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Will Voice AI be useful in the Real Estate industry?

Introduction

The rapid advancement of AI has revolutionized various industries, offering innovative solutions and streamlining processes. This transformative technology has significantly impacted voice technology, opening up new possibilities and applications.

Regarding Real Estate, many agents spend their weekends and evenings working, which is why their phones can go unanswered during those times, agents are busy. This is an obvious gap where AI could help Real Estate agents qualify buyers + help sellers fill the top of the funnel without frustrating the customer.

Artificial Intelligence (AI)

Artificial Intelligence (AI) refers to the simulation of human intelligence processes by machines, including learning, reasoning, and self-correction. It plays a pivotal role in automating tasks, analyzing data, and providing insights for informed decision-making across diverse sectors.

Voice Technology

Voice technology encompasses a wide range of applications, from virtual assistants like Siri and Alexa to voice-activated devices and speech recognition software. Its seamless integration into daily life has transformed the way individuals interact with technology.

The Connection between AI and Voice Technology

AI serves as the driving force behind the evolution of voice technology, enhancing its capabilities and expanding its potential in various domains such as customer service, productivity enhancement, and real estate operations. The synergy between AI and voice technology continues to redefine user experiences and operational efficiency across industries.

By understanding how AI and voice technology work together, we can gain valuable insights into their combined ability to shape the future landscape of various sectors.

The Role of AI in Shaping the Future of Voice Technology

Voice AI, also known as AI voice technology, is changing the way we use technology and is becoming more and more important in our daily lives. This section will look at how Voice AI has developed and why it’s so significant, as well as its effect on customer experience and productivity.

Exploring the development and significance of Voice AI

Voice AI has come a long way since it was first introduced. It started with basic voice recognition systems that had difficulty understanding human speech accurately, but now we have advanced algorithms that can process natural language with great accuracy. Voice AI has also become more accessible to the general public, with popular voice assistants like Siri, Alexa, and Google Assistant being widely used.

The significance of Voice AI lies in its ability to offer a more natural and easy way of interacting with devices and services. Instead of typing on a keyboard or tapping on a screen, users can simply speak commands or ask questions to get what they need. This seamless interaction makes things more convenient for everyone.

Enhancing Customer Experience with AI Receptionists

One area where Voice AI is making a big difference is customer service. Many businesses are using AI receptionists powered by Voice AI technology to handle customer inquiries, provide information, and even assist with basic transactions. These virtual receptionists are available 24/7, respond instantly, and offer consistent service.

By using Voice AI, businesses can improve their customer experience by providing personalized interactions that feel like talking to a real person. For example, an AI receptionist can greet customers by name, answer common questions, give product suggestions based on preferences, and even schedule appointments. This level of personalization not only makes customers happier but also helps businesses save time and money by reducing the need for human workers in repetitive tasks.

Boosting Productivity with AI Assistants

Voice AI isn’t just useful for customer service – it can also help us be more productive. AI assistants powered by Voice AI technology can handle many different tasks, such as setting reminders, managing schedules, doing research, and analyzing data. These assistants work like virtual personal assistants, making it easier for us to stay organized, automate routine tasks, and get information without using our hands.

For professionals in various industries, like real estate agents, having an AI assistant can be a game-changer. They can use voice commands to quickly find property information, schedule appointments, communicate with clients, and manage their daily tasks more efficiently. With the ability to do multiple things at once and deal with complex questions, AI assistants let professionals focus on important work that requires human skills.

Voice AI is changing the future of voice technology by improving customer experience with AI receptionists and boosting productivity with AI assistants. As this technology gets better over time, we’ll see even more creative uses that will transform how we use voice-controlled devices and services.

AI’s Impact on the Real Estate Industry

AI has made significant strides in various industries, and the real estate sector is no exception. With the integration of AI technology, real estate organizations can streamline processes, enhance productivity, and improve customer experiences. Here are some key points to consider regarding AI’s impact on the real estate industry:

Analyzing the Use Cases of AI in Real Estate

AI offers numerous applications in real estate, revolutionizing the way properties are bought, sold, and managed. For instance:

  • Chatbots powered by AI can assist potential buyers in answering their queries and providing relevant property information.
  • AI-powered virtual tour platforms enable potential buyers to explore properties remotely, saving time and effort.
  • Predictive analytics algorithms can analyze market trends and predict property values, helping investors make informed decisions.

