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) …
– Big data helps to make strategy for future and understand user behaviors. In 1959, Arther Samuel gave very simple definition of Machine Learning as "a Field of study that gives computer the ability to learn without being explicitly programmed". Now almost after 58 years from then we still have not progressed much beyond this definition if we compare the progress we made in other areas from same time. The idea of FinTech adopting some best practices from the Big Data and AI (Artificial Intelligence, Machine Learning and Deep Learning) is not so new, have you heard of accepting selfie as authentication for your shopping bill payment, Siri on your iPhone etc. A Decentralized Autonomous Organization (DAO) is a process that manifests these characteristics. It's code that can own stuff. Self-driving car is an excellent example for this. What if you use blockchain to store the state of machine. The key move for blockchain-enabled thinking is that instead of having just one instance of a memory, there could be arbitrarily many copies of a memory, just as there can be many copies of any digital file.
Robotic process automation (RPA), a concept that has emerged over recent years, is still in a state of rapid evolution, existing without a clearly defined end-state or direction. As such, vendors are experimenting and pushing their products into uncharted waters - successfully or otherwise. Nonetheless, we can be sure that artificial intelligence and machine learning will continue to develop and impact on automation solutions as whole, even if at the moment these capabilities do not frequently exist within the RPA space. RPA is in fact most commonly used to emulate keystrokes; it runs through the application interface and its processes are defined using demonstrable steps - one of its selling points is that these rules do not require code and can be taught by a non-technical end-user. To put it simply, RPA manipulates existing software applications by imitating human behavior through rule-based tasks.
With IBM, Google, and Microsoft pouring funding into the research of quantum computing, it's really starting to look like we are going to see the benefits in the next 5 - 10 years. Google may be just weeks from announcing they reached the quantum supremacy milestone and IBM may not be far behind either. Today, I wanted to share my thoughts on how quantum computing may affect cryptography as we know it.
There is a war a-brewin', but this war will be fought with wits and not brute strength. Ever since Russian President Vladimir Putin's declaration that "the nation that leads in AI (Artificial Intelligence) will be the ruler of the world," the press and analysts have created hysteria regarding the ramifications of artificial intelligence on everything from public education to unemployment to healthcare to Skynet.
Earlier this week, Google's DeepMind team published a paper describing AlphaZero, a new generic reinforcement learning algorithm that has done some remarkable things. First, in about eight hours, it taught itself to beat AlphaGo, a human-trained AI system that beat the best human Go players in the world. It also taught itself chess and Shogi (known as Japanese chess) in about four hours and beat the best human-trained AI systems at those games.
A strange thing is happening along the way to the Internet of Things, namely far too many devices to work with and manage. It has become clear that we'll need much higher efficiency user experiences that can allow us to more easily and scalably work with the thousands of devices that will soon be in each of our lives. Enter the conversational interface revolution, combining bots we can literally talk with, gesture to, and even direct with our thoughts, with embedded artificial intelligence, which can process our conversational commands and orchestrate the outcomes we request across our personal and professional realm of connected devices. In his keynote at @ThingsExpo, Dion Hinchcliffe, Chief Strategy Officer at 7Summits, discussed how far from being part of the near future, "conversational things" is arriving now and explored with real-world examples. Dion is also a widely read ZDNet columnist and co-author of Social Business by Design (John Wiley & Sons) and Web 2.0 Architectures (O'Reilly).
Mobile device usage has increased exponentially during the past several years, as consumers rely on handhelds for everything from news and weather to banking and purchases. What can we expect in the next few years? The way in which we interact with our devices will fundamentally change, as businesses leverage Artificial Intelligence. We already see this taking shape as businesses leverage AI for cost savings and customer responsiveness. This trend will continue, as AI is used for more sophisticated patterns, and chatbots replace the traditional mobile apps.
More investors are setting their sights on the financial technology (Fintech) arena. According to consulting firm Accenture, investment in Fintech firms rose by 10 percent worldwide to the tune of $23.2 billion in 2016. China is leading the charge after securing $10 billion in investments in 55 deals which account for 90 percent of investments in Asia-Pacific. The US came second taking in $6.2 billion in funding. Europe, also saw an 11 percent increase in deals despite Britain seeing a decrease in funding due to the uncertainty from the Brexit vote.
Artificial Intelligence is the future of growth. There is sure to be at least one article in the newspaper/internet/blogs daily on the revolutionary advancements made in the field of Artificial Intelligence or its subfield disrupting standard industries like Fintech, Banking, Law, or any other. In banking domain digital banking teams of all modern banks planning to transform the customer experience with their AI based chat-driven intelligent virtual assistant i.e. bots. AI promises benefits, but also poses urgent challenges (not threats, please make a note) that cut across almost all industries and business be it of any nature, i.e software development, technical support, customer care, medicines, law domain or factory / manufacturing work. The need of the hour is to upgrade our skill sets to exploit AI rather than compete with it.