It sounds like a contradiction in terms, but disaster and disruption management is a thing. Disaster and disruption are precisely what ensues when catastrophic natural events occur, and unfortunately, the trajectory the world is on seems to be exacerbating the issue. In 2021 alone, the US experienced 15 weather/climate disaster events with damages exceeding $1 billion. Previously, we have explored various aspects of the ways data science and machine learning intertwine with natural events -- from weather prediction to the impact of climate change on extreme phenomena and measuring the impact of disaster relief. AiDash, however, is aiming at something different: helping utility and energy companies, as well as governments and cities, manage the impact of natural disasters, including storms and wildfires.
A type of artificial intelligence called machine learning can help scale up manufacturing of perovskite solar cells. Perovskite materials would be superior to silicon in PV cells, but manufacturing such cells at scale is a huge hurdle. Perovskites are a family of materials that are currently the leading contender to replace the silicon-based solar photovoltaics that are in broad use today. They carry the promise of panels that are far lighter and thinner, that could be made in large volumes with ultra-high throughput at room temperature instead of at hundreds of degrees, and that are easier and cheaper to transport and install. But bringing these materials from small laboratory experiments into a product that can be manufactured competitively has been a protracted struggle.
The massive, beautiful tree canopies in the Western U.S., which may grow perilously close to power lines, can quickly spark destructive wildfires. In fact, 70% of electrical outages are caused by vegetation, and this number has increased by 19% year over year from 2009-2020. The second-largest wildfire in California's history, The Dixie Fire, sparked when power lines came into contact with a fir tree. Could AI-driven solutions help prevent wildfires before they start by analyzing the tree growth that can spark them? Hitachi Energy, the Zurich, Switzerland-based global technology company, says yes. Hitachi Energy, formerly known as Hitachi ABB Power Grids (the name was changed last October) is currently focused on "powering good for a sustainable energy future."
On the very first business process design project, my team was told to redesign an internal invoice process in accounts receivable. Problems involved duplicate systems and duplicate BPs that prolonged invoice processing for days. Working hand in hand with finance, we reviewed each step of the process, identifying duplicates in data and processes and eliminating them. The result was a more streamlined invoicing process that went from three days to one. I often think of that first BP redesign assignment and how straightforward it was when compared to redesigning BPs with artificial intelligence.
Tatum, Texas might not seem like the most obvious place for a revolution in artificial intelligence (AI), but in October of 2020, that's exactly what happened. That was when Wayne Brown, the operations manager at the Vistra-owned Martin Lake Power Plant, built and deployed a heat rate optimizer (HRO). Vistra Corp. is the largest competitive power producer in the United States and operates power plants in 12 states with a capacity of more than 39,000 megawatts of electricity--enough to power nearly 20 million homes. Vistra has committed to reducing emissions by 60 percent by 2030 (against a 2010 baseline) and achieving net-zero emissions by 2050. To achieve its goals, the business is increasing efficiency in all its power plants and transforming its generation fleet by retiring coal plants and investing in solar- and battery-energy storage, which includes the world's largest grid-scale battery energy-storage facility.
In the third of a series of blogs from our global offices, we provide a overview of key trends in artificial intelligence in the United Arab Emirates. What is the UAE's strategy for Artificial Intelligence? In 2017, the UAE appointed a Minister of State for Artificial Intelligence, H.E. Omar Bin Sultan Al Olama, and issued a national AI strategy seeking to become one of the world leaders in AI by 2031. To implement the national AI strategy, the UAE established an Office for Artificial Intelligence, which is responsible for enhancing government performance by investing in AI technologies and tools for application across various sectors. The UAE Council for Artificial Intelligence and Blockchain was also established to provide advice to the government on the adoption and use of AI, to design policies that promote an AI-friendly ecosystem, to advance research and to promote private–public collaboration in that space.
In this decade of 21st century, world is seeing very different challenges in the power management in Power Generation, transmission, distribution & consumption. As most of the countries are taking on challenges on sustainability goals, there is significant Energy Transition happening towards more & more GREEN energy. Lot more sources of energy like Wind, Solar are becoming more viable and being adopted. However, this has put a clear expectation on adding intelligence into the existing products & solutions to manage this transition as well as adopting new digital software-based solutions. With the rapid advancement in the IoT & Cloud infrastructure, creating this intelligence is now feasible and economically viable.
Robotics in oil and gas production can save several lives every year by executing tasks that are too dangerous for workers. Oil and gas production involves some of the most dangerous jobs in the world. Tasks such as oil drilling, roughneck jobs and maintenance tests, among others, cause several worker deaths every year. In fact, a study found that there are several deaths in oil and gas production that are never reported. Such points and facts beg the question, what makes oil and gas production so dangerous?
AJ Abdallat is CEO of Beyond Limits, a leader in artificial intelligence and cognitive computing. Artificial intelligence (AI), machine learning (ML) and similar digitalization solutions are modifying the way the world's most influential companies and industries -- as well as entire cities -- function every day. When working in harmony with humans, AI and other automation systems have the potential to make huge impacts on economic growth across the globe, going so far as to support solving humanity's most critical roadblocks, from streamlining energy production to improving grid systems and achieving more sustainable operations for nearly every major industry on Earth. As the CEO of an AI company making advanced digitalization software products and solutions, the paradigm of enabling people and AI to work together on achieving more sustainable operations is always top of mind; its importance cannot be curbed. As we move into the future, I'm confident there will be plenty of jobs for both humans and AI so long as they are able to function in conjunction with one another.
Hyundai will allocate an additional $5 billion toward investments in the US, the automaker announced on Sunday. The funds will support the company's work in electric vehicles, robotics, air taxis, self-driving cars and artificial intelligence. The announcement follows the recent news that Hyundai plans to build a $5.54 billion electric vehicle plant in Georgia. With that facility included, the automaker intends to invest $10 billion in the US by 2025. Some of the money will go toward supporting Boston Dynamics, which Hyundai acquired in 2021.