In this episode of the Targeting AI podcast from AI Business, Manuel Haug, of Germany-based process mining vendor Celonis, discusses the intricacies of process mining and its integration with AI technologies. He explains how Celonis differentiates itself in the market, the evolution of its strategy in light of generative AI, and the practical applications of AI agents in various industries. Haug emphasizes the importance of operationalizing process mining findings and preparing for the future of work as the workforce ages. He also touches on the complementary nature of AI and traditional automation methods, such as RPA, and the need to capture organizational knowledge before it is lost.

Featuring: Manuel Haug, field CTO of Celonis

In this episode, we cover how:

• Process mining connects to various IT systems to analyze business processes.
• AI can improve and automate manual processes in companies.
• AI agents can assist human teams in decision-making.
• Operationalizing findings from process mining is crucial for improvement.
• The aging workforce necessitates capturing knowledge effectively.
• RPA and AI can coexist and complement each other in automation.
• Understanding processes is foundational for effective AI implementation.
• AI technology is becoming more reliable and powerful.
• The future of work will involve a blend of AI and human oversight.

To learn more about generative and agentic AI and RPA, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• 5 Benefits of Using Process Mining
• Process Mining Software Comparison: What CIOs Should Look at
• Top Enterprise Process Mining Challenges, Ways to Solve Them

If most sales representatives spend nearly a quarter of their time on administrative tasks, they are losing opportunities to generate revenue and be productive in sales. This is why Eilon Reshef of AI sales platform vendor Gong sees AI technology as a supportive co-worker that can offload menial admin tasks from sales agents so they can focus on their new jobs. He shares insights into Gong's mission to enhance sales team productivity and the importance of data in AI applications.

Featuring: Eilon Reshef, co-founder and chief product officer, Gong

In this episode, we cover how:

• AI's effectiveness is heavily dependent on the quality of data.
• "Gong" symbolizes success in sales.
• Agentic AI is about automating complex tasks intelligently.
• Sales roles are evolving, not disappearing, due to AI.
• The future of sales will involve more AI-driven insights.

To learn more about generative AI, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• AI and automation: Transforming sales CRM
• Phenom’s Acquisition: AI, Automation and the Future of Work
• Salesforce Launches AI Cloud to Bring Generative AI to the Enterprise

At the start of the mass popularity phase of generative AI, large language models were the star of the show. Vendors released bigger and newer models. However, the conversation has recently shifted from considering big or small models to a deep focus on data. In this episode of the Targeting AI podcast from AI Business, Yasmeen Ahmad, of Google Cloud, discusses the transformative effect of generative AI on the data landscape. She emphasizes the importance of treating data as a product, the shift toward multimodal data, and the role of AI agents in enhancing data management and decision-making processes.

Featuring: Yasmeen Ahmad, managing director of product management for data and AI Cloud, Google Cloud

In this episode, we cover how:

• The era of multimodal data is upon us, integrating various data types.
• Agentic AI enhances the understanding of unstructured data.
• Databases must evolve into cognitive reasoning engines for AI.
• Gemini Enterprise provides a unified platform for AI and data.
• Data security and responsibility are critical in AI deployment.

To learn more about the role data plays in generative AI, check out AI Business from Informa TechTarget, and please subscribe to our newsletter to keep up to date on the most important AI news.

To watch video clips from our podcast, subscribe to our YouTube channel, @EyeonTech.

References:

• Generative AI is the Future of Data Management
• Without Data There Is No AI
• Google Invests $40B in AI Data Centers in Texas