Key Topics

• UnifyApps platform architecture
• AI agent building and orchestration
• Data ontology and knowledge graphs in AI
• Reimagining enterprise applications with AI
• Role of solution partners in AI transformation

• Design thinking principles in software and AI
• Application of design thinking to database and system design
• Organizational collaboration and silos in tech projects

• How vibing and vibe coding have forever changed the world of development 
• The opportunities for a new world of business-first developers to build new classes of applications
• The critical role of a model in building and maintaining man applications
• How a well-designed platform can be leveraged to drive consistency, lower costs and avoid risk
• Why we are at a moment in time where over-rotation on AI development could be very unwise 

Takeaways

• Developers often prioritize speed over data quality.
• Data governance is essential for ensuring data correctness.
• AI can significantly impact data management practices.
• Collaboration between developers and data professionals is crucial.
• Understanding data context is vital for effective governance.
• Security risks are heightened with the use of AI and agents.
• Fusion teams can help bridge the gap between business and tech.
• Data quality issues can lead to significant business risks.
• Training on data risks is often lacking in the industry.
• Starting simple with AI and orchestration is a best practice.

Takeaways

• Vibe coding is a significant trend in low-code development.
• AI is reshaping the landscape of application development.
• The role of developers is evolving with the introduction of vibe coding.
• Business users are becoming more empowered to create applications.
• Governance and security remain critical in low-code environments.
• The future of software development is about collaboration between business and IT.
• Generative AI is changing how applications are built and deployed.
• Organizations are seeing reduced time to market for new applications.
• Vibe coding allows for more creativity and efficiency in software development.
• The concept of 'agentic' applications is emerging, where AI assists in building software.

Timestamps
00:00 - Introduction to Low Code and AI

03:01 - The Impact of Vibe Coding on Low Code

10:46 - Changing Roles in Software Development

14:23 - The Future of Development: Collaboration and Governance

27:17 - The Role of Business in Software Development

45:52 - Art of the Possible: Innovations in Low Code

59:26 - Podcast Outro.mp4

Takeaways

• Cody Low's journey from the Marine Corps to Replit highlights the importance of understanding software deeply.
• Vibe coding allows users to build applications without needing extensive coding knowledge.
• Replit aims to provide an end-to-end experience for users, differentiating itself from competitors.
• Empowering citizen developers can lead to innovative solutions within organizations.
• The future of low code involves integrating agents to enhance productivity and efficiency.
• Cultural shifts are necessary for organizations to embrace citizen development.
• Prototyping options is more valuable than simply reporting problems.
• Replit's agent builder allows users to create and improve their own agents.
• The primary user of Replit is shifting from the individual to the agent.
• The direction of low code development is accelerating rapidly.

• Low code is evolving, not dead.
• Vibe coding offers flexibility and independence.
• AI integration is crucial for modern development.
• The role of developers is changing with new tools.
• Governance and organizational culture are key to success.

Takeaways

• 'It's never about the technology; it's always about you.'
• 'Organizations that succeed think about what they are building, not just how fast.'
• 'Vibe coding is about flow; it allows you to stay in the problem space.'
• 'The challenge is how to break the loop of building artifacts.'
• 'Agents will play a significant role in the future of software development.'

Takeaways

• The channel business is an accelerator for vendors.
• Vendors must understand the value of their offerings to the channel.
• Commitment is essential for effective channel strategies.
• Channel partners have more choices than ever before.
• Enablement is crucial for channel partners to succeed.
• Compensation strategies must be competitive to attract partners.
• Understanding expectations is key to partnership success.
• Vendors need to align with channel partners' business models.
• Feedback from partners is vital for continuous improvement.
• The landscape of channel partnerships is evolving rapidly.

Takeaways
-Rick Greenwald has over 40 years of experience in data.
-Distributed data refers to data from multiple sources, not just geographical distribution.
-The desire for a single uniform data pool is common but challenging to achieve.
-Correctness of data is context-dependent and varies by use case.
-Governance is essential but often overlooked in data management.
-Developers play a role in data governance through their interactions with end users.
-Many systems operate in silos, reducing the need for unified governance.
-AI agents require access to diverse data but complicate governance.
-Organizations must recognize that all data is governed, whether they acknowledge it or not.
-Having too many versions of data is a sign of multiple use cases, not poor management.

Takeaways

• Gonçalo Borrêga emphasizes the importance of vision and pragmatism in technology.
• Enterprises struggle with AI due to tool sprawl and lack of accountability.
• AI's non-deterministic nature raises security concerns for enterprises.
• Low-code development is not dead; it evolves with new technologies.
• AI can enhance the involvement of business users in software development.
• Managing data context is critical for effective AI implementation.
• Innovative uses of AI can transform legacy systems and processes.
• Low-code platforms can leverage AI for better code generation.
• The future of software development will require a blend of low-code and traditional coding.
• AI can facilitate knowledge transfer between business and IT users.

