Today, the term artificial intelligence (AI) is thrown around rather generously. As businesses around the world become more open to making waves and ditching legacy technologies in their quest to become data-driven, an ever-increasing number of tech deployments are claiming to use AI or machine learning (ML). But, frankly, it's often not true AI that is being used. The problem is, AI doesn't have a widely recognised definition, so it's hard to draw a line between what is AI and what isn't. In recent years, multiple businesses have invested in tools and technologies to help them understand their data, ultimately looking to maximise efficiency and provide the best possible experience for their customers.
As industrial machines are becoming more connected and flexible, the process of building and commissioning the machine is also getting smarter. Machines are built now using artificial intelligence, digital twins, and augmented reality. We caught up with Rahul Garg, VP of industrial machinery and mid-market program at Siemens Digital Industries Software. Garg explained the process of creating smart industrial machines using advanced technology. Design News: Is artificial intelligence becoming a major factor in building industrial machines?
Zoom says its real-time translation function will be up and running next year for 12 languages. The company demoed the feature Monday during its annual Zoomtopia event, and argued that it'll help break down language barriers during video calls. In the demo, Zoom employees spoke English, and the video-conferencing app translated the words in real-time using subtitles written in Japanese and then Chinese. Another employee then spoke German, and the app translated the words into English. The technology uses AI-powered algorithms to transcribe what a speaker is saying into text.
The Transform Technology Summits start October 13th with Low-Code/No Code: Enabling Enterprise Agility. Of all the fields AI is expected to permeate over the coming decade, perhaps none is more consequential than health care. From early diagnostics to robot-assisted surgery, AI is expected to enhance our health in a wide variety of ways. But it also has the potential to do great harm. The human body is a swirling mass of biological, chemical, and even electrical processes, with structures and physiologies so diverse that no two are exactly alike. More than any other industry, health care should tread carefully when it comes to implementing AI, making certain that negative outcomes be kept to an absolute minimum.
The AI tools in the experiment would be used to gather real-time analysis of data from sensors across the globe. Information would also be collected from'commercially available information', sourced from unnamed partners. VanHerck went on to say how allies and other partners could also have access to the information in real-time as it's possible to share it via cloud-based systems.
But in the context of Artificial Intelligence and Edge computing, "AI on the edge" is starting to become the norm rather than the exception. Edge AI is garnering attention partly due to the recent advances in edge compute capability and increasingly lightweight AI algorithms. But the real need for edge AI has risen from the changing dynamics of human-machine interactions and user engagement models. "AI on the edge" is an amalgamation of two key technology areas – Artificial Intelligence and Edge computing. Artificial Intelligence or machine intelligence is now a commonplace technology in applications such as computer vision, language processing and complex data analysis.
Connected drones that monitor crops, cameras that record smoke in forests, and software that analyzes data in real-time. Modern technologies allow for careful and constant monitoring of activities while providing valuable information for environmental protection. What are these sustainable innovations?
Financial services can benefit greatly from this technology, so let's talk about the different ways that IoT affects banking and financial decisions. IoT does serve a great purpose in the financial industry. In 2018, IoT spending in the banking and finance industry averaged roughly $153 million. IoT has already positively impacted the financial sector and will only continue to in the future. IoT saves financial companies a lot of time and money by gathering and transferring data.
Intelligent AI provides a 360-degree view of risk, with more than 300 datasets, including AI, IoT, Satellite, NatCat, and Open Data. "Intelligent AI offers an exceptionally relevant use case for the industry right now," said Chris Newman, global managing director at ACORD. "Their presentation demonstrated the art of the possible in what can be done with data in the insurance commercial lines space." Apart from the cash prize, the firm will be featured in an ACORD-promoted webinar to present its innovation. "I'd like to thank ACORD and the AIIC judges for this great opportunity," said Anthony Peake, chief executive officer at Intelligent AI. "We have had a fantastic first year at Intelligent AI and are excited for the future. We think real-time data and digital twins are going to be an industry game-changer for both insurers and commercial customers."
The COVID-19 pandemic has been tough for businesses and organizations across the globe, halting the physical operations of many for a prolonged period. However, with the lockdown now gradually lifting up and companies gearing up for a cautious reopening, it is essential for the organizations to be ready for a new, different world from what they knew before they went into lockdown. Given that the risk of infection still looms over, organizations ought to take the help of new-age tools and technology to be able to continue their standard operations diligently and efficiently. Ensuring the on-premise safety of workers and employees is the first essential requirement for organizations in these testing times. This can be made possible by effective deployment of AI-powered devices such as advanced IoT solutions and cameras, which intelligently map out the traffic and footfall on the floor to determine if social distancing and mask-wearing guidelines are being duly followed by the employees.