Your ChatGPT account may hold code, research, customer info, and business context. That makes it a high-value target. Hear how OpenAI’s advanced account security uses hardware-backed login to reduce takeover risk @yubico@openai https://t.co/SWzoN0W9xT
AI doesn't make organizations more agile by default. It just makes them faster, in whichever direction they're already heading.
@PMInstitute's new research digs into why that distinction matters more than ever.
Here's the breakdown…
Most regulated enterprises are asking the wrong AI question.
It's not "which model do we use?"
It's "can we run AI within our jurisdiction, under our control?"
At HPE Discover, I explored how @HPE + @NVIDIA are helping organizations build sovereign AI environments designed for security, compliance, and control.
#HPEPartner #AgenticAI
Enterprise 5G that actually works isn’t about speed tests. It’s hospital backup networks when systems go dirty, grocery stores staying online during fiber cuts, and CIOs finding savings to fund resilience. https://t.co/QWT8rtKGy4
The fix isn’t more software.
It’s better infrastructure.
We’re seeing a shift toward:
→ Integrated connectivity strategies
→ Multiple connectivity technologies working together to support connected operations
With @TMobileBusiness SuperBroadband:
→ One contract
→ One bill
→ End-to-end support
As businesses continue scaling AI-enabled operations, resilient connectivity infrastructure is becoming increasingly important.
Learn More: https://t.co/EfeaMwa5Sz
T-Mobile for Business Partner
The real issue isn’t downtime.
It’s workflow coordination.
Most systems don’t fail instantly - operational visibility and workflow coordination can become more difficult to manage:
→ Signals arrive late
→ Systems act on outdated data
→ Teams have less visibility into operations
Here’s the reality:
AI-enabled operations increasingly rely on resilient network infrastructure.
That’s why businesses are moving toward solutions like SuperBroadband:
→ T-Mobile’s 5G network
→ Starlink connectivity
→ Integrated connectivity designed to support resilient operations
Modern logistics relies on connected systems and coordinated workflows:
Orders → picked → packed → shipped
Now layer in AI:
→ Robots executing tasks
→ Systems coordinating decisions
→ Connected systems sharing operational data
When connectivity becomes inconsistent, operational visibility and workflow coordination can become more difficult to manage.
That’s why businesses are reevaluating how they approach connectivity resilience.
SuperBroadband from @TMobileBusiness integrates T-Mobile’s 5G network and Starlink connectivity to help support resilient operations across demanding environments.
Small network delays can create operational challenges across connected logistics systems.
A few seconds of network delay can impact workflow coordination across connected systems. As operations scale, those challenges can become more difficult to manage.
The real issue isn’t just downtime.
It’s what happens before that.
That’s why I’ve been exploring how SuperBroadband from @TMobileBusiness is approaching this differently…
→ T-Mobile’s 5G network
→ Starlink connectivity
→ Integrated connectivity designed to support resilient operations
Because connected systems increasingly rely on resilient network infrastructure.
T-Mobile for Business Partner
A framework for understanding the 12 technologies that will define the industrial era, their cascading impacts across critical infrastructure, and the urgent imperative for proactive resilience.
by @ChuckDBrooks
https://t.co/T0VFCbE4An
#tech#ai#quantum#space#cyber#future
I wrote more about this in my latest article: “Milliseconds Are the New AI Battleground.”
It explores how latency can affect operational efficiency, why edge AI matters in low-latency environments, and how organizations are rethinking AI infrastructure closer to where operations happen.
Read it here: https://t.co/Vv1Wr3N5RT
@TMobileBusiness Partner
Many organizations are now evaluating how quickly AI insights can influence operations.
Because in environments like manufacturing, logistics, and industrial automation, even small delays can affect efficiency, precision, and responsiveness.
Edge environments can help reduce the gap between insight and operational action.
The goal is not to replace the cloud.
It’s to support decision-making closer to where data is generated.
That’s where edge AI environments can help reduce latency and support more responsive operations.
This is exactly what Edge Control from @TMobileBusiness is designed to support.
Edge Control routes data closer to operations and supports low-latency environments for time-sensitive workloads.
Teams can also manage deployments through T-Platform, T-Mobile’s unified dashboard for advanced network solutions.