AI Artificial Intelligence Business & Strategy

2024 Tech Trends in Enterprise & App Development

10 months ago

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.

2024 Tech Trends in Enterprise & App Development Image

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.

Together, we can turn your vision into reality.

If you have aspirations and goals that you’re passionate about, we would love nothing more than to have a conversation with you. Drop us a line today, and let’s embark on an extraordinary journey together.

Partner with InspiringApps

Where Markets Reveal Opportunity

Market shifts expose where digital solutions matter most. Housing slowdowns reveal gaps in lending and closing processes. Security breaches point to teams needing better tools. Travel industry price wars show the limits of dated booking systems. Climate pressures push power grids toward smarter solutions.

The pandemic proved organizations can change rapidly when they have to. That capability didn’t disappear; we just need to channel it deliberately.

Elements That Work

Some companies build better digital products by starting with two questions: What exactly needs fixing? What tools already exist in the marketplace?

Infrastructure That Scales

Modern platforms need to handle multiple brands and integrate with existing systems. But complexity doesn’t have to mean confusion. The best solutions grow naturally with your business.

Data That Shapes Decisions

Raw numbers rarely tell the full story. Context transforms data into insight. Successful companies identify which metrics actually influence customer behavior and business outcomes, then act on those patterns.

Customer Experience That Fits

Good digital tools match existing workflows. Great ones remove friction while preserving what works. Understanding how users actually spend their days—their routines, shortcuts, and pain points—reveals where technology can help most.

Real Results in Action

FNF: Clearing the Path in Real Estate

FNF began with a question: What slows property deals? Their inHere platform answered by:

Reaching 76% adoption in 18 months
Boosting team capacity
Unifying multiple brands
Giving customers more control

Yoürs: Making Home Ownership Accessible

While FNF streamlined existing processes, Yoürs spotted a gap: young professionals watching home ownership drift out of reach. Their platform will connect potential co-owners. Their recent acceptance into TechVenture Accelerator Boulder suggests they’ve found an underserved market.

Common Threads in Successful Projects

Our work with hundreds of companies reveals patterns in successful digital projects. Five elements stand out:

1. Platform Clarity

Technical choices flow from strategy. Successful platforms connect methodically across brands and grow incrementally. Simple interfaces outlast complex ones.

2. Security by Design

For companies like FNF, security transforms the business model itself. When protection and verification weave through every interaction, trust becomes measurable. FNF achieved 80% fraud reduction, which opened new possibilities for the entire industry.

3. Design Through Understanding

Multiple perspectives build better products. Direct observation shows what users do. Interviews reveal why they do it. Usage data confirms patterns. Regular feedback catches gaps. Both FNF and Yoürs prove that deep user understanding leads to rapid adoption.

4. Teams That Talk

Problems surface faster in open conversations. Cross-department collaboration speeds solutions. Progress needs measurement, but not micromanagement.

5. Partnership That Grow

The right partners multiply capabilities. Skills complement. Knowledge flows both ways. Time strengthens these bonds.

Start Where You Are

Digital transformation doesn’t require massive budgets or complete overhauls. Start with one clear problem. Test solutions quickly. Listen to users. Let your team adapt. Find partners who understand your goals.

At InspiringApps, we help companies take these first focused steps. Want to explore what makes sense for your business? Let’s talk.

