iTexico

OCTOBER 11, 2019

Over the last few years, we have seen an exponential upthrust in the number of platforms, applications, and tools based on machine learning and AI technologies. Scientists and developers have designed intelligent machines that can simulate reasoning and develop knowledge, moving closer to mimicking how humans work. Biased Data.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Trends Machine Learning 67

Xicom

MAY 15, 2019

When we look at the top app development trends 2019 then we find IoT or Internet of Things to be at the top as this connected device industry is booming right now. But the important things to note here is that all of these IoT devices are controlled and managed by using mobile apps installed on smartphones. Internet of Things.

Mobile 74

Mobile Trends Applications Development 74

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. Blockchain Technology Is Fueling Businesses Worldwide.

Mobile 40

Mobile Trends Artificial Inteligence Blockchain 40

OTS Solutions

SEPTEMBER 27, 2018

For example, big-box retailers now capitalize on automation to ship and sort products while credit card companies detect fraud through automation. Innovators are increasingly looking for ways companies can build a system that allows them to contribute to their machine-learning models and train automation. Driverless Vehicles.

Artificial Inteligence 100

Artificial Inteligence Technology Artificial Intelligence Mobile 100

Xicom

APRIL 10, 2019

Artificial Intelligence (AI) And Machine Learning (ML). Machine Learning (ML) is another branch of AI which is also making big progress and it is allowing developers to utilize and mine the enormous user data to build more personalized mobile applications. IoT Based Smart Apps.

Mobile 58

Mobile Trends Artificial Inteligence Development 58

Openxcell

DECEMBER 12, 2023

The paradigm transition it brings to the retail landscape is evident from the latest predictions. The market size for retail digital transformation is forecast to reach USD 711.61 These estimates are key indicators that digital transformation in retail is all set to bring a big picture up front. billion by 2023. billion by 2028.

Retail 52

Retail Trends VR Artificial Inteligence 52

RapidValue

AUGUST 11, 2019

There is a huge scope of innovation with IoT (Internet of Things), Machine Learning (ML) and intelligent robots. RPA (Robotic Process Automation) is receiving wide acceptance in the retail sector. RPA is the process of using software with Artificial Intelligence (AI) and Machine Learning capabilities.

Artificial Inteligence 32

Artificial Inteligence IoT Retail Agile 32

Apiumhub

JANUARY 30, 2019

Machine Learning for Automation. Machine-learning intelligence intended to make life easier for humans through automation, streamline updates for operational efficiency, and improve day-to-day functions by saving time and reducing human error and impediment. Machine learning can be used to increase conversion rates.

eCommerce 42

eCommerce Artificial Inteligence Artificial Intelligence Machine Learning 42

The Crazy Programmer

DECEMBER 20, 2019

is the blockchain of food that uses the Internet of Things (IoT) and Blockchain technology in the food supply chain. The software provides services including tracking and visibility of supply chain, aggregation and sharing of secure data, trust verification, and brand quality; IoT integration; sensors; and scalable blockchain.

Technical Review 46

Technical Review Blockchain Software Review IoT 46

Altexsoft

MAY 20, 2020

For the most part, they belong to the Internet of Things (IoT), or gadgets capable of communicating and sharing data without human interaction. The number of active IoT connections is expected to double by 2025, jumping from the current 9.9 The number of active IoT connections is expected to double by 2025, jumping from the current 9.9

IoT 141

IoT Azure AWS Transportation 141

Mobilunity

MAY 20, 2021

There are 175 different services available, and it also incorporates AI, machine learning, and 5G. The system is known for great data analysis tools, AI, machine learning, scalability, existing third-party services, and pre-made solutions. It is secure and credible, with machine learning and data science.

Engineering 52

Engineering Cloud Google Cloud Azure 52

Apiumhub

JULY 5, 2018

Look at retail and pharma industries. Right now, machine learning is an integral component of eBay’s business strategy. Fashion retailer ASOS continues investing in AI and voice recognition systems to influence buyer behavior. Unfortunately, fake reviews became an issue for online retailers and e-commerce shops.