Takeaways

• Praveen Seshadri has a PhD in computer science and has worked on database systems.
• He founded AppSheet, which was acquired by Google, and later started Thunk AI.
• The traditional low-code and no-code platforms are becoming less relevant due to advancements in AI.
• AI can automate the generation of deterministic code, reducing the need for human intervention.
• The future of software lies in intelligent applications that can handle ambiguity and flexibility.
• Businesses need to adopt an AI-first approach to stay competitive.
• The democratization of software development is possible with AI, empowering non-technical users.
• Reliability and consistency are crucial for deploying AI solutions in business.
• Organizations should explore both tactical and strategic approaches to AI adoption.
• The potential for AI to transform industries is vast, with opportunities for new applications.

Takeaways

• Decision intelligence automates decision-making processes.
• Community engagement is crucial for knowledge sharing.
• Low-code solutions enhance change management capabilities.
• Data management challenges persist in decision intelligence.
• The industry is shifting towards a decision-first approach.
• AI plays a significant role in decision intelligence.
• Integration of multiple technologies is essential.
• Decision intelligence is a growing market.
• Knowledge management is vital for organizational success.
• Join the DecideWise community for valuable resources.
• This podcast was edited by a human while watching Love Actually. 

Takeaways

• Stevie Sims transitioned from operations to automation in the energy sector.
• Citizen developers can significantly enhance business processes.
• Understanding turnaround events is crucial in the energy industry.
• Low-code platforms empower individuals to solve business problems.
• Continuous learning and resourcefulness are key in tech development.
• Domain expertise is essential for effective problem-solving.
• AI can accelerate development but must be approached cautiously.
• Collaboration between IT and business is vital for success.
• Generative AI poses risks of producing inaccurate information.
• Giving back to the community is a rewarding aspect of the tech journey.

Takeaways

• Senior executives are pushing for AI strategies.
• Technology decisions should prioritize human readiness.
• Critical thinking skills are essential for AI use.
• Understanding user comfort with technology is crucial.
• Business objectives must guide AI implementation.
• Evaluating use cases is key to effective AI strategy.
• Training and iteration are necessary before AI deployment.
• Human beings should be at the center of AI strategy.
• AI should support clear business objectives.
• The right technology must align with user capabilities.

Takeaways

• The tool provides a starting point for selecting low-code platforms.
• Niels de Bruijn has a rich background in tech and consultancy.
• Understanding user needs is crucial for platform selection.
• The tool includes demo videos for better user experience.
• AI integration is rapidly evolving in low-code platforms.
• Consultancy work is essential even after using the tool.
• The tool is free and does not require user tracking.
• Different platforms cater to different use cases.
• Consolidation of platforms is a common trend in organizations.
• The tool helps in navigating the complex low-code landscape.

Takeaways

• Mike Hichwa has been involved in low-code development since the early days of Oracle Forms.
• The transition from traditional coding to low-code has empowered citizen developers.
• Low-code is fundamentally about creating models that abstract complex coding tasks.
• AI is poised to significantly influence the adoption of low-code platforms.
• Technical debt is becoming a major concern for organizations in application development.
• Collaboration between citizen developers and IT professionals is essential for success.
• User experience experts play a critical role in application development.
• Low-code platforms can help reduce the complexity of application development.
• Understanding the model behind low-code solutions is crucial for effective use.
• Vibe coding can be a useful tool for prototyping but has limitations.

Takeaways
-Low code has been around longer than the term itself.
-The shift towards custom development is becoming more prevalent.
-Agile methodologies can be applied beyond software engineering.
-Citizen development requires proper support and governance.
-Data is the foundation of effective application development.
-Technical debt accumulates when changes are made without proper management.
-AI can enhance low-code platforms but does not eliminate the need for governance.
-Understanding the unique business processes is crucial for successful implementation.
-The project team must clearly understand the value they aim to deliver.
-Good design and data stewardship are essential for enterprise applications.

Takeaways
-Sean Allen has a long history in low-code development.
-Retool focuses on professional developers to solve enterprise app challenges.
-Vibe coding is a term that has been overloaded in the industry.
-Generative AI is changing the landscape of application development.
-A common platform is essential for collaboration between developers and domain experts.
-Professional developers will still play a crucial role in app development.
-Product managers can now create applications using natural language.
-Retool aims to provide a secure environment for enterprise applications.
-The barriers to building applications have been significantly lowered.
-Retool's approach is about solving the right problems, not just checking boxes.

Takeaways

• User adoption is essential for technology to add value.
• Digital transformation should start with understanding business processes.
• Change management is often the bottleneck in low-code projects.
• Executive sponsorship is crucial for project success.
• Citizen development can lead to unmanageable applications.
• Data integrity is vital for AI and low-code success.
• Low-code development requires a collaborative approach between IT and business.
• Vibe coding may complicate existing codebases.
• ThinkWise focuses on enterprise-grade low-code applications.
• Technology should never become legacy; it must evolve.

Takeaways

• The AI application platform race is rapidly evolving.
• Data integration and orchestration are critical for organizations.
• Adam Seligman's journey highlights the importance of understanding diverse developer needs.
• AI's potential lies in transforming business processes, not just enhancing productivity.
• Organizations should focus on measurable business outcomes when implementing AI.
• The transition from pilot projects to production requires careful governance and risk management.
• Vibe coding platforms can enhance the development of enterprise applications.
• A clear evaluation set is essential for assessing AI project success.
• IT departments must ensure that various systems work together seamlessly.
• The industry must learn from past mistakes to avoid pitfalls in AI deployment.

