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) …
It has been abundantly clear for quite some time that enterprise technology development has been focused on the digital workplace, but according to a recent book from Tom Seibel, which we discussed last month, what is happening now is a game changer. In Digital Transformation: Survive and Thrive in an Era of Mass Extinction, he argues that technology is at a inflection point and that the principle technology discussion in the digital workplace at the moment is how to manage the convergence of four megatrends: cloud computing, big data, artificial intelligence (AI) and Internet of Things (IoT). While these systems are making work more'intelligent' they are also increasingly difficult to manage. The manufacturing industry, for example, has been working with these trends separately for years in a number of different ways, according to Maryanne Steidinger of Webalo, and they are all starting to dovetail through the use of data. Here's how each technology is working in the enterprise: Software is now being offered as a service (i.e., cloud-based, where you are essentially leasing vs. purchasing it) for the past 10 years.
In Japan's FANUC plant robots are producing robots and they outnumber people. Robots are beating humans in intelligence games, reading and writing pop songs. They are driving us to our chosen destinations and are on their way to become doctors, engineers, scientists, songwriters and painters. Never ever in history, the boundaries between fact and fiction were so thin. By 2030 AI will add an additional $15.7 trillion to the global economy.
Many of these people live in rural areas, where fiber, coaxial cable, DSL or any other kind of broadband infrastructure is scarce or nonexistent. This is a huge issue for rural community administrators and school officials who have been struggling to help their communities. For example, students can use the internet in school, but when they go home to do their homework, they have no access. At Revolution D, I've been working with these local officials to try to help them solve their problems. Technology has changed a lot in the past few years--what's known as fixed wireless technology is becoming more widespread.
In this video from the HPC User Forum at Argonne, Ian Colle from Amazon presents: What Can HPC on AWS Do? AWS provides the most elastic and scalable cloud infrastructure to run your HPC applications. With virtually unlimited capacity, engineers, researchers, and HPC system owners can innovate beyond the limitations of on-premises HPC infrastructure. AWS delivers an integrated suite of services that provides everything needed to quickly and easily build and manage HPC clusters in the cloud to run the most compute intensive workloads across various industry verticals. These workloads span the traditional HPC applications, like genomics, computational chemistry, financial risk modeling, computer aided engineering, weather prediction, and seismic imaging, as well as emerging applications, like machine learning, deep learning, and autonomous driving." Ian Colle joined AWS as the General Manager for AWS Batch and HPC in November 2017.
In a media briefing at Dell's AI Experience Zone in Singapore, Dell Technologies announced that AI Singapore has chosen Dell Technologies to deliver High-Performance Computing (HPC) infrastructure that's optimised for AI workloads. AI Singapore, first announced in 2017, is a national program office launched by the National Research Foundation (NRF) to drive the adoption of artificial intelligence, develop the country's AI talent and help seed high-quality research efforts to develop fundamental AI novel techniques, algorithms and adjacent technologies. In the collaboration, Dell Technologies will provide three key computational building blocks for the new supercomputer at AI Singapore to help drive performance and flexibility for its researchers and to scale up its flagship 100 Experiments (100E) program. According to Laurence Liew, Director, AI Industry Innovation, for the 100E program, AI Singapore would partner with companies or industries that need AI solutions, but there are no commercially available solutions available for them in the market, or when they're committed to building their own products to compete globally. "The way we support them is by bringing our professors, researchers and engineering teams to work together with the companies to build their AI products and solutions," he explained.
Tech giant Microsoft is teaming up with Nuance Communications to use technology to solve a big pain point for doctors--too much time spent on documenting and administrative tasks. The two companies are collaborating to use ambient technology combined with artificial intelligence, automation and cloud computing to create an exam room experience where the clinical documentation "writes itself," the companies said in a press release. Physician burnout continues to be a significant problem in healthcare. A recent study shows that primary care doctors now spend two hours on administrative tasks for every hour they're involved in direct patient care. Physicians reported one to two hours of after-hours work each night, mostly related to administrative tasks.
ALPS, known for its in-car electronics components has put together a Done system that can autonomously inspect powerline infrastructure. The drone has highly precise and sensitive sensors, including a Lidar, which is a laser-based radar that provides 3D awareness of what's around the drone. As an upgrade, ALPS is working on adapting an RF (radio-frequency) positioning system that has a 30cm (11-inch) precision instead of the normal 16 feet precision of civilian GPS systems. Power companies like PG&E have tested drone inspections since 2016, and it would typically be used for difficult terrain where it is dangerous and time-consuming (expensive) for human personnel to go. An inspection requires a drone pilot and a supporting team.
There is growing interest in machine learning (ML) and artificial intelligence (AI) in enterprise organizations. The market is quickly moving from infrastructures designed for research and development to turn-key solutions that respond quickly to new business requests. ML/AI are strategic technologies across all industries, improving business processes while enhancing the competitiveness of the entire organization. ML/AI software tools are improving and becoming more user-friendly, making it easier to to build new applications or reuse existing models for more use cases. As the ML/AI market matures, high-performance computing (HPC) vendors are now joined by traditional storage manufacturers, that are usually focused on enterprise workloads.
With over 600,000 bridges across the United States, nearly 8% of which are deemed structurally deficient, monitoring and maintaining our country's infrastructure is critical to ensuring the safety of American motorists. Dynamic Infrastructure, a New York- and Tel Aviv-based startup, is currently implementing an innovative artificial intelligence system that allows infrastructure operators to observe condition changes in real time. The system provides live, cloud-based, 3-dimensional images of the bridge or tunnel, while detecting and alerting the operators to any observed change before it results in a collapse. "The world faces an infrastructure crisis," said Saar Dickman, co-founder and CEO of Dynamic Infrastructure. "Specifically, deficient bridges and tunnels represent a severe infrastructure challenge in the U.S. and worldwide and their poor condition leads to life losses and millions in unplanned expenditures."
In the last five years, many large companies began to integrate artificial intelligence systems into their IT infrastructure with machine learning as one of the most widely used technologies. The spread and use of artificial intelligence will grow and accelerate. According to forecasts by IDC, a market research firm, worldwide industry spending on artificial intelligence will reach $35.8 billion in 2019 and is forecast to double to $79.2 billion in 2022 with an annual growth rate of 38 percent. Today, 72 percent of business executives believe that artificial intelligence will be the most significant business advantage for their company, according to PwC, a consultancy. In the next years, we can expect the investment boom in artificial intelligence to also reach the public sector as well as the military.