Predictions for the Future: AI’s Dominance in the Industry by 2024

Experts predict a significant surge in the reliance on AI technology within the real estate industry. By 2024:

  • AI is expected to play a crucial role in automating repetitive tasks such as paperwork, data entry, and lead generation.
  • Virtual assistants powered by AI will become commonplace, assisting real estate agents with scheduling appointments, managing client databases, and providing personalized recommendations.

Highlighting Keller Williams’ Innovation in the Form of an AI Virtual Assistant

Keller Williams, a prominent real estate company, has embraced AI technology to enhance its operations. Their AI virtual assistant named Kelle assists agents with various tasks such as market analysis, lead generation, and transaction management. Kelle leverages machine learning algorithms to provide tailored insights to agents, helping them make data-driven decisions.

AI’s impact on the real estate industry is undeniable. By leveraging AI for real estate purposes, organizations can improve efficiency, deliver exceptional customer experiences, and stay ahead of the competition.

Overcoming Challenges: The Path Ahead for Voice AI

Exploring the Potential and Limitations of Voice Technology in Real Estate

In the world of real estate, AI-powered voice technology has great potential to make processes more efficient and improve customer experiences. Real estate companies can use AI assistants to automate repetitive tasks, offer personalized property suggestions, and provide round-the-clock customer support. Voice AI can completely change how people search for properties by allowing them to have natural conversations, making it simpler for clients to find their dream homes.

However, we must also recognize the limitations of voice technology in real estate. Even with advancements in understanding human language and complex real estate queries, there are still challenges. While AI assistants can handle basic questions effectively, they may struggle with more detailed discussions or negotiations.

Addressing Controversies around AI-generated Vocals in the Music Industry

AI-generated vocals have both excited and caused controversy in the music industry. While AI technology makes it possible to create incredibly lifelike vocal performances, it also raises important questions about authenticity and artistic expression. Some artists see AI-generated vocals as a tool for exploring new creative possibilities, while others worry that it could diminish the value of human artistry. The debate over copyright surrounding AI-generated music is a significant aspect of this discussion.

In this ever-changing world of voice AI, overcoming these challenges will require careful thought and continuous innovation. Real estate companies need to understand the potential and limitations of voice technology while also considering ethical concerns. Likewise, the music industry is grappling with how to strike a balance between traditional artistry and technological progress. As both fields continue to develop, finding solutions to these challenges will be crucial in shaping the future of voice AI across various industries.

The Evolutionary Journey of AI Voice Assistants

Tracing the Advancements in Conversational AI from Chatbots to Voice Assistants like Siri and Alexa

The evolution of conversational AI has reached significant milestones, starting with the rise of AI-powered chatbots that laid the foundation for more sophisticated voice assistants. Chatbots initially provided basic automated responses to user queries, but their capabilities expanded rapidly with advancements in natural language processing and machine learning.

1. The Rise of Chatbots

  • Chatbots initially provided basic automated responses to user queries
  • Their capabilities expanded rapidly with advancements in natural language processing and machine learning

2. The Emergence of Advanced Language Models

Recent years have witnessed the emergence of advanced language models that have revolutionized voice AI. Models such as ChatGPT, Google Bard, and vimGPT have pushed the boundaries of conversational AI by enabling more human-like interactions and nuanced understanding of context.

This journey from rudimentary chatbots to highly advanced voice assistants highlights the remarkable progress in AI’s ability to understand and respond to human language, paving the way for a future where seamless human-machine communication becomes increasingly indistinguishable from human-human interaction.

