Overview – Think 2025 Boston Day 2 Keynote
Welcome back from Think 2025, where IBM’s Chairman and CEO, Arvind Krishna, shared transformative insights on the future of technology and its impact on businesses. The keynote session was a deep dive into how AI and hybrid cloud are revolutionizing enterprises, driving productivity, and unlocking unprecedented business value.
The Shift from Experimentation to Business Value
Arvind Krishna began by highlighting a significant shift in the AI landscape. AI has moved from experimentation to a real focus on unlocking business value. Enterprises are now leveraging AI to scale their operations, improve ROI, and drive productivity. This shift marks the end of the hype cycle and the beginning of widespread adoption and integration of AI into business processes.
Common Challenges and Technological Solutions
Across industries and geographies, businesses face common challenges: the need for increased productivity, speed, cost management, complexity, and security. Arvind emphasized that hybrid cloud and AI are fundamental technologies that address these challenges. Technology has become a source of competitive advantage, enabling enterprises to add intelligence to their operations, automate workflows, speed up decision-making, and scale without expanding their physical footprint.
AI Tailored for Enterprises
Arvind stressed that not all AI is built the same. 99% of enterprise data remains untouched by AI, presenting a huge opportunity for businesses. To unlock this value, enterprises need AI models tailored to their specific use cases. Smaller, domain-specific models are more accurate, cost-effective, and faster than large general-purpose models. IBM’s investment in the Grad family of models exemplifies this approach, providing tailored solutions that deliver significant advantages in cost and performance.
Integration and Business Outcomes
The era of AI experimentation is over; success is now defined by integration and business outcomes. IBM’s watsonx Orchestra family of products allows enterprises to build their own agents in less than five minutes, unlocking enterprise data and orchestrating complex workflows seamlessly. With 150 pre-built agents for various domains, businesses can leverage these tools to redefine how applications are built and improve productivity.
Hybrid Integration and Open Source Models
Integration across workflows and data sources is a critical challenge. IBM’s web methods hybrid integration platform simplifies this process, reducing complexity and accelerating time to value. Arvind emphasized the importance of open source models, which provide flexibility, cost control, and performance optimization. IBM collaborates with partners like Meta and Mural to incorporate open source models into their solutions, enhancing the capabilities of watsonx.
AI and Hybrid Cloud: A Symbiotic Relationship
AI and hybrid cloud are not separate entities; hybrid cloud enables AI to unlock value across different environments. IBM’s acquisition of Hashicorp and investments in Red Hat OpenShift exemplify this approach, providing secure, automated solutions that straddle clouds, on-premise, and edge environments. IBM’s latest innovations in the watsonx data platform further enhance data integration and intelligence, making it easier to ingest, track, and analyze data.
Enterprise AI Focus
IBM is laser-focused on enterprise AI, prioritizing purpose-built models, cost-effectiveness, security, and sovereignty. Arvind shared impressive statistics, including over 350 engagements in the last quarter and a $6 billion book of business. IBM applies AI internally, saving $3.5 billion across the enterprise by automating processes and improving efficiency.
Real-World Use Cases
Arvind highlighted several real-world examples of AI in action. Sevilla Football Club uses watsonx to evaluate new recruits, the Better Business Bureau employs AI for business accreditation, and EY integrates watsonx into their tax and compliance solutions. These examples demonstrate the tangible benefits of AI in various industries.
Collaboration with Ferrari
A standout moment in the keynote was the discussion with Ferrari’s team principal, Fred Vasseur. They shared insights into how AI and hybrid cloud are enhancing fan engagement and driving innovation in Formula 1. The collaboration resulted in a new app that provides personalized race summaries, data visualizations, and historical insights, powered by watsonx
.Lumen’s Role in AI and Networking
Kate Johnson, CEO of Lumen, joined the stage to discuss the critical role of networking in AI. Lumen’s transformation into an XG platform company and its partnership with IBM bring AI capabilities to the edge, enabling real-time inferencing and fueling innovation. This collaboration is set to redefine how enterprises leverage AI and networking to scale their deployments.
Infrastructure for the AI Era
IBM’s latest innovations in infrastructure, including the C17 mainframe and the Linux 1 Emperor 5, are engineered for the AI era. These systems offer advanced inferencing capabilities, secure AI acceleration, and confidential computing, providing enterprises with the tools they need to unlock the full potential of AI.
Quantum Computing: The Next Frontier
Arvind concluded the keynote with a glimpse into the future of quantum computing. IBM’s investments in R&D and manufacturing are paving the way for quantum systems that predict the future, optimize financial risk, and simulate new materials. With over 250 industry and academic partners, IBM is leading the charge in making quantum computing a reality.
Conclusion
Arvind Krishna’s keynote at Think 2025 was a powerful reminder that technology is not just about incremental improvements; it’s about fundamentally transforming businesses. AI, hybrid cloud, and quantum computing are the pillars of this transformation, driving productivity, unlocking value, and securing enterprises for the future. IBM’s bold investments and innovative solutions are set to lead these transformations, helping businesses work smarter, grow faster, and reimagine their processes.