Takeaways
-AI governance is crucial for enterprise success.
-The foundations of AI pose significant risks that must be managed
-Outlawing AI leads to unregulated use.
-Proper governance can mitigate AI risks.
-Data security is paramount in AI governance.
-The VRPP framework helps assess AI value and risk.
-Centers of excellence are vital for AI implementation.
-Understanding AI's non-deterministic nature is essential.
-Rigor in AI projects is necessary to avoid pitfalls.
-Collaboration with established firms like Microsoft enhances governance. 

Takeaways

• FinOps is essential for managing cloud costs effectively.
• Understanding platform operations is crucial for financial performance.
• AI presents both opportunities and challenges for FinOps professionals.
• Data management in FinOps is complex and requires sophisticated tools.
• Governance in AI usage is critical to avoid unnecessary spending.
• The role of FinOps is growing as companies invest more in technology.
• Effective communication between finance and engineering is vital.
• Automation can significantly improve forecasting processes.
• Empowering teams to self-serve with data tools enhances efficiency.
• The FinOps Foundation is a valuable resource for best practices.

Takeaways

• Low-code development is gaining traction due to AI advancements.
• Technical debt remains a significant challenge for organizations.
• The role of systems integrators is crucial in navigating low-code implementations.
• AI can accelerate development but requires careful management.
• Vendor lock-in concerns are leading to a preference for composable architectures.
• Process design and orchestration are essential for successful low-code applications.
• Organizations must focus on remediating technical and process debt.
• The future of low-code will involve deeper integration with AI technologies.
• Understanding business processes is key to effective low-code solutions.
• Innovation in low-code is driven by a combination of technology and human expertise.

Takeaways

• Marshall Sied emphasizes the importance of education in automation.
• Organizations are increasingly conflicted about AI and automation.
• Value realization is crucial for successful automation projects.
• Continuous deployment methodologies are essential for achieving value.
• Governance is critical in managing automation technologies.
• Experimentation is encouraged in the current automation landscape.
• Orchestration is becoming a key focus for automation companies.
• Capability mapping should precede tool mapping in technology selection.
• Organizations need to be cautious with low-code and AI technologies.
• The future of applications will involve more productization and composability.

Takeaways

• The intersection of process and technology is crucial for optimization.
• Documentation and modeling are essential for managing AI changes.
• AI should be viewed as a digital assistant, not a replacement for human roles.
• Organizations must start with outcomes to drive effective change.
• Understanding the technology landscape is vital for successful implementation.
• Data quality is more important than quantity in decision-making.
• Reimagining processes can lead to significant improvements in efficiency.
• AI can amplify both good and bad processes, necessitating careful management.
• Consulting practices should focus on empowering business users with data.
• Future customers will be those who experience the processes firsthand.

Takeaways

• Nick Cawthon's journey into design began with a childhood experience of flow state.
• The design industry is currently experiencing significant changes and flux.
• AI is reshaping user experience, making it more about emotions than interfaces.
• Designers must focus on qualitative research to understand user emotions.
• Efficiency in design must not compromise the effectiveness of user experience.
• Understanding user experience in 2025 requires a holistic approach.
• The relationship between designers and developers is evolving positively.
• Tools like Figma are crucial for collaboration in design and development.
• Mitigating risks in design is essential to avoid dead-on-arrival products.
• The human element in design remains irreplaceable despite technological advancements.

Takeaways

• Orchestration is broader than just workflow; it automates end-to-end business processes.
• Integration and orchestration are increasingly becoming integrated disciplines.
• Governance is essential for effective orchestration and cannot be an afterthought.
• AI can significantly enhance business processes when integrated effectively.
• Organizations should have a unified integration team to address various integration challenges.
• Mid-size organizations tend to favor integrated platforms due to skill limitations.
• The complexity of integration challenges varies, requiring different technological solutions.
• Trust in AI is growing as organizations find well-defined use cases for its application.
• Data integration and application integration are complementary and should be considered together.
• The trend is towards platforms that offer a comprehensive suite of services for application development.

Takeaways

• India is a service-based economy with a growing low-code market.
• SMEs are leading the adoption of low-code technologies in India.
• Indian vendors like Zoho and Kissflow cater effectively to SMEs.
• Low-code helps organizations achieve rapid prototyping and automation.
• AI is expected to significantly boost low-code adoption in India.
• Governance and maturity in low-code practices are still developing.
• Professional developers are complementing their work with low-code tools.
• Industrial organizations are slowly adopting low-code for operational efficiency.
• Citizen development is in its early stages in India.
• The partnership between IT service firms and low-code vendors is crucial for growth.

Takeaways

• Low-code platforms are evolving and becoming more powerful.
• Agile practices can be adapted to low-code development.
• The role of product owners is critical in low-code projects.
• Citizen development has its challenges and misconceptions.
• AI can enhance productivity but requires quality inputs.
• Testing ideas in small batches can lead to better outcomes.
• Effective communication is key in Agile and low-code environments.
• Training and coaching can significantly improve Agile adoption.
• The future of development may involve more AI integration.
• Understanding user feedback is essential for successful projects.

