Datavail

APRIL 28, 2020

Since the term ‘ Internet of Things ‘ (IoT) was first coined in 1997, the global enthusiasm for its possible uses has exploded. Businesses and industries now rely on IoT-powered supply chains to track every widget from design to ultimate installation, and the data lakes it has generated are immense and growing.

VR 52

VR Data IoT Artificial Inteligence 52

Openxcell

NOVEMBER 27, 2023

Some of the up-and-coming trends are : Artificial Intelligence (AI) & Machine Learning (ML) Big data, virtual reality, artificial intelligence, machine learning, and chatbots for pharmaceutical firms are no longer futuristic concepts but rather an integral part of our reality.

Development 52

Development Healthcare Artificial Inteligence VR 52

OTS Solutions

MAY 2, 2023

Artificial intelligence and machine learning: Artificial and machine learning are critical technologies in digital transformation. With AI (Artificial Intelligence) and ML (Machine Learning), businesses can optimize productivity, reduce costs, and deliver personalized customer experiences.

Artificial Inteligence 130

Artificial Inteligence Artificial Intelligence Machine Learning Blockchain 130

UruIT

JUNE 30, 2021

On a larger scale, big data analytics in healthcare has potential to help prevent epidemics and figure out how to cure diseases. . Virtual Reality (VR). The new field of medical VR is already fascinating clinical researchers and real-life medical professionals. . Wearable Technology and IoT. Photo: Unsplash.

Healthcare 52

Healthcare Artificial Inteligence Trends Industry 52

Xicom

JANUARY 4, 2023

Augmented Reality (AR) and Virtual Reality (VR) are two of the most exciting developments in mobile app development. AR and VR technologies allow users to interact with digital content in a more engaging way than ever before. The Internet of Things (IoT) has been a major trend in recent years and will continue to dominate in 2023.

Trends 59

Trends Artificial Inteligence Development Artificial Intelligence 59

Openxcell

MARCH 15, 2023

Analytics Insight, Gartner 40% of software developers use React.js Among the newest AI software innovations are advancing Machine Learning, Conversational AI, and Computer Vision AI, which enable converged business and IT process optimizations, predictions & recommendations, and transformative employee and customer experiences.

Software Development 52

Software Development Software Review Trends Software 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

Capgemini

APRIL 21, 2020

AI, RPA, machine learning, chatbots, analytics, IoT software and hardware, virtual reality, SaaS and PaaS, blockchain, new cybersecurity methods and tactics, enterprise social software, the list goes on and on.

Technical Review 52

Technical Review Innovation Software Review Development Team Review 52

Xicom

JANUARY 9, 2023

11) Latest technology integration (AR/VR, IoT, AI, etc.). With this in mind, hiring an iOS app developer who is well versed in the latest technologies such as augmented reality (AR), virtual reality (VR), Internet of Things (IoT), and artificial intelligence (AI) can help you stay ahead of the competition.

Technical Review 52

Technical Review Development Software Review Systems Review 52

Coforge

JULY 19, 2019

Consumers are now eager to engage with their favorite brands via near-ubiquitous channels like IoT and social media; this implies a massive opportunity waiting to be leveraged. Now, Sitecore is ready to usher in a new age of customer interactions based on machine learning and “no compromise headless” interactions. Sitecore XP 9.0

Technical Review 53

Technical Review Machine Learning Artificial Inteligence VR 53

Hacker Earth

MARCH 29, 2018

So, companies must adopt emerging technologies such as AI, the blockchain, mobile technology, and analytics, which are successful enablers of better business outcomes. IoT devices, sensors, and telematics have been fast gaining adoption in the insurance sector. Big Data and Predictive Analytics in insurance. Blockchain.

Insurance 48

Insurance Industry Technology Artificial Inteligence 48

CIO

AUGUST 16, 2022

Elaborating on some points from my previous post on building innovation ecosystems, here’s a look at how digital twins , which serve as a bridge between the physical and digital domains, rely on historical and real-time data, as well as machine learning models, to provide a virtual representation of physical objects, processes, and systems.

