AI Artificial Intelligence

Generative AI & Copyright Concerns: Insights for Businesses

5 months ago

The future of art and digital creativity is changing rapidly, fuelled by artificial intelligence advances. Generative AI algorithms now enable developers to produce unique works that can deepen customer engagement and yield tremendous potential for business growth. As generative AI becomes more advanced, businesses must consider new copyright concerns to take advantage of the technology while protecting their intellectual property. We also recognize the importance of going beyond the buzzwords and incorporating expertise from leaders at InspiringApps and our partners. In this blog post, we’ll explore insights from the experts on how businesses can confidently navigate these waters and understand what they need to do regarding copyright law to benefit from AI without risking legal challenges. What is generative AI—and how does it impact businesses? Generative AI is no longer just a futuristic concept but a reality set to revolutionize how businesses operate. It is a form of AI that can now quickly generate new content, images, and sounds. Initially, large companies were afraid of generative AI applications like ChatGPT. Today, businesses seek guidance on the business implications of generative AI to understand the technology better and implement best practices within their organizations. The race is on to apply generative AI at scale, with just a few use cases, including: Greater Personalization: Businesses can leverage generative AI technology to establish deeper customer connections through personalized content. Enhanced Productivity: With AI assistance, employees can simplify tedious and repetitive tasks, freeing up their time for critical and creative tasks. Content Production: Additionally, generative AI has the potential to transform the creative industry by producing a vast array of original content, from visuals to music. Companies are finding ways to integrate generative AI capabilities into digital products, creating more targeted consumer solutions. But the journey from a spark of technology to full functionality isn’t straightforward. We’ve heard it straight from Brad Weber, InspiringApps CEO: Our job as developers is to embed generative AI into other applications so that consumers benefit from it but don’t necessarily have to know the intricate details about how to work with it. Developers now face the task of harnessing generative AI’s potential and integrating it into business solutions in meaningful yet user-friendly ways. We need to transform the opportunities generative AI presents into a fully functional car. What is the relationship between generative AI and copyright law? Tools such as ChatGPT have great potential for improving our lives. However, if not used correctly, they can also pose significant risks. Brad Weber explains: There are lawsuits from copyright holders who say, “Hang on. Your model is fantastic, but it’s fantastic in part because you trained it on works that I generated—copyrighted works.” While some argue that generative AI can create original content, others contend it can infringe on copyrighted works that may have trained its algorithms. With more artists and authors becoming increasingly litigious over the issue, it begs the question: how can we balance the benefits of generative AI with the need to respect intellectual property? Tim Hayden from Brain+Trust applies a sage metaphor, quoting Willie Nelson’s emphasis on writing your own songs. If we’re going to leverage AI for differentiated messaging, with the brand culture, with a customer-centric operation, then we don’t need to go to a third party and leverage a data set pulled from a bunch of public sources. Corporations must be mindful of the outputs created by these tools and acknowledge any creative works produced by generative AI still fall under the jurisdiction of intellectual property laws. Companies using generative AI must be cautious of how the technology is used to create works that could infringe on existing copyrights. What are some generative AI applications? Generative AI has the potential to yield groundbreaking results. Being mindful of the potential legal pitfalls is just as important as leveraging the innovative capabilities of this advanced technology. Integrating AI Assistants for Tailored Brand Experiences Whether you are about to build a new app, maintain an existing one, or launch an app in the market for the first time, your digital product and brand must connect with customers to foster trust and create personalized experiences to engage them. One of the most exciting and powerful potentials for generative AI is the creation of highly personalized customer experiences. By embracing generative AI on their terms, organizations can develop their brand personas and assistants, setting themselves apart and delivering unparalleled value to their customers. With data being touted as a sacred asset, proprietary trainable models offer unparalleled protection and insight into customer journeys and relationships. Tim Hayden, CEO of Brain+Trust, predicts a surge in company-created brand personas through AI in the next 18 months, providing a personalized touch beyond what traditional apps offer. Harnessing AI to build brand-specific models will shape businesses’ futures. Best Practices for Implementing Generative AI in Your Business The key to generative AI success is understanding that it doesn’t replace human capabilities—it makes humans faster, wiser, and more efficient. Generative AI can assist businesses in scaling more rapidly than ever before. Here are a few best practices to make the most of AI for your business. Use generative AI to differentiate your brand. Creating unique and tailored content helps businesses stay ahead of the competition, providing their audiences with a more personalized and engaging experience. Use it to research and analyze your audience. Generative AI can identify patterns in customer behavior and generate personalized recommendations to increase engagement. Use it to enhance decision-making. AI can analyze large amounts of information, helping to generate data-driven insights and forecasts to inform strategic planning and operational efficiency. Data is key. Leverage your own proprietary data sets to train AI models, ensuring their relevance and accuracy for your specific business needs. Human oversight remains crucial. Don’t rely solely on AI. Combine its capabilities with human judgment and expertise for optimal results. Prioritize transparency and accountability. Understand how AI models reach their conclusions, mitigating potential biases and ensuring ethical usage. Businesses can unlock a wealth of growth and innovation opportunities by strategically embracing generative AI. What is the future of generative AI? Generative AI has undeniably opened Pandora’s Box regarding copyright law, and the complexities are yet to be fully revealed. However, businesses in all industries should look ahead to this new technology with excitement. Generative AI has already proven that it can revolutionize customer experiences. Businesses can create personalized content at an unprecedented rate, with deeper insight into their target customers than ever before. If harnessed correctly, generative AI promises to be incredibly valuable for businesses searching for growth in the long term. The trend is growing fast, and more companies worldwide are beginning to adopt it each day. To stay on top of this trend and ensure that generative AI works for you strategically, let InspiringApps help manage your software development process by viewing our development work today—because the future starts now!