Takeaways

• Governance is essential for successful citizen development.
• Antigoni Kourou emphasizes the importance of balancing innovation and control.
• Organizations must identify individuals willing to digitalize processes.
• Choosing the right platform is crucial for enabling innovation.
• Processes must be established to guide citizen developers.
• Data governance is a significant challenge for enterprises.
• AI can aid in governance but also introduces new risks.
• An adaptive governance model can cater to different organizational needs.
• Collaboration between business and IT is vital for effective governance.
• Governance frameworks should evolve with organizational maturity.

Takeaways

• Low-Code is a transformative approach to software development.
• Automation methodologies help businesses identify where to start.
• AI agents represent the next evolution of automation.
• Orchestration is crucial for integrating various automation tools.
• Governance should be prioritized in AI implementations.
• Businesses must adapt to new technologies to remain competitive.
• The future will see a shift from services to software.
• Collaboration between humans and AI agents is essential.
• Understanding the unique strengths of different technologies is key.
• Building responsible AI agents is critical for trust and effectiveness.

Takeaways

• Daniel Meyer shares his journey from sound engineering to process automation.
• AI is viewed through the lens of automation at Camunda.
• The evolution from manual processes to task automation is crucial.
• Measuring productivity gains is essential but not the end goal.
• Personalization of customer experiences will define future success.
• BPMN serves as a bridge between business and IT.
• Dynamic execution patterns in BPMN can accommodate AI decision-making.
• Robust orchestration is necessary for integrating various technologies.
• The definition of applications is shifting towards unstructured interactions.
• The future of business processes will be more autonomous and proactive.

Takeaways
-AI has revolutionized application development processes.
-Citizen development empowers business users to create solutions.
-Governance is essential in managing AI implementations.
-Creativity will be a key skill in the future workforce.
-AI can significantly reduce the time from ideation to production.
-Tech debt remains a critical concern in AI development.
-Successful AI applications can emerge from simple ideas.
-The role of business analysts is evolving with AI tools.
-AI can enhance productivity by automating administrative tasks.
-Collaboration between business and tech teams is crucial for success.

Takeaways
-Nathan Rose has 15 years of experience in low-code.
-Functional architects focus on user needs rather than technical coding.
-AI is a significant theme in low-code development.
-Deterministic automation is effective for known processes.
-Stop catastrophizing about AI; it's an opportunity.
-Hands-on experience with AI can lead to new opportunities.
-Governance in AI and low-code is crucial to prevent issues.
-The future of low-code professionals may require new skills.
-Domain expertise will remain valuable in the age of AI.
-AI will change the landscape of many jobs, creating new opportunities.

Takeaways

• Power Platform has evolved significantly over the years.
• Citizen developers play a crucial role in low-code adoption.
• AI is reducing barriers for non-technical users to engage with low-code tools.
• Community support is essential for low-code success.
• Governance is necessary to manage risks associated with low-code development.
• The future of SaaS may lean towards custom development with low-code solutions.
• Agents will transform how businesses automate processes.
• Low-code tools should be accessible to a broad audience.
• Training and change management are vital for low-code adoption.
• The integration of AI will enhance the capabilities of low-code platforms.

Takeaways

• Low-code platforms are revolutionizing application development.
• Pega's Launchpad offers an end-to-end solution for SaaS.
• AI integration is crucial for modern software development.
• The shift from traditional coding to low-code is significant.
• Private equity sees potential in low-code solutions.
• Companies can focus on unique IP rather than infrastructure.
• Launchpad simplifies the development process for software providers.
• The future of software is about delivering outcomes efficiently.
• Low-code enables faster time-to-market for applications.
• Understanding the model is key to leveraging low-code effectively.

Takeaways
-It's important to have a plan but also let life reveal its plan.
-Hyland focuses on business outcomes, not just document retention.
-Low code is critical for enabling organizations to meet their processes.
-Engaging business users is essential for successful deployments.
-Hyland has deep expertise in regulated industries.
-AI has been a part of automation for decades.
-The future of enterprise technology will be radically different.
-Agents will replace business processes, not people.
-Generative models can structure unstructured data effectively.
-Hyland is positioned at the confluence of AI and mission-critical data.

Takeaways

• Rafsan's journey from economics to citizen development highlights the importance of improving workflows.
• The shift in dynamics between business and IT is crucial for successful low-code implementation.
• Change management is essential for engaging users in the development process.
• The PMI framework provides a structured approach for citizen developers.
• AI governance is necessary to mitigate risks associated with AI implementation.
• Every organization is becoming a software company, necessitating a shift in mindset.
• Understanding business needs is critical for IT professionals.
• Citizen developers can evolve into pro-code developers with the right tools and training.
• AI should be used where reasoning capabilities are needed, not for simple automation tasks.
• Becoming a domain expert is key to leveraging AI effectively.

