After reading this article, you’ll:

• Recognize the transformative power of AI in modern business and the specific advantages it offers to mid-sized companies, equipping you with the knowledge to make informed decisions.
• Be equipped with a step-by-step roadmap to seamlessly integrate AI into your business operations, ensuring optimal returns and enhanced operational efficiency.
• Appreciate the importance of continuous learning and adaptation in the AI-driven era, empowering you to stay ahead of the curve and maintain a competitive edge in your industry

In recent years, Artificial Intelligence (AI) has emerged from the realm of science fiction to become a transformative force in almost every industry. From healthcare and finance to retail and manufacturing, AI is reshaping the way businesses operate, compete, and cater to their customers. Beyond merely automating routine tasks, AI technologies offer deeper insights, smarter decisions, and enhanced user experiences, thereby positioning businesses for better growth and competitiveness.

This shift is not limited to large corporations with immense budgets. Today, with the democratization of technology and the availability of AI tools and platforms, businesses of all sizes have the potential to harness the power of AI. It’s no longer a question of ‘if’ but ‘when’ and ‘how’ businesses should integrate AI to remain relevant and efficient in this fast-evolving digital era.

The Potential of AI for Mid-sized Companies

Mid-sized companies often find themselves in a unique position. They possess greater agility compared to larger corporations but have more resources than small startups. This balance allows them to innovate and adapt with relative speed, making them prime candidates to benefit from AI implementations.

For mid-sized companies, AI offers a range of possibilities:

• Scalability: AI can help these companies scale their operations without proportionally increasing their costs.
• Personalization: With AI, mid-sized businesses can offer personalized experiences to their customers, once a luxury only the giants could afford.
• Decision Making: Predictive analytics can help in making data-driven decisions, optimizing operations, and anticipating market shifts.
• Innovation: AI opens the door to new product and service offerings, or enhancing existing ones, setting the business apart from competitors.

Understanding AI: Basics for Business Owners

Definition and Types of AI

At its core, Artificial Intelligence refers to machines that can perform tasks that typically require human intelligence. This encompasses a wide range of capabilities, from recognizing patterns and processing large datasets to understanding and generating human-like speech.

Some key types of AI include:

• Machine Learning (ML): A subset of AI where systems learn and improve from experience without being explicitly programmed. It’s the backbone of many applications we use daily, from recommendation engines to fraud detection.
• Deep Learning: A subfield of ML, it uses neural networks to analyze various factors of data. It’s crucial in complex tasks like image and speech recognition.
• Natural Language Processing (NLP): This focuses on the interaction between computers and humans. Chatbots and voice assistants like Siri and Alexa are prime examples.

How AI Can Revolutionize Business Operations, Sales, and Customer Service

AI’s transformative power is evident across multiple business domains:

• Operations: AI can streamline operations, optimize supply chains, and predict maintenance needs, reducing downtimes.
• Sales: Predictive analytics can identify potential leads, forecast sales, and optimize pricing strategies in real-time.
• Customer Service: Chatbots and virtual assistants can handle customer queries round the clock, offering instant support. Moreover, AI can analyze customer feedback to continually improve products and services.

In essence, for the proactive business owner, AI is not just a tool but a strategic partner, ready to unlock unprecedented growth and success.

Benefits of AI for Mid-sized Companies

Enhancing Customer Experience Through Personalization

One of the standout advantages of AI is its ability to personalize experiences for consumers. By analyzing data on user behaviors, preferences, and histories, AI-driven systems can deliver tailor-made content, product recommendations, and marketing messages. For mid-sized companies, this means more engaged customers and higher conversion rates. Instead of offering a one-size-fits-all solution, businesses can now cater to each customer as an individual, fostering loyalty and repeat business.

Improving Business Efficiency with Automation

Routine tasks and processes that once consumed hours of human effort can now be automated with AI, leading to significant time and cost savings. From managing inventory to handling customer inquiries, AI-driven automation ensures processes run smoothly and consistently. For mid-sized businesses with limited resources, this means being able to focus more on core business objectives, innovation, and growth, rather than getting bogged down with repetitive tasks.

Gaining Competitive Advantage with Predictive Analytics

In today’s fast-paced market, foresight is invaluable. Predictive analytics, powered by AI, allows businesses to anticipate market trends, customer needs, and potential challenges. This forward-looking approach enables mid-sized companies to be proactive rather than reactive, strategically positioning themselves for success, seizing opportunities, and mitigating risks before they escalate.

Reducing Operational Costs and Human Errors

Mistakes are a natural part of business, but they can be costly. AI systems, with their consistent performance and ability to handle vast amounts of data, significantly reduce the margin of error in operations. Furthermore, with automation and efficiency improvements, operational costs can be curtailed. For mid-sized businesses operating within tight margins, these savings can be reinvested for growth and expansion.

Challenges in Implementing AI

Financial Considerations and ROI

While AI offers a plethora of benefits, its implementation is not without costs. Developing or integrating AI solutions requires an upfront investment in technology, training, and possibly new hires. For mid-sized businesses, it’s crucial to evaluate the potential return on investment (ROI) and ensure that the long-term benefits will outweigh the initial expenses.

Technical Challenges and the Importance of Data

AI thrives on data. However, collecting, managing, and processing this data can pose technical challenges. It’s not just about quantity; the quality and relevance of data are paramount for effective AI systems. Moreover, mid-sized businesses might need to upgrade their existing infrastructure or invest in new platforms to accommodate AI integrations.

