Mike H.’s Post

Exciting news! Our Network Diagnostics Engine, AGILITY, is making a significant impact and empowering teams. AGILITY leverages AI/ML, modern design & visualization, automatically detects network topology, and supports extensive 4G/5G services.    Don’t just take our word for it – see what our customers are saying about us.  #CustomerFeedback #AGILITY #AI #5G #Diagnostics 👉 Discover AI-powered telecom transformation: https://lnkd.in/d9bB6hzf

Self-organizing networks empowered by artificial intelligence revolutionize network management. AI algorithms autonomously optimize configurations, coverage, and resource allocation based on real-time data. This dynamic adaptation enhances network performance, resilience, and scalability while reducing operational costs and human intervention. Self-organizing networks leverage AI to continuously learn and adapt, ensuring efficient and reliable connectivity in dynamic environments, ultimately shaping the future of telecommunications. 🤖🌐 #SelfOrganizingNetworks #AIinTelecommunications #NetworkAutomation #SmartConnectivity

Between faster processing, seamless connectivity, and hardware-based AI threat detection, #IntelvPro powered by #IntelCoreUltra has everything your fleet needs for this PC refresh cycle. CIO Online https://bit.ly/3tLuHAS

The new Meta Llama 3.1, better than GPT-4o and Claude 3.5 Sonnet on several benchmarks, will take AI assistants in the enterprise to a whole new level. Excited to see a future where enterprise data and applications can safely leverage all the new capabilities of open source LLMs

I am also a believer that open-source AI is the way to go and it is just a question of time before the open source models will outperform the closed-source ones. Both industry and research need open-source AI because organizations have different needs which requires training and fine-tuning models with specific data, while keeping the control on data governance

The exponential growth of AI applications is increasing power demands in data centers and fueling the need for more chips in both large and small AI models. “AI could gobble up a quarter of all electricity in the U.S. by 2030 if it doesn’t break its energy addiction”. To unlock AIs full potential, we must focus on optimizing two critical currencies: compute and energy. At the recent #FortuneAI event, I shared details of Arm history in power optimization and chip design that is driving the AI revolution. Thank you for having me Fortune. Read more here: https://lnkd.in/gT6r8VRs Or watch my full session: https://lnkd.in/ggvva99b

#DigitalTwin and AI play a crucial role in verifying complex ML model algorithms for various aspects of 5G/6G networks. Data-driven AI/ML algorithms on Digital Twin enable What-If experiments as a test platform, aiding in O-RAN physical layer, Transport routing, network slicing on demand, end-to-end network capacity planning, and HetNet dense deployments in 5G/6G millimeter wave deployments Moreover, Digital Twin serves as a powerful hybrid Phy-Gital test environment for heterogeneous deployments, including Reconfigurable Intelligent Surfaces. It proves highly resourceful in network operations for Root Cause Analyses (RCAs) and in modeling failures, providing ready remediation recipes. #AI #ML #DigitalTransformation #NetworkOperations #5G #6G #DigitalInnovation #ArtificialIntelligence

Elevate your network management with the Marvis Virtual Network Assistant from CBTS! Harness the power of Juniper Mist AI to streamline operations, enhance performance, and ensure seamless connectivity. #NetworkManagement #AI #TechInnovation #CBTS http://spr.ly/6047cF0uD

As applications for AI expand to more industries, we expect more stocks within the tech sector to benefit, with software and internet stocks particularly well positioned to monetize their investment in AI