Is your firm prepared to welcome in an era of legal practice using artificial intelligence (AI)? Where is this technology headed and why must law firm leaders fully understand how cognitive computing works in order to benefit from it? With the vast amounts of structured and unstructured data firms have to deal with, there is increasing pressure from nimble technologies and clients to attract AI and cognitive technologies. Understanding the market implications of digital business information and trends is now key to attaining the best possible performance, revenue gains and cost savings. Berwin Leighton Paisner was one of the first firms to embrace AI in the UK, developing its'contract robot' which promised to complete work in seconds that would have otherwise taken a team of paralegals months to do.

Maggie also asked him whether or not he gambles when he visits Las Vegas. SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_c... ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW .

At SAS's Analytics Experience conference in Las Vegas yesterday, the analytics powerhouse unveiled two new additions to its SAS Viya analytics platform aimed at supporting cognitive computing: SAS Visual Investigator and SAS Visual Data Mining and Machine Learning. "Cognitive computing is disruptive, combining technologies such as natural language processing, image processing, text mining and machine learning to augment human intelligence," Oliver Schabenberger, SAS executive vice president and CTO, said in a statement yesterday. "SAS has supported cognitive technologies in analytics for decades. The exciting change is applying deep learning and high-performance computing to achieve greater automation and accuracy in the interaction between computers and people." Visual Investigator is a new, cloud-ready investigation and alert management product designed to help intelligence analysts and investigators uncover insider threats, disease outbreaks, loan risks, drug trafficking, fraud and other emerging issues.

Cyber criminals are quite adept at stealing data, money and privacy. No network is off limits as they exploit any point of weakness they find in businesses, homes, institutions, automobiles, utility networks and other portals. And their tactics evolve faster than security professionals can manage them. The question is, can we leverage technologies such as artificial intelligence (AI) and cognitive computing to win the war against cyber criminals? Cybersecurity experts shared their thoughts on this topic.

Overview: Artificial Intelligence is a technology that uses machine intelligence and human like thinking ability to process historical, and increasingly, real-time data to make predictions, recommendations, and decisions. AI is not a single technology but a convergence of various technologies, statistical models, algorithms, and approaches. Machine Learning is a subfield of computer science that evolved from the study of pattern recognition and computational learning theory in AI. Cognitive Computing involves self-learning systems that use data mining, pattern recognition and natural language processing to mimic the way the human brain works. AI is increasingly integrated in many areas including Internet search, entertainment, commerce applications, content optimization, and robotics.

At the On Point Summit, Chitra Dorai, IBM Fellow, opened with a beautiful story. In 2013, I remember watching IBM's Watson beat two human champions on Jeopardy in real time. In 2014, I remember taking a few of my clients to meet IBM's Watson. I watched her be asked and answer questions in real-life. It was unbelievable to see technology respond correctly to human questions -- as any human genius would.

The ongoing struggle between good and evil that characterizes the ongoing battles between cyber warriors and cyber criminals only grows more technologically complex. Hear what leading cybersecurity leaders have to say about the application of artificial intelligence and cognitive computing to help cybersecurity best practices stay at least one step ahead of cyber criminals.

Recently popularized by IBM's highly intelligent Watson supercomputer, which competed on the hit game show Jeopardy, cognitive computing refers to machines that are capable of learning concepts and patterns through advanced language processing algorithms. A system that involves incredibly advanced artificial intelligence, cognitive computing is one facet of computer science that isn't for the faint of heart. Although much of the hype around cognitive computing is centered on big business and big data processing, there are a number of consumer applications. Whereas business leaders might use the technology to increase their bottom line, streamline daily operations and achieve greater profitability, consumers can take advantage of cognitive computing to ease some of the burdens of everyday life. In fact, many consumers are using some form of cognitive computing without realizing it.

Cognitive computing means giving computers the ability to work out complex problems for themselves. Just like humans, cognitive computers benefit greatly from experience, learning better ways to solve problems with each encounter. When a traditional system of rules finds a task impossible, cognitive computing sees only an opportunity to expand its knowledge. The necessity for cognitive computing in the Internet of Things (IoT) arises from the importance of data in modern business. In the smart IoT venues of the future, everyone from startups to enterprises to homeowners will use data to make decisions using facts rather than instincts.

Cyber criminals are quite adept at stealing data, money and privacy. No network is off limits as they exploit any point of weakness they find in businesses, homes, institutions, automobiles, utility networks and other portals. And their tactics evolve faster than security professionals can manage them. The question is, can we leverage technologies such as artificial intelligence (AI) and cognitive computing to win the war against cyber criminals? Cybersecurity experts shared their thoughts on this topic.