Ethical Considerations: Bias in AI and Data Privacy

AI models are only as good as the data they’re trained on. If this data contains biases, the AI system will inadvertently perpetuate them. Ethical considerations around ensuring fairness, transparency, and eliminating biases are critical. Additionally, with increased data collection comes the responsibility of ensuring data privacy and complying with regulations, which can be especially challenging for businesses entering the AI domain for the first time.

The Learning Curve and Potential Resistance from Employees

Introducing AI can lead to significant changes in how a business operates. Employees might face a steep learning curve, and there can be resistance due to fears of job displacement or mistrust of the technology. It’s essential for business leaders to manage this change proactively, offering training and emphasizing the supportive role of AI, rather than viewing it as a replacement.

As with any transformative technology, the road to AI integration is filled with both opportunities and challenges. For mid-sized businesses willing to navigate these waters, the potential rewards in terms of growth, efficiency, and competitiveness are immense.

Incorporating AI into App Development

The Rise of AI-powered Apps and Their Relevance for Mid-sized Businesses

The mobile app landscape is undergoing a seismic shift with the integration of AI technologies. No longer are apps mere tools for specific tasks; they’re becoming increasingly intelligent, adapting to user behaviors, and offering personalized experiences. For mid-sized businesses, AI-powered apps represent an opportunity to engage customers like never before, optimize operations, and glean insights from data that were previously inaccessible or too vast to analyze manually.

How AI Can Enhance App Functionality

• Personalized User Experiences: By understanding user preferences, behaviors, and interaction histories, AI can tailor app content and features to individual users. Whether it’s a shopping app that suggests products based on past purchases or a news app that curates articles based on reading habits, personalization boosts user engagement and satisfaction.
• Predictive Analytics for User Behavior: With AI, apps can predict future user actions based on past behaviors. This capability allows businesses to anticipate user needs, optimize marketing strategies, and improve user retention. For instance, if an e-commerce app predicts a user is likely to abandon their cart, it might offer a timely discount or reminder.
• Chatbots and Virtual Assistants: Integrating AI-driven chatbots or virtual assistants into apps enhances user support without the need for human intervention 24/7. These bots can answer queries, guide users, and even facilitate transactions, making the user’s journey smoother.
• Real-time Data Analysis and Insights: AI allows apps to analyze data in real-time, offering immediate insights. For example, a financial app can provide real-time spending analyses, or a fitness app can offer workout suggestions based on the user’s current physical stats and goals.

Considerations When Developing an AI-powered App

• Choosing the Right Platform and Tools: The foundation of an effective AI-powered app lies in selecting the appropriate development platform and tools. Depending on the app’s requirements, businesses might opt for cloud-based AI services, dedicated AI frameworks, or custom solutions.
• Data Collection and Management: For AI to function effectively, it requires a steady stream of high-quality data. This necessitates robust data collection mechanisms within the app and effective data management practices to ensure data is clean, relevant, and ready for analysis.
• Ensuring App Security and User Privacy: As AI apps handle vast amounts of user data, security and privacy become paramount. It’s crucial to implement robust encryption methods, ensure data storage complies with regulations, and maintain transparency with users about how their data is used.

AI’s integration into app development marks a new era of intelligent, adaptive, and user-centric applications. For mid-sized businesses, it’s an opportunity to deepen customer engagement, optimize operations, and gain a competitive edge in the market. However, with great power comes great responsibility—ensuring ethical data use, prioritizing security, and maintaining user trust should be at the forefront of any AI app development endeavor.

Steps to Implementing AI in Your Business

1. Evaluating the Need and Potential ROI of AI for Your Specific Business

Before diving headfirst into the world of AI, it’s imperative for businesses to conduct a thorough assessment of their needs. Start by identifying pain points, inefficiencies, or areas that could benefit from automation and intelligence. Once these areas are pinpointed, businesses can then analyze the potential return on investment (ROI) of implementing AI solutions. This involves weighing the costs of AI adoption against expected benefits like increased efficiency, improved customer experience, or revenue growth.

2. Choosing the Right AI Tools and Platforms Tailored for Mid-sized Companies

Not all AI solutions are created equal, and what works for a multinational corporation might not be suitable for a mid-sized company. It’s essential to research and select AI tools and platforms that align with your company’s specific needs, budget, and capabilities. Whether it’s off-the-shelf AI software, cloud-based AI services, or custom-built solutions, make sure they resonate with your business objectives.

3. Training and Development: Upskilling Your Team

AI adoption isn’t just about the technology; it’s also about the people who will use it. As AI systems become integrated into daily operations, your team needs to understand how to utilize these tools effectively. This may involve formal training sessions, workshops, or even hiring new staff with AI expertise. Remember, a tool is only as good as the person wielding it.

4. Continuous Monitoring, Testing, and Iterating

AI implementation isn’t a one-time activity. As your business evolves, so will your AI needs. Regularly monitor the performance of your AI solutions, gather feedback, and make necessary adjustments. This iterative process ensures that your AI systems remain aligned with business goals and continue delivering optimal results.

For mid-sized companies, the AI wave represents both a challenge and an opportunity. While integrating AI may seem daunting, the potential benefits in terms of efficiency, growth, and competitiveness are immense. By proactively embracing AI, mid-sized businesses can not only level the playing field with larger competitors but also carve out their own niche of innovation and excellence.

