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) …
This article was published as a part of the Data Science Blogathon. In the recent years, face recognition applications have been developed on a much larger scale. Image classification and recognition has evolved and is being used at a number of places. I recently read an article where a face recognition application has been deployed at one of the airports for a completely automated check in process. This will alleviate the need for manual intervention and provide a seamless end to end check in process via technology.
In 2021, one in four forward-thinking enterprises will push Artificial Intelligence to new frontiers, such as holographic meetings for remote work and on-demand personalised manufacturing, according to new predictions by Forrester Research. They will gamify strategic planning, build simulations in the boardroom, and move into intelligent edge experiences, said the report. Consultancies like Capgemini, EY, and KPMG will provide strategy and governance chops, while software companies like DataRobot, IBM, and Tecton will provide scale and speed to fuel this imagination, it added. Build your internal AI team, engage consultancies to implement domain-specific solutions, and upgrade your data, analytics, and machine learning (ML) platforms to rethink how you use AI," Forrester advised. But here are many deterrents to AI success -- a lack of trust, poor data quality, data paucity, a lack of imagination, and a dearth of the right power tools to scale.
Despite recent evidence that physician extenders can streamline radiology workflow and reduce turnaround times, radiologists should rely more on artificial intelligence (AI) for assistance than non-physician providers (NPP), a group of industry experts has said. In an editorial published in the Journal of the American College of Radiology, a team of experts, led by Daniel Ortiz, M.D., with Summit Radiology in Georgia, pointed to the several benefits of AI – not only do the tools save money and streamline workflow, but they will not encroach on a radiologist's responsibilities. For these reasons, they said, radiologists should forego giving physician extenders – the nurse practitioners, physician assistants, and other providers who take on some of a provider's duties – full practice authority. "Although labor costs have been reduced and radiologists can focus more on complex imaging studies and interventional procedures, there are unintended consequences of non-physician practitioners in practice that could diminish physician's role as healthcare providers," the group wrote. "Therefore, we encourage radiologists to consider an alternative to non-physician practitioners in radiology: the incorporation of rapidly evolving artificial intelligence algorithms into daily practice." Their concern was spawned by a recently passed Georgia law that allows advanced practice registered nurses to order CR, MRI, and other imaging exams under certain circumstances.
For many organizations, achieving digital transformation is not an overnight process. Fortunately, there are tools to help organizations make significant advances and be better positioned to reap the rewards of a digital workplace. For years, business process management (BPM) technologies have been a core part of many organizations' digital transformation strategies. As new innovations in the industry emerge, organizations are finding even more opportunities to become digitally adept. Robotic Process Automation (RPA) has been gaining popularity as the latest automation tool to drive workplace efficiency and productivity – but how is it different from traditional business process management approaches?
Artificial intelligence will utilize information to settle on decisions that is essential to the beginning phase of an architect's project. Since its inception, AI has been growing. American computer scientist John McCarthy, known as the "Father of AI," founded the expression "artificial intelligence" during the 1950s, driving analysts over the United States to delve into computer learning for processing equations and theorems. As per recent research, nearly everybody has an alternate necessity for automation. Also, a large portion of the work done by people is finished by the latest high intelligence computers.
SparkBeyond, an AI-powered problem-solving platform that augments and accelerates the generation of novel insights out of data and knowledge, alongside Baker McKenzie, a leading multinational law firm, announced a market-first collaboration that will apply SparkBeyond's technology to reimagine legal client services in the future. Baker McKenzie will launch its new global innovation arm, Reinvent, and apply SparkBeyond's AI to predict which services clients will require from law firms, explore unforeseen drivers of client demand and learn how to evolve its business to accommodate those needs. The partnership also aims to reimagine traditional law practices and pave new paths for tens of thousands of firms across the globe. "The legal sector is on a new path for disruption and innovation and our partnership with SparkBeyond will turbo-charge the evolution in our business," said Ben Allgrove, Partner at Baker McKenzie. "Understanding the drivers and root causes driving future client demand will allow us unparalleled insights and the ability to shape the future of our business to create additional value across the legal, tax, and compliance functions in the future."