Artificial Inteligence 67

Artificial Inteligence Artificial Intelligence Case Study eCommerce 67

Altexsoft

SEPTEMBER 23, 2020

You don’t see it screaming at you from headlines, startups are not using it on the landing pages, and it’s slowly climbing up Garner’s Hype Cycle for Healthcare Providers , overpassed by medical IoT, Blockchain, and analytics. There have been advances in developing machine learning algorithms for diagnostics.

Healthcare 64

Healthcare Analytics Technical Review Software Review 64

Coforge

AUGUST 9, 2019

Travel companies will need to embrace Digital Commerce, Artificial Intelligence/ Machine Learning, Predictive Analytics, IoT, and Intelligent Automation for a smooth transition. Has the Travel industry embraced the ‘retail’ model and have airlines become good ‘retailers’ now? Billion in 2007.

Transportation 8

Transportation Travel Airlines Technology 8

Apiumhub

SEPTEMBER 18, 2019

Despite its traditional image, agriculture is adopting new technological innovations and leveraging the cloud, big data, and the Internet of Things (IoT) solutions to increase productivity while protecting our environment. IoT-based sensor networks. Retail and food services. Blockchain for cross-border trading.

Innovation 15

Innovation Artificial Inteligence Artificial Intelligence IoT 15

Xicom

MAY 17, 2022

As with other big trends, you can expect these developments to affect various industries and niches differently—marketing, retail, and healthcare apps will likely have an easier time integrating AI than educational or gaming apps. There are plenty of apps that we can use now that make use of technology like AI and Machine Learning.

Mobile 98

Mobile Trends Development VR 98

Xicom

JANUARY 23, 2020

AI and Machine Learning. Whereas ML (Machine Learning) creates user-friendly mobile platforms, improves customer experience, maintaining customer loyalty and uniform experiences. IoT (Internet of Things) is a network of interconnected smart gadgets. Many business firms are shifting into IoT app development.

Mobile 64

Mobile Trends Development Artificial Inteligence 64

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. University 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. University hackathons.

Blockchain 30

Blockchain Technical Review Technical Advisors Software Review 30

Confluent

OCTOBER 10, 2019

The Internet of Things (IoT) is getting more and more traction as valuable use cases come to light. A key challenge, however, is integrating devices and machines to process the data in real time and at scale. Confluent MQTT Proxy , which ingests data from IoT devices without needing a MQTT broker. Example: E.ON.

IoT 20

IoT Internet Weak Development Team Scalability 20

Altexsoft

DECEMBER 16, 2019

IoT technologies. Internet of Things or IoT technologies is the term used for devices and software attached to different items to receive and send data. Blockchain. Blockchain has been a buzzword for the last several years and is often associated with cryptocurrency. Here are some of its key trends.

Transportation 19

Transportation IoT Blockchain Retail 19

Apiumhub

AUGUST 6, 2018

I think most of you have noticed, that e-commerce, m-commerce and retail industry have changed drastically in recent years and young, tech-savvy shoppers are demanding smarter shopping experience where the journey from the discovery of a product to check-out is as short as possible. Visual search statistics. Tommy Hilfiger.

Case Study 49

Case Study Study Technical Review Fashion 49

Altexsoft

SEPTEMBER 25, 2020

It enables patients to store their medical data on the blockchain-based platform, easily access it via a mobile app, and share records with their doctors, caregivers, or family members. Brightree offers tools for billing management, ePrescribing, inventory management, documentation, retail, and sleep therapy.

Healthcare 85

Healthcare Technical Review Software Review Systems Review 85

OTS Solutions

OCTOBER 10, 2023

It encompasses technologies such as the Internet of Things (IoT), artificial intelligence (AI), cloud computing , and big data analytics & insights to optimize the entire production process. include the Internet of Things (IoT) solutions , Big Data Analytics, Artificial Intelligence (AI), and Cyber-Physical Systems (CPS).

Artificial Inteligence 147

Artificial Inteligence Mobile Industry Cloud 147

Agile Engine

DECEMBER 27, 2023

Key takeaways Any organization that operates online and collects data can benefit from a data analytics consultancy, from blockchain and IoT, to healthcare and financial services The market for data analytics globally was valued at $112.8 Case study: leveraging AgileEngine as a data solutions vendor 11. Conclusion 1.

Big Data 52

Big Data Analytics Data Analysis 52