Generative AI & Copyright Concerns: Insights for Businesses Image

As generative AI becomes more advanced, businesses must consider new copyright concerns to take advantage of the technology while protecting their intellectual property. We also recognize the importance of going beyond the buzzwords and incorporating expertise from leaders at InspiringApps and our partners.

In this blog post, we’ll explore insights from the experts on how businesses can confidently navigate these waters and understand what they need to do regarding copyright law to benefit from AI without risking legal challenges.

What is generative AI—and how does it impact businesses?

Generative AI is no longer just a futuristic concept but a reality set to revolutionize how businesses operate. It is a form of AI that can now quickly generate new content, images, and sounds.

Initially, large companies were afraid of generative AI applications like ChatGPT. Today, businesses seek guidance on the business implications of generative AI to understand the technology better and implement best practices within their organizations. The race is on to apply generative AI at scale, with just a few use cases, including:

Greater Personalization: Businesses can leverage generative AI technology to establish deeper customer connections through personalized content.
Enhanced Productivity: With AI assistance, employees can simplify tedious and repetitive tasks, freeing up their time for critical and creative tasks.
Content Production: Additionally, generative AI has the potential to transform the creative industry by producing a vast array of original content, from visuals to music.

Companies are finding ways to integrate generative AI capabilities into digital products, creating more targeted consumer solutions. But the journey from a spark of technology to full functionality isn’t straightforward. We’ve heard it straight from Brad Weber, InspiringApps CEO:

Our job as developers is to embed generative AI into other applications so that consumers benefit from it but don’t necessarily have to know the intricate details about how to work with it.

Developers now face the task of harnessing generative AI’s potential and integrating it into business solutions in meaningful yet user-friendly ways. We need to transform the opportunities generative AI presents into a fully functional car.

What is the relationship between generative AI and copyright law?

Tools such as ChatGPT have great potential for improving our lives. However, if not used correctly, they can also pose significant risks. Brad Weber explains:

There are lawsuits from copyright holders who say, “Hang on. Your model is fantastic, but it’s fantastic in part because you trained it on works that I generated—copyrighted works.”

While some argue that generative AI can create original content, others contend it can infringe on copyrighted works that may have trained its algorithms. With more artists and authors becoming increasingly litigious over the issue, it begs the question: how can we balance the benefits of generative AI with the need to respect intellectual property?

Tim Hayden from Brain+Trust applies a sage metaphor, quoting Willie Nelson’s emphasis on writing your own songs.

If we’re going to leverage AI for differentiated messaging, with the brand culture, with a customer-centric operation, then we don’t need to go to a third party and leverage a data set pulled from a bunch of public sources.

Corporations must be mindful of the outputs created by these tools and acknowledge any creative works produced by generative AI still fall under the jurisdiction of intellectual property laws. Companies using generative AI must be cautious of how the technology is used to create works that could infringe on existing copyrights.

