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Demystifying #DataScience | @CloudExpo #BigData #AI #ArtificialIntelligence
Data science is about identifying those variables and metrics that might be better predictors of performance

[Opening Scene]: Billy Dean is pacing the office. He’s struggling to keep his delivery trucks at full capacity and on the road. Random breakdowns, unexpected employee absences, and unscheduled truck maintenance are impacting bookings, revenues and ultimately customer satisfaction. He keeps hearing from his business customers how they are leveraging data science to improve their business operations. Billy Dean starts to wonder if data science can help him. As he contemplates what data science can do for him, he slowly drifts off to sleep, and visions of Data Science starts dancing in his head…

[Poof! Suddenly Wizard Wei appears]: Hi, I’m your data science wizard to help alleviate your data science concerns. I don’t understand why folks try to make the data science discussion complicated. Let’s start simple with a simple definition of data science:

Data science is about identifying those variables and metrics that might be better predictors of performance

The key to a successful analytical model is having a robust set of variables against which to test for their predictive capabilities. And the key to having a robust set of variables from which to test is to get the business users engaged early in the process.

[A confused Billy Dean]: Okay, but I’m still confused. I mean, how does this really apply to my business?

[A patient Wizard Wei]: Well, let’s say that you are trying to predict which of your routes are likely to have under-capacity loads so that you can combine loads. In order to identify those variables that might be better predictors of under-capacity routes, you might ask your business users:

What data might you want to have in order to predict under-capacity routes?

The business users are likely to come up with a wide variety of variables, including:

Customer name Ship to location Customer industry
Building permits Customer tenure Change in customer size
Customer stock price Customer D&B rating Types of products hauled
Time of year Seasonality/Holidays Day of week
Traffic Weather Local Events
Distance from distribution center Open headcount on Indeed.com Tenure of logistics manager

The Data Science team will then gather these variables, perform some data transformations and enrichment, and then look for variables and combinations of variables that yield the best predictive results regarding under-capacity routes (see Figure 1).

Figure 1: Data Science Process

Role of Artificial Intelligence
[A less confuse Billy Dean]:
Ah, I think I understand, but what about all this talk about artificial intelligence? From some of these commercials on TV, it appears that robots with artificial intelligence will be ruling the world. Can you say Skynet?

[A still patient Wizard Wei]: Ah, that’s just marketing. Artificial intelligence is just one of many different tools in the predictive analytics kit bag of a data scientist. But artificial intelligence – while embracing some very sophisticated mathematical, data enrichment and computing techniques – is really pretty straightforward. All artificial intelligence is trying to do is to find and quantify relationships between variables buried in large data sets (see Figure 2).

Figure 2: Understanding Artificial Intelligence

[An inquisitive Billy Dean]: Okay, I’m starting to get it, but there seems to be some many
different analytic and predictive algorithms from which to choose. How does the business user know where to start?

[A growing frustrated Wizard Wei]: Ah, that’s the secret to the process. Business users don’t need to know which algorithms to use; they need to be able to identify those variables that might be better predictors of performance. It is up to the data science team to determine which variables are the most appropriate by testing the different algorithms.

Data Mining, Machine Learning and Artificial Intelligence (including areas such as cognitive computing, statistics, neural networks, text analytics, video analytics, etc.) are all members of the broader category of data science tools. Our data scientist team has experts in each of these areas, though no one data scientist is an expert at all of them (in spite of what they tell me). The different data science tools are used in different scenarios for different needs. Think of one of your mechanics. They have a large toolbox full of different tools. They determine what tools to use to fix a truck based upon the problem they are trying to solve. That’s exactly what a data scientist is doing, just with a different toolbox of algorithms.

No single algorithm is best over whole domain; so different algorithms are needed to cover different domains. Often combinations of algorithms are used in order to achieve the best results. To be honest, it’s like a giant jigsaw puzzle with the data science team constantly testing different combinations of metrics, data enrichment and algorithms until they find the combination that yields the best results.

[An enlightened Billy Dean]: I think I’ve finally got it. All of these different algorithms and techniques are just trying to help predict what is likely to happen so that I can make better operational and customer issues. But what’s the realm of what’s possible with data and analytics; I mean, how effective can my organization become at leveraging data and analytics to power my business?

[A proud Wizard Wei]: Great question, and the heart of the big data and data science conversation. Figure 3 shows how you could use these different data science tools to progress up the Big Data Business Model Maturity Index; to transition from running your business on Descriptive analytics that tell you what happened (Monitoring stage) to Predictive analytics that tell you what is likely to happen (Insights stage) to Prescriptive analytics that tell you what they should do (Optimization stage).