AI Artificial Intelligence

AI Questions To Ask Before Selecting a Digital Product Partner

Selecting an AI-savvy digital product partner is daunting. Choose wrong, and you risk ethical missteps, poor user experience, or ineffective AI integration. The consequences? Wasted resources, damaged reputation, and missed opportunities. Don’t leave your AI product to chance. Our guide offers crucial questions to ask, helping you identify a partner who prioritizes responsible AI, user-centric design, and ethical considerations. AI Integration Essentials: Questions To Ask Your Developer AI integration is reshaping digital products, but not all approaches are equal. Understanding a partner’s AI expertise is crucial for project success. These questions will reveal their capability to implement AI responsibly and effectively. How do you integrate AI while maintaining privacy and security? When selecting a digital product partner for AI integration, look for a company that prioritizes: On-device processing where possible to keep user data secure. Clear protocols for handling data when server-side processing is needed. Obtaining explicit user consent for data sharing with third-party AI services. Transparency with users about AI implementation. A strong partner should be able to articulate their approach clearly while staying one step ahead of evolving AI technologies and privacy regulations. “Real people—real intelligence. The right team will tap into AI’s potential the right way. That means prioritizing user privacy and ethical considerations as they do for every implementation.”KRISTIN MOLINA, MARKETING MANAGER | INSPIRINGAPPS What’s your experience in enhancing user experiences with AI? An ideal partner will carefully integrate AI features to enhance, rather than complicate, user experience. Look for: Examples of how they’ve integrated AI capabilities while strongly emphasizing user privacy and data security. Instances where they’ve used AI to save time, improve quality, or analyze data in new ways that directly benefit the user experience. A balanced approach that taps into AI’s potential while ensuring the technology doesn’t overwhelm or confuse users. Transparency in how AI is implemented ensures users understand when and how AI is used to enhance their experience. How do you ensure ethical AI practices? Look for a partner that: Actively works to identify and mitigate potential biases in AI systems. Advocates for human oversight in AI processes. Complies with AI-related regulations. Regularly audits their AI use. Helps clients to maintain responsible AI use. Considers AI’s long-term impacts and sustainability. Continuously learns and adapts to new developments in AI ethics. Can you provide examples of AI solving real business challenges? A responsible partner should provide examples of AI implementations that serve specific business purposes rather than using AI for its own sake. Look for cases where AI has been used to save time, improve quality, or analyze data in new ways. Examples should focus on practical, ethical, and user-centric AI applications that directly address business challenges while aligning with a philosophy of responsible AI integration. How do you balance AI automation with human oversight? Look for a partner who emphasizes the importance of human judgment alongside AI capabilities. They should describe a process where AI augments human decision-making rather than replacing it entirely. Responsible AI Implementation: The Non-Negotiables Responsible AI implementation should be non-negotiable. Use these questions to ensure your potential partner’s AI approach is transparent, unbiased, and aligned with the highest standards in responsible AI development. How do you ensure transparency in AI features? Look for a commitment to clear communication about AI use in the product, possibly including in-app explanations of how AI is used and how it affects user experience. How do you prevent bias in AI algorithms? Look for a detailed approach to identifying and mitigating bias, including diverse data sets, regular testing, and a willingness to adjust algorithms when bias is detected. How do you approach data minimization? Ask how the partner minimizes data use—do they process data directly on devices or use techniques like anonymization? What’s your process for ongoing AI system improvements? Look for a systematic approach to evaluating AI performance, gathering user feedback, and iteratively improving AI features over time. AI-Enhanced User Experiences: How To Create More Engaging Products When implemented thoughtfully, AI can enhance user experiences. The following questions will help you understand how a potential partner leverages AI to create more engaging, personalized, and accessible digital products. How do you personalize digital products with AI? Look for examples of how AI can tailor content, recommendations, or interfaces based on user behavior and preferences while respecting privacy. How does AI improve accessibility? For example, AI can enhance features like voice recognition, text-to-speech, or adaptive interfaces to make apps more accessible to all users. How do you balance automation with human touch in user interactions? Look for an understanding of when AI is appropriate, when human interaction is preferable, and what strategies to integrate both seamlessly. Can you provide examples of how AI has enhanced user engagement in your previous projects? Ask for concrete case studies demonstrating measurable improvements in user engagement through AI implementation. Remember, the right partner should have technical expertise and a clear understanding of AI implementation’s ethical implications and responsibilities. Our Approach to AI: InspiringApps Philosophy At InspiringApps, we don’t just integrate AI—we do it responsibly. Our AI philosophy: Prioritizes user needs and privacy Solves real problems without compromising ethical standards Continuous innovation in AI with a focus on responsibility and transparency Let’s shape the future of AI together.

2 months ago

AI Integration Essentials: Questions To Ask Your Developer

AI integration is reshaping digital products, but not all approaches are equal. Understanding a partner’s AI expertise is crucial for project success. These questions will reveal their capability to implement AI responsibly and effectively.

