Business intelligence tools allow users to organize and visualize data through diagrams and charts. However, one needs to know where the company stands in the data analysis maturity model to implement them.
Source @techmenttech Link https://t.co/MLIB735Gq4 rt @antgrasso#BI
.@LACountyRRCC If we drop our filled out ballot in person at a Vote Center on November 1, when will it be counted? Will it become part of the mail-in ballots?
Does the Los Angeles city council even take into account the costs of running a bank?
Do they really think this is going to save money?
It only builds a whole new level of fraud possibilities.
They approved $460,000 in taxpayer money for a study (that we don't have).
Right now, the bearish AI narrative is winning. It absolutely has to be said.
The underlying demand, supply constraints, capex investment, and build remains intact.
Sentiment is the market today. But the future of AI and the buildout is very much full steam ahead. 💪
Spot #Bitcoin ETFs took in $528.40 million on October 21, a third straight positive day. The number that matters is that eight of twelve funds bought and not one of them sold.
Data center developers and AI companies do not get to say what is best for communities.
Grandell “Bird” Hallett Logan (@brenamen26), spokesperson of the Tonawanda Seneca Nation, on sovereignty and self-determination at the People’s AI Assembly, co-hosted with @MorePerfectUS.
Where Are Marketers’ Media Budgets Headed Next Year?
💸 Budgets are flowing to AI assistants.
Traditional media, not so much
🔮 In an accompanying survey of consumers, Kantar found that one-third use AI assistants to research brands and products, while fewer (24%) trust recommendations from AI assistants. Just 17% would trust an AI assistant to shop on their behalf in the future.
83% of tech leaders are worried about the unintended consequences of #AIAgents.
#Observability can help teams see what’s happening across their environments, including what #AI agents are doing. Learn more in the @splunk State of Observability report ➡️ https://t.co/Dks89usgOt
AI creates business value when strategy, workflows, and execution work together. Leaders need to connect these layers, redesign how work gets done, and build the skills that turn AI capabilities into measurable outcomes.
Source @McKinsey Link https://t.co/Cf8fXdK49O v @antgrasso
Customer context can easily get lost in the handoff. PwC’s "common brain" approach could make it much easier to carry that context from one interaction to the next.
@TMobileBusiness Partner
I see what you’re doing @Expedia and @easyJet.
You make it very easy to buy a ticket, but virtually impossible and blame each other if I want to make a simple change or cancel.
We know this is nonsense. I simply won’t use you again (and Expedia, I’ve been a customer a long time.) It’s time this poor customer experience ends.
Ask yourself this question when you work with AI:
"What human effort went into this? Google notes that using generative AI to produce large amounts of text without manual oversight or curation represents little to no effort. It also warns against fake author profiles or credentials used to make AI-generated content look human."
RPA automates tasks through scripts that replicate user actions. When processes demand interpretation of data and adaptation to exceptions, IPA extends automation with AI and learning capabilities.
By @antgrasso.
Two patients have the same diagnosis. Would the same treatment be right for both? Clinical decision support helps clinicians examine the differences.
Patient information supplies the context. Medical knowledge helps interpret it before a decision is made.
Microblog @antgrasso
Consider a clinician preparing to prescribe a medication. The patient record contains kidney function results that may affect the appropriate dose.
A clinical decision support system can combine that information with medical references and flag a possible dosing concern for review.
Now the clinician has something to examine.
Are the patient data current? Does the recommendation make sense in this particular care situation?
The software can bring relevant evidence to the attention of the clinician while the decision is being considered. The clinician interprets that evidence and decides how to proceed.
The purpose is to make medical knowledge available in the context of the patient, without transferring clinical judgment to the software.
#ClinicalDecisionSupport #DigitalHealth
Healthcare digital transformation shouldn’t start with technology. It should start with people.
New tools can improve healthcare, but real transformation happens when technology makes care simpler, faster, and more connected.
Follow @LindaGrass0 for more insights 💡
The more you are enjoying an in-person talk by a public speaker, the more tempting it is to take out your phone and try to capture the moment, but here are a few reasons not to.
https://t.co/ZjjEWjzGVe