What are some generative AI applications?

Generative AI has the potential to yield groundbreaking results. Being mindful of the potential legal pitfalls is just as important as leveraging the innovative capabilities of this advanced technology.

Integrating AI Assistants for Tailored Brand Experiences

Whether you are about to build a new app, maintain an existing one, or launch an app in the market for the first time, your digital product and brand must connect with customers to foster trust and create personalized experiences to engage them.

One of the most exciting and powerful potentials for generative AI is the creation of highly personalized customer experiences. By embracing generative AI on their terms, organizations can develop their brand personas and assistants, setting themselves apart and delivering unparalleled value to their customers.

With data being touted as a sacred asset, proprietary trainable models offer unparalleled protection and insight into customer journeys and relationships. Tim Hayden, CEO of Brain+Trust, predicts a surge in company-created brand personas through AI in the next 18 months, providing a personalized touch beyond what traditional apps offer. Harnessing AI to build brand-specific models will shape businesses’ futures.

Best Practices for Implementing Generative AI in Your Business

The key to generative AI success is understanding that it doesn’t replace human capabilities—it makes humans faster, wiser, and more efficient. Generative AI can assist businesses in scaling more rapidly than ever before. Here are a few best practices to make the most of AI for your business.

Use generative AI to differentiate your brand. Creating unique and tailored content helps businesses stay ahead of the competition, providing their audiences with a more personalized and engaging experience.
Use it to research and analyze your audience. Generative AI can identify patterns in customer behavior and generate personalized recommendations to increase engagement.
Use it to enhance decision-making. AI can analyze large amounts of information, helping to generate data-driven insights and forecasts to inform strategic planning and operational efficiency.
Data is key. Leverage your own proprietary data sets to train AI models, ensuring their relevance and accuracy for your specific business needs.
Human oversight remains crucial. Don’t rely solely on AI. Combine its capabilities with human judgment and expertise for optimal results.
Prioritize transparency and accountability. Understand how AI models reach their conclusions, mitigating potential biases and ensuring ethical usage.

Businesses can unlock a wealth of growth and innovation opportunities by strategically embracing generative AI.

What is the future of generative AI?

Generative AI has undeniably opened Pandora’s Box regarding copyright law, and the complexities are yet to be fully revealed. However, businesses in all industries should look ahead to this new technology with excitement.

Generative AI has already proven that it can revolutionize customer experiences. Businesses can create personalized content at an unprecedented rate, with deeper insight into their target customers than ever before. If harnessed correctly, generative AI promises to be incredibly valuable for businesses searching for growth in the long term.

The trend is growing fast, and more companies worldwide are beginning to adopt it each day. To stay on top of this trend and ensure that generative AI works for you strategically, let InspiringApps help manage your software development process by viewing our development work today—because the future starts now!

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We partner with inspired companies to create digital products that delight our clients’ customers and improve business outcomes. We work with our clients to bring their ideas and dreams to fruition. And, our development process is guaranteed to get you to the finish line.