Timestamps
02:01 - Rafsan's Journey to Citizen Development

05:52 - The Shift Between Business and IT

09:46 - The Role of Software in Business

12:34 - Change Management in Citizen Development

17:00 - Insights from the Project Management Institute

21:04 - Navigating the AI Landscape

26:30 - Preparing for an AI-Driven Future

Takeaways

• Citizen development empowers business people to innovate.
• Understanding customer needs is crucial for process improvement.
• RPA can bridge gaps between systems and improve efficiency.
• AI is changing the landscape of business applications.
• Collaboration between business and IT is essential for success.
• Citizen data scientists can drive significant value through data analysis.
• Organizations should encourage citizen innovation and scouting.
• Training in technology is important but mindset matters more.
• Democratizing technology leads to better customer experiences.
• Leadership should incentivize and support innovation efforts.

Timestamps
05:03 - The Evolution of RPA and Citizen Development

10:16 - Understanding Citizen Data Scientists

15:09 - The Role of Business in Automation

19:56 - AI's Impact on Business Applications

25:16 - Encouraging Innovation in Enterprises

Takeaways

• Zoho has been a pioneer in low-code since 2005.
• AI features in low-code are becoming commoditized.
• The integration of AI can enhance programmer productivity significantly.
• Ideal low-code customers have technical and domain knowledge.
• Zoho is evolving to meet the needs of larger enterprises.
• Governance and compliance are critical for low-code adoption.
• Zoho uses open-source databases to enhance performance.
• The company is investing heavily in security and privacy compliance.
• Professional tools are available for low-code users to manage software lifecycle.
• The future of low-code includes a blend of AI and traditional programming.

Takeaways

• Low code platforms are revolutionizing application development.
• Empowering non-technical users is essential for success.
• Reusability in low code is a key factor for efficiency.
• AI is becoming a critical component in low code development.
• Governance frameworks are necessary for managing low code projects.
• The shift from building to buying applications is underway.
• Digital transformation is driven by low code solutions.
• Successful low code implementations require collaboration and sharing.
• The future of applications lies in low code and AI integration.
• Organizations must adapt to the changing landscape of software development.

01:37 - Richard Billington's Journey in Low Code

05:38 - The Evolution of Low Code Platforms

09:12 - The Importance of Reusability in Low Code

11:06 - Sector-Specific Solutions and Collaboration

13:17 - Empowering Non-Technical Users

17:07 - Challenges and Resistance in Adoption

19:28 - The Shift from Building to Buying Applications

24:10 - Success Stories: Network Rail's Digital Factory

28:39 - Integrating Customer Engagement with Low Code

32:36 - AI's Role in the Future of Low Code

Takeaways

• AI will eliminate a huge number of jobs.
• The impact of AI depends on company strategy.
• You have to be really outcome-focused.
• Probabilistic models can magnify sloppy thinking.
• You need a mix of technologies for effective decision-making.
• Engagement between business and IT is crucial.
• Measuring effectiveness in IT investments is challenging.
• Data availability is key to decision-making.
• Human oversight is essential in AI applications.
• Regulatory challenges may hinder AI adoption.

Timestamps
•  05:17 - The Impact of AI on Jobs and Business Strategy
•  11:05 - Measuring Effectiveness in IT Investments
•  21:24 - Mixing Deterministic and Probabilistic Approaches
•  27:42 - Decision Modeling and High Volume Transactions
•  32:45 - Human Involvement in Decision Processes
•  39:31 - Holistic Automation Strategies

Takeaways

• 2025 is set to be a transformative year for low-code.
• Vijay Tella's journey reflects the evolution of integration technologies.
• A growth mindset is crucial for clients looking to innovate.
• Integration and orchestration are central to low-code success.
• AI can enhance process optimization but requires careful governance.
• The build vs. buy debate is nuanced and context-dependent.
• Trust and control are essential in AI applications.
• Understanding the customer journey is key to effective orchestration.
• Workato aims to simplify integration for broader accessibility.
• The future of low-code lies in reimagining processes and experiences.

Timestamps

• 03:15 - Vijay Tella's Journey into Tech and Automation
• 06:10 - The Ideal Client: Growth Mindset and Systems Thinking
• 08:55 - Integration and Orchestration: The Heart of Workado
• 12:18 - AI's Role in Process Optimization and Integration
• 15:10 - Build vs. Buy: Navigating Client Needs
• 20:10 - Governance and Guardrails in AI Applications
• 24:18 - The Future of Workado: Trust and Predictability in AI

Takeaways

• Nintex is undergoing a rebranding exercise to enhance its market presence.
• Niranjan's background includes significant experience in engineering and product management.
• The future of organizations lies in building solutions on low-code platforms.
• Nintex aims to provide a comprehensive automation platform for mid-market organizations.
• AI integration is crucial for enhancing the capabilities of low-code platforms.
• Nintex's growth is driven by a shift from on-prem to cloud solutions.
• The platform is designed to solve a wide range of business processes.
• Nintex is focusing on building packaged solutions for specific industries.
• The ideal customer profile includes mid-market organizations with specific automation needs.
• The conversation highlights the importance of understanding customer requirements in product development.

