BigData

at their most sophisticated they can act automatically, without recommending user action. ex: systems management, smart grid, ad exchange...

#SystemsOfIntel add predictive capabilities to the business when few #SoR could

The best ROI come from deployment in automating business processes; system to system, not system to people

running datacenters, apps, #iot lots of things are connected and taking action on data is the big thing

Make it easy for business users - not just IT professionals - to make better decisions with more complete and timely data - as well as recommendations about what those decisions should be

@dfloyer Great point -- automating between systems means the data will actually be used in a timely fashion - and not left up to humans to incorporate

@jscheplick this is like the holy grail of data...will the "citizen data scientist" become a reality?

It should be a continuous process of improvement, selecting the best signals from multiple streams, and making them real or near real-time inputs to automation

A3: fast real-time autonomous decisions come from #SystemsOfIntelligence if you push #MachineLearning out to the sensor (data collector)

I think it will in some organizations - again, the ones that have the most to gain (and lose) if they don't use real-time data to their advantage

@jscheplick yes - it's not just consumers - that was easy example. Workday makes it possible for HR professionals to anticipate which high performance emps might leave and how to intervene

However, that won't be the case in most organizations - at least not in the near future. Again -- there is a culture shift -- not just technology -- at play here

@dvellante There already exist "Citizen Data Scientists" -- just check out Zooniverse.org, OpenDataThons, and hackathons

Pick the biggest problem that can be solved with automation - e.g. Fraud detection if you are a health insurance provider, customer churn for mobile telecommunication companies

A3: I also think mobile devices will become the default ubiquitous input source and output response for #SystemsOfIntelligence

Limit the number of data scientists deployed or drown. Use domain experts; use system of intelligence to extract signal and streams, and continuously monitor and improve.

@dfloyer Great SoI use cases in #Healthcare - IBM Watson can diagnose and treat conditions better than doctors. Healthcare professional roles will be more consultative, relationship based in the future as #AI plays traditional doctor role

@ggilbert41 > How much can be automated? How much should be automated?

so, first a definition...

How are systems of intelligence different from Systems of Record? @bobpicciano uses systems of record & systems of engagement all the time

#SystemsofEngagement are modern mobile UI with cloud delivery. #SystemsofIntelligence have predictive analytics to anticipate and influence consumer interactions for better outcomes on both sides

#SystemsofIntelligence reflect a concept that I've taught for years "Intelligent Archives of the Future"

Article in the WSJ about Apple & Google's race to predict what you want...#Data_Arms_War

@ggilbert41 ...apply #MachineLearning to customer behaviors (breadcrumbs) to learn interests, intents, and preferences #CEM

@ggilbert41 would you consider #IoT platforms to be #SystemsOfIntelligence as well?

. @vGazza I personally say 100% YES

. @vGazza #iot has to be intelligent at many levels so this will be a fun area to watch

@vGazza great question - they are future versions of SysofIntel - where instead of anticipating consumer interaction, the application automatically responds to machine data

@vGazza for example - a smart grid system might auto tune energy consumption of appliances in an individual home

#IoT platforms need to be #SystemsOfIntelligence in order to be useful, successful,.. But that isn't automagic

As with many emerging technologies, there are some organizations that are on the "bleeding edge" if you will. But it takes more than technology to enable it -- you need a shift in skills and in organizational mindset to make the transition

@ggilbert41 I see #IoT as the #SysOfIntel for unintelligent elements. Intelligence at system level.

@vGazza that's an interesting perspective...you're basically saying #IoT produces "raw material" for SoI?

We see online gaming organizations collecting user data real-time to dynamically enhance the experience, for example. Those organizations with a tangible benefit will be the earliest adopters

@jscheplick love the online gaming bc the use of big data is huge

@jscheplick You are right on the money -> culture beats strategy (or is that "eats strategy"? :)

@jscheplick great example!!

@dvellante raw material is already there with sensors and element monitoring, I think

@jscheplick #MachineLearning in Online Gaming is a forerunner to #Gamification of #Analytics in many different orgs

@dvellante correlation at scale, #MachineLearning and insights can help build #SysOfIntel out of this raw material

bullseye!

so we want to explore - do these systems become a separate stovepipe or are they integrated with so-called Systems of Intelligence

Kirk we have threading here so you can reply underneath thread

Good to see @garyorenstein has joined the conversation , Gary always gets out ahead of the curve

we have #VMworld coming up; #openstackSV #OOW and many more after summer break

Databases

We've been building these for 50 years - they automate business processes and report on historical performance.

So we're talking payroll? transaction systems? Warehouses?

@dvellante I think of them collectively as ERP

original was airline reservations, then ERP/CRM...

ERP, CRM, databases

How sophisticated are their analytics?

Transaction systems & systems of record are the heart of enterprise processes

pretty basic - it's just about historical performance reporting - equivalent to steering a ship by looking backwards at its wake

@jscheplick Those 3 (ERP, CRM, databases) are best SoR examples, and yet they trick some firms into thinking they already have NextGen Analytics (Systems of Intelligence)

@KirkDBorne love that comment - the classic head fake

With all due respect, in my opinion sophistication lies in the way they run, reports and UI have become user friendly #bigdata

. @KirkDBorne many are getting fooled by recycled technologies passed as tranformational

@KirkDBorne @jscheplick - good point - we're not talking about just semantics are we?

@Jase_mtlngs915 I agree on the user friendly but being modern is another story..horizontally scalable? real time? low latency? dealing with semantic intelligence..etc

Jasdeep - BI/reporting is more friendly, but it doesn't inform the consumer in real-time at the point of interaction - especially by anticipating their actions and then influencing them - kind of like ads work

Yes, there are many "new" features: semantics, machine learning, personalization, behavior analytics, real-time,...

isn't it usually SoR vs "system of engagement". Is "system of intelligence" different?

Transaction systems & systems of record are the heart of enterprise processes

@timoelliott it's a concept being put forth (first) by Geoff Moore and @ggilbert41 is re-defining Systems of Intell uses machine learning to anticipate, respond and affect outcomes

@timoelliott Yes, SoEngagement includes those #CEM #CX pieces, but SoIntelligence is predictive, prescriptive, cognitive

I love the systems of engagement bc that data is active and with context then it can be intelligence #SystemofIntelligence

with context and with advanced analytics - like machine learning that turns data into predictive model - like Amazon recommendations

@ggilbert41 Great point - recommendations, #NLP, other #machinelearning apps are becoming must-have feature for many enterprise offerings. We expect Amazon to make recommendations, customer service to email an auto-response, Facebook to tag our images

@KevinPetrieTech yes this idea of a personal assistant that anticipates my data needs #scary

@KevinPetrieTech couldn't have said it better - but coming up with #machinelearning recommendations is going to involve big data for greatest accuracy and fast/streaming data for currency

@dvellante Check out this personal assistant concept (from 2004) ScheduleNanny: http://arxiv.org/abs...