If you are looking for an answer to the question What is Artificial Intelligence? and you only have a minute, then here's the definition the Association for the Advancement of Artificial Intelligence offers on its home page: "the scientific understanding of the mechanisms underlying thought and intelligent behavior and their embodiment in machines."
However, if you are fortunate enough to have more than a minute, then please get ready to embark upon an exciting journey exploring AI (but beware, it could last a lifetime) …
Azure SQL Database is the intelligent, scalable, relational database service built for the cloud. It's evergreen and always up to date, with AI-powered and automated features that optimize performance and durability. In this session, we will cover the foundations of Azure SQL Database Service (the most matured PaaS offering on Azure), showcase multiple demos, and learn why it is a database of choice for a variety of applications. We will cover various modern application use cases, and customer examples. By attending this workshop, you will learn about Azure SQL Database, the most matured cloud relational database in the cloud.
Do you want to understand why your competitors are winning the business of potential clients? How do you predict future trends within your marketplace? Are you looking to predict government policy decisions that will affect you and your business? These are the questions that can be answered by a team of data scientists that will improve your business and your understanding of your clients. Let's take the first question: "Why are your competitors winning the business of potential clients that you may be missing out on."
As the popularity of artificial intelligence waxes and wanes, it feels like we are at a peak. Hardly a day goes by without an organization announcing "a pivot toward AI" or an aspiration to "become AI-driven." Banks and fintechs are using facial recognition to support know-your-customer guidelines; marketing companies are deploying unsupervised learning to capture new consumer insights; and retailers are experimenting with AI-fueled sentiment analysis, natural language processing, and gamification. A close examination of the activities undertaken by these organizations reveals that AI is mainly being used for tactical rather than strategic purposes -- in fact, finding a cohesive long-term AI strategic vision is rare. Even in well-funded companies, AI capabilities are mostly siloed or unevenly distributed.
The pandemic is a severe stress test for the business continuity plans of global corporations. The operators of call centres are playing an important role in meeting that challenge, and it has not been easy. In normal times, if an earthquake hits Bangalore, you can switch capacity to your call centre in Manila. But what do you do when all the call centres around the world that serve your customers are hit – all at the same time? The big outsourcing call centre companies which serve corporate giants have hundreds of thousands of employees, and many of these people are working from home now.
Some thought leaders, such as Elon Musk and the late Stephen Hawking, have repeatedly warned about the potential danger of artificial intelligence and expressed fear that AI may annihilate humans someday. Such fear has not been shared by the vast majority of computer scientists and data scientists, who consider the hyped drama of "man vs. machine" a distraction that is grounded in an intriguing but misguided fiction. Meanwhile, a true AI crisis is upon us now, and is having a huge impact on the business world. As much as enterprises are eager to embrace AI to innovate products, transform business, reduce costs, and improve competitive advantages, they find it very difficult to productionize AI and realize its full benefits, due to the time, budget, and skills required. As a result, the rate of AI adoption has significantly lagged the level of interest, particularly for small- and medium-sized enterprises, which are more resource-constrained.
Artificial intelligence can help internet service providers prevent DDoS attacks before they happen, say researchers. Findings from the National University of Singapore and Ben-Gurion University of the Negev, Israel, presented a new method in the peer-reviewed journal Computers & Security. The method uses machine learning to detect vulnerable smart home devices, which are an attractive target for hackers who assemble botnets to launch DDoS attacks. The machine learning detector does not invade customers' privacy and can pinpoint vulnerable devices even if they're not compromised. "To the best of my knowledge, telcos monitor the traffic and can only detect DDoS attacks once they are executed, which might be too late," Yair Meidan, Phd student at Ben-Gurion and the research team lead, told The Daily Swig.
Astronomers have applied artificial intelligence (AI) to ultra-wide field-of-view images of the distant Universe captured by the Subaru Telescope, and have achieved a very high accuracy for finding and classifying spiral galaxies in those images. This technique, in combination with citizen science, is expected to yield further discoveries in the future. A research group, consisting of astronomers mainly from the National Astronomical Observatory of Japan (NAOJ), applied a deep-learning technique, a type of AI, to classify galaxies in a large dataset of images obtained with the Subaru Telescope. Thanks to its high sensitivity, as many as 560,000 galaxies have been detected in the images. It would be extremely difficult to visually process this large number of galaxies one by one with human eyes for morphological classification.
Researchers at the University of Notre Dame are developing a new technique using artificial intelligence (AI) that would improve CT screening to more quickly identify patients with the coronavirus. The new technique will reduce the burden on the radiologists tasked with screening each image. Testing challenges have led to an influx of patients hospitalized with COVID-19 requiring CT scans which have revealed visual signs of the disease, including ground glass opacities, a condition that consists of abnormal lesions, presenting as a haziness on images of the lungs. "Most patients with coronavirus show signs of COVID-related pneumonia on a chest CT but with the large number of suspected cases, radiologists are working overtime to screen them all," said Yiyu Shi, associate professor in the Department of Computer Science and Engineering at Notre Dame and the lead researcher on the project. "We have shown that we can use deep learning -- a field of AI -- to identify those signs, drastically speeding up the screening process and reducing the burden on radiologists."
Healthcare delivery tomorrow will look much different than today for a variety of reasons. Consumer expectations, the emergence of nontraditional players, and a move to value-based care are among the driving forces. Yet nearly all advancements ride on the backbone of technology and the ability to harness a massive quantity of data now being produced. This June, HealthLeaders convened a select group of health system executive thought leaders to discuss the topic, "Healthcare System of the Future." In his keynote address to CEOs, CFOs, CMOs, and CNOs, as well as innovation and revenue cycle executives, John Halamka, MD, MS, president of the Mayo Clinic Platform, discussed the technology stepping stones that will pave the road forward.