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The AI Index 2021 Annual Report

arXiv.org Artificial Intelligence

Welcome to the fourth edition of the AI Index Report. This year we significantly expanded the amount of data available in the report, worked with a broader set of external organizations to calibrate our data, and deepened our connections with the Stanford Institute for Human-Centered Artificial Intelligence (HAI). The AI Index Report tracks, collates, distills, and visualizes data related to artificial intelligence. Its mission is to provide unbiased, rigorously vetted, and globally sourced data for policymakers, researchers, executives, journalists, and the general public to develop intuitions about the complex field of AI. The report aims to be the most credible and authoritative source for data and insights about AI in the world.


Financial Institutions Benefit from AI, But Consumers Remain Skeptical

#artificialintelligence

There's no doubt that retail banking leaders understand the potential of artificial intelligence technology to improve customer experience. Nearly every one (94%) of more than 300 banking and insurance executives surveyed by The Capgemini Research Institute agreed that improving CX is the key objective behind launching new AI-enabled initiatives. In fact, more than half of the international sample say that at least 40% of customer interactions are already enabled by various AI applications, including conversational agents, prescriptive modeling, process automation, and complex analytics. That would be impressive -- except for one thing: Half of more than 5,000 consumers polled by Capgemini worldwide feel that the value they receive from AI-powered financial interactions was "non-existent or less than expected." What about in the U.S., the land of "Erica" and "Eno" and other digital assistants, and the many advanced mobile banking apps?


Financial Institutions Benefit from AI, But Consumers Remain Skeptical

#artificialintelligence

There's no doubt that retail banking leaders understand the potential of artificial intelligence technology to improve customer experience. Nearly every one (94%) of more than 300 banking and insurance executives surveyed by The Capgemini Research Institute agreed that improving CX is the key objective behind launching new AI-enabled initiatives. In fact, more than half of the international sample say that at least 40% of customer interactions are already enabled by various AI applications, including conversational agents, prescriptive modeling, process automation, and complex analytics. That would be impressive -- except for one thing: Half of more than 5,000 consumers polled by Capgemini worldwide feel that the value they receive from AI-powered financial interactions was "non-existent or less than expected." What about in the U.S., the land of "Erica" and "Eno" and other digital assistants, and the many advanced mobile banking apps?


Reimagining customer engagement for the AI bank of the future

#artificialintelligence

From instantaneous translation to conversational interfaces, artificial-intelligence (AI) technologies are making ever more evident impacts on our lives. This is particularly true in the financial-services sector, where challengers are already launching disruptive AI-powered innovations. To remain competitive, incumbent banks must become "AI first" in vision and execution, and as discussed in our previous article, 1 1. Suparna Biswas, Brant Carson, Violet Chung, Shwaitang Singh, and Renny Thomas, "AI-bank of the future: Can banks meet the AI challenge?," If fully integrated, these capabilities can strengthen engagement significantly, supporting customers' financial activities across diverse online and physical contexts with intelligent, highly personalized solutions delivered through an interface that is intuitive, seamless, and fast.


Replicant Raises $27 Million To Propel Its Voice AI For Customer Service Phone Calls

#artificialintelligence

On a rooftop in San Francisco, Replicant CEO Gadi Shamia signs the Series A term sheet with Scott ... [ ] Beechuk of Norwest Venture Partners, who joins the startup's board as part of the financing. Hundreds of millions of consumers use voice assistants such as Amazon Alexa or Apple's Siri for simple tasks in their daily lives. Now, one company wants to take talking bots to the next level: the highly conversational field of customer service. Replicant, named after Blade Runner's genetically engineering humans, is entering uncharted territory with its software that works as a combination between text-based chatbots and real-time AI assistants for customer service reps. On Thursday, the startup announced that it has raised a $27 million Series A funding round for its autonomous call center.


Five ways Artificial Intelligence is transforming finance

#artificialintelligence

Slowly but surely, AI is quietly impacting the world through numerous and varied applications. AI technology is already powering many everyday activities, from driving us to work to automatically adjusting the thermostat, and often without our knowledge. According to Gartner, 40 percent of major businesses will implement AI solutions in 2020, and more than half will double existing implementations in 2020. This forecast was made before the Covid-19 pandemic hit, but even with this taken into account the rise of AI will be exponential. In some industries AI, machine learning (ML) and deep neural networking (DNN) have a greater number of applications.


Banking's Interest in Conversational AI Jumps During COVID Lockdowns

#artificialintelligence

Plexiglass and human "traffic monitors" will go only so far to ease concerns of both consumers and employees about in-person banking while the COVID pandemic continues. Financial institutions are realizing that long-term adjustments will be required in how retail banking is conducted. This dramatic shift has sharply increased interest in various types of conversational banking, especially as a means to ease the pressure on call centers. Most often, conversational banking takes the form of chatbots powered by artificial intelligence. But it also includes voice-activated digital assistants such as Alexa, Google Assistant and Siri, used with a variety of devices including mobile phones and smart speakers.


A 20-Year Community Roadmap for Artificial Intelligence Research in the US

arXiv.org Artificial Intelligence

Decades of research in artificial intelligence (AI) have produced formidable technologies that are providing immense benefit to industry, government, and society. AI systems can now translate across multiple languages, identify objects in images and video, streamline manufacturing processes, and control cars. The deployment of AI systems has not only created a trillion-dollar industry that is projected to quadruple in three years, but has also exposed the need to make AI systems fair, explainable, trustworthy, and secure. Future AI systems will rightfully be expected to reason effectively about the world in which they (and people) operate, handling complex tasks and responsibilities effectively and ethically, engaging in meaningful communication, and improving their awareness through experience. Achieving the full potential of AI technologies poses research challenges that require a radical transformation of the AI research enterprise, facilitated by significant and sustained investment. These are the major recommendations of a recent community effort coordinated by the Computing Community Consortium and the Association for the Advancement of Artificial Intelligence to formulate a Roadmap for AI research and development over the next two decades.


30 Powerful Artificial Intelligence Examples you Need to Know

#artificialintelligence

Artificial Intelligence (AI) may look like something out of the pages of a sci-fi book, yet you'd be surprised how often you use it daily. As the technology continues to improve, AI will become even more common with more widespread utilization among diverse industries. To start with, let's begin with the basic definition of Artificial Intelligence (AI) and what it includes. Seeking Alpha gives a very apt description of the same in their article- At a basic level, artificial intelligence is the concept of machines accomplishing tasks which have historically required human intelligence. Applied AI: Machines designed to complete very specifics tasks like navigating a vehicle, trading stocks, or playing chess – as IBM's Deep Blue demonstrated in 1996 when it defeated chess grand master Gerry Kasparov. General AI: Machines designed to complete any task which would normally require human intervention. The broad nature of General AI requires machines to "learn" as they encounter new tasks or ...


CES 2019: Tech preview of the expo's hottest new gadgets

BBC News

The CES trade show is powering up again in Vegas. Most of the biggest names in tech and stacks of start-ups you've never heard of will compete for attention over the next week. Some products may launch new categories - past events presented a first look at video cassette recorders (VCRs), organic light-emitting diode (OLED) TVs and Android tablets. But many more will flop or never even make it to market. We've scoured the internet for hints about what will be on show... One of the biggest developments at the last few CES expos has been Amazon Alexa and Google Assistant's rival efforts to extend their reach in the home and beyond.