Future Horizons: What Lies Ahead for AI In Real Estate

Examining Cutting-edge Research in the Field of Voice AI

Ishan Shah, a researcher at Carnegie Mellon University, has been making significant strides in the development of GPT-4V, an advanced version of the Generative Pre-trained Transformer (GPT) language model specifically tailored for voice applications in real estate. This cutting-edge research holds the potential to revolutionize how voice AI is utilized within the real estate industry. GPT-4V could enable more natural and contextually relevant interactions between AI systems and real estate clients, ultimately enhancing the overall customer experience.

Insights from Real Estate Industry Experts on the Future Trajectory of Voice AI

Real estate industry experts are increasingly recognizing the transformative potential of voice AI in shaping the future of their sector. With a focus on enhancing customer engagement and streamlining operations, voice AI is poised to become an indispensable tool for real estate professionals.

Apple’s director of AI research Ruslan Salakhutdinov’s perspective

Apple’s director of AI research, Ruslan Salakhutdinov, has been vocal about the pivotal role that voice AI will play in redefining how real estate organizations interact with clients and manage their internal processes.

Through continued innovation and collaboration with industry leaders, voice AI is set to unlock new opportunities and efficiencies within the real estate landscape.

Conclusion

AI has emerged as a catalyst for innovation in voice technology across various sectors. From customer experience enhancement to boosting productivity, AI has played a significant role in shaping the future of voice technology. As we have explored in this article, AI receptionists and assistants have revolutionized industries by providing seamless interactions and personalized experiences.

In the real estate industry, AI has enabled numerous advancements and use cases. With AI virtual assistants, real estate organizations can automate tasks, provide 24/7 support, and streamline operations. Snapsonic AI is a solution that empowers real estate organizations with its cutting-edge technology and comprehensive features.

Looking ahead, the future trajectory of voice AI holds immense potential. Researchers like Ishan Shah at Carnegie Mellon University are pushing the boundaries with projects like GPT-4V. Real estate industry experts, including Apple’s director of AI research Ruslan Salakhutdinov, provide valuable insights into the evolving landscape of voice AI.

As we move forward, it is crucial to address challenges and controversies surrounding voice technology. While there are limitations to overcome, the generative AI boom continues to drive innovation. Voice assistants like Siri and Alexa have evolved from simple chatbots to sophisticated language models.

AI remains at the forefront of voice technology innovation. Its impact on industries such as real estate is undeniable. To leverage the benefits of AI-powered voice technology, readers are encouraged to explore solutions like Snapsonic AI – Your Voice in Real Estate — a powerful tool for real estate organizations seeking to optimize their operations and enhance customer experiences.

“The future is not just about web browsing AI assistants or open-source software—it’s about creating seamless user experiences through AI-powered voice helpers.” – VisualWebArena

By embracing AI and its capabilities, organizations can unlock new possibilities and stay ahead in an increasingly competitive market.

Book a meeting with Snapsonic and discover how we can transform how your real estate organization integrates AI to win new business today!

AI automation predictions
AI Automation

AI Automation Predictions

Artificial Intelligence (AI) and its potential benefits for businesses are becoming a hot topic of discussion. One way to harness the power of AI is through automation, which allows organizations to leverage AI technology to automate repetitive tasks traditionally performed by humans. By combining machine learning, natural language processing, algorithms, and other AI methods, businesses can guide individuals in performing tasks or even automate them entirely.

In this article, we will explore how organizations can achieve the benefits of AI automation and the added value it can bring to their operations.

Cost Savings

One of the most significant advantages of AI automation is cost savings. By automating repetitive human tasks, organizations can reduce labor costs. Employees previously responsible for these tasks can be allocated to more valuable duties within the organization.

For example, let’s consider a scenario where a company needs to handle customer service calls related to their product. These calls may include questions about product warranties, how things work, feedback about online shopping, and more. In the past, an individual would review all these customer messages and route them to the appropriate department for a response.

With AI automation, these communications can be sent to an engine that searches for specific information, such as the keyword “warranty.” The messages can then be automatically routed to the correct department. This automation frees up employees who were previously responsible for this task to focus on higher-value activities.

By implementing AI automation, organizations can allocate resources more efficiently and effectively, leading to significant cost savings.

