IntelliVision, a pioneer and leader in AI/Deep Learning video analytics software for smart cameras, announced today that it has been named the 2017 Entrepreneurial Company of the Year for Security Intelligence and Video Analytics by leading analyst firm Frost & Sullivan. "Video analytics and intelligence functions will remain the most in-demand security technology segment for customers looking to modernize their security operations and increase overall efficiency," said Danielle VanZandt, security industry analyst with Frost & Sullivan. "IntelliVision's advanced analytics and intelligence technologies, coupled with its ability to deploy inside the camera, on-premise servers, or on the cloud put it well ahead of its competition in this field." "We are honored to receive this award from Frost & Sullivan," said Vaidhi Nathan, IntelliVision's CEO. "It is a vindication of our many years of research, development and customer service in the growing field of AI-based video analytics for smart cameras."
Gone are the days of guessing what each individual customer wants by researching demographic populations. Take inspiration from some of the largest tech companies like Amazon, Facebook and Google who are investing large amounts of money in machine learning and AI to predict what their customers want before they even know it. Learn how to become a savvier marketer with these suggestions to improve your overall ROI and business performance. By 2018, Gartner predicts that 20% of all business content will be authored by machines. Artificial intelligence will enable content curation by unifying information from diverse datasets, permitting companies to give users more data on usage and other aspects that might interest them from third-party data providers.
While working at Tesla, I always enjoyed talking to people after they finished a factory tour. As much as they raved about the amazing automation, gigantic presses, and hundreds of robots, the reality was they only saw half of the actual manufacturing that was taking place in the building. Unknown to most visitors, the factory's "secret" second floor built many of Tesla's battery, power electronics, and drive-train systems. It was home to some of the most advanced manufacturing and automation systems in the company. Some of the robots moved at such high speeds that their arms needed to be built from carbon fiber instead of steel.
Hardly an industry today can escape disruption. New technologies and business models compel CTOs and IT leaders to seek innovative ways to stay ahead of the digital transformation curve. But they face challenges understanding the role and impact of cognitive technologies such as artificial intelligence (AI) and machine learning when integrating them into their existing infrastructure. An increasing number of those infrastructures include mainframe systems, and enterprises are looking to leverage the compute power and secure data protection mainframes offer for running cognitive applications. Cognitive technologies applied to transactional data are pivotal in capturing keen insights, building client relevancy, implementing cost-effective business models and more.
A government-sponsored review into the potential impact of artificial intelligence (AI) on the UK economy is urging a comprehensive programme of support for the discipline. Every conference this year contains a dead human genius reincarnated as software system or a robot. Yes, there is a lot of hype, but there is real worth in AI and Machine Learning. Read our counseling on how to avoid adopting "black box" approach. You forgot to provide an Email Address.
In the future, industrial automation will continue to decrease the need for human workers in the developed world. Jobs like trucking are slowly being transferred to self-driving trucks, as businesses can save a good deal of money on labor over the long term. Even white-collar careers such as the paralegal and clerical fields are highly susceptible to automation by computer programs. So how can one ensure that they will be employable as this drastic societal change occurs? This problem can be mitigated by observing trends in the economy and finding sectors that will grow long into the future.
Where were you on the day of the world's first giant robot duel? Maybe you were working at your desk, brushing your teeth, labouring over your tax return, ironing the perfect pleat in tomorrow's pants. Meanwhile, giant robots were chainsawing other to shreds in a Japanese shed. SEE ALSO: Robotics expert Dr. Ross Mead reveals the truth about your favorite movie robots The world's first giant combat robot duel just happened on Tuesday, Oct. 17, pitting America and Japan against each other in a Twitch-livestreamed battle for the ages. Representing the United States, two epic robots from MegaBots Inc., founded by Matt Oehrlein and Gui Cavalcanti.
If you're concerned (or super excited) about machine learning (ML) becoming mainstream, a recent survey by Oxford Economics on behalf of human resources (HR) and IT asset management company ServiceNow should pique your interest. The report, which surveyed 500 Chief Information Officers (CIOs) in 11 countries and across 25 industries, found that 49 percent of the companies are already using ML to improve traditional business processes. Of the 500 CIOs surveyed, 200 said they're already beyond the pilot stage and have begun deploying ML in some capacity. CIOs are hoping to limit user error and errors in judgement by introducing automation. Almost 70 percent of CIOs said decisions made by machines will be more accurate than those made by humans.
Back in May, Google revealed its AutoML project; artificial intelligence (AI) designed to help them create other AIs. Now, Google has announced that AutoML has beaten the human AI engineers at their own game by building machine-learning software that's more efficient and powerful than the best human-designed systems. An AutoML system recently broke a record for categorizing images by their content, scoring 82 percent. While that's a relatively simple task, AutoML also beat the human-built system at a more complex task integral to autonomous robots and augmented reality: marking the location of multiple objects in an image. For that task, AutoML scored 43 percent versus the human-built system's 39 percent.
The RICS has launched an insight paper today which explores the impact of using artificial intelligence (AI) in the built environment, and the urgent need for industry professionals to understand how it will influence their role, as the future will rely less on human labour and more on technology. One sector that the Artificial Intelligence: What it means for the built environment highlights as facing a significant impact of AI is facilities management (FM), due to the labour-intensive and repetitive nature of many FM jobs, making it an ideal place for automation of previously human-dominated tasks. However, the report weighs up the positives and negatives of such changes and how companies should deal with them. The paper discusses how AI will transform the property industry by driving smart, efficient buildings from design through to construction. It also highlights how those in the industry can exploit the latest AI applications and developments, including drones and BIM (Building Information Modelling), to plan and work more effectively, while improving and better maintaining the quality of buildings and the wider built environment.