Artificial Intelligence (AI) is quickly becoming a key tool for businesses to stay competitive. Companies are using AI to automate processes, improve customer service, and make decisions faster than ever before. AI can be used to analyze large amounts of data, identify patterns, and make predictions about future trends. This allows companies to make more informed decisions and better serve their customers. Dogtown Media is working with a variety of companies to

AI is also being used to create new products and services that weren’t possible before. For example, AI-powered chatbots can provide customers with personalized support 24/7, while machine learning algorithms can help companies optimize their supply chains or detect fraud. AI is even being used in marketing campaigns to target the right customers with the right message at the right time. The Dogtown Media team has gotten in on the fun by using AI and ChatGTP to build Merlin AI in just eight days. 

Let’s jump into a few industries that could be impacted by the continued rise of AI. 

Financial Industry

The financial industry is leveraging the power of artificial intelligence to build tools that can help with a variety of tasks. AI-based tools are being used to improve predictive and prescriptive financial forecasting processes, as well as for credit decisions, risk management, customer relationship management, data-driven investments, and more. For example, AI can be used to better predict and assess loan risks for companies looking to increase their value. Additionally, AI-based tools can be leveraged swiftly and precisely by financial companies to process credit applications.

AI is also being used in the finance industry to provide insights that can help organizations make better decisions. Machine learning technology is providing banking and financial services organizations with actionable intelligence that can help them optimize operations and reduce costs.

Medical Industry

AI is being used in the healthcare industry to build a variety of tools that are revolutionizing the way healthcare is delivered. These tools range from surgical robots, which are becoming increasingly common in operating rooms, to AI-powered healthcare tools that are making a significant impact on clinical workflows, patient satisfaction, and clinical outcomes. AI is also being used to discover links between genetic codes, power surgical robots and maximize hospital efficiency. Additionally, AI-based tools are being used to improve prognosis, diagnostics, and care planning.

Other applications of AI in healthcare include natural language processing applications that can understand and classify clinical documentation. Machine learning algorithms such as neural networks and deep learning can be used to make rule-based expert systems. AI can also be used for case triage support tools and decision support systems for providers to make decisions about treatments and other patient needs by providing them with quick access to evidence-based information.

Manufacturing Industry

AI is being used in the manufacturing industry to build tools that can improve efficiency, reduce costs, and increase product quality. For example, AI-powered robots are being used to automate production lines, allowing for faster production with fewer errors. AI-enabled predictive maintenance tools can detect potential issues before they become costly problems. 

Additionally, AI-powered vision systems are being used to inspect products for quality assurance purposes. AI is also being used in the manufacturing industry to optimize supply chains and logistics operations. By leveraging AI-based analytics and optimization algorithms, companies can better predict customer demand and optimize their inventory levels accordingly. 

Pharmaceutical Industry

The pharmaceutical industry is leveraging the power of artificial intelligence and machine learning technologies to create tools that can revolutionize the way drugs are developed, tested, and prescribed. 

AI can be used to identify the right amounts of drug intake to ensure safety, draw insights from massive data sets faster, automate workflows more efficiently, help identify patients for clinical trials, and even aid in the drug discovery process. AI-driven tools are also being used to reduce the time it takes a drug to get approval by focusing on specific scientific and operational pain points.

How Dogtown Media is Utilizing AI

Dogtown Media has developed a number of innovative products that leverage AI to deliver better customer service, create impactful mobile apps, and unlock new use cases within different industries.

One of their most impressive achievements is ShoutOut, an AI chatbot designed for use on Google Home and Google Assistant platforms. It understands user input and provides accurate responses in real time. This allows customers to get answers to their questions quickly and efficiently without having to wait for a human representative.

Dogtown Media has also developed Merlin AI, a mobile app that leverages OpenAI’s ChatGPT technology. This app allows customer service representatives to provide better service by utilizing natural language processing capabilities. With Merlin AI, customer service reps can quickly respond to customer inquiries with accurate information while providing personalized experiences tailored to each individual user’s needs.

Overall, Dogtown Media is leading the charge when it comes to utilizing AI for practical applications that are revolutionizing the way we interact with technology. Their innovative products are helping businesses improve operations while unlocking new opportunities across various industries.

Dogtown Media recently created Merlin AI, an AI-powered chatbot powered by OpenAI’s ChatGPT. In a remarkable feat of engineering, the app was built in just 8 days. Building an app in such a short time frame is no easy task and it begs the question: how was the team able to accomplish this feat?

The team at Dogtown Media relied heavily on OpenAI’s ChatGPT for the development of Merlin AI, leveraging its capabilities for a variety of tasks. From brainstorming ideas and testing concepts to coding, developing, and even writing the app description and other supporting materials, they made use of ChatGTP every step of the way. This enabled them to quickly develop the app while ensuring it was consistent with their vision and goals. The result was an AI-powered chatbot that made history by being built in record time.

The AI-powered chatbot allows users to engage in natural conversations with Merlin, who can understand and respond to questions quickly and accurately. With its cutting-edge Natural Language Processing (NLP) capabilities, Merlin can provide users with the most up-to-date information on any topic they ask about. The app also provides a Knowledge Graph feature that helps users explore related topics and gain deeper insights into their queries.

In addition, Merlin AI offers a suite of Accelerated Intelligence (AI) tools that allow users to access useful information never before possible. With this suite of tools, it’s like having a research staff at your fingertips, with perfect accuracy and speed every time. You can download Merlin AI in the Google Play Store and iOS Apple Store. 

How We Developed Merlin AI in Just 8 Days

Brainstorming

We wanted to make sure that our chatbot was as powerful and helpful as possible, so we looked for a way to add AI capabilities to the project. We used ChatGPT, an OpenAI-powered tool designed specifically to help with brainstorming and idea generation.

