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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 industry

Artificial Intelligence in the Automation Industry

Artificial intelligence (AI) has emerged as a transformative force across various sectors of the economy. From robotics to the Internet of Things (IoT) and big data, AI has become an integral part of emerging technologies. According to a survey, 44% of companies are interested in investing significantly in AI. Furthermore, IBM inventors received 2,300 AI-related patents in 2021, highlighting the growing interest and advancements in this field.

Evolution of AI

AI has come a long way since its inception in 1951 when Christopher Strachey created a checkers program at the University of Manchester. Over the past decade, AI has rapidly evolved, with applications ranging from sequencing RNA for vaccines to modeling human speech using algorithms and models. Researchers at the Future of Humanity Institute at Oxford University conducted a survey on AI’s future performance, and the results indicated that machines are expected to write school essays by 2026, self-driving trucks to replace drivers by 2027, and outperform humans in retail positions by 2031. The potential economic impact of AI is significant, with the global economy projected to gain up to $15.7 trillion by 2030 through the utilization of AI.

Industries Adopting Automation and AI

Various industries have already started adopting AI and automation, particularly in the form of “narrow AI,” which focuses on specific tasks. Companies like Google, Amazon, Microsoft, and Apple invest billions in AI and automation annually. Universities are also integrating AI into their curricula, and the U.S. Department of Defense is increasing its focus on AI. While some sectors are relatively new to AI, others have already embraced it to some extent, but there is still room for further development.

AI in Transportation

Despite the current flaws, it is inevitable that autonomous vehicles will eventually become a common mode of transportation. Tokyo plans to introduce autonomous taxis by the spring of 2023, while Waymo has been testing autonomous vehicles on public roads since 2018. However, mass production of autonomous vehicles is yet to begin. AI is also being used to predict travel delays, which is particularly crucial in air transportation. Delays in the aviation industry have cost the U.S. alone $32.9 billion. AI can help predict flight delays and improve overall transportation efficiency.

AI in Healthcare

AI has already revolutionized the healthcare sector by improving disease detection and monitoring through the use of big data. Deep learning AI enables faster disease detection, personalized treatment plans, and automation of certain processes like drug discovery. AI can also enhance healthcare delivery, increase safety, and reduce costs. The potential for AI to transform healthcare is immense.

AI in Education

AI has also transformed the field of education by redefining learning and teaching methods. Automated content allows users to access information efficiently in various formats. Machine learning and neural networks can assist students in learning and detect plagiarism. AI has the potential to personalize and make learning more relevant for each student, both now and in the future.

AI in Media

The journalism industry is increasingly utilizing AI, with examples like Automated Insights, developed by The Associated Press, producing thousands of earnings reports. Previously, writing a document could take several hours, but now AI-generated articles can be read and edited by skilled individuals in just minutes. Some countries have even introduced AI-generated news anchors. AI is also being used to mimic art, although issues surrounding compensation and plagiarism have arisen.

Balancing AI with Human Interaction

AI holds immense potential across various industries, but it is crucial to strike a balance between automation and augmentation. Automation eliminates the need for human labor, while augmentation involves using AI to enhance human intelligence and performance. To truly increase business productivity and efficiency, AI must work in conjunction with humans. For example, articles generated by AI still require human modification to ensure accuracy and avoid issues like AI hallucination, where AI tools generate plausible but factually inaccurate or unrelated outputs. Human oversight is essential to ensure the reliability and integrity of AI-generated content.

Businesses and individuals must carefully consider the pros and cons before implementing AI. While the possibilities of AI are seemingly endless, leaders across industries must also assess how AI affects and challenges their businesses and find ways to overcome these challenges. AI has the potential to revolutionize the automation industry, but it must be approached with caution and a deep understanding of its limitations and capabilities.

In conclusion, AI automation industry is rapidly evolving, with significant advancements being made in various sectors. The potential impact of AI on the global economy is immense, and industries such as transportation, healthcare, education, and media are already adopting AI and automation to improve efficiency and productivity. However, it is crucial to strike a balance between AI and human interaction to ensure the reliability and accuracy of AI-generated outputs. As businesses and individuals continue to explore the possibilities of AI, they must also consider the challenges and limitations associated with its implementation. The future of AI in the automation industry is promising, but it requires careful consideration and strategic planning to harness its full potential.

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Microsoft Teams Phone System, Direct Routing, and SBCs, a journey. (pt.2)

In the last post, we talked about Microsoft’s Business Voice offer and why it’s not always a practical solution. Today we get a bit more in-depth on the Direct Routing components and what’s required for external Teams telephony and the associated SBCs.

Direct Routing and Session Border Controllers

Direct Routing is Microsoft’s way of saying, external SIP connectivity. It allows admins of Teams to create interconnectivity with the outside VoIP and PSTN world without using Microsoft’s calling plans. From the Microsoft website…

Direct Routing lets you connect a supported Session Border Controller (SBC) to Microsoft Phone System to enable voice calling features. You can view information about SBCs and online voice routes; add, edit, or delete an SBC; add, edit, and specify priority of online voice routes; and manage online PSTN usage records.