Takeaways

• Automation is essential for successful digital transformation.
• Most processes are more similar than different, allowing for reuse.
• AI should be viewed as a tool, not a replacement for human oversight.
• Orchestration is crucial for managing complex processes effectively.
• Businesses must collaborate closely with IT for successful automation.
• The hype around AI and automation can lead to misguided efforts.
• Understanding edge cases is vital for effective process automation.
• Transparency and explainability are critical in regulated industries.
• Rushing into new technologies without understanding can be detrimental.
• Personal experiences can provide valuable insights into business processes.

Timestamps

• 02:30 - Leigh Michl's Journey to Ultimus
• 09:31 - The Role of AI in Process Automation
• 12:38 - The Importance of Orchestration
• 20:49 - The Need for Business Involvement in Automation
• 25:59 - Ski Racing and Personal Stories

Takeaways

• AI fluency is essential for modern design practices.
• Collaboration between product, design, and engineering is crucial.
• Healthy working relationships foster innovation.
• AI can democratize app creation for non-professionals.
• User experience design is evolving with AI capabilities.
• Expectations around AI need to be managed carefully.
• The future of user experience will be more fluid and intuitive.
• AI can enhance traditional board games with immersive experiences.
• Understanding AI's limitations is key to effective use.
• The role of a master inventor involves mentoring and innovation.

Timestamps

• 00:00 - Introduction to Low-Code and AI in Design
• 05:00 - Laura Rodriguez: Journey to Master Inventor
• 06:23 - The Role of a Master Inventor at IBM
• 08:17 - Collaboration Between Product, Design, and Engineering
• 13:19 - AI's Impact on Design and User Experience
• 20:23 - Future of User Experience with AI
• 26:59 - Navigating Risks in AI Development
• 31:00 - AI as a Co-Pilot in Low-Code Development
• 36:12 - The Intersection of Board Games and Technology

Takeaways
• Low code is gaining traction due to frustrations with legacy systems.
• Model-driven development is key to effective software solutions.
• AI is transforming how applications are built and managed.
• Pega's approach focuses on creating models rather than writing code.
• The transition to low code requires cultural change within organizations.
• Blueprint allows users to visualize and create applications easily.
• Legacy systems create significant technical debt that needs addressing.
• Pega Cloud simplifies operational complexity for businesses.
• The Launchpad offers a new way for ISVs to build applications.
• Generative AI enhances the development process by providing best practices.

Takeaways

• Low code is a journey that requires organizational change.
• SAP's influence is significant in promoting low code adoption.
• Cultural factors in Germany emphasize structured processes.
• The Low-Code Association aims to advance low code in enterprises.
• Citizen development is gaining traction but is still behind the US.
• Smaller firms face challenges in adopting low code due to budget constraints.
• AI is seen as a key enabler for low code and process automation.
• Education and governance are crucial for successful low code implementation.
• Public sector projects are increasingly utilizing low code solutions.
• The DACH region has a vibrant low code community with diverse platforms.

Takeaways

• Evaluative research is designed to help buyers make complex decisions.
• Analysts provide insights but buyers often simplify their findings.
• Crowdsourced feedback can be valuable but lacks nuance.
• Understanding your needs is crucial for effective decision-making.
• There is no universal leader in the market, only leaders for specific needs.
• The evaluative research process must adapt to rapid market changes.
• Feedback from users is essential for refining evaluative research.
• A tailored approach to evaluative research can enhance buyer experience.
• The importance of collaboration between vendors and analysts is emphasized.
• Future evaluative research will focus on real-time updates and broader vendor inclusion.

Takeaways

• Citizen development is a significant and evolving topic.
• Kissflow was born from the need to democratize application development.
• Excel remains one of the most successful low-code tools.
• The Chief Digital Officer plays a crucial role in digital transformation.
• Identifying the right individuals for citizen development is key.
• Generative AI can help bridge the semantic gap in application development.
• The 3% figure represents the potential citizen developers in an organization.
• Kissflow aims to empower business users to create applications easily.
• Disposable applications can be created using generative AI.
• The future of low-code development is promising with advancements in technology.

Timestamps

• 02:27 - The Origins of Citizen Development and Low-Code Platforms
• 10:47 - Target Customers for Low-Code Platforms
• 14:05 - Selling Platforms vs Solutions
• 17:00 - The Role of CDOs in Driving Transformation
• 19:08 - Different Use Cases for Low-Code Platforms
• 23:39 - Unlocking the Potential of Citizen Development
• 29:14 - Characteristics of Successful Citizen Developers
• 33:44 - Addressing the Semantic Gap in Citizen Development
• 36:14 - The 3% Rule: Process Knowledge and Organizational Authority
• 37:51 - Disposable Applications: A Future Possibility of Low Code

In this episode of Lowdown on Low-code, hosts Rob Koplowitz and John Rymer engage with Raveesh Dewan, CEO of Joget, to discuss the critical role of a Center of Excellence (COE) in the adoption of low-code platforms. Raveesh shares his journey into the low-code space, the evolution of Joget, and the importance of establishing a COE to facilitate technology adoption within organizations. The conversation covers the challenges of setting up a COE, the necessary investment and commitment, the roles within a COE, and the relationship between COE and IT. Raveesh emphasizes that a COE should serve as a coach rather than a gatekeeper, fostering collaboration and ensuring that technology is used effectively across the organization. The episode concludes with insights on the longevity and evolution of COEs as organizations adapt to changing needs.

