The AI Revolution - Oregon Realtors - Aaron Stelle WFG Title

This document discusses generative AI, including what it is, how it works, challenges, and potential business uses. Some key points: - Generative AI can automatically generate new text, images, videos and other content based on training data, rather than just categorizing data like other machine learning. - It uses large language models trained on vast datasets to generate human-like responses to prompts. While this allows for many potential business uses, challenges include lack of transparency, privacy/security issues, and the risk of factual inaccuracies. - Generative AI could be used by businesses for tasks like document processing, writing code, augmenting human work, and creating marketing content. Industries like insurance, legal,

Artificial Intelligence may be a buzzword now, but it’s not a new term. It was coined in 1956 by Minsky and McCarthy. Even though their effort to bring AI into the world’s attention failed, scientists and innovators started researching and developing machines that would mimic humans. In a nutshell;

The document discusses how artificial intelligence is transforming businesses and humanity. It provides an overview of how AI is being applied in various areas like marketing, supply chain management, manufacturing, and customer service to create significant economic value. Case studies are presented on how AI has added value to businesses and how every brand is becoming more conversational. The future of AI companies is discussed, noting they have different scaling and business models than traditional software companies and involve continued human support of AI systems. The document emphasizes the huge opportunities but also risks of AI for humanity.

We created a sketch book with AI to illustrate what you can do with AI. It is an souvenir for the start of a brand new era in IT.

My name is R. Sai Shankar. In here, I'm publish a small PowerPoint Presentation on Artificial Intelligence. Here is the link for my YouTube Channel "Learn AI With Shankar". Please Like Share Subscribe. Thank you. https://youtu.be/3N5C99sb-gc

Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.

Artificial intelligence (AI) is a branch of computer science concerned with building intelligent machines that can perform tasks requiring human intelligence. AI is advancing rapidly through machine learning and deep learning techniques. Developers use AI to automate tasks and solve problems. AI systems can learn with or without human supervision. While strong AI that matches human intelligence does not yet exist, weak AI is used for applications like smart assistants, self-driving cars, and spam filters. The future of AI is uncertain but it has potential to transform many industries through automation and improved decision making. Challenges include the costs of development and potential job disruption.

The presentation was made in “Web3 Fusion: Embracing AI and Beyond” is more than a conference; it's a journey into the heart of digital transformation. The conference a provided a platform where the future of technology meets practical application. This three-day hybrid event, set in the heart of innovation, served as a gateway to the latest trends and transformative discussions in AI, Blockchain, IoT, AR/VR, and their collective impact on the information space.

Unit 1 of the document introduces artificial intelligence and machine learning. It discusses how AI solves real-world problems by simulating human intelligence and modeling problem-solving processes. It also covers machine learning models like supervised, unsupervised, and reinforcement learning. Additionally, it introduces popular Python libraries for artificial intelligence like NumPy, Pandas, scikit-learn, and TensorFlow. The role of Python in AI is also discussed along with Anaconda and how to install Python libraries.

The document discusses artificial intelligence (AI) and intelligent systems. It defines AI as creating machines that can think and act like humans by learning, reasoning, and problem-solving. It discusses early work in AI from the 1940s-1950s and provides examples of current applications of AI such as self-driving cars, virtual assistants, robots, and more. The document also covers the goals, advantages, and disadvantages of AI as well as its use in domains including healthcare, gaming, transportation, and others.

What Is Artificial Intelligence,How It Is Used in now days and what is Its Future that help the humans also contain full history of artificial intelligence.

The document discusses various topics related to artificial intelligence including large language models, chatbots, AI-generated images and videos, deepfakes, and the impact of AI on jobs and society. It poses questions about people's awareness and perceptions of AI, the capabilities of ChatGPT and other AI systems, potential issues around students using AI for schoolwork, risks of AI-generated media, and whether AI could render jobs or education obsolete. The document aims to have an open discussion on both the opportunities and challenges of advancing artificial intelligence technologies.

Artificial intelligence is being applied in many areas of daily life such as smartphones, social media, music/media streaming, video games, smart homes, security/surveillance, keyboards/apps, healthcare, e-commerce, email, vehicles, drones, banking/finance, online ads, and navigation/travel. Some key applications include personal assistants, recommendations, automation, detection/diagnosis, fraud prevention, translations, and customized experiences based on individual users. AI is already widely used and its applications continue to expand across more industries and services.

