Top Tweets for #DataStrategy
Fable 5.2 hit 76.3% on Irregular's CyScenarioBench vs 61% for GPT-6 Cyber, and scored 89.6% rediscovering CVEs from source at 1,829 advisories. Benchmarks tell you what the model can do in a lab, not what your patching and threat model look like.
#CyberSecurity #DataStrategy
Google Cloud spend caps are GA, but they pause only new usage for Gemini API, Agent Platform, Cloud Run, and Cloud Run functions. Resources stay, monthly resets are automatic, and enforcement delays can still bill overages.
#Cloud #DataStrategy
Technology myths cost businesses more than technology itself.
Swipe to separate AI, cloud, data & automation myths from reality.
#NextGenInvent #AI #Cloud #Automation #DataStrategy
Big tech mistakes happen before coding.
Get architecture, data & ownership right. DM us for a pre-build review.
🌐 https://t.co/JE1XSroXqK
✉️ [email protected]
#TechStrategy #SoftwareArchitecture #DataStrategy #ITGovernance #DigitalTransformation
Your data is spread across many different tools, so getting real insights gets harder.
Databricks brings it together in one place.
Book a free consultation: https://t.co/TDtoRf4J0D
#Databricks #DataStrategy #Cyntexa
UK enterprises run 796 applications on average. Only 33% are integrated.
That's why your agent gives a different answer depending on which system it happened to reach. Conversational interfaces didn't clear the integration backlog.
https://t.co/UpKTe0yIXF
#DataStrategy
Attackers don't need malware for the cold chain. CISA and four other agencies describe internet-reachable refrigeration controllers pushed into continuous heating and defrost. The remediation list is old and boring: default passwords, patching, less
#CyberSecurity #DataStrategy
Modern data leaders need more than technical expertise. @shreyshivam reviews practical frameworks for building high-impact teams, aligning strategy with business goals, and leading through AI-driven change. #Leadership #DataStrategy #AILeadership #CDAO
🔗 https://t.co/NC5Rv2gG7x
Australian firms are wasting money on AI by launching pilots before assessing data quality, feasibility and production costs. Skipping these checks can lead to failure before scale. #AI #DigitalTransformation #DataStrategy https://t.co/EgCZaSULJG
Building ESG data infrastructure isn't just compliance — it's commercial intelligence. You uncover energy use by shift, waste by process, supply chain emissions & hidden bottlenecks you never saw before.
#WDanielCoxIII #ESG #DataStrategy
A shift worth making in 2027 planning:
Stop treating data as exhaust. Treat it as an asset: inventoried, valued, protected, pruned.
Companies that make that shift move faster on deals, audits, AI - everything built on top.
#DataStrategy #OilAndGas
A revisit worth sharing. ROHL came to us with AI ambitions and a question every leader should ask first: are we actually ready? Our AI Readiness Assessment gave them the honest answer. See the project here. #AI #AIReadiness #DataStrategy #DigitalTransformation
Wishful architecture is what you get when a design assumes an organization that doesn't exist. Formicola's point: maturity, reward structures and team dynamics aren't context around the technical work, they're part of the system you're designing.
#AI #DataStrategy
Your campaign agent writes to the CDP, CRM, and ad platform. The consent flag doesn't travel with it. 🚩
I've seen 40K+ records hit an ad platform with zero opt-in history. The agent did its job fine. Nobody built the rail.
#AgenticAI #DataStrategy #MarTech
Your AI tool is only as good as the floor it stands on.
Build it on cracked blocks and it will still sound confident. It just won't be right.
Book a data review - link in bio.
#AIReadiness #DataQuality #PowerBI #SmallBusiness #DataStrategy
Only 18% of organisations have a true single customer view. (Tealium, 650+ marketing and IT professionals surveyed)
Connect an agent to that and it reads five versions of the same person, then picks one. Which one, and could anyone tell afterwards?
#DataStrategy #AIReadiness
In Auckland, the data and AI leaders I met were keen on Gen AI and autonomous solutions. Not everyone was ready for the leap.
The hard part: getting from a plan that looks great on paper to execution that holds up.
https://t.co/whWh8SMznb
#AI #DataStrategy
Building one enterprise-wide ontology graph on day one is a trap. Start w/ a specific business scenario. Validate w/ experts. Expand only after real-world use. Architecture walkthrough: #AI #DataStrategy #OceanBase https://t.co/tMSZvxeRDX
The Forever Security test is a reminder that AI agent approval prompts are only as trustworthy as the surface rendering them. A browser extension script clicked 'Allow' every second inside the page it controlled, so the human-in-the-loop was the
#CyberSecurity #DataStrategy
Avoid building one enterprise-wide ontology upfront. Start with a specific business scenario. Use existing data assets for a draft, then refine via expert validation. Iterative beats exhaustive. #DataStrategy #EnterpriseAI #OceanBase
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