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AI Artificial Intelligence

Your Brand AI: Balancing Authenticity & Automation

With the rising influence of brand AI in content production, a double-edged sword emerges—the potential amplification of your brand‘s reach against the backdrop of losing its human touch. We‘re investigating AI‘s impact on brand voice and what it means for your digital legacy. We‘ll explore the power of AI in sustaining brand voice, pitfalls to avoid, and everything in between. AI Apps Pioneering Personalization AI‘s role in content creation and distribution for digital products and mobile apps is monumental, catalyzing unparalleled scalability and customization. Through algorithms and machine learning models, AI technologies can analyze vast datasets to generate relevant and personalized content that fits the individual user‘s preferences and behavior patterns. How Brand AI Encourages Personalization A consistent AI brand voice ensures a seamless user experience, reinforcing brand identity and values. By crafting personalized recommendations and suggesting content through AI that reflects a brand‘s unique voice, companies can significantly enhance trust among their audience. This tailored approach makes users feel understood and valued, fostering a deeper connection with the app or platform. A consistent brand voice in these AI-driven suggestions ensures a seamless user experience, reinforcing brand identity and values. Case Study: Starbucks’ AI-Powered App Starbucks’ mobile app is a prime example of leveraging AI for personalization while maintaining a consistent brand voice. The app uses AI to analyze user data, including order history and location, to provide customized recommendations and promotions. It might suggest a user’s favorite drink near a Starbucks location or offer a discount on a pastry they frequently purchase. Importantly, these recommendations are presented in Starbucks’ signature friendly and inviting tone. The AI-generated content feels like a natural extension of the brand rather than a jarring departure. By carefully curating the language and offers, Starbucks ensures that every interaction reinforces its brand identity, even when automated. Why does personalization matter? Personalized interactions keep users engaged in the app longer and transform them into brand advocates. When users encounter a delightful and customized experience, they are more likely to recommend the product or company to friends and peers, expanding its reach and impact organically. This ability of AI to craft and deliver customized content on a massive scale allows digital products to stay competitive, engaging, and valuable to their target audience. Design & Development With Brand AI Brand AI transforms app development into a more intuitive, creative, and efficient process. The benefits of AI in digital product development and design represent a new era of innovation, efficiency, and personalized user experiences. AI can analyze data, predict user behavior, and automate tasks, enabling developers and designers to push the boundaries of what‘s possible. Brand AI transforms app development into a more intuitive, creative, and efficient process. Streamlining Development Processes AI can significantly streamline digital product development by automating repetitive and time-consuming tasks. AI tools can reduce development time and increase efficiency, from generating code to testing app functions and identifying potential bugs. Developers and designers can focus on innovation, speeding up time-to-market and ensuring high-quality digital experiences. Predictive Analytics & Decision-Making AI-driven predictive analytics can provide product and brand owners valuable insights into future trends and user behaviors. AI can use data analysis to predict popular features, design elements, and evolving user needs. This foresight can inform digital product development decisions, helping to create apps that meet current user expectations and are well-positioned to adapt to future demands. By harnessing the power of AI in design and development, brands can create digital products that meet user needs and anticipate them. This proactive approach sets the stage for enduring customer relationships. Staying Authentic With Brand AI Copy While AI arms us with tools capable of speaking volumes on behalf of our brands, there are inherent risks in relying too heavily on AI writing, especially writing tailored to your brand voice. One wrong note from an AI-crafted message can ring inauthentic to users who are more discerning than we give them credit for. Navigating the AI-Brand Waters Calibrating AI to maintain a human touch is crucial for a compelling brand voice. Here are some key considerations: Quality Control Establishing and fine-tuning the parameters of AI‘s content generation is crucial. Regularly ‘auditing‘ the content to ensure it aligns with the brand‘s ethos is labor-intensive yet non-negotiable. Brand AI brings readiness to embrace “failing fast.” Teams should aim to be precision-guided by data, seeking insights from employees and users about their experiences and interactions. It‘s crucial to ensure that it delivers real value rather than employing AI merely for its own sake. Ethical Editing By their nature, AI systems need to be more capable of understanding copyright concerns and the more nuanced legalities surrounding language usage. Because AI cannot navigate these complexities, brands must carefully monitor input prompts and templates in AI systems. Moreover, conducting thorough legal reviews of the content generated by these tools is just as critical as it would be for content produced through traditional means. Ensuring compliance with legal standards and copyright laws is essential to avoid potential legal issues, making the oversight of AI-generated content a necessary step in the content creation. Human Oversight It‘s essential to find the right balance between automation and human management. The unique nuances, emotional connections, and creative insights humans bring are invaluable. While automation can significantly increase efficiency and streamline processes, it‘s important to remember that no AI system can fully comprehend your brand‘s intricacies and rich heritage as a human can. The unique nuances, emotional connections, and creative insights that humans bring to the table are invaluable. Therefore, while embracing the advantages of automation, consider the necessity for hands-on human creativity and intervention. This balance is crucial for maintaining the authenticity and depth of your brand, ensuring that it remains relatable and genuine in the eyes of your audience. The Language of Tomorrow AI is constantly changing and adapting to new linguistic patterns and cultural shifts. Companies should stay ahead of these changes to prevent their brand‘s voice from becoming outdated. By doing so, you can maintain a dynamic and resonant brand voice that keeps pace with the evolution of technology and society. AI on the Frontlines of Cultural Sensitivity Brand voice isn‘t just about what you say; it‘s about how you say it in the cultural dialects that resonate. AI can effectively promote diversity and inclusivity when used ethically, enabling your brand to connect with a global audience without missing a beat. Bridging All Tongues AI can uniquely adapt brand messages to myriad cultures through sentiment analysis and language processing while preserving the core voice. Ensuring that AI is culturally literate means your brand can speak confidently in global markets. Building Apps for All Using AI to craft copy, design, and develop applications significantly enhances accessibility, breaking down barriers for people with disabilities. AI can optimize apps to be more intuitive and user-friendly for individuals with visual, auditory, motor, or cognitive impairments. AI can assist in prioritizing features like voice recognition, screen readers, and predictive text, which developers and designers can fine-tune to understand and adapt to each user‘s unique needs. These features broaden the user base and foster an inclusive digital environment where technology empowers everyone. Harnessing the Benefits of AI AI can clarify your brand‘s digital narrative and help iterate faster and more efficiently. However, the collective effort of technology and human ingenuity brings AI-supported projects to life. When using AI, organizations should work to balance the scales between humans and machines to ensure a quality product. AI is a potent tool, but like any new technology, it comes with responsibility. If you‘re one of the many companies braving the new world of AI, contact InspiringApps today, and together, we‘ll write the next chapter of your brand‘s story.