Author: Francesca Rossi EN Policy Department C: Citizens' Rights and Constitutional Affairs European Parliament PE 571.380 Artificial Intelligence: Potential Benefits and Ethical Considerations KEY FINDINGS  The ability of AI systems to transform vast amounts of complex, ambiguous information into insight has the potential to reveal long-held secrets and help solve some of the world’s most enduring problems.  However, like all powerful technologies, great care must be taken in its development and deployment. To reap the societal benefits of AI systems, we will first need to trust them and make sure that they follow the same ethical principles, moral values, professional codes, and social norms that we humans would follow in the same scenario. Research and educational efforts, as well as carefully designed regulations, must be put in place to achieve this goal.  International Business Machines Corporation (IBM) is actively engaged, both internally as well as with its collaborators and competitors, in global discussions about how to make AI ethical and as beneficial as possible for people as society. 1. WHAT IS ARTIFICIAL INTELLIGENCE? The term “artificial intelligence” (AI) has been mentioned for the first time in 1956 by John McCarthy during a conference where several scientists decided to meet to see if machines could be made intelligent. Since then, AI is usually defined as the capability of a computer program to perform tasks or reasoning processes that we usually associate to intelligence in a human being. Often it has to do with the ability to make a good decision even when there is uncertainty or vagueness, or too much information to handle. As an example, playing chess well, or some complex card games, is believed to need some form of intelligence in a human being, as well as choosing the best diagnosis in a difficult medical case, or creating something new, such as a mathematical theorem or even some form of art, or even driving a car in the middle of a crowded city. It is clear that this is a strange definition, because it depends on what we consider being intelligent in the behaviour of a human being at a certain point in time. If our belief about human intelligence changes, and we don't believe any longer that a certain task requires intelligence, then a computer program performing that task is no longer part of AI, it becomes just another boring computer program. The term “artificial intelligence” brings to mind to the notion of replacing human intelligence with something synthetic. At IBM, we prefer the term “augmented intelligence”. This means that we aim to build systems that enhance and scale human expertise and skills rather than replacing them. We therefore focus on practical applications of discrete AI capabilities that assist people in performing well-defined tasks, by exploiting a wide range of AI-based services. We also use th ...

What is artificial intelligence? Although many definitions of artificial intelligence (AI) have emerged over the past few decades, John McCarthy provided the following definition in this 2004 paper (link is located outside ibm.com): MASU. Especially intelligent computer programs. It deals with the same task of using computers to understand human intelligence, but AI does not need to be limited to biologically observable methods. Definition of artificial intelligence Artificial intelligence is the imitation of human intelligence processes by machines, especially computer systems. Typical applications of AI include expert systems, natural language processing, speech recognition, and machine vision. How does artificial intelligence (AI) work? As the hype around AI grows, vendors are making efforts to promote how AI is used in their products and services. Often, what they call AI is just a component of technologies like machine learning. AI requires specialized hardware and software infrastructure to write and train machine learning algorithms. Although no single programming language is synonymous with AI, Python, R, Java, C++, and Julia have features that are popular among AI developers. Generally, AI systems work by ingesting large amounts of labeled training data, analyzing correlations and patterns in the data, and using these patterns to predict future situations. This way, given examples of text, chatbots can learn to generate authentic-like conversations with people. Image recognition tools can also learn to recognize and describe objects in images by considering millions of examples. New and rapidly advancing generic AI technology allows you to create realistic text, images, music, and other media. Artificial intelligence programming focuses on cognitive skills such as: • Learn: This aspect of AI programming focuses on taking data and creating rules to turn it into actionable information. Rules, called algorithms, provide step-by-step instructions for computing devices to accomplish a particular task. • Logic. This aspect of AI programming focuses on selecting the appropriate algorithm to achieve the desired result. • Self-correction: This aspect of AI programming is designed to continuously improve the algorithms and provide the most accurate results possible. • Creativity. This aspect of AI uses neural networks, rule-based systems, statistical methods, and other AI techniques to generate new images, new text, new music, and new ideas. Differences between AI, machine learning and deep learning AI, machine learning, and deep learning are common terms in enterprise IT, especially when companies use them interchangeably in marketing materials. But there are differences too. The term AI was coined in the 1950s and refers to the emulation of human intelligence by machines. A constantly changing set of capabilities is incorporated as new technologies are developed. Technologies falling under the umbrella of AI include machine learning and deep lea

Artificial intelligence (AI) is the simulation of human intelligence processes by machines, especially computer systems. Specific applications of AI include expert systems, natural language processing, speech recognition and machine vision. AI works by ingesting large amounts of labeled training data to analyze patterns and correlations and use these to make predictions. New AI techniques can generate realistic text, images, music and other media. The four main types of AI are reactive machines, those with limited memory, theory of mind, and self-awareness. AI is incorporated into automation, machine learning, machine vision, natural language processing, robotics, self-driving cars, and text, image and audio generation.

This document provides an introduction to artificial intelligence, including: - Defining AI as the ability of computers to perform tasks normally requiring human intelligence. - Discussing some of the founding figures and early development of AI from the 1950s onward. - Describing common applications of AI in daily life, such as smartphones, social media, music streaming, video games, smart homes, security, healthcare, e-commerce, and more. - Noting that AI is still developing and its full potential is not yet realized across all sectors.

In this presentation Aaron Stelle, VP of Marketing and Technology for WFG National Title talks about 6 campaigns that can help you keep in touch with your clients, reach out to potential buyers and sellers, to sell more real estate.

Zonda’s Chief Economist will decode the latest data on the housing market, deep-dive into the regional differences, and parse out the varying market views of today’s buyers and sellers.

