AI Is Now Entering Second Phase, Cisco's Patel Says

Core Insights - The article discusses the significant shift in AI technology, moving from basic chatbots to more advanced agents capable of conducting tasks autonomously, which is seen as a transformative phase in AI development [2][3] Infrastructure and Constraints - Three major constraints limiting AI growth are identified: insufficient infrastructure (compute, networking, bandwidth), a trust deficit in AI systems, and a data gap, particularly in machine data [3][16] Role of Splunk - Splunk is positioned as a key player in addressing these constraints, particularly in utilizing machine data to enhance AI model training and insights [4][11] - Recent announcements at a user conference highlighted innovations in machine data handling and an open-source model for time series data [7][17] Cisco and Splunk Integration - The integration of Cisco's technology with Splunk is expected to provide significant value, particularly in correlating data from various sources, enhancing security, and offering economic benefits to customers [10][12][11] - Cisco's telemetry data is being utilized in Splunk, which allows for better insights and operational efficiencies [11][12] Future Outlook - The company aims to support massive data center buildouts and ensure the security of AI systems, addressing the growing importance of machine data in AI applications [14][15][16] - The combination of Cisco and Splunk technologies is seen as a unique offering in the market, with a strong emphasis on innovation and customer-centric solutions [17]