Datadog CISO Emilio Escobar joins SNG host Wyatt Kash in a sponsored podcast discussion on how federal agencies must leverage comprehensive observability and monitoring to overcome escalating cyber threats. This segment was sponsored by Datadog.

Achieving zero trust with full-scale observability | Datadog's Emilio Escobar

In a conversation with SNG's Wyatt Kash, Salesforce EVP Paul Tatum says the time is right for agencies to explore AI agents to enhance service delivery and internal workflows. Sponsored by Salesforce. 

Salesforce EVP Paul Tatum on the benefits of AI agents for government

In a conversation with SNG's Wyatt Kash, Salesforce Industry Advisor for Public Sector Transformation Mia Jordan discusses the need for constituent engagement platforms that are secure, unified, and built for how government operates. Sponsored by Salesforce.

Salesforce's Mia Jordan on the benefits of unified platforms and AI

Todd Schroeder of Databricks explains how AI and recent tech innovations enable federal agencies to bring AI to widely distributed data, instead of moving data to applications, reducing costs, improving security and accelerating decision making.


Databricks' Todd Schroeder on a revolutionary approach using AI to manage government data

Bob Friday, Chief AI Officer for HPE Networking, discusses how federal agencies are rethinking network modernization in the face of rising complexity, new security demands, and the accelerating influence of AI. Friday shares what he’s hearing from federal IT leaders about their most urgent challenges—cloud migration hurdles, stringent security requirements like FedRAMP and FIPS, and the staffing constraints shaping today’s modernization efforts. He also breaks down the technology trends driving HPE’s approach, including the shift to real-time AI-ops, the organizational changes required to fully leverage agentic AI, and how HPE’s acquisition of Juniper Networks strengthens the push toward a “self-driving network.”

HPE's Bob Friday on how AI and cloud are transforming federal network modernization

Cloud computing has given federal agencies newfound ability to run large-scale modeling and high-performance computing workloads that not that long ago required coveted time slots on supercomputers. But moving the massive data sets from agency data centers to the cloud still involves a lot of work. Data extraction charges can also be costly and until recently, latency was a significant issue.

That’s changing thanks to new capabilities available from a software solution that many federal agencies are already using on premises to help them manage those workloads.

Teams are already moving data between data centers, between office locations, between disaster recovery locations, and they've been using tools like NetApp’s SnapMirror, which replicates business-critical data at high speeds over local or wide area networks, ThunderCat Technology's CTO Nic Perez in this podcast. Sponsored by AWS, ThunderCat Technology and NetApp.

Guest: Nic Perez, Chief Technology Officer, ThunderCat Technology

Host: Host: Wyatt Kash, SVP, Content Strategy, Scoop News Group

Look for more coverage of “IT Modernization in Government” on www.fedscoop.com/listen

Migrating High Performance Computing Workloads to the Cloud

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Migrating High Performance Computing Workloads to the Cloud

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