Scalability

Another benefit of AI automation is scalability. In any industry, there are fluctuations in the volume of work that needs to be processed. With AI automation, organizations can scale their operations to handle growing volumes or decreasing values without incurring significant additional costs or requiring a significant increase in resources.

This scalability becomes particularly valuable during periods of rapid growth or fluctuations in demand. With AI automation, businesses can handle increased volumes without the need to hire additional staff or invest in additional computing power. For example, in the case of a Property & Casualty (P&C) insurer dealing with a weather event or catastrophe, such as a tornado or flood, there will be a surge in claims volume. By automating certain repetitive tasks in the claims process, the company can handle the increased volume more efficiently and avoid the costs associated with hiring additional personnel.

Customer Service

AI automation can greatly enhance customer service by providing faster and more efficient support. Chatbots and virtual assistants can be deployed to quickly and accurately respond to customer inquiries and provide assistance. This eliminates the need for customers to navigate through complex phone menus or wait on hold to speak with a representative.

Chatbots and virtual assistants can also act as the first point of contact for customer inquiries. If the AI-powered agents are unable to address the customer’s needs, they can seamlessly transfer the conversation to a live customer service agent for further assistance.

By leveraging AI automation for customer service, organizations can significantly improve response times, enhance overall customer satisfaction, and streamline their support processes.

Increased Efficiency

Automation of repetitive tasks leads to increased efficiency in business processes. By eliminating manual tasks, organizations can reduce the time and effort required to complete entire processes. This not only improves productivity but also results in faster turnaround times for customers and cost savings.

Implementing AI automation allows organizations to address service level agreements (SLAs) and key performance indicators (KPIs) by increasing process efficiency. By analyzing performance metrics, organizations can identify areas for improvement and implement enhancements. This focus on continuous improvement can positively impact overall process performance.

Innovation

AI automation frees up human resources to focus on more creative and strategic initiatives. By automating routine tasks, organizations can allocate their employees’ time and energy towards driving innovation and competitive advantages. This enables companies to stay ahead in the marketplace and develop new and innovative solutions.

Reducing Errors

Human errors can be costly for businesses. AI automation can help reduce the risk of errors by minimizing human inaccuracies. By automating tasks, organizations can improve the quality and accuracy of their work, leading to higher customer satisfaction and increased confidence in the data being processed.

Data Analysis

Data analysis is a crucial aspect of business decision-making. AI algorithms excel at analyzing large amounts of data and extracting valuable insights. By leveraging AI automation, organizations can make better-informed decisions based on data-driven insights.

For example, a Michigan brewery looking to reduce costs and introduce new products can use AI to analyze customer data. By reviewing which beers are ordered most frequently and examining buyer demographics, seasonality, and beer types, the brewery can make informed decisions about which new beers to offer. This data analysis allows the brewery to align its product offerings with customer preferences, ultimately improving sales and customer satisfaction.

Data analysis can also help organizations identify bottlenecks or areas for improvement in their processes. By leveraging AI automation, businesses can streamline their operations and achieve greater efficiency.

Predictive Analytics

Building upon data analysis, organizations can use AI automation to make predictions about their business based on historical data and patterns. By analyzing data from various sources, such as business processes, website analytics, and customer data, organizations can make informed predictions and proactive decisions.

For instance, a pet adoption agency can analyze adoption trends and patterns to determine the most effective strategies for facilitating faster adoptions. By examining data on the types of pets adopted, their ages, and the language used in pet descriptions, the agency can optimize its adoption process. By using AI-powered predictive models and sentiment analysis, the agency can identify the most successful adoption strategies and implement them to increase adoptions.

Predictive analytics enables organizations to anticipate trends, make proactive decisions, and stay ahead of the competition.

Risk Management

AI automation plays a crucial role in risk management by identifying and controlling potential risks. By monitoring data for irregularities or anomalies, AI systems can detect patterns that may indicate fraudulent activities or other risks. This real-time monitoring allows organizations to address potential issues promptly and minimize their impact.

For example, in managing temporary assistance for needy individuals, AI automation can help verify the legitimacy of applicants. By identifying similarities in applications, such as the same address with different names or the same personal information with different identification cards, AI systems can flag suspicious applications for further review.