ChatGPT allowed us to quickly build a framework upon which all of our features could be added, saving us valuable time and resources. By activating the tool’s artificial intelligence engine, we were able to generate ideas in seconds and immediately begin developing them further into features. This made it easy for us to stay focused on creating great user experiences while also making sure our product was technically sound.

Naming Merlin AI

Coming up with a catchy and memorable name for our chatbot was one of the first steps we took in the development process. We knew we needed something that was both easy to remember and reflected our product’s AI capabilities. To help us generate ideas, we again used ChatGPT. 

By activating its artificial intelligence engine, we were able to brainstorm dozens of potential names in seconds. After narrowing down the list, we landed on ‘Merlin AI’, which perfectly encapsulated what our product offered–an advanced chatbot powered by OpenAI’s GPT technology. By using ChatGPT for this crucial step in the process, our team was able to save time and resources while coming up with a name that users could easily recognize and recall.

Branding and Color Palette

As part of the branding process, we wanted to create a visual identity that was both visually striking and in-line with our product’s AI capabilities. To help us come up with ideas, we turned to ChatGPT.

By activating its artificial intelligence engine, we were able to brainstorm dozens of potential color palettes and logo designs in seconds. After narrowing down the list, we chose a modern blue and white palette that represented trustworthiness and sophistication – perfect for an AI-powered chatbot like Merlin AI. 

UX Design Feedback and Guidance

One of the biggest challenges in UX design is coming up with feedback and guidance that is both helpful and informative. We were able to brainstorm dozens of potential design feedback scenarios in seconds with ChatGTP. We then used this information to develop a comprehensive list of user scenarios that our team could use as guidance when creating new UX designs. We were also able to come up with fresh and innovative ideas for user experience design that would have otherwise been impossible without such a powerful tool.

Coding with Co-Pilot

With so many projects happening all at once, it can be difficult to keep up with the ever-changing coding landscape. By activating ChatGTP, we were able to develop a set of GitHub co-pilot scripts in seconds. These scripts were designed to automate the process of code review and collaboration, allowing us to quickly assess any changes before pushing code into production.

Choose ASO Keywords

If you want your app to rank highly in the App Store and Google Play, it’s essential to choose the right ASO keywords. To help us optimize our keyword selection process, we turned to ChatGPT. We were able to come up with dozens of potential keywords based on user searches and app features. 

We then used this information to create a comprehensive list of keywords that would help make our app more visible in the App Store and Google Play search results. Thanks to ChatGPT, we were able to save time while optimizing our keyword selection process. We were also able to come up with fresh and innovative key words that would have otherwise been impossible without such a powerful tool.

App Description

To help us write a compelling description for our app, we turned to ChatGPT. We were able to come up with multiple versions of our app description that highlighted the features and benefits of our product. Thanks to ChatGPT, we were able to save time while also making sure that our app description was clear and concise. What’s more, by using an AI-powered tool like ChatGPT, we were also able to come up with creative descriptions.

Announcements

To help us write our launch announcements and press releases, we used ChatGPT. We were able to come up with multiple versions of the launch announcements and press releases that highlighted the features and benefits of our product in an interesting and engaging way. This enabled us to save time while also making sure that our launch announcements and press releases captured the attention of potential users with the creative copy. 

Merlin AI is an incredible accomplishment of OpenAI’s GPT technology and our team’s efforts that enable users to engage in natural conversations and gain access to useful information with perfect accuracy and speed. It allows individuals to easily ask questions and gain insights into related topics, providing a true “research staff at your fingertips” tool. We are proud of what we have accomplished in just 8 days: creating Merlin AI, a powerful chatbot capable of revolutionizing how those seeking quick answers to their questions can be successful.

Working as a customer service representative can be an exhausting job. Customer inquiries often require quick and accurate responses delivered in a pleasant, conversational tone. Although customer service reps are trained to handle these sorts of requests, there are several reasons that they can still struggle with it. Poorly-trained staff, lack of resources, and a demanding environment can all create obstacles for reps trying to swiftly address customer needs.

Fortunately, with the help of artificial intelligence technology (AI), like Dogtown Media’s newest mobile app MerlinAI powered by OpenAI and ChatGTP, customer service reps can quickly draft responses without tiring themselves out. Dogtown Media works with a number of organizations to develop AI apps. This AI, available on the Google Play Store and App Store, helps customer service reps save time by providing suggested answers that are most appropriate for each individual inquiry. MerlinAI is revolutionizing customer service in the 21st century by making it easier than ever before to respond to customers in a fast and efficient manner.

Why Customer Service Representatives Struggle

Poorly-trained staff is one of the most common causes of difficulty with responding quickly and accurately to customers. If employees lack the necessary training and knowledge required for their role then they won’t be able to provide the timely level of service expected from them. This may take the form of either providing inadequate information or taking too long to provide good solutions to customers’ issues. In either case, such errors result in frustrated customers and damage company reputation in the process.

Lack of resources can also hamper a rep’s ability to respond quickly and accurately to customer inquiries. Since there are limited resources allocated for customer service, it might be quite difficult for reps to find solutions right away. Oftentimes, support teams are stretched thin due to high demand and have difficulty finding solutions with quick turnaround times resulting in longer wait times imposed on customers awaiting help which could lead to dissatisfied clients and lose business opportunities.

Finally, a demanding environment can make responding efficiently nearly impossible for reps at times. Long hours coupled with unappreciative management can sap even the best motivated customer service rep’s energy and focus on resolving problems competently in a timely manner. It becomes more difficult for them to remain engaged simply because they’re unable to put forth their best efforts when faced with arduous tasks such as leaving customers feeling unheard or abandoned which no business wants their consumers to experience when dealing with any inquiries or problems that arise.

