ConstellationTV episode 118 covers the latest enterprise tech developments, creative advertising solutions, and strategic pivots from leading organizations. Here are the main takeaways:

SAP’s Bold Move in AI Development

During SAP TechEd Berlin, SAP made a significant announcement regarding its AI innovation. For the first time, SAP released its own large language model (LLM), known as SAP RPT-1, a groundbreaking tool specialized in understanding and processing tabular data. As highlighted in the discussion, this move underscores SAP’s unique position in the enterprise software space, being the first to ship an AI model specifically tailored to meet business users’ needs in this domain.

SAP’s renewed focus on solving practical challenges for its users was another focal point. Instead of being consumed by AI hype, the company demonstrated a clear understanding of its customers' pain points. One major issue is the S/4HANA upgrade conundrum, where legacy code and architecture present substantial hurdles. SAP’s innovative use of AI to assist with ABAP code reviews and streamline transitions to their cherished “clean core” highlights their dedication to helping businesses future-proof their systems.

This marks a significant shift for SAP, finally bridging the gap between AI innovation and users’ pressing needs—a trajectory that other enterprise software companies should observe closely.

The IBM Quantum Revolution

Moving on to quantum computing, IBM’s Quantum Developer Conference showcased some groundbreaking milestones. Among the highlights were the successful proof of error correction enabled by the Lune processor and further hardware advancements with a novel IHOP processor. These developments reveal not only the technical leaps happening in the quantum computing space but also a growing interest in equipping developers to capitalize on this technology.

With over 500 quantum developers in attendance, it’s evident that quantum computing is reaching an inflection point, where theoretical research is transforming into practical applications. For businesses, harnessing quantum computing could soon mean better performance optimization, predictive analysis on an unprecedented scale, and a competitive edge in data-heavy industries. However, businesses must prepare for the learning and skill transition this shift demands.

Advertising Innovations and Business Strategy Pivots: Oracle Analytics-Driven Geotargeting Campaigns

ConstellationTV episode 118 features an interview with Scott Searcy, a CX Supernova Award winner. Scott shared insights into his geotargeting project, facilitated by Oracle Analytics Cloud, which is a prime example of how businesses can creatively leverage data. Initially born out of a zoning change that permitted new digital assets, Scott’s team used advanced analytics tools to overlay political boundary data with latitude-longitude maps.

The project resulted in highly precise advertising campaigns that targeted swing states during political races. By identifying these opportunities, Scott’s team not only increased revenue but also demonstrated the power of combining real-world scenarios like zoning changes with enterprise-level analytics.

The implications go beyond politics. These tools have expanded to more versatile use cases, including live events, sporting events, and concert series. Leveraging geotargeting to maximize revenue while minimizing waste is a masterclass in creative, data-driven advertising. Enterprises should examine this approach to optimize their advertising efforts.

Freshworks’ Strategic Pivot

Liz Miller provides commentary on Freshworks’ recent strategic pivot—perhaps the most instructive segment of this episode for business leaders grappling with organizational complexity. Freshworks, which had previously aimed for an ambitious full-platform engagement solution, recently shifted focus toward simplifying service delivery.

Freshworks identified a core challenge many organizations face: the chaos and complexity of managing expansive platforms across diverse audiences. By re-centering its efforts on improving both employee-facing and customer-facing service delivery, Freshworks embraced simplicity as its key to growth.

Liz captured the essence of this shift with a standout quote: “Freshworks has centered on this idea that complexity is the enemy of growth.” This philosophy not only redefines their offerings but showcases a leadership team willing to pivot boldly when the market demands it.

The company’s decision reflects the need for intentional focus in today’s fast-evolving landscape. In an era where companies often chase ambitious platform solutions, Freshworks demonstrates the value of listening to the market and staying sharply attuned to user needs—something many organizations can learn from.

Central to this pivot is their Chief Marketing Officer, Mika Yamamoto, whose leadership played a crucial role in reshaping Freshworks’ vision. Mika’s ability to address the dual challenges of internal complexity and external customer satisfaction epitomizes the kind of leadership required in turbulent markets.

Practical Applications of Artificial Intelligence

Throughout the segment, a recurring theme emerges: AI’s transition from hype to application. The conversation highlights recent trends where businesses are gradually moving away from fretting about AI’s potential to “replace jobs” toward exploring its more practical use cases to address persistent challenges.

Liz Miller observes that organizations are now asking tougher questions, like: “How can AI simplify my daily operations rather than make them more complex?” AI implementations in areas such as marketing, project management, and customer service are proving far more impactful than lofty claims that AI can solve issues beyond reach.

Yet, there’s a layer of disillusionment, too. While the technology’s potential remains vast, Liz warns that businesses must set realistic expectations for its current capabilities, especially regarding the tools and solutions promised to revolutionize workflows. Understanding the present limitations of AI is just as important as understanding its possibilities.

What Businesses Can Learn from Episode 118

  1. Enterprise Tech Success Lies in Addressing Real Problems: Both SAP and IBM serve as shining examples of how to effectively innovate within the tech space. From developing AI models rooted in functionality to pushing boundaries in quantum computing while providing accessible educational resources, these companies demonstrate that solving tangible business problems should take precedence over chasing headlines.

  2. Creativity in Advertising is Grounded in Data: Scott Searcy’s geotargeting campaign offers lessons beyond just political advertising. Businesses must learn to combine analytics with real-world constraints to uncover untapped opportunities, whether through location-based campaigns, event planning, or revenue optimization strategies.
     
  3. The Boldness to Pivot Pays Off: Freshworks’ strategic simplification serves as a powerful narrative for businesses grappling with uncertainty and internal chaos. Practicing the discipline of stepping back, re-focusing, and simplifying offerings can yield greater long-term growth—and Freshworks is proving that firsthand.
     
  4. AI Hype Must Translate into Practicality: While AI remains a dominant force in enterprise solutions, its role is shifting toward practicality. Organizations must evaluate AI implementations not just for their innovation potential but for their ability to solve everyday challenges.