Clayton Collins is the founder and CEO of HW Media. He leads HW Media’s corporate strategy and content roadmap, while building a world-class team of business media professionals. He is also managing partner of Riomar Capital, an entrepreneurial investment firm that acquired HousingWire in 2016. Prior to founding Riomar Capital, Collins worked at RBC Capital Markets in the mergers and acquisitions group and served as vice president of national sales and marketing at Citibank. Collins holds a degree in business administration from Elon University and completed his MBA at The Fuqua School of Business at Duke University.

Harness your potential, leverage positive thinking and implement strategic approaches to maximize your commission. Join us for an enlightening and inspiring presentation that will revolutionize your perspective, elevate your earning potential, and ultimately increase your income.

Building on the presentation from last year (Hard-won Lessons from the Beer Trenches), this year’s keynote opts to dive deeper into the tactical measures of building a brand in a tough market. Using my recent experience building the brand at Boneyard Beer, I’ll offer tactical advice, measure and frameworks we use (and are using) in the beer industry to craft brands that stand out in a sea of sameness.

"Brands in a no-branding environment - the example of wine." Still wines typically are not brands (as opposed to Champagne, for instance), and in fact, consumers tend to be suspicious of fine wines that seem too marketed - for wines carry this mystique of the land, small production, connoisseurship, and rarity. In an increasingly cluttered environment, how can a fine wine brand emerge?

Nobody wakes up in the morning aiming for a setback. Yet setbacks and failures are impossible to avoid; Interest rates are high, no buyers, media is not accurate. You don’t sell! Can you relate? Setbacks are real and scary, and they affect not only our productivity but our relationships and even our wellness. How can you not only bounce back after a setback but continue to thrive? Dynamic Oy to Joy keynote speaker, Dorice Horenstein will share her original presentation and will provide you with the steps to be wholeheartedly resilient so your cup is not only full but overflowing with strength!

In this presentation, Aaron Stelle with WFG National Title, talks about the words and psychology you can use to get your real estate clients to take action. This includes ways to get their attention, build authority, and sound different.

In this presentation, Aaron Stelle, VP of Marketing and Technology at WFG National Title, will discuss creating authority through content and value. This will be done by showing how consumer behavior and beliefs have changed, how to create messaging that reaches your clients, and systems to become an authority in your craft. This presentation will include tips, tools, and blueprints to accomplish both of these goals.

Here are 3 campaigns that can be used today to get more listings: 1. The Market Update campaign uses local market data to show sellers how their home value has increased and convince them to list with an agent who can maximize their profits. 2. The Interstate Shuffle campaign targets homeowners who have recently moved to the area from out of state by welcoming them and pitching listing services to help them acclimate to the local market. 3. The Homebot/Home Value campaign utilizes automated valuation tools to generate up-to-date CMAs and property reports that agents can use to initiate listing conversations with homeowners and build trust in their pricing assessments.

In this presentation, Aaron Stelle, VP of Marketing and Technology for WFG National Title, goes through his 5 campaigns to get real estate listings now. This includes real world templates, examples, and tangible takeaways to help real estate professionals.

In this presentation Aaron Stelle VP of Marketing and Technology teams up with Matt Sandler, VP Oregon State Council for WFG National Title to discuss using cryptocurrency for real estate. This covers everything from an introduction to crypto, to ways the transactions can be completed to tax implications.

In this presentation Pat Stone, Founder and Chairman of Williston Financial Group and WFG National Title, will give his Economic Forecast for both the USA and the Portland Metro Area for 2022.

In this presentation, Aaron Stelle with WEST, a Williston Financial Group Company, goes over 5 campaigns to get more real estate listings. This will include ways to reach out to your database, as well as run ads.

In this presentation, Aaron Stelle with WEST, a Williston Financial Group Company will walk you through an 8 step process on how he would set up his real estate business. Whether you are new, or have been in the business for years, he will show you the tools and strategies to create a sustainable business in 2021.

In this presentation, Aaron Stelle with WEST, a Williston Financial Group Company will walk you through an 8 step process on how he would set up his real estate business. Whether you are new, or have been in the business for years, he will show you the tools and strategies to create a sustainable business in 2021.

In this presentation Aaron Stelle with WEST, a Williston Financial Group Company, talks about how to change verbiage in order to have more impact with our marketing.

This document summarizes the housing market and broader economic conditions in the Portland metro area. It finds that while housing demand remained strong through 2020, supported by low interest rates and pent-up demand, the market faces risks from potential job losses, rising interest rates, and the eventual impact of mortgage forbearance programs ending. The recovery is also expected to be uneven across different geographic areas, housing types, and industries. Overall, the market may remain undersupplied for 12-18 months but volatility is expected to return as the economic impacts of the pandemic continue to unfold.

In this presentation, Pat Stone with Williston Financial Group gives his National Economic Forecast for 2021. He will go over the changes he is seeing in the real estate market, and also how the current economic and political climate will affect the next year.

In this presentation, Aaron Stelle with WEST, a Williston Financial Group Company, talks about the trends he's seeing in 2020 for both social media and digital marketing. In addition to first hand experience he also pulls from the Tom Ferry Virtual Summit and discusses what real estate brokers across the country are doing through their coaching program. The topics include content buckets, pro tips, and tools to make it happen.

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