AI Innovation meets AppExchange Aquiva Labs - Salesforce Summit Partner

How is Generative AI Shaping Competitive Intelligence in Salesforce? What Impact Does OpenAI Integration Have on Product Functionality? How Does Kompete.ai Address Ethical and Compliance Challenges in AI?
In this insightful episode, Jakub Stefaniak hosts David VanHeukelom, founder of Kompete.ai, to discuss the transformative role of generative AI in Salesforce's ecosystem. David, with his extensive experience in the Salesforce ecosystem, delves into how Kompete.ai leverages OpenAI to enhance its competitive intelligence capabilities, focusing on features like win-loss analysis and customer profiling.
The conversation also highlights the ethical and compliance dimensions of AI integration. David emphasizes the importance of data security and user privacy, ensuring customers have control over their data when interacting with AI. This reflects Compete.ai's commitment to aligning AI integration with ethical standards and regulatory compliance.
The episode concludes with a perspective on the future of AI in Salesforce, indicating a trend towards more sophisticated AI integrations while maintaining the crucial human element in strategic decision-making. David's insights provide a comprehensive view of the challenges and opportunities AI presents in the Salesforce AppExchange ecosystem.

In this podcast episode, Jakub Stefaniak interviews Fernando Israel, CEO at Kognoz. The conversation revolves around strategies for AI integration, ways to differentiate in an AI-driven market, and ethical considerations when incorporating AI into business applications.
Fernando shares insights on the impact of AI in the business application landscape. He explores strategies for businesses to effectively integrate AI, emphasizing the need for innovation while maintaining a customer-centric approach. The discussion covers topics such as automating processes, personalization, and user experience.
Additionally, Fernando discusses the ethical and compliance challenges that come with AI integration, highlighting the importance of balancing AI adoption with effective problem-solving tailored to specific business needs. The episode concludes with a focus on AI's role in enhancing productivity while acknowledging the continued importance of human expertise.

What are the challenges and considerations in monetizing AI features within Salesforce applications? How can companies balance the cost implications of AI with the need to provide substantial added value to their customers? What are the key factors to consider when integrating Gen AI into Salesforce applications?
In this podcast episode, Jakub Stefaniak interviews Francois Lopitaux, the Chief Product Officer at Odaseva. A significant part of the conversation revolves around the role of generative AI in the Salesforce ecosystem. Francois emphasizes the importance of integrating Gen AI not merely for its innovation but for its relevance to the company's mission and customer expectations. He likens the transformative impact of Gen AI to the introduction of the iPhone, stressing the need for thoughtful adoption considering data privacy and usage.
The discussion then moves to the monetization of AI features, underscoring the costs involved and the necessity for AI applications to provide substantial added value. Francois advises starting with basic AI models and progressively enhancing them, rather than aiming for perfection initially.
Furthermore, this episode covers challenges in keeping up-to-date with AI advancements, and the importance of security and compliance in AI applications.
Overall, the episode provides a comprehensive view of the evolving use of AI in the Salesforce ecosystem, highlighting practical applications, ethical considerations, and the necessity of aligning AI with both business objectives and customer needs.

How is Generative AI Transforming the Salesforce AppExchange Ecosystem? What Strategies Can ISVs Employ to Differentiate in an AI-Driven Market? How Do Ethical and Compliance Challenges Shape AI Integration in Business Applications?
In this episode, Jakub Stefaniak talks with Krishna Tata, who has a rich background in developing products for Salesforce ISV partners and currently leads application engineering at Google. The discussion centers on the impact of generative AI in the Salesforce AppExchange ecosystem.
The conversation explores how ISVs can differentiate themselves in a market rapidly adopting AI, with Krishna advising on leveraging Salesforce innovations and focusing on automation, personalization, and user experience. She stresses the importance of balancing AI adoption with effective problem-solving, tailoring solutions to specific business needs.
Krishna also delves into the competitive dynamics of the AppExchange, predicting a more competitive future but recognizing the value this brings to end-users. She advises ISVs on the crucial decisions regarding AI model selection, considering factors like latency, intelligence, dataset richness, and compliance.
The episode concludes with a focus on AI's role in software development, acknowledging its significant impact on productivity while affirming the continued importance of human expertise.

How can AI improve the recruiting process, from CV review to candidate scoring? How to comply with international legal regulations, especially regarding data privacy and the use of artificial intelligence? What are the best practices to combat bias?
In this episode, Jakub Stefaniak speaks with Evgenii Pavlov, the founder and CEO of flair, a Salesforce-based HR and recruiting solution. They discuss the potential use cases of generative AI in HR and recruiting, focusing on the challenges of ensuring non-biased AI. 
Evgenii shares their company's experience with implementing AI, including automatic scoring of candidates and job description generation. They also discuss the importance of data security when sending candidate information to AI vendors. 
Finally, they discuss the challenges of staying on top of different legal requirements in different countries, especially when it comes to data privacy and AI usage. Evgenii emphasizes the importance of being able to switch off AI features and adjust to different regulations easily.

What is the potential of AI in data management? How can AI help with classifying data? Which AI tools can help in the service department's internal operations?
In this episode, Jakub Stefaniak chats with Andrew Hart, VP of Services at Own , a company that provides data backup solutions for Salesforce. They discuss the evolution of OwnBackup, which has expanded from a backup service to offering a range of AppExchange products. Andrew discusses the importance of data ownership, emphasizing that regardless of the platform used, the responsibility for data lies with the user.
They delve into the use of AI in data management, noting that while many companies are still exploring AI, it holds significant potential for enhancing data hygiene and governance. Andrew emphasizes that AI should not replace human interpretation but should work alongside it to provide insights and aid decision-making.
Discussing OwnBackup's products, Andrew reveals that they are exploring the potential of AI in classifying data, which could streamline and accelerate the process. However, he also raises concerns about the potential for AI to perpetuate historical biases and stresses the importance of human intervention in interpreting data.