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Lillian Pierson
Works at Data-Mania
Attended University of Central Florida
Lived in Winter Park, Florida
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Lillian Pierson

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My analytics-as-a-service demo of Twitter hashtag analysis for ‪#‎bigdata‬ & ‪#‎datascience‬. If you work in the ‪big data‬ or ‪‎data science‬ niches, you may want to take a look at what I discovered about the industry's relevant trending hashtags.
http://bit.ly/255O3Nn
Data-Mania's analytics-as-a-service demonstration of Twitter hashtag data analysis for the big data and data science niche.
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Hans Willert's profile photoLillian Pierson's profile photo
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My pleasure +Hans Willert ... thanks for checking it out!
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Lillian Pierson

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Analytics-as-a-Service: Will Watson Analytics Replace the Data Science Role?

Ever since its launch in 2014, there has been some concern among the data science community on whether Watson Analytics (or other analytics-as-a-services products) could serve as a replacement for data science professionals. Let me settle that concern now by making this declarative statement: Watson Analytics is NOT capable of replacing an organization’s need for data scientists. And, rightly so, it was not designed to be a replacement.

At the initial Watson Analytics public unveiling, IBM leaders made the clear and direct statement that Watson Analytics is designed to be a

“, data scientist accelerator, not a data scientist replacement”.

After working with the software application myself for a few hours, I have quickly uncovered some serious reasons why you have no need for concern that Watson Analytics technology could replace the data scientist role.

This article is continued over at the Data-Mania blog. http://www.data-mania.com/blog/analytics-as-a-service-will-watson-analytics-replace-the-data-science-role/

#AnalyticsAsAService  #WatsonAnalytics
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Lillian Pierson

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Analytics-as-a-Service: Will Watson Analytics Replace the Data Science Role?

Ever since its launch in 2014, there has been some concern among the data science community on whether Watson Analytics (or other analytics-as-a-services products) could serve as a replacement for data science professionals. Let me settle that concern now by making this declarative statement: Watson Analytics is NOT capable of replacing an organization’s need for data scientists. And, rightly so, it was not designed to be a replacement.

At the initial Watson Analytics public unveiling, IBM leaders made the clear and direct statement that Watson Analytics is designed to be a

“, data scientist accelerator, not a data scientist replacement”.

After working with the software application myself for a few hours, I have quickly uncovered some serious reasons why you have no need for concern that Watson Analytics technology could replace the data scientist role.

This article is continued over at the Data-Mania blog. http://www.data-mania.com/blog/analytics-as-a-service-will-watson-analytics-replace-the-data-science-role/

#AnalyticsAsAService  #WatsonAnalytics
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Lillian Pierson's profile photoАни Марк's profile photo
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...
1.Data processing have two components - to get data in there and to transform it. So there are two critical points. When watsons get much more data than humans.and second when they start to transform it in much more complex way that humans. Learning play important role here and possibly create a third critical point.
At every critical point relation between humans and watsons will change dramatically. First point is passed and second is close too.
And here You go deeper in the model. Imagine human network that create and process information and watsons and they fight on who will give a better answer...and there is possibly another higher level conflict on rules that decide what 'better answer' means. There comes some point in which watsons will learn to simulate the output of human network.
Now see it from the other side. Imagine You are a watson what You will do? - getting data in is cheap for You, elementary transformations are much cheaper for You what is hard is creativity/thinking against numbers...so the idea is to select those 5%of data scientists that are hard to simulate, not to replace all.
IBM always used 'winner takes all' strategy - they know that those who get information first can make most of it - this is very troubling from human rights point of view and they are champions in destroin best software they touch - Taligent, VisualAge ... But they are very smart people have some of the greatest minds like Karp and Chaitin and as a rule they fail only on those things that don't make enough money and information asymmetry- so they don't really care for taking anyone's job which is waste of money and energy but for selection of those few who will make them 'number one' because nothing else matters in their strategy...
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Lillian Pierson

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My 3rd published book arrived today!! Managing ‪#‎BigData‬ Workflows for Dummies!! Watch this space for the free Ebook version that's coming soon thru BMC Software.
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IBM Open for Data - What That Means to You and Me http://bit.ly/1pL344m #bigdata #IOT #opendata #cognitive
Have you heard of IBM Open for Data? Neither had I! That's why I dug deeper. This article explains what IBM Open for Data means to you and me.
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Lillian Pierson

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Classifying "Data Scientists" within a spectrum is far more useful than thinking of them in terms of "Real vs Fake".

