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) …
To prepare the most effective response, public-sector professionals need the most up-to-date information on hurricanes, tornados, earthquakes or tsunamis affecting their operations, assets, employees and, more broadly, the local communities they serve. While responder agencies rely on many different sources for information on the status of natural disasters, they continue to face challenges in finding timely, relevant and accurate information to inform their disaster response plans -- in real time and at scale. What if there was a better way for the emergency responders to stay informed of breaking events? During a disaster, those impacted often turn to their mobile phones for information and as a lifeline to the outside world. In addition to using social media to request help, victims also share updates, pictures and videos of live developments at their locations.
The rise of cloud computing has been one of the defining trends of the past ten years – and it is projected to keep growing rapidly in the next ten. But in the meantime, the explosion of the Internet of Things (IoT) will redefine the way data is created and processed – so much so that, by 2025, 80% of our data will actually be processed outside of the cloud and data centers, compared to 20% today. To understand this, we need to get back in time a little. In the past ten years, cloud computing has taken the IT world by storm. It has become a part of our daily lives, both personal and professional.
We've been working with the world's top media companies to automatically tag their video assets for discoverability and higher engagement. They rely on us to extract not only what appears or is mentioned, but most importantly what is relevant about their content in order to really understand it. This level of understanding is how we outperform even the tech giants when it comes to content metadata. When building a system for real-time scenarios such as live streaming, our partners were very clear that it wasn't just about speed but also quality; real-time understanding, not tagging. So over the past few months, we've been redesigning our solution with this goal: reducing as much latency as possible while keeping our core focus on relevancy.
This article is part 3 of a 4 part series, sponsored by Genesys. Blending artificial intelligence (AI) and machine learning (ML) tools with human contact center agents can help you deliver the best possible customer experience. But getting started with AI and ML can feel like a daunting challenge, especially if your company relies on customer support tools developed years ago. As with any technology transition, begin by asking key questions to help you identify goals and desired outcomes. What does the solution do?
A customer-centric approach, real-time data integration, cost optimization, and advanced security are those topmost needs of the present times financial sector which is emulating the business dynamics of FinTech companies. The word'FinTech' is synonymous with innovations, convenience, and high accessibility in the world of finance. Equipped with Artificial Intelligence (AI), the principal purpose of the majority FinTechs is financial inclusion – enabling the masses to get benefits from the mainstream financial system. With the advent of AI in the financial sector, hindrances and complexities that people used to experience in availing the financial services of banks and NBFCs do not exist today. Thanks to the new breed of tech-oriented financial institutions and AI technology that have empowered the masses with easy and cost-effective financial solutions.
The European Commission's Joint Research Center is working on a tool that could use tweets and artificial intelligence to collect real-time data on floods. In a paper released on Arvix.org, EU scientists explain how their Social Media for Flood Risk (SMFR) prototype could help emergency responders better understand what's happening on the ground in flooded areas and determine what trouble spots might need immediate attention. The tool works in collaboration with Europe's Flood Awareness System (EFAS). When EFAS identifies areas with heightened flood risks, it triggers SMFR to begin collecting flood-related tweets from users in those areas.
However, disruptive new trends are likely to emerge over the next few years that will pave the way for a complete overhaul in the way we view and interact with our world. Sensor data is a core component of IoT's success, but most sensors in use today monitor machinery or tech infrastructure. In the coming year, employees can be expected to interact more with IoT technology as it monitors them. Performance management software has long played a role in the workplace, and the IoT can enable more comprehensive data gathering and better analysis of employee performance. This will inevitably drive an increase in discussion about which types of employee monitoring are optimal and ethical; is the added stress that comes with increased monitoring worth the analytics provided?
AI has created a great impact on human interaction with machines & devices. AI is a short form of Artificial Intelligence. AI has become a great inspirational source of an interaction of the human with machines and devices. AI has improved the customers experience greatly in every aspect, whether it is Travel, Utility, Advertisement, Machinery or Telecom industry. Talking more about AI it is more than a smart technology.
Last year Ford brought on the startup Autonomic to create the Transportation Mobility Cloud, or TMC, to build "smart" car applications for real-time data and connectivity in cars. On Tuesday, Ford announced Amazon Web Services will power the cloud-based platform. The platform has since been available for all car makers, not just Ford. It creates a space for services and apps, like those used for parking, real-time traffic information, and in-car payment options. Think of it like the Apple App Store, but with apps and services made solely for the car.
Irish agtech company Cainthus uses vision technology to improve dairy herd management. Ireland's multi-generations of dairy farmers know a thing or two about raising dairy cows. Its more than 18,000 dairy farmers tend 1.4 million animals and are recognized globally for productivity and quality. So, it's no surprise that an Irish agtech company called Cainthus would invent a way to use artificial intelligence--the same technology developed for terrorist detection of humans--to manage dairy cows. At its simplest, Cainthus' technology has been described as facial recognition for cows, but Cainthus CEO Aidan Connolly explains that it is actually much more.