AI automation provides organizations with an effective tool for risk management and proactive risk mitigation.

Conclusion

AI automation offers numerous benefits to organizations across various industries. By leveraging AI technology to automate repetitive tasks, businesses can achieve cost savings, scalability, improved customer service, increased efficiency, innovation, reduced errors, data analysis, predictive analytics, and enhanced risk management.

To implement AI automation successfully, organizations should carefully plan and align their automation initiatives with their business goals and values. By identifying areas where efficiencies can be achieved and strategically implementing AI automation, businesses can unlock the full potential of AI to drive growth and competitive advantage.

Achieving the benefits of AI automation requires a thoughtful and strategic approach, but the rewards are well worth the effort. Embracing AI automation can position organizations for success in an increasingly digital and competitive landscape. So, start exploring AI automation opportunities for your organization and unlock its transformative power.

AI Agency Solutions, AI Agents, Ai Assistants, AI Automation, AI Consultancy

WebRTC in 2017

The road to the promised land.

For more than 6 years, we have been working on and looking forward to a simpler way to build RTC (Real Time Communications) applications on the web. In order for this technology to truly show its value, the major browser vendors needed to show up.

Now, it’s a reality!

Screen Shot 2017-06-12 at 5.07.26 PM

macOS SierraLeft: Safari Preview 32 (Safari 11.0, WebKit 12604.1.23.0.4) using H.264  Right: Chrome Version 58.0.3029.110 (64-bit). https://webrtc.github.io/samples/ using H.264

Mobile, mobile, mobile.

Now that Apple has joined the party in earnest, does the technology have the coverage required in order for developers to make good use of WebRTC on mobile devices? Let’s find out.

Until now, in order for WebRTC to work on iOS, we were relegated to wrapping WebRTC code in Objective-C and Swift, in our native iOS apps. Basically, we had to take the Chrome code and build an app that was sent to the app store for approval and wait in line, like all the other chumps (yours truly included). Conversely, on Android we could run much of that same code from our desktop Chrome apps, on the Android device as well, within reason of course.

Now that Safari and Chrome are shipping compatible WebRTC on mobile, we get to reuse the same code, right!? Well, mostly, they are different code bases, after all.

A word about hardware acceleration.

If ubiquitous mobile video is to take off, the battery life of the device has to last more than the length of the 10 minute video call (ok, I am exaggerating a bit, but I think you get the point) and the performance needs to be at least adequate enough to distinguish facial features. My bar is set a little higher, baby steps for now.

Without h/w acceleration the CPU is likely working too hard to encode the local video and decode the inbound video + service the other processes required at the same time. That really means there needs to be hardware onboard the device dedicated to video coding. That in turn means H.264, since there are very few vendors that offer VP8 or VP9 h/w acceleration.

Question: Does this mean that mobile apps written with VP8 will not be able to deliver decent mobile video conferencing?

Answer: No, not at all, but they will likely not be as performant as those taking advantage of hardware acceleration.

Suffice to say that SVC (Scalable Video Coding) usage would be another reason why we need h/w acceleration, but that’s for another day.

Who’s using what?

The majority of desktop and mobile WebRTC apps written today, are using VP8 for video.

Since Apple and Microsoft both use H.264 and Google uses VP8 and H.264 (recently shipped Open H.264 – on the desktop and mobile). Also, many of the Enterprise RTC developers are already on that H.264 bandwagon.

Question: If Apple and Microsoft devices ship with H.264, what is the case with Google Chrome on desktops and android, are they preferencing VP8?

Answer: Chrome for desktop and android now have H.264 native. Many of the Android devices that ship today all have H.264 hardware acceleration onboard. In order to understand which units have H.264 and hardware acceleration, you can run use the Android APIs to pull a list of available codecs, but in the case of WebRTC, you will only get H.264 in Android WebRTC if there is a h/w encoder on the device.

Is H.264 the answer for WebRTC video?