My thoughts on the "Real vs Fake Data Scientists" debate. #datascience
The discussion is much akin to the "Real vs Fake Data Scientists" debate that there's been so much of. Who's correct and who's full of crap? Find out here.
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Lillian Pierson

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Analytics-as-a-Service: Will Watson Analytics Replace the Data Science Role?

Ever since its launch in 2014, there has been some concern among the data science community on whether Watson Analytics (or other analytics-as-a-services products) could serve as a replacement for data science professionals. Let me settle that concern now by making this declarative statement: Watson Analytics is NOT capable of replacing an organization’s need for data scientists. And, rightly so, it was not designed to be a replacement.

At the initial Watson Analytics public unveiling, IBM leaders made the clear and direct statement that Watson Analytics is designed to be a

“, data scientist accelerator, not a data scientist replacement”.

After working with the software application myself for a few hours, I have quickly uncovered some serious reasons why you have no need for concern that Watson Analytics technology could replace the data scientist role.

This article is continued over at the Data-Mania blog. http://www.data-mania.com/blog/analytics-as-a-service-will-watson-analytics-replace-the-data-science-role/

#AnalyticsAsAService  #WatsonAnalytics
3 comments on original post
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Lillian Pierson

Discussion Forums  - 
 
 
Analytics-as-a-Service: Will Watson Analytics Replace the Data Science Role?

Ever since its launch in 2014, there has been some concern among the data science community on whether Watson Analytics (or other analytics-as-a-services products) could serve as a replacement for data science professionals. Let me settle that concern now by making this declarative statement: Watson Analytics is NOT capable of replacing an organization’s need for data scientists. And, rightly so, it was not designed to be a replacement.

At the initial Watson Analytics public unveiling, IBM leaders made the clear and direct statement that Watson Analytics is designed to be a

“, data scientist accelerator, not a data scientist replacement”.

After working with the software application myself for a few hours, I have quickly uncovered some serious reasons why you have no need for concern that Watson Analytics technology could replace the data scientist role.

This article is continued over at the Data-Mania blog. http://www.data-mania.com/blog/analytics-as-a-service-will-watson-analytics-replace-the-data-science-role/

#AnalyticsAsAService  #WatsonAnalytics
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Lillian Pierson

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Today we're celebrating 35,000+ strong on LinkedIn!!! LinkedIn has officially overtaken Twitter as our most popular social network outlet!! THANK YOU SO MUCH to everyone who has made that possible. CONNECT WITH US THERE for updates on training discounts, free webinars, live events, and other important news happening in the ‪#‎bigdata‬ and ‪#‎datascience‬ sector. 
http://www.linkedin.com/in/LillianPierson
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I added in a few new d3.js goodies... #dataviz
We recently redid this post from 2013, making it more user-friendly and adding a downloadable d3 js tutorial pdf. Hopefully our D3 fans will find it useful!
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Are you coming to my ‪#‎webinar‬ today?!? If so prepare yourself for a full-scale learning immersion on the latest @IBM‪#‎Big‬ Data and ‪#‎Analytics‬ has been up to! I will be discussing ‪#‎WatsonAnalytics‬ and its impact on professional data scientists, as well as doing a brief demo to show you how to use the WA application to analyze Twitter data. After that, I am going to give you the low-down on IBM's ‪#‎Datapalooza‬ event and what that's all about. Lastly, you'll get an introduction to IBM's new approach, ‪#‎OpenForData‬. Don't miss out! The webinar will start at 8:30 am CST (US), today! It's ‪#‎free‬ for you due to the sponsorship generosity of SimpliLearn. Register by going to bit.ly/SimpliLearn-Webinar-1 .
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Asking yourself the question, "What is a dashboard?" Here in this article, you will get the answer, and learn some great tips on creating a dashboard for yourself. #dataviz   #dashboard   #analytics  
If you find yourself at meetings and are still asking yourself "What is a dashboard?", then don't be embarrassed! The majority of business professionals...
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Communities
29 communities
Work
Occupation
Data science consultant, trainer, speaker. Author of Data Science for Dummies.
Skills
Data Science, Analytics
Employment
  • Data-Mania
    Founder & Chief Data Scientist, 2013 - present
  • Orange County Government
    Data Scientist / GIS Specialist
  • Barnes, Ferland, and Associates
    Project Engineer
Places
Map of the places this user has livedMap of the places this user has livedMap of the places this user has lived
Previously
Winter Park, Florida - Irvine, California - Austin, Texas
Story
Tagline
Bringing data literacy to the masses at Data-Mania ♤ Data science educator ✒ Author ✯ Paid speaker. Creative ღ Authentic ☸ Ambitious
Introduction
I started in the chemical sciences, as a Keck researcher working on exchange reactions for DNA/RNA molecules, and from there I went into the engineering field. After earning my Professional Engineering license, I went out on my own as a data science consultant. I've assisted global leaders in IT, major governmental and non-governmental entities, prestigious media corporations, and inspiring not-for-profit technology groups. Now I speak, train, and consult on the topics of data science, analytics, and big data.

