Artificial Intelligence for Transformative Power

AI is a fast-growing field of engineering with the aim to develop machines capable of thinking and behaving like humans. It involves the creation of computer systems that exhibit some form of human intelligence. This intelligence refers to learning new concepts or tasks, reasoning and drawing conclusions about the world, understanding a natural language, perceiving and understanding a visual scene, and performing other tasks that require human intelligence. Besides creating the possibility of transforming businesses, AI also addresses some of the biggest challenges. Thousands of lives may be saved, and mobility can be increased for the elderly and the disabled by using autonomous vehicles. Smart buildings may help reduce carbon footprint and save energy. Smart card-based systems can help in fraud detection. Robotic pets can help patients with depression and keep them active. These are just a few of the benefits that AI promises and delivers upon.
AI is developing rapidly due to several reasons. The digitized world is providing the raw material to fuel its growth. Big data from sources such as Internet of Things (IoT) sensors, healthcare, mobile computing, and others create data which can be used to train AI models. In addition, recent developments in hardware and new computational models, mainly around GPUs have speeded up the adoption of AI. Furthermore, AI investment is no longer limited to university laboratories and research institutions but is prevalent in several areas such as large organizations, government, venture capital-backed startups and others.
Companies all over the world are increasingly adopting artificial intelligence to cater to their business needs and strengthen their positions in the market. Recently, Nvidia, a software maker came up with a novel way to edit or rebuild damaged images using AI. The deep learning method makes use of a method known as image inpainting, which is capable of reconstructing images that could be missing pixels. Their model also removes unwanted content within a picture and replaces it with a computer-generated alternative. According to Nvidia researchers, the innovative method can manage holes of any shape, size location, or distance from the image borders.
Total S.A., a French multinational integrated oil and gas company formed an agreement with Google Cloud to develop Artificial Intelligence (AI) solutions for subsurface data analysis for oil and gas exploration and production. According to Total, making use of AI in the oil and gas sector is a promising avenue to be explored for optimizing their performance, mainly is subsurface data interpretation. They said that they are happy to work with Google Cloud towards achieving this goal. Total also said that the objective behind forming the deal is to build AI programs which makes it possible to interpret subsurface images, especially from seismic studies (using computer vision technology) and automate the analysis of technical documents (using natural language processing technology). The programs enable the company’s geologists, geophysicists, reservoir and geo-information engineers to explore and assess oil & gas fields faster and effectively.
Applexus Technologies, a systems integration and software development company unveiled a new Artificial Intelligence (AI) practice to offer AI software and services to its customers. The practice supports numerous AI services and solutions via custom and packaged solutions by employing the technologies such as deep learning, machine learning, and big data analysis.
In March 2018, Royal Philips, a Dutch technology company, introduced the platforms such as HealthSuite Insights, including the Insights Marketplace to support the adoption of analytics and artificial intelligence (AI) in important healthcare sectors. HealthSuite Insights provides data scientists, software developers, clinicians and healthcare providers access to advanced analytic capabilities to analyze healthcare data. It also provides the tools and technologies to develop, maintain, deploy, and scale AI-based solutions. It simplifies the logistical challenges of deploying AI solutions in research and clinical environments, speeds up the development of analytics solutions, and reduces development and cost of AI solutions.
More businesses are becoming aware of the benefits of AI and are implementing it in their operations. And it is likely that the technology transforms the way businesses run today in the coming years.