Here is a recent test:
Host 1 – (before joining):
macOS Sierra, Macbook, Safari (Technology Preview 32)

Screen Shot 2017-06-13 at 1.17.11 PM

Host 2 (after joining):
Android 7, Samsung 7, Chrome 55

chrome-android

setRemoteDescription OperationError: Failed to set remote video description and params.     Likely because Safari is not seeing H.264 on Android.

Host 1 (after joining):

Screen Shot 2017-06-13 at 1.39.57 PM

According to the Chrome Status page, Chrome for Android should have H.264. So why is the session barfing when trying to set up video? The logs do not lie…

Safari – offer:
a=rtpmap:96 red/90000
a=rtpmap:98 ulpfec/90000
a=rtpmap:99 H264/90000

Chrome on android – answer:
a=rtpmap:96 red/90000
a=rtpmap:98 ulpfec/90000
a=rtpmap:97 rtx/90000

Err, huh? No H.264 in reply?
So, I updated to latest Chrome on android (58) and tried again…

Screen Shot 2017-06-13 at 5.26.44 PM
et voilà!!

Next topic, paying the man!

Shipping your product with H.264 enabled, means you may potentially need to deal with the MPEG-LA royalty police for H.264 royalties, but there are some grey areas.

In the case of Apple and Microsoft, where H.264 royalties are already being paid for by the parent vendor, the WebRTC developer is riding on the coattails of papa bear, at least in theory.

Cisco’s generous OpenH.264 offer means that those using this binary module, can do so at potentially no cost:

We will not pass on our MPEG-LA licensing costs for this module, and based on the current licensing environment, this will effectively make H.264 free for use on supported platforms.

Q: If I use the source code in my product, and then distribute that product on my own, will Cisco cover the MPEG LA licensing fees which I’d otherwise have to pay?

A: No. Cisco is only covering the licensing fees for its own binary module, and products or projects that utilize it must download it at the time the product or project is installed on the user’s computer or device. Cisco will not be liable for any licensing fees incurred by other parties.

That seems to mean (I am no lawyer) every developer shipping WebRTC apps supporting Open H.264 binary module, get a free ride. Those using some other binary, or shipping the above source code for that module, could be on the hook for those royalties. That said, since there are royalties being paid by parent vendors where devices are shipping H.264 anyways, developers may not get hassled regardless.

Summary:

So what did we learn here?

  • Apple has joined the party, now we have a full complement of browser vendors!
  • If you want to leverage WebRTC video to deliver a ubiquitous mobile and desktop experience for your users, you should likely consider including both H.264 and VP8.
  • VP8 is (still) free and powers most of the WebRTC video out there today.
  • You can make use of the Open H.264 project and get a free H.264 ride, albeit baseline AVC.
  • WebRTC on Android does not support software encoding of H.264, so unless there is local hardware acceleration, H.264 will not be in the offer.
  • H.264 is not fully enabled (or buggy) in Chrome 55 (I was using it on Samsung S7 Edge (Android 7), but it does work with Chrome 58.
  • WebRTC is not DOA!
  • SDP still sucks and ORTC can’t come soon enough!!

The W3C and IETF are also closing in on shipping WebRTC as a web standard, here’s a great update from Google on that as well. Latest W3C WebRTC editor’s draft, latest charter.

As a side note, it would be interesting to see something like this open sourced; VP8 / H.264 conversion without transcoding, if only to service the existing desktop apps currently running VP8 <-> mobile H.264. It would likely overwhelm the mobile device, but it would be cool if it worked!

Disclaimer: The views expressed by me are mine alone and do not necessarily represent the views or opinions of my employer.

AI Automation

WebRTC Developer Contract in Seattle – 5 months

webrtc1.1_logo

We have an immediate WebRTC development contract opportunity that has just come up in the Seattle area. The contract requires 4-5 full-time developers onsite, remote will not fit the bill on this one.

For this contract we are looking for a team lead, 2 x Node.js, 2 x common JS developers

You have built commercial web applications using WebRTC libraries and are intimately familiar with the WebRTC and ORTC specs and respective libraries.

Start date: ASAP

If you are interested please forward your resume elagerway@gmail.com

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