16 days ago

With the rising influence of brand AI in content production, a double-edged sword emerges—the potential amplification of your brand‘s reach against the backdrop of losing its human touch.

We‘re investigating AI‘s impact on brand voice and what it means for your digital legacy. We‘ll explore the power of AI in sustaining brand voice, pitfalls to avoid, and everything in between.

AI Apps Pioneering Personalization

AI‘s role in content creation and distribution for digital products and mobile apps is monumental, catalyzing unparalleled scalability and customization. Through algorithms and machine learning models, AI technologies can analyze vast datasets to generate relevant and personalized content that fits the individual user‘s preferences and behavior patterns.

How Brand AI Encourages Personalization

A consistent AI brand voice ensures a seamless user experience, reinforcing brand identity and values.

By crafting personalized recommendations and suggesting content through AI that reflects a brand‘s unique voice, companies can significantly enhance trust among their audience. This tailored approach makes users feel understood and valued, fostering a deeper connection with the app or platform. A consistent brand voice in these AI-driven suggestions ensures a seamless user experience, reinforcing brand identity and values.

Case Study: Starbucks’ AI-Powered App

Starbucks’ mobile app is a prime example of leveraging AI for personalization while maintaining a consistent brand voice. The app uses AI to analyze user data, including order history and location, to provide customized recommendations and promotions. It might suggest a user’s favorite drink near a Starbucks location or offer a discount on a pastry they frequently purchase.

Importantly, these recommendations are presented in Starbucks’ signature friendly and inviting tone. The AI-generated content feels like a natural extension of the brand rather than a jarring departure. By carefully curating the language and offers, Starbucks ensures that every interaction reinforces its brand identity, even when automated.

Why does personalization matter?

Personalized interactions keep users engaged in the app longer and transform them into brand advocates. When users encounter a delightful and customized experience, they are more likely to recommend the product or company to friends and peers, expanding its reach and impact organically.

This ability of AI to craft and deliver customized content on a massive scale allows digital products to stay competitive, engaging, and valuable to their target audience.

Design & Development With Brand AI

Brand AI transforms app development into a more intuitive, creative, and efficient process.

The benefits of AI in digital product development and design represent a new era of innovation, efficiency, and personalized user experiences. AI can analyze data, predict user behavior, and automate tasks, enabling developers and designers to push the boundaries of what‘s possible. Brand AI transforms app development into a more intuitive, creative, and efficient process.

Streamlining Development Processes

AI can significantly streamline digital product development by automating repetitive and time-consuming tasks. AI tools can reduce development time and increase efficiency, from generating code to testing app functions and identifying potential bugs. Developers and designers can focus on innovation, speeding up time-to-market and ensuring high-quality digital experiences.

Predictive Analytics & Decision-Making

AI-driven predictive analytics can provide product and brand owners valuable insights into future trends and user behaviors. AI can use data analysis to predict popular features, design elements, and evolving user needs. This foresight can inform digital product development decisions, helping to create apps that meet current user expectations and are well-positioned to adapt to future demands.

By harnessing the power of AI in design and development, brands can create digital products that meet user needs and anticipate them. This proactive approach sets the stage for enduring customer relationships.

