The connectivity benefits of 5G are expected to make businesses more competitive and give consumers access to more information faster than ever before. Connected cars, smart communities, industrial IoT, healthcare, immersive education--they all will rely on unprecedented opportunities that 5G technology will create. The enterprise market opportunity is driving many telecoms operators' strategies for, and investments in, 5G. Companies are accelerating investment in core and emerging technologies such as cloud, internet of things, robotic process automation, artificial intelligence and machine learning. IoT (Internet of Things), as an example, improving connectivity and data sharing between devices, enabling biometric based transactions; with blockchain, enabling use cases, trade transactions, remittances, payments and investments; and with deep learning and artificial intelligence, utilization of advanced algorithms for high personalization.
The surging number of applications being deployed on the cloud in several industries, rapid improvements being made in the internet of things (IoT) domain, advancements in numerous smart applications, and growing popularity of AI software are the major factors driving the expansion of the global edge AI software market. Due to these factors, the market generated $600 million revenue in 2020, and it is expected to exhibit huge expansion during 2021–2030, according to P&S Intelligence. The imposition of lockdowns in several countries to mitigate the spread of the COVID-19 infection negatively impacted the operations of many businesses, but positively impacted the growth of the edge AI software market. The COVID-19 pandemic has facilitated the progress of the medical services sector, with many organizations making huge investments in edge AI software to increase its applications in this sector. Moreover, with the increasing digitalization rate in the medical care and training sectors, the demand for edge AI software is rising sharply.
With the rapid development of mobile devices, speech-related technology is booming like never before. Many service providers like Google offer the ability to search through the voice on the android platform. For android mobile phones, 'Ok Google' uses this functionality to search a particular keyword to initiate the voice-based commands. Keyword recognition refers to speech technology that recognizes the existence of a word or short phrase within a given stream of audio. It is synonymously referred to as keyword spotting.
When it comes to the mobile app industry, businesses of all sizes and specialisations confront strong competition. This position compels them to keep up with all developing digital developments in order to maintain their worth. Recognizing the huge influence of artificial intelligence on business, top firms such as Amazon, eBay, and Tinder make extensive use of AI in their applications to generate tailored mobile user experiences and improve profitability. Start-ups also raise more investment for AI integrations, propelling them to high marketability and competitiveness. Annually, more AI apps go viral, bringing greater exposure and revenues to their owners.
It is reported that 85% of internet users watch online video content on any of their devices in the United States. This means, there are more possibilities for watching online video content than ever before. At the same time, videos are still one of the most impactful ways to communicate your message and engage more audiences around the world. As marketers deploy their own unique video content creation and marketing strategies to tailor their brand and to boost ROI, the world of online video is progressing and changing all the time. In this article, we are going to highlight some of the most recent advancement with online video content creation and three of the best tips to help you to make better videos and content.
If the power of logical reasoning is able to optimize the resources needed to reach quality AI solutions in a nonconventional way, then the AI industry should prepare for a major upcoming change. It is a change that is built on creativity; regardless of application titles or goals, no two applications will have the same results. Companies strive to transform their ideas into working plans to achieve their tactical goals. They do have highly specialized teams to make this happen, but not many companies in the AI realm have the strategic view of what may soon emerge in the industry. Having a highly specialized crew is indeed crucial to achieve tactical objectives.
Traditionally, African lenders use credit bureau scores, assessing, for instance, if a customer has a history of missed credit card payments. When no history exists, they evaluate social demographics: is the customer female – in which case they are likelier to repay – do they work in a stable job market and can they prove a regular income? But this can put those who are unbanked or informally employed at a disadvantage. Michele Tucci, chief product officer at fintech company Credolab said: "African lenders lack data to make good credit decisions and social demographic data can bring you only so far." He estimates that African lenders cannot obtain credit bureau scores for 70% of customers and simply reject them.
The maker of our favorite budget-priced color A19 smart bulb is back with a slew of new smart lights, including this Edison-style ST19 filament bulb. Priced at a reasonable $13 (or $75 for a six-pack), the tunable white Cree Lighting Connected Max ST19 boasts easy setup; connects directly to Wi-Fi networks; supports Alexa, Google Assistant, and SmartThings; and packs an impressive arsenal of automation tools. But the quirky Cree app can be confusing to use (why must you group lights that are already in a room?), and the ST19's lowest brightness setting is still a bit bright for our taste. Cree Lighting offers a wide range of bulbs in its Connected Max line, including a color A19 bulb that's our current Editors' Choice for budget-priced smart bulbs. Back in May, Cree unveiled a series of new Connected Max products, including this ST19 filament bulb.
In January, 2021, retail investors - Robinhood army - came together on Reddit's Wall Street Bets group and other social media outlets to take down prominent hedge funds by causing a short squeeze and pushing up GameStop's stock price by 400% in just one week¹. This amount of volatility is not normal, the retail investors were urged on by the Reddit group to punish hedge funds that had taken an outsized short bet against GameStop. Tracking market sentiment can be a powerful tool for investors because understanding the mood of where the market is going can allow one to capitalize from the changing direction. Combining market sentiment with market fundamental will result in more sound investments. I was fascinated by the showdown between Wall Street and Reddit and inspired to understand how machine learning (ML) can be used to track market sentiment.
You are free to share this article under the Attribution 4.0 International license. The main problem: There is a huge difference between evaluating more traditional AI tasks, like recognizing spoken language, and the much messier task of identifying hate speech, harassment, or misinformation--especially in today's polarized environment. "It appears as if the models are getting almost perfect scores, so some people think they can use them as a sort of black box to test for toxicity," says Mitchell Gordon, a PhD candidate in computer science at Stanford University who worked on the project. They're evaluating these models with approaches that work well when the answers are fairly clear, like recognizing whether'java' means coffee or the computer language, but these are tasks where the answers are not clear." Facebook says its artificial intelligence models identified and pulled down 27 million pieces of hate speech in the final three months of 2020.