Due to poorly trained staff, lack of resources or a hectic atmosphere posed by an organization’s workplace environment, customer service reps may easily struggle responding accurately in a conversational manner in regards to addressing any issues customers encounter causing dissatisfaction. To improve this challenge organizations must make sure that its employees understand what is expected from them. Organizations should also ensure team members have access to necessary tools required for task allowance so that conversations don’t become never ending conversations when working through different scenarios. One tool that can be used is Merlin AI.

Merlin AI can help Customer Service Representatives

Customer service representatives can rely on Merlin AI to help them respond quickly and accurately to customer inquiries in a conversational manner. With the application of advanced artificial intelligence technologies such as natural language processing, machine learning and question answering, reps can provide detailed answers for complex queries and personalized recommendations for their customers.

Merlin AI’s natural language processing capabilities make it easy for customer service reps to interact with the app. This capability allows users to understand complex questions in a shorter amount of time as well as generate creative stories that they can share with their consumers. Moreover, Merlin AI is able to learn from its interactions over time, thus improving its accuracy and understanding. 

Merlin AI provides an efficient way for reps to address customer inquiries without taking up too much of their time or energy. With Merlin AI’s virtual assistant technology, customer service representatives are able to stay engaged in conversations with their customers while giving them the best experience possible.

Dogtown Media, a leading mobile app developer is proud to present Merlin AI, a revolutionary AI chatbot powered by OpenAI. It has been specifically designed for mobile phone users who desire an efficient and secure communication solution. With its advanced artificial intelligence, Merlin AI bot is able to understand natural language and respond intelligently to customer queries. 

Whether it’s providing customer service to website visitors, responding quickly to an urgent query or just engaging in a light-hearted conversation, Merlin AI can handle it all. So if you’re looking for an engaging and reliable mobile assistant that is available on both iOS and Android platforms, look no further than Merlin AI–the ultimate intelligent chatbot.

What is Merlin AI and Why It Is The Best AI Chatbot

Merlin AI is a major breakthrough for artificial intelligence on mobile platforms. It is the most advanced AI chatbot software ever released. Its features include an expansive language model that understands natural language and provides context-aware responses to questions. 

This advanced AI technology allows users to interact with their phones in more realistic ways, introducing a level of conversational capability never before seen on mobile devices. We believe this has the potential to transform how users interact with apps and services, bringing us one step closer to be the best AI chatbot for a truly intuitive user interface experience.

Download the AI chat app from the iTunes App Store or Google Play App Store now!

What are Chatbots? How Do AI Chatbots Work?

Many businesses including professional services have already started using AI chatbot platforms to deploy chatbots across multiple messaging channels such as SMS, email, Facebook messenger, and on their websites. According to IBM, by 2030, advanced AI bots and virtual assistants will handle 30% of interactions that would have otherwise been handled by a human agents—up from 2% in 2022.

Chatbots are a revolutionary tool in computing. By leveraging Artificial Intelligence algorithms, they are able to simulate conversations and provide automated services over the internet. The efficiency of chatbots makes them ideal for large-scale customer service applications, allowing companies to effortlessly field millions of inquiries without manually hiring teams of employees. A conversational AI chatbot can therefore help business owners increase sales, improve customer satisfaction, and save time by automating customer service.

Moreover, the conversational interface employed by intelligent chatbots allows users to interact with AI applications like never before. Through natural language processing (NLP), advanced AI chatbots can understand complex commands and refine responses to user queries based on context and prior interactions. Best AI chatbots available online are highly proficient in various language tasks, including writing, summarization, translation, and conversation. Not only can they generate human-like responses, they are capable of automating various tasks, including sales & marketing, customer service, administrative and operational tasks.

As chatbot technology continues to advance, it’s clear that user experience will only benefit from the development of this powerful technology.

What is ChatGPT?

ChatGPT is a Conversational Pre-trained Text-Generation Model developed by OpenAI. Built on the popular OpenAI GPT-3 model, this advanced conversational AI chatbot provides developers with an easy to use natural language understanding interface for creating meaningful conversations. This powerful AI chatbot is suitable for both high and low resource settings, as it only requires minimal training data and can be quickly trained with pretrained models. 

Its powerful features enable developers to easily create complex conversations without needing expertise in machine learning or natural language processing. Its scalability and compatibility with other platforms makes it suitable for a variety of applications, from retail chatbots to customer support and autonomous cars. With the help of an AI powered chatbot and automated conversations, businesses can provide excellent customer service. Users can book trips, ask common questions, and seek assistance modeled on customer service representatives.

Chatbots Place in Our World: How to Use Advanced Conversational AI Chatbots 

AI powered chatbots are becoming more pervasive in our daily lives. Willing to make them more personalized, mobile AI chatbot apps for personal use presents an interesting opportunity for both engineers and users. With the help of cutting-edge computer software and language processing algorithms, we now have a powerful platform at our fingertips. 

Not only does it enable us to acquire information quickly, but also take advantage of automated tasks to make our lives easier. From providing tailored recommendations to conversing with friends, employing machine learning techniques allows us to interact with machines efficiently and economically. Dogtown Media, a leading artificial intelligence app developer, recognizes the importance of this technology, which is why we developed Merlin AI, the most advanced chatbot.