Staying Authentic With Brand AI Copy

While AI arms us with tools capable of speaking volumes on behalf of our brands, there are inherent risks in relying too heavily on AI writing, especially writing tailored to your brand voice. One wrong note from an AI-crafted message can ring inauthentic to users who are more discerning than we give them credit for.

Navigating the AI-Brand Waters

Calibrating AI to maintain a human touch is crucial for a compelling brand voice. Here are some key considerations:

Quality Control

Establishing and fine-tuning the parameters of AI‘s content generation is crucial. Regularly ‘auditing‘ the content to ensure it aligns with the brand‘s ethos is labor-intensive yet non-negotiable. Brand AI brings readiness to embrace “failing fast.” Teams should aim to be precision-guided by data, seeking insights from employees and users about their experiences and interactions. It‘s crucial to ensure that it delivers real value rather than employing AI merely for its own sake.

Ethical Editing

By their nature, AI systems need to be more capable of understanding copyright concerns and the more nuanced legalities surrounding language usage. Because AI cannot navigate these complexities, brands must carefully monitor input prompts and templates in AI systems.

Moreover, conducting thorough legal reviews of the content generated by these tools is just as critical as it would be for content produced through traditional means. Ensuring compliance with legal standards and copyright laws is essential to avoid potential legal issues, making the oversight of AI-generated content a necessary step in the content creation.

Human Oversight

It‘s essential to find the right balance between automation and human management.

The unique nuances, emotional connections, and creative insights humans bring are invaluable.

While automation can significantly increase efficiency and streamline processes, it‘s important to remember that no AI system can fully comprehend your brand‘s intricacies and rich heritage as a human can. The unique nuances, emotional connections, and creative insights that humans bring to the table are invaluable. Therefore, while embracing the advantages of automation, consider the necessity for hands-on human creativity and intervention.

This balance is crucial for maintaining the authenticity and depth of your brand, ensuring that it remains relatable and genuine in the eyes of your audience.

The Language of Tomorrow

AI is constantly changing and adapting to new linguistic patterns and cultural shifts. Companies should stay ahead of these changes to prevent their brand‘s voice from becoming outdated. By doing so, you can maintain a dynamic and resonant brand voice that keeps pace with the evolution of technology and society.

AI on the Frontlines of Cultural Sensitivity

Brand voice isn‘t just about what you say; it‘s about how you say it in the cultural dialects that resonate. AI can effectively promote diversity and inclusivity when used ethically, enabling your brand to connect with a global audience without missing a beat.

Bridging All Tongues

AI can uniquely adapt brand messages to myriad cultures through sentiment analysis and language processing while preserving the core voice. Ensuring that AI is culturally literate means your brand can speak confidently in global markets.

Building Apps for All

Using AI to craft copy, design, and develop applications significantly enhances accessibility, breaking down barriers for people with disabilities.

AI can optimize apps to be more intuitive and user-friendly for individuals with visual, auditory, motor, or cognitive impairments.
AI can assist in prioritizing features like voice recognition, screen readers, and predictive text, which developers and designers can fine-tune to understand and adapt to each user‘s unique needs.

These features broaden the user base and foster an inclusive digital environment where technology empowers everyone.

Harnessing the Benefits of AI

AI can clarify your brand‘s digital narrative and help iterate faster and more efficiently. However, the collective effort of technology and human ingenuity brings AI-supported projects to life.

When using AI, organizations should work to balance the scales between humans and machines to ensure a quality product.

AI is a potent tool, but like any new technology, it comes with responsibility. If you‘re one of the many companies braving the new world of AI, contact InspiringApps today, and together, we‘ll write the next chapter of your brand‘s story.