Takeaways

• Establishing a COE is a complex task that requires careful planning.
• A COE should focus on facilitating and supporting delivery teams, not controlling them.
• Senior management commitment is crucial for the success of a COE.
• The right mix of technology knowledge and organizational understanding is essential for COE members.
• Building relationships with delivery teams is key to a COE's effectiveness.
• COEs should be seen as coaches, not gatekeepers.
• Investment in a COE should be long-term, not short-term.
• COEs must adapt to changes in personnel and organizational goals.
• The COE's role is to ensure technology is used appropriately and effectively.
• A COE should evolve over time, but never fully disappear as long as technology is in use.

Timestamps

• 09:18 - Introduction to Joget and the COE
• 10:58 - Senior Management Commitment and Resource Investment
• 22:55 - Roles and Reporting Structure in the COE
• 24:53 - Mapping Technology Capabilities to Organizational Needs
• 26:45 - COE as a Path to Accelerate Delivery
• 30:37 - Evolution and Longevity of the COE

• Automation Anywhere has evolved from traditional RPA to Gen 3 automation, which combines RPA with machine learning and AI.
• Their platform focuses on AI agents, process orchestration, and solution accelerators to deliver measurable business outcomes.
• Automation Anywhere competes with Microsoft in the automation space but differentiates itself by providing enterprise-level automation solutions.
• The convergence of marketing terms and the complexity of the automation market can confuse customers, but the focus should be on solving specific business problems.
• Customers value the ability to quickly deploy automation solutions and see tangible results, which Automation Anywhere enables through their platform.

  
  

Takeaways

• UiPath has evolved its product strategy and offerings over the past 20 months to create a more unified developer and administrative experience for end-to-end automation.
• Agentic AI is a concept that involves AI making more complex decisions and recommendations, while still involving humans in the loop for validation and critical decision-making.
• UI automation still plays a crucial role in business transformation, especially for legacy systems and processes that are not yet ready for complete reimagining.
• UiPath collaborates with other companies, such as SAP and Microsoft, to provide seamless end-to-end automation solutions and leverage their respective strengths.
• The role of UI automation in the broader low code world is still relevant, as there are specific use cases where deterministic decisions and reliability are essential. Policies, rules, and governance are crucial in automation, while AI complements them by enabling proactive and adaptive work.
• AI is not yet advanced enough to replace the capabilities of RPA and automation.
• AI expands the set of use cases for automation, allowing for more front-end, flexible, and adaptive work.
• UiPath's partnership with Microsoft integrates Copilot and Autopilot to enable action and complete work across different systems.

👉 For more interactive sessions with our hosts and industry experts, visit analysis.tech.

Timestamps

00:10 - Introduction and Background

03:20 - Evolution of UiPath's Product Strategy and Offerings

12:18 - Understanding Agentic AI and its Role in UiPath

16:02 - The Role of UI Automation in Business Transformation

20:16 - Collaboration with Other Companies in the Automation Space

27:25 - UI Automation in the Low Code Landscape

29:26 - The Role of AI in Automation and the Importance of Policies and Governance

31:49 - Expanding the Set of Use Cases for Automation with AI

32:49 - The Limitations of the Chat Metaphor and the Integration of Copilot and Autopilot

36:17 - Process Orchestration and Modeling Processes

Tune in now and get the Low Down on Low-Code! 🎧

Takeaways:

• ServiceNow’s Low-Code Platform: Understand the core features and historical evolution of ServiceNow’s low-code platform, App Engine.
• AI Integration: Learn how ServiceNow integrates AI into its platform for enhanced productivity and process automation.
• Customer-Centric Innovation: Discover how ServiceNow’s platform is designed to meet the diverse needs of various business personas, from seasoned developers to non-technical users.
• Future of IT and Business Collaboration: Gain insights into the evolving dynamics between IT departments and business users in the context of low-code and AI.

👉 For more interactive sessions with our hosts and industry experts, visit analysis.tech.

Timestamps:

• Rob Koplowitz Introduction - 00:09
• John Rymer’s Background - 01:02
• Introducing Jithin Bhasker - 01:46
• ServiceNow's History and Low-Code Vision - 02:35
• Jithin's Career Journey - 06:41
• ServiceNow's Platform Strategy - 07:51
• Role of AI in ServiceNow's Low-Code Platform - 16:53
• Consolidation and Governance in Low-Code - 22:56
• Continuous Improvement with Process Intelligence - 22:56
• Future of IT and Business Collaboration - 27:20
• Closing Remarks - 28:15

Tune in now and get the Lowdown on Low-Code! 🎧

Don't miss this insightful conversation that explores the past, present, and exciting future of low code technology! If you've been enjoying the podcast, please like, share, and subscribe to help us spread the word.

👉 For more interactive sessions with Rob, John, and other industry experts, visit analysis.tech.