How do you integrate AI while maintaining privacy and security?

When selecting a digital product partner for AI integration, look for a company that prioritizes:

On-device processing where possible to keep user data secure.
Clear protocols for handling data when server-side processing is needed.
Obtaining explicit user consent for data sharing with third-party AI services.
Transparency with users about AI implementation.

A strong partner should be able to articulate their approach clearly while staying one step ahead of evolving AI technologies and privacy regulations.

“Real people—real intelligence. The right team will tap into AI’s potential the right way. That means prioritizing user privacy and ethical considerations as they do for every implementation.”
KRISTIN MOLINA, MARKETING MANAGER | INSPIRINGAPPS

What’s your experience in enhancing user experiences with AI?

An ideal partner will carefully integrate AI features to enhance, rather than complicate, user experience. Look for:

Examples of how they’ve integrated AI capabilities while strongly emphasizing user privacy and data security.
Instances where they’ve used AI to save time, improve quality, or analyze data in new ways that directly benefit the user experience.
A balanced approach that taps into AI’s potential while ensuring the technology doesn’t overwhelm or confuse users.
Transparency in how AI is implemented ensures users understand when and how AI is used to enhance their experience.

How do you ensure ethical AI practices?

Look for a partner that:

Actively works to identify and mitigate potential biases in AI systems.
Advocates for human oversight in AI processes.
Complies with AI-related regulations.
Regularly audits their AI use.
Helps clients to maintain responsible AI use.
Considers AI’s long-term impacts and sustainability.
Continuously learns and adapts to new developments in AI ethics.

Can you provide examples of AI solving real business challenges?

A responsible partner should provide examples of AI implementations that serve specific business purposes rather than using AI for its own sake. Look for cases where AI has been used to save time, improve quality, or analyze data in new ways.

Examples should focus on practical, ethical, and user-centric AI applications that directly address business challenges while aligning with a philosophy of responsible AI integration.

How do you balance AI automation with human oversight?

Look for a partner who emphasizes the importance of human judgment alongside AI capabilities. They should describe a process where AI augments human decision-making rather than replacing it entirely.

Responsible AI Implementation: The Non-Negotiables

Responsible AI implementation should be non-negotiable. Use these questions to ensure your potential partner’s AI approach is transparent, unbiased, and aligned with the highest standards in responsible AI development.

How do you ensure transparency in AI features?

Look for a commitment to clear communication about AI use in the product, possibly including in-app explanations of how AI is used and how it affects user experience.

How do you prevent bias in AI algorithms?

Look for a detailed approach to identifying and mitigating bias, including diverse data sets, regular testing, and a willingness to adjust algorithms when bias is detected.

How do you approach data minimization?

Ask how the partner minimizes data use—do they process data directly on devices or use techniques like anonymization?

What’s your process for ongoing AI system improvements?

Look for a systematic approach to evaluating AI performance, gathering user feedback, and iteratively improving AI features over time.

AI-Enhanced User Experiences: How To Create More Engaging Products

When implemented thoughtfully, AI can enhance user experiences. The following questions will help you understand how a potential partner leverages AI to create more engaging, personalized, and accessible digital products.

How do you personalize digital products with AI?

Look for examples of how AI can tailor content, recommendations, or interfaces based on user behavior and preferences while respecting privacy.

How does AI improve accessibility?

For example, AI can enhance features like voice recognition, text-to-speech, or adaptive interfaces to make apps more accessible to all users.

How do you balance automation with human touch in user interactions?

Look for an understanding of when AI is appropriate, when human interaction is preferable, and what strategies to integrate both seamlessly.

Can you provide examples of how AI has enhanced user engagement in your previous projects?

Ask for concrete case studies demonstrating measurable improvements in user engagement through AI implementation. Remember, the right partner should have technical expertise and a clear understanding of AI implementation’s ethical implications and responsibilities.

Our Approach to AI: InspiringApps Philosophy

At InspiringApps, we don’t just integrate AI—we do it responsibly. Our AI philosophy:

Prioritizes user needs and privacy
Solves real problems without compromising ethical standards
Continuous innovation in AI with a focus on responsibility and transparency

Let’s shape the future of AI together.

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