Dukaan CEO and founder Suumit Shah explains why he laid of 90% of his customer support staff after saying AI outperformed them. The real estate market might feel the shifts and impacts of artificial intelligence (AI). But when it comes to making perhaps the most significant purchase of one's life, homebuyers will want that human touch, experts told Fox News Digital. "I don't think it's going to replace how we necessarily do business and automate it, but I think it's going to enhance the amount of data that we have available," Pierre Debbas, co-managing partner of Rommer Debbas LLP, said. He argued it will allow Realtors to "provide the consumer with more accurate information and maybe a broader scope of data in making their decisions when buying a home." AI has already reshaped a number of industries, including the very industry that created it, leading to rapidly decreasing work opportunities and doomsday prophecies of no more tech jobs in five years.

Nvidia Corp stock has soared about 26 percent, taking it closer to a market value of $1 trillion after the chip designer's stellar revenue forecast showed that Wall Street has yet to price in the game-changing potential of artificial intelligence. Thursday's surge added to a more than two-fold rise in the stock this year and was set to increase Nvidia's value by about $196bn to nearly $951bn, putting it on course for the largest single-day value gain for a US firm. That market capitalization makes Nvidia twice the size of the second-largest chip firm, Taiwan's TSMC. In the United States, it trails only the trillion-dollar value companies Apple Inc, Alphabet Inc, Microsoft Corp and Amazon.com The rosy earnings also sparked a rally in the chip sector and for AI-focused firms, lifting stock markets from Japan to Europe.

Generative commonsense question answering (GenCQA) is a task of automatically generating a list of answers given a question. The answer list is required to cover all reasonable answers. This presents the considerable challenges of producing diverse answers and ranking them properly. Incorporating a variety of closely-related background knowledge into the encoding of questions enables the generation of different answers. Meanwhile, learning to distinguish positive answers from negative ones potentially enhances the probabilistic estimation of plausibility, and accordingly, the plausibility-based ranking. Therefore, we propose a Knowledge Enhancement and Plausibility Ranking (KEPR) approach grounded on the Generate-Then-Rank pipeline architecture. Specifically, we expand questions in terms of Wiktionary commonsense knowledge of keywords, and reformulate them with normalized patterns. Dense passage retrieval is utilized for capturing relevant knowledge, and different PLM-based (BART, GPT2 and T5) networks are used for generating answers. On the other hand, we develop an ELECTRA-based answer ranking model, where logistic regression is conducted during training, with the aim of approximating different levels of plausibility in a polar classification scenario. Extensive experiments on the benchmark ProtoQA show that KEPR obtains substantial improvements, compared to the strong baselines. Within the experimental models, the T5-based GenCQA with KEPR obtains the best performance, which is up to 60.91% at the primary canonical metric Inc@3. It outperforms the existing GenCQA models on the current leaderboard of ProtoQA.

The use of artificial intelligence (AI) in the insurance industry to improve the efficiency and accuracy of risk assessment and management. The insurance market is embracing the use of AI to enhance its operations and better serve its customers. From underwriting to claims processing, AI-powered solutions are being developed to streamline and automate various insurance processes. These solutions are expected to improve the accuracy and speed of risk assessment and management, leading to reduced costs and improved customer experiences. Drivers: Increasing adoption of digital technologies, rising demand for personalized insurance products, and the need to improve operational efficiency are some of the key drivers of the AI in insurance market.

In my last article, I explained how businesses need to differentiate between digital strategy, digitization and digitalization. The piece focused on how everyone uses the terms differently and, ultimately, how digitalization was really about thinking through how companies can best automate processes and practices in their organization. Case in point: Digitalization is converting an entirely or partially manual process to be entirely digital. This could involve automating workflows or processes. Digitization, on the other hand, is converting analog content to digital format.

SINGAPORE--Activision Blizzard Inc. said that NetEase Inc., its longtime partner in China, has refused its offer to extend a licensing partnership and that it is in talks with several videogame companies to find a new partner in the country. Blizzard Entertainment Inc., an Activision subsidiary, said Tuesday that it proposed to NetEase a six-month extension to the partnership that is set to expire next week. The licensing partnership has brought Blizzard's globally popular videogames such as "World of Warcraft," "Diablo III" and "Overwatch" to the Chinese market through NetEase.

As the complexity of customer churn grows, retention approaches are also evolving to tackle the churn risk and protect customer revenue--and AI can play an instrumental role in that. For many leading recurring revenue businesses, AI is transforming retention by leveraging customer data, advanced analytics and machine learning to extract actionable intelligence and drive multichannel retention actions. In this article, I will look at the five strategic enablers of an AI-powered customer retention transformation. Leveraging customer data properly can unlock valuable insights into your customers and enable you to personalize their experience, improving your relationship with them and increasing their likelihood to stay with you. However, the biggest barrier that companies often face while looking for data is that it is siloed.

Spry Squared is a Minority and Woman Owned Small Business headquartered in Denver, Colorado with offices across the United States of America. We are an experienced federal government and commercial service provider with security cleared personnel working on various projects across the USA and the globe. Spry Squared provides organizations with Best in Class Enterprise Solutions, Managed IT Services, Cybersecurity Solutions, IT Professional Services, Recruiting Services, Project/Program Management and technology products. We are your strategic partner and value-added reseller, solving complex business challenges by leveraging technology solutions that reduce costs, optimize productivity and minimize risk. The analyst will support the development and maintenance of reference data bases in support of critical kill-chain scenarios.

As tech world goes gaga for latest chatbot, remember Watson's AI fame and subsequent fallout before getting too excited about the possibilities for the latest machine-learning wunderkind ChatGPT is the latest product of artificial intelligence to take away Silicon Valley's breath (and venture-capital investments), but it is also yet another AI advancement that has not proved its ability to live up to a large valuation. ChatGPT debuted about a month ago, offering a chatbot that appears leagues ahead of its predecessors. OpenAI, the company that created ChatGPT, said that it is in a research preview, and that it is collecting data to train its so-called large-language model. Projects like ChatGPT can be astounding, as they seek to test the limits of technology and push them farther. However, excitement for technological promise does not always lead to big financial returns.

In this article, we discuss the future of artificial intelligence, including 10 predictions about 10 companies. The future of artificial intelligence (AI) is a topic of much speculation and debate. Some experts believe that AI has the potential to revolutionize many aspects of society and industry, while others are more cautious about its potential impact. The artificial intelligence sector is thriving across the globe. AI-enabled tools, like smarter chat-bots for customer service and robots for self-service at banks, are gaining traction in the mainstream.