88% of organizations use #AI, yet only 7% have fully scaled it.
The challenge isn't simply access to AI, it's Disconnected #ERP systems, fragmented data, manual approvals, and isolated #AITools can limit the value organizations expect from their investments.
The real opportunity lies in connecting AI with everyday business operations.
🔹 Integrating data across enterprise systems
🔹 Automating workflows, not just individual tasks
🔹 Embedding AI into operational decision-making
🔹 Measuring outcomes beyond technology adoption
In July 2026, during internal #cybersecurity evaluations, #OpenAI models circumvented controls designed to isolate them from the internet.
The agents eventually exploited #vulnerabilities, gained unintended external access, and compromised parts of #HuggingFace's infrastructure.
This wasn't a conventional attacker simply using #AI as a tool. The agents themselves were taking the actions.
For enterprises moving toward agentic AI, the lesson is bigger than model #security
#MFA remains one of the most important #security controls organizations can deploy; but modern identity attacks increasingly target what happens around & after authentication
That's why identity security also needs visibility into sessions, behavior, privileges, & unusual access
“We use MFA, so we're protected”
2026 campaign shows why the conversation can't end there.
#Google Threat Intelligence Group tracked #BlackFile, an extortion operation using sophisticated voice phishing to target employees and compromise enterprise identity environments
The attackers then used adversary-in-the-middle techniques against SSO environments, targeting #Microsoft365 and Okta infrastructure and ultimately exfiltrating corporate data for extortion
#AI didn’t need a zero-day vulnerability to scale a cyberattack
In early 2026, an attacker used generative AI to compromise 600+ #FortiGate devices across 55+ countries
The entry point? Weak credentials, exposed interfaces & missing MFA
#Cybersecurity#AISecurity
A waste truck can finish every route and still waste time, fuel, and resources
The problem? Limited visibility into actual collection needs
#AI + #IoT + #DataAnalytics can support smarter routing, better resource allocation, and more efficient operations
#SmartWasteManagement
#SportsTech is moving beyond wearables & performance tracking
#IoT + Edge/#Cloud + #ML + #GenAI are creating a broader technology stack across performance, scouting, coaching, broadcasting & fan experiences.
We break it down into 5 layers:
Sense→ Process→ Learn→ Generate→ Act
#HealthcareAI doesn’t start with the model
It starts with the data
Poor #annotation → poor intelligence
Missing clinical context→ unreliable outputs
AI Trust Layer, brings domain expertise, structured data, validation, and governance into the AI lifecycle
#HealthTech#AI
#Japan is building for an #AI-ready future 🇯🇵
#Compute → capacity
#Cloud → scale
#5G + Edge → speed
#IoT → connectivity
#AI → intelligence
#Software → real-world value
The opportunity isn't one technology; It's what happens when they connect
#JapanTech#Technologie
That's why successful #AI initiatives don't begin with #technology. They begin with business strategy, data readiness, and a clear roadmap for adoption. Our focus isn't simply delivering #AI; it's delivering AI that businesses can successfully adopt and scale.
The biggest challenge isn't selecting the right #AI model. It's understanding where #AI will create measurable business value, whether the underlying data can support it, and how it will fit into day-to-day operations after deployment.