CLUSAnalytics

I think it can abstract them, and make them able to focus on more unique issues rather than inventing the wheel for each company and use case.

#clus @JimMcHugh I say no but it will shift roles to be more abstract it will power the analyst market and apps

Technology and other functions may replace the general need for data scientists.

Scientists suggests experimentation. Culturally, we're not at that stage of business yet WRT data.

@tcrawford I think we have to experiment, iterate on our analytics processes. We don't have a direct path yet, so there is a lot of analysis around analytics (so meta, I know)

Well there was a recent HBR article about the shortage of Data Scientists so supplementing vs replacing would help

We can certainly reduce the dependency on them which is a big barrier to adoption i.e. there are not enough of them and they are very expensive

well, scientists use a formal method to draw conclusions. Without data scientists, will the value gleaned be more shallow? Less rigorous?

What Jim was referring to is this article :) https://hbr.org/2015...

Y&N machines have always replaced humans - the question is what will humans be able to do that machines can't

Technology cannot replace data scientists but them better and faster

at @platfora we believe there is a human element to big data. Traditional tools don't allow data scientists to impact the business. We see a huge opportunity to scale the work of data scientists.

#clus @therealcojo here is a great interview with founder Ben Werther in 2013 great vision https://www.youtube....

@dvellante Answer; humans will be able to "bluff based on intuition" where machines can't. That's my guess.

#clus @therealcojo Ben Werther vision from day one was to make analytics easy for common knowledge worker

Our customers tell us their secret sauce is in their Data and their Data Science (how they use their data) rather than in the technology they use.

@furrier Absolutely. We see a future where one platform allows non-technical business users to answer the questions that matter and data scientists can focus on the work they were hired to do rather than mundane data prep. #endtoend

#clus @halr9000 this is easy for me: Real time anything; Real time causes all the old ways to be refreshed bc the advantages are so huge

everything is impacted by real time bc the new value in a fully connected world is information and real time; it's coming fast and if companies ignore this they are f'd beyond all recognition

I think the most exciting part is the empowerment that comes with data democracy. i.e. when a no-name analyst uncovers something in the data that truly makes a difference to the bottom line.

#clus @halr9000 Agree @therealcojo gr8 pt. standing up and tearing down resources by apps #InfrastructureAsCode #IAC

Discovery

I'm personally excited about better customer service across all industries. Some companies are already really good at real-time personalization of services and offers. http://hortonworks.c...

The comfy couches when you go in for your analysis.

the computer gaming industry does it for me. Anything that helps me explain what I do to my children is a win

#clus @halr9000 Personally? I guess the most important thing is being able to enhance my beer recipes based on temperature, conditions and ingredients data. Analyzing the efficiencies of my brew and building off them. It all comes back to beer.

I think it is seeing customers change their business based on the insights they get from the data

Discovering interesting things you didn't know before about your business and its constituents

@ESBAle which came first, the name, or the occupation? :)

answering things we didn't know to ask, predictive learning, solving problems and making life in general better :)

@ESBAle I like your mission

@ESBAle you should come to our breweries tour tonight :) Pin me privately and I will send it to you. It's invite-only :)

Personally for me is to see more and more end to end integrated solutions coming together, along with our partners, making customers' lives easier. Being able to show that here at #clus is a great step forward

Name and hobby came at the same time. Took my wife's maiden name ("Brewer") and combined with my own ("Hay") then decided to become a brewer on our honeymoon.

#clus @ESBAle beer crafting can really leverage big data i see that as a huge TAM

@ReneeYao1 I wish. I stayed back at Splunk HQ in SF this week. No San Diego for me :(

@ESBAle next time then :)

@ESBAle I'll send you a picture or something :)

I would say "never". The reason is that not all data is special, and storage has a cost.

BigData gets the attention. But you're right...it's still just data.

Huge is the new Big?

#clus @therealcojo the word big in #bigdata will be dropped when the bubble pops :-)

I think it continues to be big data. Data analytics streaming at the edge may never join the big umbrella

@furrier How do I do a "multi-vote" on that last comment? :)

#clus there are lot of requests from line of business managers for different analytics solutions— the querstion is how can the infra deliver the insights they need faster?

I once heard "Big data is here to stay, but the expression itself will go away."

yeah, the meaning of "big" will change every month.

@CecilePoyet The expression "horseless carriages" went away, so yeah, I guess I agree

@CecilePoyet Doug Cutting (I think) said that Hadoop would disappear and become plumbing. I suppose big data will follow in some sense. It will stop being the new shiny, and just be somewhat-shiny.

We can drop it once its manageable (when the 3Vs are not the challenges)

When #brobdingnagianDATA is the "thing?" ;-)