Timestamps:

• 01:06 - John Rymer introduces himself and shares an anecdote about his first encounter with Paulo Rosado.
• 03:06 - Paulo Rosado talks about his early career and the inception of OutSystems.
• 05:34 - The discussion shifts to the importance of reducing the cost of change in software development.
• 08:22 - Paulo describes the types of projects OutSystems excels at and the criteria for choosing build vs. buy.
• 10:22 - Insights on the changing landscape of business processes and their impact on software solutions.
• 17:11 - Rob and Paulo discuss the evolving relationship between business and IT in the context of low-code.
• 21:23 - Quick commercial break for analysis.tech, the company behind the show.
• 22:59 - The conversation turns to the integration of process and orchestration in low-code platforms.
• 25:46 - John Rymer dives into the role of AI in low-code development and its future potential.

Tune in now and get the Lowdown on Lowcode! 🎧

Ed shares his journey in the tech industry, from his early days at Fujitsu to leading QuickBase through its impressive 25-year milestone. Discover how QuickBase has evolved to become a pivotal player in empowering businesses with low code solutions, especially in complex industries like construction, manufacturing, and state and local governments.

The discussion also covers:

• The origins and evolution of low code.
• The unique challenges and opportunities in big physical industries.
• How QuickBase is democratizing software with AI-driven tools like Smart Builder and Data Analyzer.
• The future of low code and the role of AI in transforming digital process automation.

Don't miss this insightful conversation that explores the past, present, and exciting future of low code technology! If you've been enjoying the podcast, please like, share, and subscribe to help us spread the word.

👉 For more interactive sessions with Rob, John, and other industry experts, visit analysis.tech.

Timestamps: 
00:08 - Introduction and Call to Action 
00:30 - Rob's Journey in Low Code 
01:03 - John's Contribution to the Low Code Movement 
02:27 - Ed Jennings on QuickBase's History and Mission 
04:00 - Ed's Background and Introduction to Tech 
06:38 - QuickBase's Market Strategy and Industry Focus 
14:35 - Challenges and Red Flags in Low Code Adoption 
18:30 - The Role of IT in Low Code Implementation 
19:11 - User Evolution and Success Stories 
21:25 - AI and QuickBase's Product Roadmap 
22:11 - Future Vision for AI in Low Code

Tune in now and get the Lowdown on Lowcode! 🎧

Andy and Dave share their journeys in the tech industry, discussing their experiences and insights into the evolution of low code technology. Discover how low code solutions are transforming various industries and empowering businesses to achieve greater efficiency and innovation. This conversation serves as a kick-off point for future Analysis.tech research, delving deeper into the impact and potential of low-code solutions.

The discussion also covers:

• The origins and evolution of low code.
• Unique challenges and opportunities in adopting low code solutions.
• How low code is democratizing software development.
• The role of AI in enhancing low code platforms.
• Future trends and predictions for low code technology.

Don't miss this insightful conversation that explores the past, present, and exciting future of low code technology! If you've been enjoying the podcast, please like, share, and subscribe to help us spread the word.

👉 For more interactive sessions with John, Andy, Dave, and other industry experts, visit analysis.tech.

Timestamps:
00:08 - Introduction and Call to Action
00:30 - John's Journey in Low Code
01:03 - Andy's Contributions to the Low Code Movement
02:27 - Dave's Background and Introduction to Tech
04:00 - The Evolution of Low Code Technology
06:38 - Market Strategies and Industry Focus
14:35 - Challenges and Opportunities in Low Code Adoption
18:30 - The Role of AI in Low Code Platforms
19:11 - User Evolution and Success Stories
21:25 - Future Predictions for Low Code Technology

Tune in now and get the Lowdown on Low-Code! 🎧

Takeaways: 
• Bizagi started as an ERP development company and later transitioned to developing workflow solutions based on Lotus Notes and Microsoft Exchange.
• The company realized the need for adaptability in software and embraced model-driven technologies, leading to the creation of Bizagi.
• Bizagi leverages AI capabilities to empower business users and improve decision-making through conversational analytics and actionable insights.
• Successful low code deployments involve creating fusion teams that include both business and IT professionals, with clearly defined roles and collaboration.
• The future of low code development includes the ability to create applications through natural language interactions and the symbiotic collaboration between AI and humans.

👉 For more interactive sessions with our hosts and industry experts, visit analysis.tech.

Timestamps: 
00:00 Introduction and Background
03:13 The Journey of Bizagi in Low-Code Development
08:09 The Importance of Business Involvement in Low Code Development
26:11 The Future of Low-Code: Natural Language Application Creation
32:11 Creating Successful Enterprise-wide Deployments of Low-Code
41:18 Catering to the Information Requirements of Process Participants and Business Managers in Low-Code

Tune in now and get the Lowdown on Low-Code! 🎧

After this episode, Low Down on Low-Code will shift gears and chat with some important vendors in the low-code and DPA space. We have a number of great guests coming on we're delighted to announce the first three:

Appian's SVP of Strategy, Malcolm Ross

Mendix's Chief Growth Office, Nick Ford

Camunda's Founder and CEO, Jakob Freund

These three vendors represent very different and important approaches to this market. We're thrilled to have them over the next three podcasts.

Hint: It starts with caring about great experiences, is supported by well designed low-code and DPA tools and excels with the support of great designers and tools like Figma.