Companies won’t adopt “one AI” in the future.
They’ll run fleets of agents: planner + executor + reviewer + compliance.
This turns software into a distributed workforce, and collapses the cost of creating capacity - this is “agent velocity”.
For more:
https://t.co/ZEQvQTbmAl
Enterprise AI is moving from copilots → agents (systems that act).
The real shift is agent velocity. How fast you can spin up specialised agents, deploy them, and retire them safely.
The multi-agent enterprise is coming. Governance is the unlock.
More: [https://t.co/ZEQvQTbmAl]
LLMs are interfaces; agents are systems. If AI can call tools, you’re building operational software (add constraints, approvals & audit trails). Read more [https://t.co/RRip2Llglc]
“RAG is dead” is the wrong question. Per Hedden (@SteveHedden): build the information spine (data + rules + receipts). Per Schrittwieser (@Mononofu): task length doubles ≈ every 7 months - design for churn.
Our analysis [https://t.co/QFfr2bHsIk]
#AI#DigitalTransformation
Transformation outcomes now depend less on owning “the biggest model” and more on building reliable systems around AI. Route to cheaper more capable models. Read full article: [https://t.co/5jv5yuMQDc] #AI#DigitalTransformation
AI isn’t the problem.
The data pipeline is.
No clean source = no authority.
No justification = no trust.
Fix it with Knowledge Ops.
[https://t.co/21CEeRj605]
AI isn’t the problem.
The data pipeline is.
No clean source = no authority.
No justification = no trust.
Fix it with Knowledge Ops.
[https://t.co/21CEeRj605]
LLMs don’t fix broken orgs. You must align people, process + AI. Track revenue and margin, not model scores. Read: [https://t.co/ROTep9jSuE] #AIReadiness#DigitalTransformation
The Hard Truth
Most companies have a data lake.
Few can extract value from it.
In our latest @gapxai piece, we show why AI-readiness is more about governance and workflow than models.
Read: https://t.co/kruTNI9E8U
#GenAI#AIReadiness#PrivateEquity#DataStrategy#DigitalOps
GenAI doesn’t fix broken data. It exposes it.
Before you prompt, fix the pipes.
RAG effectiveness starts with data quality, pipelines, and governance.
New from GAPx [https://t.co/8i71M2IuD8]
#GenAI#DataArchitecture#EnterpriseAI#RAG
GenAI doesn’t fix bad data - it amplifies it. Want better AI? Start with cleaner pipelines. Read more: [https://t.co/DDUGY04AMN] #GenAI#DataQuality#GAPx
@Klarna used AI to cut risk. What happened? Faster checkout, better CX, higher loyalty. Smart decisions echo. Read more [https://t.co/Zztcxoe7EV]
#AIFirst#FinOps#GAPx
AI + CX data ≠ just personalisation. It’s a live feed into how Ops, Finance & HR actually affect experience.
Read More:[ https://t.co/ZztcxodzPn]
#CustomerJourney#AI#GAPx
@Spotify CX feels magical. But behind the AI is a lot of Ops, Product, Rights Mgmt etc. AI reveals intersections. Read More:[ https://t.co/ZztcxodzPn] #AI#CX#GAPx
From compute bottlenecks to governance gaps - we decode @ericschmidt recent AI TED Talk. A wake-up call for PE firms and Portcos. Read here: [https://t.co/K6KaAjOMm1] #AI#GAPx
In a recent TED talk @ericschmidt says AI is here — and the 30% productivity growth it will deliver will break business as we know it.
Read the GAPx review: [https://t.co/K6KaAjOMm1]
#AI#PE