The Indian Institute of Science (IISc), Bangalore is organizing an Online Workshop on AI & IoT for Flow Modeling on November 20, 2020, from 11 am to 2 pm. The Indian Institute of Science (IISc) is a public, deemed, research university for higher education and research in science, engineering, design, and management. It is located in Bangalore (Bengaluru), in the Indian state of Karnataka. The workshop is organized as part of the Indo-Dutch project, "Digital Twins for pipeline transport networks". The aim of the project is to develop a digital twin that connects sensor data and advanced fluid solvers in order to detect possible leakage of fluid from the pipeline in real-time.

Artificial intelligence, AI, learns, identifies, and implements using machines to design websites consistent with the present trends of the market by generating a customized website design. AI is exploring various platforms, such as the grid, Wix, bookmark, Adobe Sensei, fire drop, GoDaddy, etc. It takes the brain of the designer and formulates it into a machine by creating various programs by understanding all the principles of design according to the present observation of website action. This is often possible due to IoT because it utilizes smart trending technologies and creates features that connect flawlessly. Artificial intelligence and other rated technologies are applied by the companies to rework their business and reinvent their performance rate.

AI-powered and IoT-enabled applications like personalized and predictive automation along with predictive maintenance will enhance the user experience and add value to the smart homes by making life more secure, comfortable, convenient, and safe. AI and IoT are the leading factors in the growth of smart home markets. Smart living with automation and integrated AI-IoT is no longer considered as a luxury as home automation tools have become more affordable. Smart home control can be enabled either by local hardware or by a cloud-based intelligence. The application of AI in managing the smart home infrastructure helps in gathering data from the home automation devices, predict user behavior, provide maintenance data, help enhance data security and privacy.

Improving business productivity and performance majorly depends on collecting the data and effectively analyzing it. With the growing popularity of IoT, there will be an obvious surge in data that will require better infrastructure and smarter Data Science approaches. Internet of Things (IoT) is not a separate piece of the latest technology but a convergence of various complementing technologies that contribute towards production optimization, predictive maintenance, asset monitoring and management, new products and services, etc of the businesses. It is expected that, by 2020, more than 20 billion devices will be connected. This depicts the enormous volumes of data that will be generated from these devices.

Companies that manage to find their way through the maze of network technologies without expert help should not rest on their laurels however, because the real hard work and discipline come with proper data governance. Once a network of sensors have been connected to each other and the cloud, companies can start harvesting that data for later use. But hoarding all the data you can find is not the same as saving it for a useful purpose, a misconception that has spawned a whole family of buzzwords. 'Data swamps' are ungoverned repositories of data that, because of the sheer amount of unqualified data in them, are almost impossible to derive any valuable insight from. AI is only as good as the data fed to it (a concept highlighted in part one called the unreasonable effectiveness of data), and low-quality data can not only ruin the computations of one algorithm, but if the results are trusted and used in an automated process those errors can have devastating real-world implications.

Manmade machines, tools, and technology are just not enough these days. Artificial Intelligence (AI) and the Internet of Things (IoT) are the hottest trends right now. How effective are they and what should we expect in 2018? One of the most popular examples of AI is Deep Blue, a supercomputer developed by IBM. How will AI bring change in people's lives in 2018?

Long past the buzzword stage, both AI & IoT have surged to the forefront of corporate consciousness. But what do the two acronyms have to do with one another practically? In a presentation tonight hosted by Western Digital in partnership with ReadWrite, Accenture Managing Director Tom Stuermer took on that exact topic. A huge percentage of executives – 95% surveyed – expect their companies to use IoT within the next 3 years, but while nearly 3 quarters of them are "exploring" the space, only 7% have a comprehensive IoT strategy. The gap between perceived importance and practical strategy could come quickly to haunt the group as consumer and commercial use of connected devices surges.

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