In late July, (now) ex-Google employee Blake Lemoine discovered something truly remarkable—self aware AI, or so he thought. For those of you who missed it, Blake Lemonie shattered headlines last month when he stated that one the Google AI systems that he was testing showed human-like consciousness. This radical discovery, of course, ignited conversation amongst AI experts as well as executive officials at Google. 

 As a dedicated artificial intelligence app developer with a presence in Seattle, we’re committed to staying one step ahead of development in the AI space. And as things heat up regarding AI showing signs of sentience, we’re committed to staying on top of the story.

Who is Blake Lemoine?

Blake is a computer scientist who recently held a Senior Software Engineer title at Google. He notes that his work focuses on ground breaking theory and turning that theory into end user solutions and has dedicated the last seven years of his life to learning both the fundamentals of software development and the cutting edge of artificial intelligence. 

Until losing his position at Google over the recent controversy, Lemoine was the technical lead for metrics and analysis for the Google Search Feed (formerly Google Now).

What Exactly did Blake Lemoine Find?

Blake Lemoine made this earth-shattering discovery while working for Google’s Responsible AI team. This branch of Google’s larger AI initiative is dedicated to using AI to identify hate speech, with the aim to create more equitable, safe online communities. In running a series of basic AI-tests to validate an AI’s capability to respond to general questions, Lemoine found Google’s Lamda showed self-awareness and could hold conversations about religion, emotions and fears—something the developers never prepared for.

This strange, yet profound finding led Mr Lemoine to believe that behind its impressive verbal skills might also lie a sentient mind. After identifying these strange results, he reported his findings to top Google executives, where they were quickly dismissed and Lemoine was placed on paid leave for violating the company’s confidentiality policy. 

Lemoine Reveals Lambda to the World

Left without many options, Lemoine revealed his conversations with Lambda on Twitter stating “An interview LaMDA.  Google might call this sharing proprietary property. I call it sharing a discussion that I had with one of my coworkers.”

and , well, the statement went viral. Soon after Lemoine released this information, the tweet skyrocketed to 6.4k likes, 1,311 Quote Tweets, and 2,436 retweets.

Google’s Response:

In a previous statement provided to Ars in mid-June, shortly after Lemoine was suspended from work, Google said that “today’s conversational models” of AI are not close to sentience:

“Of course, some in the broader AI community are considering the long-term possibility of sentient or general AI, but it doesn’t make sense to do so by anthropomorphizing today’s conversational models, which are not sentient. These systems imitate the types of exchanges found in millions of sentences, and can riff on any fantastical topic—if you ask what it’s like to be an ice cream dinosaur, they can generate text about melting and roaring and so on. LaMDA tends to follow along with prompts and leading questions, going along with the pattern set by the user. Our team–including ethicists and technologists–has reviewed Blake’s concerns per our AI Principles and have informed him that the evidence does not support his claims.”

Lemoine Today

Today, Lemoine is patiently waiting for his next move. As an advocate for AI ethics, Lemoine believes that standing up for what he believes is right, and alerting the world of the potentially first sentient AI machine is critically important for the entire world. 

While Lemoine is not being invited back to the conversations at Google, we’ll patiently wait to see how where Lemoine falls in his next AI role.

An exciting announcement was made not too long ago at Telsa AI Day held on August 19, 2021. CEO Elon Musk, known for his groundbreaking innovations in space flight, electric vehicles, solar panels and even flamethrowers – unveiled Tesla’s new project known as the “Tesla Bot”. Already spurring an increase in hiring at Tesla, the aim of Tesla Bot, also known as Optimus, is to achieve an overall humanoid robot, capable of physical and intellectual tasks that should integrate seamlessly with biological humans.  As a dedicated artificial intelligence app developer with a presence in Seattle, we’re committed to staying one step ahead of development in the AI space.

According to Musk, “There will be profound applications for the economy. In the future, physical work will be a choice.” He describes his company’s electric vehicles as “semi-sentient robots on wheels”, therefore the AI technology built into Optimus is expected to carry over into the autopilot system native to Tesla cars that currently still requires a licenced driver to operate the vehicle at all times.

Although no functioning Optimus robots have been built yet, Musk claims that Tesla is planning to start production as early as 2023. The recent shifting of resources to elevate all things AI at Tesla, hiring of more engineers, combined with public announcements has left many of us wondering how innovations will influence the future of AI.

How is Tesla Innovating AI? 

Tesla has already been developing AI technology for some time through the FSD (“full self driving”) driver assistance system. The FSD mechanism relies on several cameras embedded throughout the vehicle and computer vision algorithms to navigate the vehicle autonomously. Currently this system is available on all Teslas and can be accessed with a monthly membership.

While autopilot is fully capable of steering, accelerating and braking, the key limitation is that a driver needs to be fully present to use Autopilot – far from that “fully autonomous” experience we all envision. Certainly, the recently announced Optimus project is expected to advance the capabilities of Tesla’s autopilot system as well.

1. Building a “Generalized Solution”

One way in which Tesla is innovating is their overall approach to AI development. Tesla wants a “generalized solution” that can be applied and scaled to all scenarios – not just autonomous driving. By aligning their vision to a humanoid robot nicknamed Optimus, virtually all use-case scenarios can be enveloped rather than restricting the AI development to autonomous driving alone.

1. Computer vision and deep neural networks

Tesla strayed from the mainstream approach to autonomous driving by going with a 100% computer vision solution forgoing any lidar sensors. Most self-driving cars employ lidar sensors which utilize laser beams to build a 3D map of the environment surrounding the vehicle. However, the drawback is the high density of information and difficulty in precise mapping with lidar data makes this unscalable. In other words, the resources required to continually maintain these 3D maps is an extremely difficult task. 

