Ongoing technological advancements in automation and artificial intelligence(AI) guarantee to disrupt the very foundations of how legal work is conducted and delivered. However, how they challenge current plans of action, where they experience resistance, and how the advantages of automation can be realized stay unexplored. Current patterns show how technology and market pressures consolidate to challenge the business models of legal administrations and firms. Intelligent automation and law join hands to make creative AI solutions and applications to automate repetitive lawful procedures, for example, reviewing documents or recognizing basic clauses. Artificial intelligence and the law are fields you wouldn't think would blend in agreement.

In the recent report "The Network Highway of Tomorrow--Redefining Enterprise Networking," the Economist Intelligence Unit explores how digital transformation is a major focus for all enterprises that want high-performing applications and ubiquitous connectivity, whether in their organizations' employee infrastructure, or outside their organization with end customers and partners. An always-connected world requires enterprises reimagine their networks and leverage a modern approach. In the report, visionaries like ZK Research's Zeus Kerravala, Nemertes' founder Johna Till Johnson and Standard Chartered global head of network services Richard Christopher, discuss how cloud, virtualization, ML and AI can help CTOs, CIOs and IT securely and efficiently deliver next-gen connectivity and performance to both end users and applications. With literally trillions-of-dollars at stake, network performance for business-critical applications has never been more important. In a highly digitized world, the network needs to act as a self-driving car for the enterprise--dynamically reacting to traffic congestion in the same way a driver in a car reacts in real time to pedestrians, potholes, ice and other obstacles to ensure the car safely stays on course.

By succeeding in making machines work in tandem with humans to collect and process data, analyze it, and make decisions, enterprises have benefited from a continuously rising productivity. Over the years, advances in what machines can do have resulted in new tools and methods for analyzing data. These advances have also been accompanied by new waves of excitement and anxiety about automation. Already at the dawn of the computer age, speedy calculations led to new approaches to data analysis such as simulations and Monte Carlo methods. At the same time, the excitement over these "thinking machines" or "giant brains" as they were popularly called at the time, led 26-year-old John Diebold to write a book titled automation, published in 1952.

When AI (Artificial Intelligence) Goes Wrong ... The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the human brain that designed it. Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy. When AI (Artificial Intelligence) Goes Wrong ... The intelligence in AI is computational intelligence, and a better word could be Automated Intelligence. But when it comes to good judgment, AI is not smarter than the human brain that designed it. Many automated systems perform poorly, to the point that you are wondering if AI is an abbreviation for Artificial Innumeracy.

Over the last decade, technical and infrastructural developments have created a nurturing environment for developing applications of machine learning and reasoning?Çöand for harnessing automated intelligence to assist people in the course of their daily lives. Microsoft researchers continue to push the state of the art in applying machine intelligence to the daily lives of people through research in algorithms and technologies to discover knowledge from large-scale data. By building software that automatically learns from data, our goal is to enable applications to behave more intelligently and enable users to become more productive.