NTT Data
Executive perspectives from NTT Data across NextGenInfra's event and research showcases.
5 video interviews · 2024–2025
AI's Rapid Rise in Networking
- AI adoption expanded rapidly across cloud and edge environments over the past year.
- Cloud AI has reached widespread implementation while industrial AI is still developing.
Full summary
Parm Sandhu, VP Enterprise 5G Products & Services at NTT Data, highlights the rapid expansion of AI adoption across cloud and edge environments over the past year, with cloud AI reaching widespread implementation while industrial AI continues to develop.
Private 5G & Edge Computing
- Private 5G, edge computing, and industry integration are the key 2025 themes.
- SI-managed private 5G deployments grow across manufacturing and defense sectors.
- Edge AI and cloud technologies enhance operational efficiency and security frameworks.
Full summary
Parm Sandhu, VP Enterprise 5G Products & Services at NTT Data, outlines three key predictions for 2025 focusing on private 5G networks, edge computing, and industry integration. His analysis highlights the expected growth in SI-managed private 5G deployments across manufacturing and defense sectors, while emphasizing how edge AI and cloud technologies will enhance operational efficiency and security frameworks.
3 Game-Changing Tech Trends for 2025: AI, Cybersecurity & Sustainability | Business Leaders
- Generative AI becomes a business standard, backed by $2 trillion in global investment.
- Cybersecurity evolves into an AI-driven challenge.
- NTT Data cites a $3.3 billion Toyota AI collaboration and a pledge for carbon-neutral data centers by 2030.
Full summary
Tammy Soares, President of Launch by NTT Data, highlights three major tech trends for 2025: generative AI becoming a business standard with $2 trillion in global investment, cybersecurity evolving into an AI-driven challenge, and the intersection of innovation with sustainability goals. Through strategic partnerships and investments, NTT Data is advancing these priorities with initiatives like their $3.3 billion Toyota collaboration for AI platforms and their commitment to achieve carbon neutrality in data centers by 2030.
AI Opportunity at the Edge
- NTT Data's Devin Yaung says AI effectiveness depends on data collected at the edge, closest to the physical world.
- He warns against cloud over-reliance and stresses IoT sensors, the right network, and edge compute for AI.
Full summary
Devin Yaung, SVP of Global Enterprise IoT at NTT Data, highlights the critical role of Edge computing in AI models, emphasizing that AI effectiveness depends on the data collected at the Edge - the layer closest to the physical environment. He warns of companies exhausting processing power on the Edge due to cloud over-reliance, underlining the necessity for IoT sensors for data automation, and concludes that the right network, devices, and Edge compute are vital for AI development.
Industrial Use Cases Drive AI
- NTT Data's Parm Sandhu sees AI driving data intelligence across manufacturing, pharma, transportation, and logistics.
- An upcoming NTT-Schneider partnership pairs Schneider's EcoStruxure with NTT's edge-as-a-service for AI at the edge.
Full summary
At MWC 2024 Barcelona, Parm Sandhu, VP of Enterprise 5G Products & Services at NTT Data, emphasized the growing importance of AI in the enterprise sector, with NTT leading the way in using AI for data intelligence and transformation across industries like manufacturing, pharma, transportation, and logistics. Sandhu also hinted at an upcoming partnership between NTT and Schneider, leveraging Schneider's ecostructure capabilities and NTT's Edge as a service infrastructure for AI transformation at the edge.