The home healthcare market is changing rapidly as innovators provide numerous smart technologies that make users’ lives safer and more convenient. ABI Research’s recent Smart Home Healthcare market data report unveiled the greatest product and service opportunities. Understanding where the home healthcare market currently is and where it is headed will give solution providers the strategic intelligence needed for developing an optimal roadmap.
In 2019, Apple announced its decision to invest $1 billion to purchase most of Intel’s modem development unit.
The steel industry dates back to the 19th century and played a central role in the Industrial Revolution, which paved the way for the modern world. Steel continues to be a dominant iron alloy as it it’s used in construction, manufacturing, mechanical engineering, and other verticals. But steel production is both environmentally harmful and dangerous to workers. To address these two conundrums, steel producers must invest in digital transformation.
Today, mobile robots serve as a pillar of the digitization of manufacturing and logistics. As no surprise, Automated Guided Vehicles (AGVs) are at the forefront of modernizing manufacturing and logistics, as they save companies time and money while being highly precise with handling containers, pallets, materials, components, and other important assets. Not to mention, AGVs, like exoskeletons, significantly decrease the risk of workplace injuries.
Very rarely does a technology come along that makes engineers completely rethink product development. Generative design is one such innovation and it is propelling the manufacturing industry into an entirely new realm. Combined with Augmented Reality (AR), the possibilities are limitless.
The modern manufacturer has a plethora of advanced technology options to choose from. Industrial and manufacturing firms are investing in digital technologies both due to and despite headwinds in their respective operating environments, such as tariffs, shortages of raw materials or components, regulatory compliance, skills shortages, and competitive pressures. Digital transformation spend across the 10 markets we studied is forecast to grow by a 14.1% Compound Annual Growth Rate (CAGR) and reach US$382 billion in 2030.
Investors and shareholders are increasingly losing their patience with telcos, which have promised that their enterprise revenue will soon overtake their consumer business. At the same time, enterprise end users are not yet convinced that today’s 5G can address their pressing key pain points in line with the IMT-2020 vision most 5G suppliers are preaching.
Augmented Reality (AR) has an important role to play in the modern and future workplace—remote assistance, training, workflow guidance, and knowledge capture can all be realized with AR deployment. However, integrating AR into existing platforms has proven to be a formidable challenge to early adopters because of the complexity of Information Technology (IT) and Operational Technology (OT) cohesion. Ultimately, Return on Investment (ROI) from AR technologies will be heavily dependent on how seamless the integration process is.
Machine Learning (ML) is increasingly being integrated into edge computing solutions. ML at the edge improves the user experience via latency reduction, near-real-time data analysis, privacy, and security. Vendors are stepping up to the plate to provide services and platforms that streamline processes and reduce the time to market. In this post, you'll read about five examples of edge ML to better conceptualize this helpful combination.
According to ABI Research forecasts, the total installed base of devices with Artificial Intelligence will grow from 2.7 billion in 2019 to 4.5 billion in 2024. Billions of petabytes of data flow through AI devices every day. However, right now, most of these AI devices are working independently of one another. Yet, as the volume of data flowing through these devices increases in the coming years, technology companies and implementers will take advantage of multimodal learning – and it is fast becoming one of the most exciting and potentially transformative fields of AI.