Businesses are always looking to optimize and streamline services to cut costs. The coronavirus pandemic and the resulting economic calamity caused by it have put even more pressure on enterprises to innovate and do more with less. Andy Watson, senior vice president for Asia, Pacific, Japan, and Greater China at SAP Concur, says many organizations will turn to automation and AI in 2021 as a way to address key business pain points and simplify cumbersome processes. "Automation will become essential, not extra. As businesses maintain hybrid remote-working models and anticipate other potential disruptions in 2021 and beyond, the role of automation and AI use cases in the workplace will grow," Watson said in an email interview. "These may include enabling efficient day-to-day communications between knowledge workers doing their jobs from home and automating invoicing and expenses to keep valued partners paid and to preserve budgets."
To help boost women empowerment in the new normal, PLDT wireless unit Smart Communications, Inc. (Smart) has partnered with social impact start-up Connected Women for technology upskilling and livelihood opportunities for women across the Philippines. With the goal of training over a thousand women by 2021, Connected Women's Elevate AIDA (Artificial Intelligence Data Annotation) program offers online skills development and remote work opportunities in the artificial intelligence industry. Backed by UN Women, the 75,000 member-strong organization launched ConnectedWomen.ai to provide a talent pool for businesses worldwide while creating an impact for Filipino women and their families. Smart will support Connected Women's upskilling initiatives that include data labeling, remote work, professional communication, and computer skills, which are all scalable in the digital remote workspace. Participants will also benefit from career coaching, developing critical thinking and problem-solving skills and mentoring.
The COVID-19 pandemic has upended our lives and compelled governments, businesses and individuals to re-examine the ways of the past and reimagine the future. For India, the pandemic has also laid bare the several gaps in India's healthcare system and underscored the urgent need to improve health outcomes in the country. Digitization will play an integral role in plugging the prevailing gaps in India's healthcare ecosystem. In 2015, the government of India (GoI) launched the'Digital India' campaign with an aim to transform India into a leading economy of the future. In the last half a decade, the country has become the second-fastest digital adopter in the world--India has almost half a billion Internet users and more than 350 million smartphone users consuming 8.3 GB of data per month per subscriber.
Let us consider a store that generates Customer Invoices and those Invoices come to an integrated platform in a real-time fashion to inform the customer how much "Edge Reward" points they have earned on their shopping. Invoices from various stores across the City New Delhi travel to Kafka Topic in a real-time fashion and based on total shopping amount, our Kafka consumer calculates the Edge Points and sends a notification message to the customer. Invoice Data is generated in JSON format. For the ease of understanding, I have not created a nested dataset. The "Output" is defined as what gets written out to the external storage.
ARTIFICIAL intelligence (AI) is a powerful workforce multiplier that is changing the business landscape. From virtual medical assistance to data analytics, AI enhances productivity and frees up time for tasks that require human insight, by augmenting and automating routine activities. The Covid-19 pandemic has increased the impetus to innovate and digitalise. This is a crucial factor in the proliferation of AI adoption by companies, as they accommodate remote work arrangements and revamp processes. Technology has become a cornerstone in the new normal.
SINGAPORE - Businesses in Singapore are set to benefit from free health screenings to spot weaknesses in their Web domain, e-mail system and connectivity. This freely provided diagnostic is part of the newly unveiled Safer Cyberspace Masterplan 2020 that aims to protect Singapore's digital sphere. The national plan also outlines the use of artificial intelligence (AI) to sniff out security threats in key infrastructure, including broadband and 5G networks, and consumer devices such as webcams and Wi-Fi routers. Coordinated by the Cyber Security Agency (CSA) of Singapore, the masterplan is central to Singapore's plans to lead in AI and smart nation deployments globally, and comes amid rapid digitalisation in recent months. "The pandemic accelerated the pace of change... Telecommuting, video calls, e-learning, online shopping, and digital payment surged," said Deputy Prime Minister Heng Swee Keat in unveiling the masterplan on Tuesday (Oct 6).
Do you believe that artificial intelligence (AI) is powerful and smart enough to take over the majority of jobs in the future? Should people start rethinking their career choices and choose jobs that are the least likely to become obsolete thanks to automation? According to Sinovations Ventures' Dr. Kai-Fu Lee, predicting the future of tech in China, robots are likely to replace 50 percent of all jobs in the next 10 years. The influential technologist has 50 million followers on Chinese social networks. He recently told CNBC that AI is the wave of the future, calling it the "singular thing that will be larger than all of human tech revolutions added together, including electricity, [the] industrial revolution, internet, mobile internet -- because AI is pervasive."
It was reported that Venture Capital investments into AI related startups made a significant increase in 2018, jumping by 72% compared to 2017, with 466 startups funded from 533 in 2017. PWC moneytree report stated that that seed-stage deal activity in the US among AI-related companies rose to 28% in the fourth-quarter of 2018, compared to 24% in the three months prior, while expansion-stage deal activity jumped to 32%, from 23%. There will be an increasing international rivalry over the global leadership of AI. President Putin of Russia was quoted as saying that "the nation that leads in AI will be the ruler of the world". Billionaire Mark Cuban was reported in CNBC as stating that "the world's first trillionaire would be an AI entrepreneur".
These solutions will help Huawei deliver intelligent connectivity that is characterized by ubiquitous gigabit, deterministic experience, and hyper-automation in order to build industry Intelligent Twins. Huawei also launched autonomous driving network (ADN) solutions for enterprises, propelling enterprise networks into the ADN era and accelerating the intelligent upgrades of industries. David Wang, Huawei Executive Director and Chairman of the Investment Review Board, delivered a keynote speech titled "Building industry Intelligent Twins with intelligent connectivity." According to Mr. Wang, connectivity is productivity. It is not mere computing power, but strong connectivity that makes Intelligent Twins smarter.
Traffic forecasting is an important prerequisite for the application of intelligent transportation systems in urban traffic networks. The existing works adopted RNN and CNN/GCN, among which GCRN is the state of art work, to characterize the temporal and spatial correlation of traffic flows. However, it is hard to apply GCRN to the large scale road networks due to high computational complexity. To address this problem, we propose to abstract the road network into a geometric graph and build a Fast Graph Convolution Recurrent Neural Network (FastGCRNN) to model the spatial-temporal dependencies of traffic flow. Specifically, We use FastGCN unit to efficiently capture the topological relationship between the roads and the surrounding roads in the graph with reducing the computational complexity through importance sampling, combine GRU unit to capture the temporal dependency of traffic flow, and embed the spatiotemporal features into Seq2Seq based on the Encoder-Decoder framework. Experiments on large-scale traffic data sets illustrate that the proposed method can greatly reduce computational complexity and memory consumption while maintaining relatively high accuracy.