

Technology Artificial Inteligence IoT Azure 59

Xicom

JANUARY 4, 2023

Top 10 Android app development trends 1) Artificial Intelligence 2) 5G Technology 3) Blockchain Technology 4) Augmented Reality and Virtual Reality 5) Internet of Things & Cloud 6) CyberSecurity 7) Wearables applications 8) Chatbots 9) Cross-platform development 10) Big Data Conclusion FAQs. 1) Artificial Intelligence.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

d2iq

JUNE 13, 2022

Also at the top of the list was the need to capture, transform, and deliver AI at scale, as well as the need to innovate with edge and IoT technologies. The move to smart cloud-native is being aided by Kubeflow, the chief open-source platform dedicated to making deployments of AI/ML workflows on Kubernetes simple, portable, and scalable.

Enterprise 81

Enterprise Cloud Artificial Inteligence Open Source 81

d2iq

MARCH 13, 2023

Reinventing Retail as Entertainment Retailers are creating experiential shopping experiences using a host of leading-edge technologies, including AI, augmented reality, virtual reality, edge/IoT, streaming video, mobile apps, touchscreens, giant displays, robotics, 5G networks, holograms, and 3-D printing.

Retail 72

Retail Artificial Inteligence Virtualization Artificial Intelligence 72

Trigent

JULY 9, 2021

With logistics automation, IoT-enabled connected devices, and tech-driven logistics services coming into play, it’s safe to assume we are in for some significant changes in the industry. Artificial Intelligence (AI) and Machine Learning (ML). Internet of Things (IoT).

Trends 52

Trends Industry IoT Blockchain 52

Cloudera

MARCH 27, 2019

In today’s digitally connected enterprises, data originates from the edge, streams into the data center, lands in an Enterprise Data Cloud for downstream processing including Machine Learning and then serves back to the edge for real-time prediction and action. CEM is made of two components – MiNiFi and Edge Flow Manager.

Artificial Inteligence 71

Artificial Inteligence IoT Machine Learning DevOps 71

Palo Alto Networks

SEPTEMBER 16, 2021

The number of mobile endpoints are exploding due to more IoT devices and a distributed workforce. Meanwhile, learned habits are not serving us well. Apply Automation and Artificial Intelligence: Improve identification of anomalies, inhibiting distributed denial of service (DDOS) attacks.

Firewall 80

Firewall IoT Artificial Inteligence Software Review 80

AWS Machine Learning - AI

FEBRUARY 6, 2024

She comes with 18+ years of experience in architecting Scalable AI and GenAI solutions. He has earned the title of one of the Youngest Indian Master Inventors with over 500 patents in the AI/ML and IoT domains. Richa Gupta is a Technology Architect at Accenture, leading various AI projects.

Generative AI 100

Generative AI AWS Lambda Technical Review 100