Thanks to the advent of the latest innovations in Artificial Intelligence (AI) and machine learning (ML), smart cities -- with a specific focus on the utilities sector -- are undergoing unprecedented changes. The Capgemini Research Institute estimated that, together with the energy sector, the utility vertical can save between $237 billion to $813 billion USD from intelligent automation at scale. Utility companies have been experimenting with AI use cases such as predictive maintenance, yield optimization, and demand/load forecasting. In 2019, more than half of energy and utilities organizations have deployed at least one practical implementation of AI technology, reaping its consistent benefits. Even the public seems eager to enjoy the positive innovations brought forward by the AI transformation.
The future of work is now. Already, we're seeing how technology is revolutionizing the way people work and companies operate. This is driving change across many areas, particularly the workplace and different organizational departments. This change is expected to continue in the coming years, however, there's no time like the present to evaluate which changes are taking place and how they're impacting the world of work. While it's necessary that we think of how jobs and workplaces will look like tomorrow, it's also necessary that we evaluate jobs and workplaces today.
For those of us building a smart home, we all face the same problem: Which digital assistant to use? Between the vast libraries of skills and abilities of the two biggest players, Google Assistant and Amazon Alexa, it can be tough to choose. But the good news is that you actually don't have to. You can comfortably live with both assistants under one roof thanks to these helpful tips. You've got a Google Home at one end of the living room and the best Echo speaker, Amazon's Echo (third-generation) at the other--which one is worth talking to all the time? Both Google Assistant and Alexa offer plenty of connected home prowess.
IoT or Internet of Things is slowly making its way in every aspect of our lives. If you don't own an IoT device yet, you will surely own one soon. But it is highly unlikely that you even wouldn't have heard of such devices. From smart televisions, fridges, thermostats to smart coffee makers, IoT devices have infiltrated our daily lives and are slowly gaining mainstream recognition. According to recent studies as of 2019, the number of active IoT devices peaked at a significant 26.66 billion.
Z Advanced Computing, Inc. (ZAC), the pioneer startup on Explainable-AI (Artificial Intelligence) (XAI), is developing its Smart Home product line through a paid-pilot for Smart Appliances for BSH Home Appliances (a subsidiary of the Bosch Group, originally a joint venture between Bosch and Siemens), the largest manufacturer of home appliances in Europe and one of the largest in the world. ZAC just successfully finished its Phase 1 of the pilot program. "Our cognitive-based algorithm is more robust, resilient, consistent, and reproducible, with a higher accuracy, than Convolutional Neural Nets or GANs, which others are using now. It also requires much smaller number of training samples, compared to CNNs, which is a huge advantage," said Dr. Saied Tadayon, CTO of ZAC. "We did the entire work on a regular laptop, for both training and recognition, without any dedicated GPU. So, our computing requirement is much smaller than a typical Neural Net, which requires a dedicated GPU," continued Dr. Bijan Tadayon, CEO of ZAC.
The Artificial Intelligence Plus Internet of Things (AIOT) Market study is major compilation of significant information with respect to the competitor details of this market. Likewise, the information is also inclusive of the several regions where the Global Artificial Intelligence Plus Internet of Things (AIOT) Market has successfully gained the position. Report on the Global Artificial Intelligence Plus Internet of Things (AIOT) Market has been prepared after conducting a comprehensive research through a systematized methodology. These skills are useful for scrutinizing the market on the terms of outlined research guidelines. Mainly, research report covers all the information about the target audience, manufactures, vendors, research papers, products and many more.
Software-as-a-service (SaaS) has become part of the tech lexicon since emerging as a delivery model, shifting how enterprises purchase and implement technology. A new "_" as a service model is aspiring to become just as widely adopted based on its potential to drive business outcomes with unmatched efficiency: artificial intelligence as a service (AIaaS). According to recent research, AI-based software revenue is expected to climb from $9.5 billion in 2018 to $118.6 billion in 2025 as companies seek insights into their respective businesses that can give them a competitive edge. Organizations recognize that their systems hold virtual treasure troves of data but don't know what to do with it or how to harness it. They do understand, however, that machines can complete a level of analysis in seconds that teams of dedicated researchers couldn't attain even over weeks.
Experts have got together to discuss the future of home automation and reveal their predictions for the future of home automation. According to futurologists, around 90 per cent of household chores will be automated thanks to robots, drones and AI by 2040. These will be carried out by drones, robots and virtual AI butlers that will help with laundry, dusting and even making the bed, they claim. Kings College Professor Mischa Dohler and futurologist Dr Ian Pearson created a report with consumer site comparethemarket.com to predict how homes will look in two decades time. Experts have got together to discuss the future of home automation and revealed their predictions for the future of home automation.
Although the concept of digital twins isn't new and exists since before the term digital twin was coined at the start of this Millennium, it took until this decade before digital twin technology, the various digital twin use cases and the potential benefits gained more attention. In an Industrial IoT context digital twin usage grows fast a 2018 Gartner digital twin report finds, offering digital twin best practices for CIOs on top of data regarding (planned) usage. First, quickly back to the digital twin roots to understand today's evolutions and impact. On top of the possibilities and several ways to create value which digital twins offer (whereby there is still a lot to explore and try on multiple levels; products, assets and beyond) as a driver of the rise of digital twins in industrial applications, there are several key technology-related drivers. The latter overlap with the factors that contributed to growing adoption of the Internet of Things (initially in the enterprise and Industrial IoT segments), the acceleration of digital transformation and the evolutions enabling Industry 4.0.
Podcast host John Koetsier sat down for an interview with Cujo AI VP Marcio Avillez to discuss the problem of smart device and IoT security and what we can do about it using AI technologies. Can AI help prevent distributed denial of service (DDoS) attacks and improve smart home security? The company recently inked a deal with Comcast to shield almost 20 million households from malware and spyware -- and perhaps just as importantly, to protect the rest of the internet from insecure IoT devices on those homes' local networks. By using machine learning on huge amounts of network data to build a graph of normal device traffic and tracking anomalies that could indicate hackers recruiting smart devices for botnets or other nefarious purposes. "We're seeing IP cameras, network-attached storage, devices that have a little bit more CPU, a little bit more memory, that become kind of very useful tools for hackers to do the kinds of things that they want to do," Cujo vice president Marcio Avillez said.