Innovation and Product-led Growth focuses on driving business expansion through continuous product innovation and user-centric development. This approach emphasizes creating products that solve real customer problems, deliver exceptional user experiences, and have the potential to grow organically through user adoption and word-of-mouth. By prioritizing product value and user satisfaction, companies can accelerate customer acquisition, increase retention, build a vibrant partner ecosystem, and achieve sustainable growth without relying heavily on traditional sales and marketing strategies.
OpenAI released o3-pro for ChatGPT Pro and Team users in what it calls its most capable model yet as it cut the prices for o3 by 80%. The moves come as OpenAI CEO Sam Altman ponders 2030 where there limitations of energy will lead to AI superintelligence that's almost free.
IBM updated its quantum computing roadmap heading into IBM Quantum Starling, a large-scale fault-tolerant quantum system in 2029.
Oxford Ionics ability to bring ion-trap-on-a-chip to IonQ and enable the combined company to "accelerate IonQ’s commercial quantum computer miniaturization and global delivery."
Procter & Gamble's two-year restructuring includes a heavy dose of digital transformation, artificial intelligence and supply chain automation and optimization.
Ciroos raised $21 million to deliver an agentic AI teammate for AI, DevOps and operations teams to automate and cut incident response times by 90%. What's interesting about Ciroos is that it is looking to address gaps in observability and its approach wouldn't have been possible without agentic AI.
Pegasystems launched Pega Agentic Process Fabric, a service that aims to orchestrate AI agents and make them more reliable with process knowledge.
Hitachi Digital Services CEO Roger Lvin said the move to AI agents will feature more transformation in a shorter amount of time than cloud computing due to "the reinvention of processes and applications from scratch." Lvin also talked about talent in the AI era, data, R&D, operations technology and IT convergence and the need for domain knowledge in AI use cases.