So, here we know that in order for us to connect our own VOIP phone system, I needed an SBC in the middle. Here’s a quick reminder of what an SBC does in a VoIP network…

SBCs, or Session Border Controllers, are network elements that help protect VoIP networks from malicious attacks. They also serve as a point of NAT traversal and media transcoding, to aid in the connection of VoIP endpoints.

Well, it’s not the end of the world. My favorite CPaaS has plenty of SBCs in-network so that shouldn’t be an issue. Not so fast. This particular SBC needs to be set up with some specific configuration including TLS + SIP Options, specific Contact Headers & audio codecs, and few more fiddly bits. Time to dust off my SIP tools and get started. Let’s start by seeing what happens when we try and point Direct Routing to my CPaaS SBCs…

Nope, no go. Now what’s this about the domain not being setup? O365 admin says my DNS configuration is fine, so what gives?

After spending some time with Microsoft Support, the fellow I was speaking to said he copied my setup and his config wasn’t working until he enabled Exchange and Outlook MX records in his DNS. Hmm, that didn’t sound right. I didn’t want to point all my MX records to Outlook for this test, I only want Voice and Teams chat to work. Then I noticed there is a “Skype For Business / Voice” only option when verifying your domain.

I added the DNS records and it gave me the all green as you can see above, but it still wasn’t allowing me to add the SBC.

Tech Tip: I had to actually assign a user to that domain before it would recognize that domain as being active. After doing that I was able to add my SBC domain.

Down the SBC rabbit hole

The SBC in my chosen CPaaS was not directing calls to the proper Microsoft SIP signaling servers, looks like I will definitely need an SBC in between my CPaaS and Microsoft’s SIP servers. 

I had no choice, if I was going to get this working I would have to use one of the certified Teams SBCs, or build my own. The certified SBCs were relatively expensive and required licensing based on per channel usage or per minute metering if you used one of their cloud images eg. Azure, Amazon. That would not fly for my friend’s business, he is very cost-conscious, not unlike most business owners.

Down the rabbit hole we go, I bit the bullet and began building up a server. The first objective was getting outbound calls to the PSTN/outside world from Teams users. From past experience, it’s always easier to start with outbound calling first, when you get that working move on to inbound. The reason being is that NAT firewalls and SIP don’t mix well, especially if they are blocking certain traffic. Sending traffic out of a NAT was always easier than getting past the firewall inbound.

I set to work on building my SBC also known as a B2BUA (Back to back user Agent). This is not brain surgery but it does take some VoIP network know-how and a good understanding of Linux.

My first stop was Kamailio.org. A great open-source SIP server project that is used in countless commercial deployments. I found some recent articles on their mail-list talking about how to setup up Kamailio with Teams, which was a great start. Before we can proceed we must address the elephant in the room, TLS.

More on that in the next “Microsoft Teams Phone System, Direct Routing, and SBCs, a journey. (pt.3)”, to be published next week!


I hope you found this article interesting.

If you have any questions or comments or want your own SBC for Direct Routing, get in touch via erik@snapsonic.com or give us a call 1.877.897.1952

Microsoft Surface Hub 2 + WebRTC

This demo of the Microsoft Surface Hub 2 is pretty damn cool…

[youtube https://www.youtube.com/watch?v=fozu9dU86Bw]

I don’t run a lot of Microsoft product anymore, switched to mac when the intel chip landed + Apple moved to a unix underpinning. That said, I have seen much better quality in products coming from Microsoft in the last few years, so maybe they deserve a second look.

Surface Hub 2 sort of reminds me of a product called Perch, built a by a local Vancouver team which was meant to serve as a portal into disparate global offices. Perch was way before it’s time. WebRTC was still in its infancy and personal device video conferencing had not really crossed the chasm, which is a shame considering where we are today.

Now there are many of video conferencing companies and products, and plenty of alternatives / platforms for developers to build on. It certainly seems plausible now that we could see the Microsoft Surface Hub 2 in boardrooms across the globe. Apparently it will be interoperable with WebRTC endpoints as well, which could make this a powerful work tool indeed. That would enable collaboration with peers over IP on various endpoints including laptops, tablets and mobile, regardless of the OS. Sharing product ideas, riffing on concepts and polishing final features on a product release using the Microsoft Surface Hub 2 as a tool, could be a refreshing new way to work.

It will be interesting to see what developments come about from the Microsoft press event in NYC in April, as reported by The Verge.

 

WebRTC Ships in MacOS and iOS 11

Update:

Looks like VP8 is not there after all, bummer. More political jostling afoot, which sucks for the development community.

This is a big deal, to have Apple / Safari onboard is really the final major obstacle in the adoption of this awesome standard.

More info (thanks Marc Abrams !!)…
Based on the beta for macOS High Sierra – that was made available yesterday…
https://cl.ly/3q0p1O3…­
– Test samples: webrtc.github.io/samples/ (It passed most of the tests)
– Video codec support is VP8 and H.264 (I have not seen a test that shows H.265 or HEVC but I know it’s there)
– Audio codec support is Opus, ISAC16, G.722 and PCMU
– Basic datachannel support is there but none of the tests seem to work

 

AWESOME!!! This took a bit longer that many of us were expecting, but hey better late than never!

Screen Shot 2017-06-06 at 4.45.16 PM

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