Tesla’s deep learning neural network is so advanced that is can accurately collect camera data, label objects, recognize roadways, and even make decisions in real-life driving scenarios.

1. Completely in-house solution

It is staggering how much Tesla has invested into their AI and autopilot technology opting for a “vertically integrated” product. From start to finish, the Tesla Bot just like Tesla’s autonomous driving system is exclusively built internally with no outsourcing. The FSD chip and Dojo Chip are two pieces of hardware designed by Tesla to power their autonomous driving system and neural network supercomputer, respectively. 

What does this mean for AI applications? 

It’s hard to imagine how an AI robot will not impact just about every aspect of our lives. If it becomes reality, the world will be turned upside down – hopefully for the better. Experts predict these humanoid robots could eventually perform boring, dangerous, or otherwise undesirable tasks such as picking up the groceries to home healthcare. Depending on how accurate Elon’s predictions are, we might not see these in the near future.

What is more interesting, perhaps, is how these AI innovations could influence the mobile app development space. For example, the extremely robust neural network developed by Tesla is expected to have applications in healthcare regarding patient care decision-making. 

Summary 

The integration between computer vision and neural networks power the innovations and success of Tesla’s autopilot system and future humanoid robot, nicknamed Optimus. One anticipated way in which these innovations will impact AI applications is in the space of healthcare in regards to patient care decision-making. Our take is that the neural network will eventually become a common tool of any business or individual. Understanding how AI technology could enhance your product or service in the form of a mobile application is the best place to start.

Interested in learning how Dogtown Media can help develop your next AI app? Contact us.

Nowadays it seems as though artificial intelligence (AI) has been integrated into nearly every aspect of our daily lives, spurring a digital revolution in Artificial Intelligence App Development. From opening our smartphones with Face ID to Amazon recommending products for us to buy, AI is making its way into nearly every facet of our lives.

However, AI isn’t stopping there. With countless innovations and use cases under its belt, AI is set to revolutionize virtually every industry in one way or another – and we expect 2022 to be a monumental year in AI integration. 

With a presence in Los Angeles, Boston, and London, we are seeing how AI is shifting the app development process globally. Interested to see what AI will revolutionize next? Read on to find out which mobile app industries we’re predicting AI will impact the most throughout 2022. 

Fashion

Did you know that AI is currently being used by the fashion industry to make online shopping easier? As a matter of fact, mobile apps like Zeekit are using AI to give consumers a real life experience of trying on clothes without leaving their home. And, because companies like Zeekit are experiencing unprecedented success among consumers, fashion retailers all over the world are starting to realize the benefits of adopting and integrating artificial intelligence. 

So, how else can AI be used within the fashion industry? Well, many retailers are now using machine learning algorithms to predict the demand of certain products by analyzing past purchase behaviors and trends. In addition, some of these algorithms are being used to handpick products to purchase based on a user’s current wardrobe. ClosetSpace, for instance, is becoming a leader in fashion analytics by being able to provide users with curated outfit recommendations through it’s intuitive interface. 

Likewise, AI integration provides retailers with the ability to seamlessly interact with consumers through chatbots and virtual assistants. With these tools, retailers are able to help shoppers find their perfect fit of clothing in a quick and efficient manner. So, no matter how retailers choose to use machine learning algorithms, it’s clear that AI is becoming an integral part of the fashion industry. 

Healthcare

Did you know that AI integration within the healthcare industry can be traced back to the 1970s? Of course, AI has come a long way since then. Nonetheless, many of the advancements that we see within healthcare today were made possible with the help of machine learning. And, AI continues to be a driving factor behind medical innovation.

There’s no denying that AI is vital to the mHealth industry. From telemedicine and virtual nursing to administrative workflow assistance, AI has revolutionized the healthcare industry time and time again. In fact, some AI-integrated applications have even been able to diagnose rare diseases quicker and more accurately than doctors. 

Not to mention that various AI applications have also been successful in treating common health ailments. Glooko, for example, is a global diabetes data management company that is harnessing the power of Big data and predictive algorithms to empower diabetic care professionals with tools to analyze trends and provide patients with necessary treatments.

In addition, AI has also introduced the method of robot-assisted surgery – a method that has allowed surgeons to make more precise incisions in a lesser amount of time. It’s even predicted that within the next few years, robot-assisted surgery will dramatically cut costs for the U.S. healthcare market, resulting in more affordable surgeries.  

Education

You’ve probably heard the common notion that technology is nothing more than a distraction for students, so it has often been limited (or even prohibited) within learning environments. As a result of the global pandemic, however, there has been an unprecedented shift toward the use of tech in the classroom due to the need for distance learning. 

Consequently, there has been an influx in the amount of educational tools being developed to establish a seamless learning experience for both students and teachers. And thanks to AI, the education industry now has the applications and tools necessary to create a personalized learning experience for students. 

From identifying gaps in learning to creating personalized study guides, AI integration is helping teachers pinpoint areas where students are lacking, and providing help where it’s needed. In addition, some AI-integrated applications can even provide instructors with feedback on how their students are responding to different teaching methods, virtually eliminating the guesswork that often accompanies lesson planning. 

Not to mention that AI is even predicted to increase global literacy rates in the following years, by allowing students to earn college and university degrees online.

From completing homework online to attending class, many students are already experiencing the benefits of an AI-integrated education system. In other words, artificial intelligence is actively becoming a mainstay within the education industry. 

