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) …
In his session at 21st Cloud Expo, Carl J. Levine, Senior Technical Evangelist for NS1, will objectively discuss how DNS is used to solve Digital Transformation challenges in large SaaS applications, CDNs, AdTech platforms, and other demanding use cases. Speaker Bio Carl J. Levine is the Senior Technical Evangelist for NS1. A veteran of the Internet Infrastructure space, he has over a decade of experience with startups, networking protocols and Internet infrastructure, combined with the unique ability to iterate use cases, bring understanding to those seeking to explore complicated technical concepts and increase revenue across diverse sales channels. CloudExpo DXWorldEXPO have announced the conference tracks for Cloud Expo 2018, introducing DXWorldEXPO. DXWordEXPO, colocated with Cloud Expo will be held June 5-7, 2018, at the Javits Center in New York City, and November 6-8, 2018, at the Santa Clara Convention Center, Santa Clara, CA.
When it comes to disruptive technologies that will drive businesses in the coming years, Artificial Intelligence (AI) is touted as the most promising and Indian enterprises across the spectrum began embracing it to enhance real-time user experiences. Picking up the pace globally, AI gradually cemented its position as the technology is quite transverse and perceived as less gimmicky, impacting several functions to improve productivity and business results, says Thomas Husson, Vice President and Principal Analyst, Forrester. From flushing out fake and terror-related content to making sense of humongous data for self-driving cars, from helping identify when someone might be expressing thoughts of suicide on Facebook to empower NASA explore space communications, AI-based tools gained a definite momentum. Microsoft pledged $50 million over the next five years to put AI technology in the hands of those who are working to mitigate climate change. When it comes to India, AI started playing a significant role in not just developing smart devices but in improving engagement with end-consumers -- be it government or corporates.
Since its creation, artificial intelligence (AI) has found use in many different industries, including healthcare. The amount of medical data is astronomically huge and the problem of systematizing, storing, and, above all, using such data is of the utmost importance. People have long hoped that someday, computers will make accurate diagnoses and eliminate medical errors. But no one has created an effective AI doctor yet. The Skychain project promises to revolutionize the healthcare industry, using AI and blockchain technology.
Whether financial institutions are looking for improved customer service, risk management, fraud prevention, investment prediction or cybersecurity, the scopes of machine learning and artificial intelligence are limitless. In the modern era of the digital economy, technological advancements are no longer a luxury for the organizations, but a necessity to outsmart their competitors and business growth. With the technological advancements in the recent times, the impact of Machine Learning (ML) and Artificial Intelligence (AI) are very critical than ever before. Previously, we discussed the scopes of big data and data science in banking and financial services. In this article will explain in detail about ML and AI, and their scopes in banking and financial services.
EXCLUSIVE – Financial crime detecting platform QuantaVerse has added a new AI-based service to allow its financial institutions and banking clients better detect fraud and other crimes through audit investigations, as these crimes continue to be a major concern for banks and non-banks alike. The new CAE (Chief Audit Executive) Checkup service unveiled today uses the startup's AI Financial Crime Platform to analyze data and detect insider threats, bribery, corruption, money laundering, fraud, terrorism financing, and third-party risks. This can be done without having the audit team manual create models and study samples for anomalies to catch financial misbehavior. "With this new technology, audit departments can look at the entire transaction history of the year to spot anomalies," David McLaughlin, CEO and founder of QuantaVerse, told Bank Innovation. "That not only reduces risks, but also saves these internal audit teams resources and time."
Before scientists can effectively capture and deploy fusion energy, they must learn to predict major disruptions that can halt fusion reactions and damage the walls of doughnut-shaped fusion devices called tokamaks. Today, researchers at the U.S. Department of Energy's Princeton Plasma Physics Laboratory (PPPL) and Princeton University are employing artificial intelligence to improve predictive capability....
Financial markets play a vital role in today's economic framework, enabling companies to access the necessary capital to expand. They also allow investors to safeguard the value of their savings by hedging against economic outcomes. But the way markets are changing makes them look drastically different than they did even 10 years ago. Between the rise of Fintech, high frequency trading and artificial intelligence (AI), the world of finance has changed greatly. Also factors in these changes are the increased concentration of the world's capital in the hands of a select few banks and funds, making finance increasingly abstract from most people's daily lives.
Generative models create data similiar to what they trained on Training these models is very hard One approach is using Generative Adversarial Networks (GANs) Facebook's Yann LeCun considers them "the most interesting idea in the last 10 years in ML" What are the differences between Discrimitive and Generative models? A discriminative model learns a function that maps the input data (x) to some desired output class label (y). In probabilistic terms, they directly learn the conditional distribution P(y x) A generative model tries to learn the joint probability of the input data and labels simultaneously, i.e. Facebook's Yann LeCun considers them "the most interesting idea in the last 10 years in ML" What are the differences between Discrimitive and Generative models? A discriminative model learns a function that maps the input data (x) to some desired output class label (y).
Artificial intelligence is gradually taking over various aspects of human life, and no matter how well-intentioned the creators of these highly intelligent machines have been, they continue to elicit mixed feelings from different people. While some are of the opinion that artificial intelligence shouldn't exist in the first place, others have received it with open hands because of the numerous advantages they offer man. Artificial intelligence should not be viewed only from the robotic aspect that some see it to be but should be considered with a broader mind with emphasis on how much it has eased humanity's ways of doing things. While some narrow artificial intelligence is designed to carry out small tasks like car driving, facial recognition, speech recognition or internet search, the artificial general intelligence (AGI) can perform broader and multiple cognitive functions. According to Forbes, some great examples of areas where artificial intelligence are being used include voice-powered personal assistants (such as Alexa and Siri), self-driving cars that are powered autonomously, suggestive searches, behavioral algorithms, and the rest.
Today, we're pleased to announce the private preview of a new AI-powered project from Microsoft's Healthcare NExT initiative which is designed to enable our healthcare partners to easily create intelligent and compliant healthcare virtual assistants and chatbots. These bots are powered by cognitive services and enriched with authoritative medical content, allowing our partners to empower their customers with self-service access to health information, with the goal of improving outcomes and reducing costs. So, if you're using a health bot built by one of our partners as part of our project, you can interact in a personal way, typing or talking in natural language and receiving information to help answer your health-related questions. Our partners, including Aurora Health Care, with 15 hospitals, over 150 clinics and 70 pharmacies throughout eastern Wisconsin and northern Illinois, Premera Blue Cross, the largest health plan in the Pacific Northwest, and UPMC, one of the largest integrated health care delivery networks in the United States, are working with us to build out bots that address a wide range of healthcare-specific questions and use cases. For instance, insurers can build bots that give their customers an easy way to look up the status of a claim and ask questions about benefits and services.