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) …
Internet of Things (IoT) and Automation are disrupting and revolutionizing the retail Industry. CES 2018 unveiled significant advancements in Artificial Intelligence and Robotics. These groundbreaking transformations will create a paradigm shift in the world of retail and how we shop. The concept of conventional grocery stores and supermarkets have taken a big hit with the advent of IoT, and online retail is continuing to thrive in the golden era of digitization. The burgeoning of the Intelligent technologies is leading the world towards Automation.
LONDON--(BUSINESS WIRE)--Seventy eight percent of UK office workers are confident their jobs will survive automation, according to new independent research* undertaken for leading enterprise Robotic Process Automation (RPA) software company UiPath. The research, exploring the attitudes of 1,000 office employees toward automation, revealed that nearly half (49 percent) do not see how their administrative duties can be undertaken by a software robot. "RPA is one of the most far-reaching revolutions in the UK workplace," said Kulpreet Singh, managing director EMEA, UiPath. "Office employees may be in for a pleasant surprise as the burden of boring and routine tasks moves to being performed by software robots instead. They will need to adjust to having a greater amount of time for more valuable work."
Artificial Intelligence is taking over retail and has been used across the entire product and service cycle. Right from pre production to post sale, retail players are leveraging AI in different forms in order to bring automation. The following article sheds light on different examples where AI is successfully integrated into key retail functions. Let's go through them one by one. It is a quintessential area where AI can transform efficiency.
A roving delivery robot made the mistake of dropping off a student's takeout order well-done after it caught fire at the University of California, Berkeley. On Friday, students found a Kiwi delivery robot consumed by flames in the middle of campus. A 30-second clip of the incident shows people looking on, many with their phones pulled out, watching idly as the four-wheeled droid burns, until a passerby finally puts out the flames with a fire extinguisher. Kiwi Campus, the startup behind the device, later explained that the mishap was due to'human error' and that it was removing all of its other robots from operation until it resolved an issue with the device's defective battery. The delivery robots are made by Kiwi, a California-based startup that works out of University of California, Berkeley's startup incubator.
As we move towards the close of 2018, technology is entering into an exciting state for consumers and organisations like. This year we've started to chart the waters of technologies such as blockchain and artificial intelligence, narrowing down on industry specific solutions for the future. Next year, many technologies will come off age, including AR technology. We're now starting to understand the implications of disruptive technologies with more sophistication. Artificial intelligence is moving from being an unfamiliar entity to a technology used to improve specific business processes.
New Delhi: We profile two enterprise tech start-ups that are using artificial intelligence (AI) to solve real world problems. TransOrg Analytics is a Gurgaon-based data science company that uses machine learning (ML)algorithms to predict customer behaviour. Founded by Naveen Jain, TransOrg offers automated machine learning solutions on the cloud. Jain and team have built Clonizo (inspired by the word'cloning'), an artificial intelligence (AI) engine that identifies customers who demonstrate similar behaviours to an "ideal" group of customers. It not only helps in identifying customer look-alikes (clones) but also in predicting customer behaviours.
Machine learning (ML) and artificial intelligence (AI) in industrial settings have certainly been getting a lot of buzz, but their adoption in process manufacturing has been limited, according to Oden Technologies (New York, NY). The company, which describes itself as a developer of intelligent industrial automation, hopes to change that dynamic with the introduction of the industry's first end-to-end ML and AI framework for manufacturing. A one-size-fits-all approach to ML and AI will never deliver on the full potential of those technologies, said Deepak Turaga, Vice President of Data Science at Oden Technologies, in a press release distributed today. The complexity and specificity of manufacturing processes have traditionally demanded heavily customized solutions developed by internal data science teams. Oden's approach is to "provide customers with the best-in-breed foundational ML and AI applications tailored for manufacturing, and the framework tools to easily extend and adapt them to their specific requirements and processes," said Turaga.
Having worked in and with the automotive industry for around 25 years, the challenges that OEMs face given their size and structures often inhibit the business agility needed to provide lasting customer value in an age of digital disruption. The focus has always been more skewed toward the product experience and product features and defining greatness by "number of cars." Also: From big data to AI: Where are we now? Mobility as a driver for change has existed for more than 10 years, but the increased competitiveness from nontraditional players has created new challenges for OEMs and forced them to rethink their role. It has produced more service-oriented ideas such as car-sharing schemes, partnerships with ride-hailing services, and closer collaboration with urban planners.
Major convenience store operator Seven-Eleven Japan Co. has launched an experimental outlet in Tokyo with an unmanned payment system and facial recognition technology. The facial recognition system was developed by technology giant NEC Corp. Seven-Eleven Japan plans to open such outlets in locations where customers can be identified, such as office buildings and factories, after resolving various technological challenges. The trial shop, located in a building that hosts NEC group companies, can be used only by their employees. The NEC-developed system checks customers' faces against pre-registered facial images of employees using cameras when they enter the outlet and make payments. After shoppers scan barcodes on products in the self-checkout area, the purchase amounts are automatically deducted from their salaries.