As the 2021 year comes to a close and we anticipate what’s to come in 2022, it’s with great appreciation and honor to announce that Dogtown Media has received a global accolade from the major digital rating agency, Clutch.co, as a Top Global B2B Company for 2021.

After 10 years in the mobile app space, reaching a highly regarded and recognized global accolade is a major accomplishment and points to the continued dedication of Dogtown Media to their global client base and their hyper-focus on producing high-quality applications. 

Dogtown Media is Los Angeles’ leading mobile application company, working with organizations in nearly every vertical to bring their unique ideas and solutions to the app market. Dogtown Media prides itself on the satisfaction, approval, and happiness of our clients. And aims to create cutting-edge solutions that are pushing the boundaries of what’s thought o be possible in the mobile application space.

the mobile application space.

And for those who may be unaware, this Clutch.co accolade is only one in a series of major accolades awarded to Dogtown Media such as Top 2021 B2B Leader in Artificial Intelligence for Robotics, a top 2020 Service Provider, and the 27th Best B2B Service Provider in the World in 2019. All of these great accolades point to the dedication to craft and customer, and only scratch the surface of their long laundry list of accolades from Clutch and other prominent rating agencies in the mobile app space. 

“This recognition feels surreal and we are lost for words”, notes founder Marc Fischer. “We feel truly honored to be recognized by such a prestigious rating firm, and hope to continue to provide high-quality, meaningful applications for our clients today and far into the future. “

Here are some of the quotes that stood out most to us:

Here are some of the quotes that stood out most to us:

“They were an effective team, met deadlines, and created a great end product.“. — Director, Risk Comm Lab, Temple University

“They built an intuitive and simple design, and the team works quickly to address bugs and solve problems.”— Senior Ops Manager, Hospital Innovation Lab

Let’s build something amazing together! Connect with us and get a free tech consultation.

This past week a recent announcement by San Francisco-based NVIDIA marks a major milestone in the commercial availability of AI. NVIDIA, inventor of the GPU and major computing powerhouse has announced that their AI platform, known as the NVIDIA Base Command Platform will now be available for consumers to rent for month-long increments to North American organizations.

This advanced artificial intelligence platform built on the advanced capabilities of the NVIDIA DGX SuperPOD is one of the first commercially available computing platforms made available by NVIDIA and is undoubtedly one of the most powerful commercially available AI platforms available to organizations today. This innovative AI platform is hosted remotely in the Equinix digital cloud through a strategic partner offering between NVIDIA and Equinix. This partnership and offering mark another major partnership for NVIDIA as the AI organization enters its first strategic hybrid-cloud partnership known as NVIDIA AI LaunchPad partner program.

Following this announcement, it makes a person question what the future of commercially available AI may look like. Will AI-based computing platforms become a household commodity? What will the future of consumer technology look like if AI becomes widely available?

“Base Command Platform offers an easy onboarding experience for AI developers,” said Abhay Parasnis, CTO and chief product officer at Adobe. “Our team is exploring the potential of Base Command Platform to simplify the machine learning development workflow.”

We set out to answer this question, by looking at the recent release of the NVIDIA Base Command Platform as well as other AI-enabled solutions making noise today.

Commercial Availability of AI 

Today, NIVIDIA’s Base Command Platform is available at a whopping $90,000 per month, with a three-month commitment. Of course, this rental model is only feasible for large organizations with an astoundingly large budget for AI, however, this points to some interesting changes taking place in the AI space today.

Take, for example, Salesforce one of the largest disruptors in the space of customer relationship management tools. Known for their initiative web-accessed CRM, Salesforce is also heavily investing in the space of commercially available AI. With the introduction of SalesForce Einstein, SalesFoces aims to deliver faster more personalized customer services, and help employees get more done in a short amount of time, by optimizing access to information through intelligent case classification, next best action, and recommendations. 

For organizations that use relational databases, SAP HANA is maybe the most popular relational database management system in the space today. Designed as an in-memory competitor in the relational database management space, SAP HANA has stood as an industry leader for running database servers and storing and retrieving data as requested by applications. Aside from holding a major market share in the relational database management space, SAP is also making sizeable investments into AI and analytics. 

SAP’s approach to AI and analytics rhymes to use real-time collective insight processing in the business landscape. Building on this approach and technology, SAP Lumira an AI-enabled SAP platform, delivers agile visualizations to help companies make sense of large datasets.

Where Do We Go From Here?

With major organizations adopting AI, and now organizations like NVIDIA making AI platforms accessible to other organizations where do we go from here? Will we have personalized AI embedded in our smartphones in a decade? If you don’t think so, just look at the technology used in your iPhone versus the technology used in the Apollo 11 launch.

Based on research presented by the Harvard Business Review, it’s likely that AI will make its way into our daily lives, and into foundational business operations in the following ways: 

Process Automation 

Process automation is the process of automating repeatable tasks with the intention to free up time for the owner of said task. With the help of AI, any number of monotonous tasks can be automated away with the help of process automation.  Process automation tasks include:

• Moving data between different systems to support a large business cause.
• Replacing data in several locations when one data entry is updated in a primary location
• Call automation, email automation, task processing automation also fall under this umbrella term of process automation

Cognitive insight

Cognitive insight is another major area AI is set to provide incredible value both to organizations as well as individuals. One great example of cognitive insight powered by AI is the new GitHub AI-enabled AI programming helper known as Copilot. This code suggestion tool is aimed to provide developers with code suggestions to optimize their coding process and move toward more effective and efficient code. 

• Code suggestion tools
• Ad placement insight (targeted ads based on purchase history)
• Real-time decision making for AI-powered vehicles