AI Artificial Intelligence

2024 Tech Trends in Enterprise & App Development

In our recent conversation with InspiringApps CEO Brad Weber, we explored the upcoming tech trends shaping the enterprise landscape in 2024, how they’ll impact our clients, and our approach to app development. Let’s dive in! Artificial Intelligence, Data Privacy & Cloud Solutions “I anticipate several trends will impact app design and development in the near future. InspiringApps is at the forefront of helping our clients adapt to the changes that technology inevitably brings.” —BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO Artificial Intelligence Trends Artificial intelligence will continue to dominate 2024. We’re excited to help our clients employ thoughtful AI solutions—not just generative AI—to leverage corporate data better and improve user experiences. We can help companies harness the power of AI to effectively analyze vast amounts of data, which allows us to predict potential issues that customers may encounter based on their unique usage patterns. With this knowledge, we can take proactive measures to reach out and provide tailored solutions or offer extra support. That extra step can enhance the overall customer experience and strengthen their connection with a brand. Another example of how AI can help companies create exceptional customer experiences is by automating CRM systems. Artificial intelligence streamlines processes and saves valuable time by simplifying tasks such as data entry, lead scoring, and follow-up reminders. AI will use that data to provide intelligent insights so businesses can better predict which leads are most likely to convert and enable sales teams to focus their efforts more effectively. Embracing AI in customer experience leads to improved efficiency, heightened productivity, and, ultimately, better company outcomes. Data Privacy Trends Data privacy will also be important. Because AI can analyze data quickly and efficiently, it offers smaller or mid-sized companies security and privacy features previously only found in enterprise-level budgets. Added access is a win for startups in the app market, who can build trust more quickly and remain competitive. From a development standpoint, companies can build more privacy safeguards on the server side instead of relying on client-side data to find bugs, breaches, and threats. For instance, rather than relying on client-side reporting, a banking app could leverage the collected data to assess the risk of fraud on a user account or temporarily limit access until the fraud department reaches out. This approach offers greater flexibility for correlating data and dynamically controlling actions, which lets companies provide a more personalized and secure user experience while harnessing the power of AI. Cloud Computing Trends For our cloud solutions, we’re excited about microservices and event-driven architecture. Microservices can make apps more agile and easier to scale by dividing up data handling into smaller, independent parts, each with its own responsibility. If one fails, it won’t take the whole application down with it. Less downtime means happier customers. Event-driven architecture also has the potential to offer a much smoother user experience because it prioritizes immediate data handling in response to an event rather than prioritizing data loss. When a user makes a request, the event-driven architecture allows the response in real-time or very close to real-time, whereas in the past, the request would return a complete dataset—and that often took some time. The event-driven architecture allows for an on-demand response that scales. These are not brand-new concepts, but they provide companies with the super-power of agility, allowing them to adapt quickly to rapidly changing market conditions and user demands. Advice to Digital Product Owners: Take Action When things are changing so quickly, and generative AI is a good example from 2023, sometimes there is a tendency to wait until the dust settles to take action. “The dust may not settle for a long time, and you can find yourself way behind. Take action, even if it is small. Get into the mix so you can learn and iterate. That will put you in a position to take advantage of new innovations more quickly as they arise.” —BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO Being an early adopter means staying ahead of the curve and being at the forefront of innovation. In today’s fast-paced world, technology is constantly evolving and changing. Early adopters stay ahead of their competitors and are better prepared for any future changes or advancements. Also, embracing new technologies and ideas early on helps you gain a competitive advantage in your industry. Early adopters are often seen as leaders and trendsetters, which can attract new customers and clients who want to work with innovative companies. Early adoption also presents an opportunity for learning and growth. By taking action before others, you have the chance to learn from any mistakes or challenges that may arise. This can help you refine your strategies and processes, making you more efficient and effective in the long run. Additionally, being an early adopter allows you to become familiar with new technologies or concepts before they become mainstream, giving you a head start in mastering them. Innovation Beyond the Finish Line “Innovation is key to the future of InspiringApps. We will continue to be curious and help our clients create better products by asking, ‘Why?’ Our team enjoys the variety, and our clients benefit from the work we do and the lessons we learn from that work.” —BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO In many ways, designing and building an awesome web and mobile app only gets our clients to the starting line, not the finish line. There is so much more required for a product to be successful. We’re fortunate to have clients of all sizes spanning various industries. It creates a plethora of opportunities for us to employ new techniques and technologies in innovative ways. In 2024 and beyond, we will focus more on long-term product success. We’re bundling marketing services with design and development. We’re supplementing our clients’ own product management capabilities to interpret user feedback and product usage to shape a product roadmap that includes continuous improvement and long-term success.

4 months ago

Artificial Intelligence, Data Privacy & Cloud Solutions

“I anticipate several trends will impact app design and development in the near future. InspiringApps is at the forefront of helping our clients adapt to the changes that technology inevitably brings.”

—BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO

Artificial Intelligence Trends

Artificial intelligence will continue to dominate 2024. We’re excited to help our clients employ thoughtful AI solutions—not just generative AI—to leverage corporate data better and improve user experiences.

We can help companies harness the power of AI to effectively analyze vast amounts of data, which allows us to predict potential issues that customers may encounter based on their unique usage patterns. With this knowledge, we can take proactive measures to reach out and provide tailored solutions or offer extra support. That extra step can enhance the overall customer experience and strengthen their connection with a brand.

Another example of how AI can help companies create exceptional customer experiences is by automating CRM systems.

Artificial intelligence streamlines processes and saves valuable time by simplifying tasks such as data entry, lead scoring, and follow-up reminders.
AI will use that data to provide intelligent insights so businesses can better predict which leads are most likely to convert and enable sales teams to focus their efforts more effectively.
Embracing AI in customer experience leads to improved efficiency, heightened productivity, and, ultimately, better company outcomes.

Data Privacy Trends

Data privacy will also be important. Because AI can analyze data quickly and efficiently, it offers smaller or mid-sized companies security and privacy features previously only found in enterprise-level budgets. Added access is a win for startups in the app market, who can build trust more quickly and remain competitive.

From a development standpoint, companies can build more privacy safeguards on the server side instead of relying on client-side data to find bugs, breaches, and threats. For instance, rather than relying on client-side reporting, a banking app could leverage the collected data to assess the risk of fraud on a user account or temporarily limit access until the fraud department reaches out.

This approach offers greater flexibility for correlating data and dynamically controlling actions, which lets companies provide a more personalized and secure user experience while harnessing the power of AI.

Cloud Computing Trends

For our cloud solutions, we’re excited about microservices and event-driven architecture.

Microservices can make apps more agile and easier to scale by dividing up data handling into smaller, independent parts, each with its own responsibility. If one fails, it won’t take the whole application down with it. Less downtime means happier customers.
Event-driven architecture also has the potential to offer a much smoother user experience because it prioritizes immediate data handling in response to an event rather than prioritizing data loss. When a user makes a request, the event-driven architecture allows the response in real-time or very close to real-time, whereas in the past, the request would return a complete dataset—and that often took some time. The event-driven architecture allows for an on-demand response that scales.

These are not brand-new concepts, but they provide companies with the super-power of agility, allowing them to adapt quickly to rapidly changing market conditions and user demands.

Advice to Digital Product Owners: Take Action

When things are changing so quickly, and generative AI is a good example from 2023, sometimes there is a tendency to wait until the dust settles to take action.

“The dust may not settle for a long time, and you can find yourself way behind. Take action, even if it is small. Get into the mix so you can learn and iterate. That will put you in a position to take advantage of new innovations more quickly as they arise.”

—BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO

Being an early adopter means staying ahead of the curve and being at the forefront of innovation. In today’s fast-paced world, technology is constantly evolving and changing. Early adopters stay ahead of their competitors and are better prepared for any future changes or advancements.

Also, embracing new technologies and ideas early on helps you gain a competitive advantage in your industry. Early adopters are often seen as leaders and trendsetters, which can attract new customers and clients who want to work with innovative companies.

Early adoption also presents an opportunity for learning and growth. By taking action before others, you have the chance to learn from any mistakes or challenges that may arise. This can help you refine your strategies and processes, making you more efficient and effective in the long run.

Additionally, being an early adopter allows you to become familiar with new technologies or concepts before they become mainstream, giving you a head start in mastering them.

Innovation Beyond the Finish Line

“Innovation is key to the future of InspiringApps. We will continue to be curious and help our clients create better products by asking, ‘Why?’ Our team enjoys the variety, and our clients benefit from the work we do and the lessons we learn from that work.”

—BRAD WEBER, INSPIRINGAPPS CEO | BOULDER, COLORADO

In many ways, designing and building an awesome web and mobile app only gets our clients to the starting line, not the finish line. There is so much more required for a product to be successful.

We’re fortunate to have clients of all sizes spanning various industries. It creates a plethora of opportunities for us to employ new techniques and technologies in innovative ways.

In 2024 and beyond, we will focus more on long-term product success. We’re bundling marketing services with design and development. We’re supplementing our clients’ own product management capabilities to interpret user feedback and product usage to shape a product roadmap that includes continuous improvement and long-term success.

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