Enlume

FEBRUARY 15, 2018

Integration of Artificial Intelligence (AI) in apps, Internet of Things (IoT), growing popularity of Location-based services (LBS) and Instant Apps are some of the important trends observed in 2016. Many of these trends are set to continue in 2017 along with emergence of some new trends. Trend #1: IoT.

Mobile 40

Mobile Trends VR Development 40

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, annual growth rate between 2017 and 2025. It is also known as the Internet of Things (IoT) development in healthcare.

Healthcare 52

Healthcare Trends Technical Review VR 52

Xicom

JANUARY 23, 2020

And that is an overall 45 percent increase from 178 billion downloads in the year 2017. AI and Machine Learning. AI(Artificial Intelligence) is instigating different mobile app possibilities. IoT (Internet of Things) is a network of interconnected smart gadgets. AI can be embedded using chatbots or sensors.

Mobile 64

Mobile Trends Development Artificial Inteligence 64

Agile Engine

SEPTEMBER 4, 2018

billion in 2017. In 2017, Stack Overflow named iOS and Android development among the top-3 high-demand skills. A Firebase SDK for machine learning, ML Kit brings image, text, speech, landmark, and face recognition to mobile. With instant apps growing in prominence, Google also places a heavy focus on AI/ML, IoT, and AR.

Mobile 53

Mobile Trends Technical Review Development 53

Apiumhub

AUGUST 2, 2018

CB Insights calculated that between 2011 and 2017, venture capital firms had invested $9 billion in PropTech companies. Smart Homes & IoT. IoT takes care of routine maintenance tasks, detecting malfunctions and defects before they become an inconvenience. What to expect? Proptech predictions.

Real Estate 51

Real Estate Technical Review IoT VR 51

Apiumhub

JANUARY 8, 2019

Year 2017, at KFC in Hangzhou, China, a customer comes to buy food, look at the camera and in order to pay just smiles and walk away happy with the order. Then comes the approach of Depth, using technologies like 2D or 3D model, systems are more clear about the symmetry and distinguish the characteristics from a flat and static image.

System 63

System Authentication Banking 3D 63

Apiumhub

AUGUST 6, 2018

For example, Asos reports that in 2017 70% of their UK orders came from mobile devices. Using cameras of their devices, customers could take photos of objects, such as clothes on the fashion models who participated in the show, images on billboards, pop-ups, and the like, literally “on the go”. IOT projects that may change the world.

Case Study 49

Case Study Study Technical Review Fashion 49