My business base is in Houston, Texas, but I live in southeast Asia. For fun, I enjoy international travel.
Bragging rights
Data Science, Analytics
Education
  • University of Central Florida
    Environmental Engineering
  • University of Texas at Austin
    Chemistry
Basic Information
Gender
Female
Lillian Pierson's +1's are the things they like, agree with, or want to recommend.
Dec 4th 12 pm EST Virtual Event - An Inside Look at #WatsonAnalytics
www.data-mania.com

You’re invited to attend and engage in this Watson Analytics event. It’s meant to serve as an live interactive forum whereby you can ask que

DataKind + TeraData = A perfect data-do-good partnership
www.data-mania.com

Teradata Cares recently partnered with DataKind to kick off Teradata\'s annual conference that was held in Nashville, Tennessee from October

Talking about Legends… Let’s Talk about Jake Porway
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Well, here’s this brilliant man, with marketable skills that he could use to rake in heaps and heaps of cash and live a posh lifestyle in an

5 Must-Have Tactics and Metrics for Your User Retention Strategy #growth
www.data-mania.com

Today\'s installment covers five great user retention tactics and metrics. In case you missed them, over the summer I posted similar micro-g

When the Asian “Airpocalypse” Hits: How Biostatistics and Spatio-Tempora...
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Smog, smoke, and dust are the natural by-products of industrialization. Dr. Lung-Chang Chien of University of Texas’ Biostatistics Division

Machine Learning and DIY Recommendation Engines for Mom and Pop Ecommerc...
www.data-mania.com

In this article I introduce how machine learning algorithms work to produce recommendation systems for small business ecommerce. I introduce

IBM is Re-inventing the Analytics Experience in the Cloud
www.data-mania.com

I\'m attending IBM Big Data and Analytics\' Re-inventing the Analytics Experience in the Cloud Event, on September 16th at Times Square, NY!

5 Awesome Metrics for Monitoring and Optimizing Your User Activations
www.data-mania.com

It\'s time for round 3 of the Data-Mania summer series on ROIs and measuring analytics for online growth. Last week, we covered 7 Excellent

7 Excellent Metrics for Monitoring and Optimizing Your Acquisitions Tactics
www.data-mania.com

Time for round two in the Data-Mania summer series on ROIs and measuring analytics for online growth. This week, we go a bit broader and loo

Service Provider IT Report - Lillian Pierson - CSPs: Go Big or Go Home
www.serviceprovideritreport.com

Innovative forms of communication service provider (CSP) network analytics.

The Never-Ending Wars with Russia... Data Technologies to Forecast Emerg...
www.data-mania.com

Due to this real-time community-wide security incident communication system, local communities are provide with an adequate amount of timely

RPM2 Announces Prospect Targeting Breakthrough that Boldly Promises to b...
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predictive analytics, targeting, data scientists, cheaper, customer data

5 Great KPIs for Measuring Content Marketing ROI
www.data-mania.com

Data-Mania\'s summer series on ROIs and analytics is here! This week I am covering my 5 favorite metrics for measuring ROI for content marke

Data Analytics: Experts to Follow on Twitter
www.techopedia.com

Want to connect with the most influential voices talking about Data Analytics? Follow this group on Twitter.

Data Science for Dummies | LinkedIn
www.linkedin.com

I'm very excited to share with you the latest news on a current project! I'm authoring "Data Science for Dummies" for Wiley & Sons Publisher

A World Bank Data Dive - Visualizing Environmental Health and Child Mort...
www.data-mania.com

Increasing access to improved sanitation will likely coincide with a decrease in child mortality, but this will not always be the case. Some

Supercharge Your Analytics Career - Become a Deep Learning Master
www.data-mania.com

Deep learning made its name in 2012 when machine learning gurus used it to win a Kaggle competition. Recent success in such competitions sug

NOAA Scientist Describes How to Use Computational Statistics to Fight Gl...
www.data-mania.com

Although industrial and urban air pollution problems have reached critical mass, there is a small and brilliant group of hard-working atmosp

Adaptive Marketing Strategies to Make Your Brand into the Next Big Thing
www.data-mania.com

Recommendation engines are a tricky business, but we stand to gain a lot of market traction if we can employ even a few of the statistical m