Infrastructure 363

Infrastructure Industry 3D VR 363

Apiumhub

JANUARY 30, 2019

Big Data analytics. Experts in data analytics can take that information and uncover the actionable insights businesses are missing. As more companies now rely on data to inform their business decisions, the demand for data analytics roles in ecommerce services has exploded. Machine Learning for Automation.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

Openxcell

DECEMBER 12, 2023

To achieve this goal, software development companies implement digital tools like cloud computing services, Machine Learning, AI, Analytics Software, Mobile Applications, and many more. This includes predictive analytics, which is a potent solution to interpret future trends more accurately.

Retail 52

Retail Trends VR Artificial Inteligence 52

Mobilunity

JUNE 5, 2023

Data Analytics: Analyze data to improve traffic flow and provide personalized services. They include designing and implementing connectivity protocols, developing vehicle-to-vehicle (V2V) and vehicle-to-infrastructure (V2I) communication systems, and integrating data analytics for intelligent transportation systems.

Automotive 52

Automotive Software Development Software Artificial Inteligence 52

Xicom

MAY 17, 2022

AR & VR. In 2022, virtual reality (VR) and augmented reality (AR) began moving from hype cycle to everyday technology. Hardware costs dropped dramatically, opening up VR/AR apps and games to a wider audience. AR and VR are still very much emerging technologies, but they have potential. Predictive Analytics.

Mobile 98

Mobile Trends Development VR 98

d2iq

JANUARY 23, 2023

We have entered the next phase of the digital revolution in which the data center has stretched to the edge of the network and where myriad Internet of Things (IoT) devices gather and process data with the aid of artificial intelligence (AI).As Hyperconnected networks , says PwC, are pushing closer and closer to ubiquitous connectivity.

Artificial Inteligence 69

Artificial Inteligence Artificial Intelligence IoT Data Center 69

Openxcell

MARCH 22, 2023

The healthcare industry gains a lot from integrating cutting-edge technology like AI, Big Data, and IoT. Technology such as Big Data, IoT, Web 3.0, AR/VR, and PaaS/SaaS contribute to digital transformation. Many innovative VR and AR applications for healthcare will be introduced this year and in the years to come.

Healthcare 52

Healthcare Trends Technical Review VR 52

Xicom

DECEMBER 20, 2022

It is used to store and sync data in real-time, manage user authentication and analytics and much more. Artificial Intelligence (AI) and Machine Learning (ML): AI and ML are increasingly being incorporated into Android apps, providing them with powerful capabilities such as natural language processing and facial recognition.

Company 59

Company Development Quality Assurance Technical Review 59

Hacker Earth Developers Blog

SEPTEMBER 25, 2019

Some commonly used technologies include Machine Learning, Blockchain, IoT, AR/VR, etc and these have been used to solve problems on customer data management, identity management, and asset trading via hackathons. Machine Learning hackathons. Blockchain hackathons.

Blockchain 75

Blockchain Technical Review Technical Advisors Software Review 75

Hacker Earth Developers Blog

SEPTEMBER 25, 2019

Some commonly used technologies include Machine Learning, Blockchain, IoT, AR/VR, etc and these have been used to solve problems on customer data management, identity management, and asset trading via hackathons. Machine Learning hackathons. Blockchain hackathons.

Blockchain 30

Blockchain Technical Review Technical Advisors Software Review 30

Cloudera

JULY 20, 2021

Once companies are able to leverage their data they’re then able to fuel machine learning and analytics models, transforming their business by embedding AI into every aspect of their business. . Thousands of our customers across all industries are harnessing the power of their data in order to drive insights and innovation.

Retail 102

Retail Telecommunications Chemicals Airlines 102

Datica

JUNE 17, 2019

Prior to starting Purple Pivot, she was the Executive Director of Analytics and Innovation at Stamford Health in Connecticut where she led the analytics strategy and internal consulting for the organization. She has an extensive background in Blockchain, IOT, systems design, and mixed reality systems. Divya Malhotra.

Healthcare 40

Healthcare Blockchain Technical Review Systems Review 40