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) …
Mumbai: The financial sector in India is driving investments into chatbots and artificial intelligence (AI) to augment customer service, but bankers are convinced that there would not be job losses as these new tools will only complement staff. When it comes to AI it is not upstarts but big guns of banking with resources, which are driving investments. State Bank of India (SBI) is working with IBM to make use of Watson -- an answering computer software to assist staff and employees. HDFC Bank has tied up with artificial intelligence firm Niki (funded by Ratan Tata and Ronnie Screwvala) to bring in conversational banking. Last week, Yes Bank partnered Payjo to launch AI-led digital initiatives.
Artificial intelligence is among the most fascinating ideas of our time. It has captured the imagination of visionaries, science fiction writers, engineers and wall street analysts alike. In fact, artificial intelligence is in many ways a catalyst for the data revolution – something that has disrupted every aspect of modern life. As with all new technologies, some are faster to embrace them, and others are much slower. Is automotive manufacturing one of the faster ones or would it be among the last?
The number of enterprises implementing artificial intelligence (AI) has grown 270 per cent over the past four years and has tripled in the past year alone. And as companies become more comfortable with using AI to analyse data, a growing number are turning to acquisitions to gain a data advantage. Google and Salesforce provide two recent examples of this strategy. In June, Google spent $2.6 billion to acquire Looker, a data discovery and analytics startup. Looker's goal was to be an end-to-end analytics platform, able to connect, collect, analyse and visualise data across various databases and applications.
GOTHENBURG, Sweden – Volvo Group Venture Capital has invested in California-based Apex.AI, a software developer in autonomous mobility, the company announced Thursday. The investment will fund the development of a safety-certified software framework for autonomous systems. Apex.AI is building an automotive-grade version of Robot Operating System, an established open source software framework commonly used in robotics and autonomous systems research. By providing a safer and more reliable version of ROS, Apex.AI enables companies to take their autonomous vehicle projects into production. "We are excited to invest in a company that enables easier development of safety-certified systems," says Anna Westerberg, acting CEO of Volvo Group Venture Capital and senior vice-president of Volvo Group Connected Solutions.
The battle for AI supremacy: Yet after years of threatening U.S. leadership in artificial intelligence, China is still lagging behind the U.S. in investment, innovation, and implementation of artificial intelligence (AI). Although America still ranks number one, a new study has placed China second in the world for the development and implementation of AI. China was followed by the United Kingdom, Canada, and Germany in the ranking. The rankings had France in sixth place, followed by Singapore, South Korea, Japan, and Ireland. European countries were prominent on the list, of the top-twenty nations, 11 were in Europe, 6 in Asia, two in North America, and one in Oceania.
The first Model Artificial Intelligence Governance Framework in Asia was released by Singapore in January this year, in collaboration with the World Economic Forum's Centre for the Fourth Industrial Revolution. AI, an emerging frontier in technology that allows technical systems to simulate human intelligence and behaviors, has vast applications in many fields. As part of its «Smart Nation» pursuits, Singapore launched its National Artificial Intelligence (AI) Strategy at the Singapore FinTech Festival and Singapore Week of Innovation and TeCHnology (SFF x SWITCH) conference. Within the next three years, AI-powered chatbots will become the first point of contact for residents to report issues with city services while marking systems in schools will soon be automated. Across the financial landscape, AI has also weaved itself into the workings of the industry.
But when you use that same speaker to make an online purchase, you may be less aware of the complex AI that is involved in the process of picking and packing that item in a warehouse and routing it for delivery to your doorstep. The world of business is full of similar use cases for complex AI, where the technology is transforming business performance. However, something that underpins all of these processes is the need for planning. For example, how did the aforementioned supplier know what the demand for their product was going to be in the first instance? This is where'intelligent planning' – the application of AI to business forecasting and planning processes – comes in; another example of complex AI.
Since 2018, marketing technology (MarTech) has seen year-on-year growth of 22 percent with estimated market size of $121.5 billion globally. Combined, the North American and UK MarTech market are worth $65.9 billion. As marketers vie for the attention of an increasingly fickle consumer, they've turned to more sophisticated MarTech tools. Marketers are using tech to focus on customer experiences regardless of the media platform. This paves the way for customer experience optimization and tracking, as echoed by WARC's study in which over half of respondents noted that customer experience optimization is a high priority for their organization.
Regulation of the powerful and fast growing Technology Industry is fast becoming a hot topic of concern for government due to its many impacts upon nations and societies, both good and bad. In order to better shape those issues involving technology, it is important understand two basic conceptions which are pillars in the current technology deployment: Algorithms and Artificial Intelligence (AI). The positive impacts of these technolgies are those related to the fact that technology can be very useful to help daily life. No one could deny that is easier and more comfortable being guided by algorithms and artificial Intelligence when we are driving, choosing prices and making shops. The negative aspects can be defined by the vulnerabilities that flow from the uses of these technologies.
Machine learning as a way of managing a portfolio is a "wave of the future" with a lot of sea to cover before it breaks on the shore. Meson Capital Partners has sent its investors an update and summary for 2019 Q3 regarding its managed market neutral fund, and this letter illustrates the forward motion of machine learning. Following a recent restructure, all Meson investments are now in liquid public securities. Management vows that any future illiquid investments will be confined to investment vehicles set up for such assets. Meson's liquid portfolio is about 70% managed by its machine-learning platform, Gravity Technologies.