Figure 3: Leveraging Artificial Intelligence to drive Business Value

In the end, the data and the analytics are only useful if they help you optimize key operational processes, reduce compliance and security risks, uncover new revenue opportunities and create a more compelling, more prescriptive customer engagement. In the end, data and analytics are all about your business.

[A satisfied Billy Dean]: That’s great Wizard Wei! Thanks for your help!

Now, what can you do about my taxes…

To learn more about “Demystifying Data Science”, come to my Dell EMC World session: “Demystifying Data Science: A Pragmatic Guide To Building Big Data Use Cases” See you there!!

The post Demystifying Data Science appeared first on InFocus Blog | Dell EMC Services.

Read the original blog entry...

About William Schmarzo
Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business” and “Big Data MBA: Driving Business Strategies with Data Science”, is responsible for setting strategy and defining the Big Data service offerings for Hitachi Vantara as CTO, IoT and Analytics.

Previously, as a CTO within Dell EMC’s 2,000+ person consulting organization, he works with organizations to identify where and how to start their big data journeys. He’s written white papers, is an avid blogger and is a frequent speaker on the use of Big Data and data science to power an organization’s key business initiatives. He is a University of San Francisco School of Management (SOM) Executive Fellow where he teaches the “Big Data MBA” course. Bill also just completed a research paper on “Determining The Economic Value of Data”. Onalytica recently ranked Bill as #4 Big Data Influencer worldwide.

Bill has over three decades of experience in data warehousing, BI and analytics. Bill authored the Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements. Bill serves on the City of San Jose’s Technology Innovation Board, and on the faculties of The Data Warehouse Institute and Strata.

Previously, Bill was vice president of Analytics at Yahoo where he was responsible for the development of Yahoo’s Advertiser and Website analytics products, including the delivery of “actionable insights” through a holistic user experience. Before that, Bill oversaw the Analytic Applications business unit at Business Objects, including the development, marketing and sales of their industry-defining analytic applications.

Bill holds a Masters Business Administration from University of Iowa and a Bachelor of Science degree in Mathematics, Computer Science and Business Administration from Coe College.

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Cloud Expo - Cloud Looms Large on SYS-CON.TV


Cloud Expo 2013 East Opening Keynote by IBM
In this Cloud Expo Keynote, Danny Sabbah, CTO & General Manager, Next Generation Platform, will detail the critical architectural considerations and success factors organizations must internalize to successfully implement, optimize and innovate using next generation architectures.
Lisa Larson, Vice President of Enterprise Cloud Solutions of Rackspace Hosting Live From New York City
In the old world of IT, if you didn't have hardware capacity or the budget to buy more, your project was dead in the water. Budget constraints can leave some of the best, most creative and most ingenious innovations on the cutting room floor. It's a true dilemma for developers and innovators – why spend the time creating, when a project could be abandoned in a blink? That was the old world. In the new world of IT, developers rule. They have access to resources they can spin up instantly. A hybrid cloud ignites innovation and empowers developers to focus on what they need. A hybrid cloud blends the best of all worlds, public cloud, private cloud and dedicated servers to fit the needs of developers and offer the ideal environment for each app and workload without the constraints of a one-size-fits-all cloud.

Keynote: Driving Cloud Innovation: SSDs Change Cloud Storage Paradigm
Cloud is a transformational shift in computing that can have a powerful effect on enterprise IT when designed correctly and used to its full potential. Join Citrix in a discussion that centers on building, connecting and empowering users with cloud services and hear examples of how enterprises are solving real-world business challenges with an architecture and solution purpose-built for the cloud.

Go Beyond IaaS to Deliver "Anything As a Service"
Many organizations want to expand upon the IaaS foundation to deliver cloud services in all forms—software, mobility, infrastructure and IT. Understanding the strategy, planning process and tools for this transformation will help catalyze changes in the way the business operates and deliver real value. Join us to learn about the new ITaaS model and how to begin the transformation.


CloudEXPO Stories
With more than 30 Kubernetes solutions in the marketplace, it's tempting to think Kubernetes and the vendor ecosystem has solved the problem of operationalizing containers at scale or of automatically managing the elasticity of the underlying infrastructure that these solutions need to be truly scalable. Far from it. There are at least six major pain points that companies experience when they try to deploy and run Kubernetes in their complex environments. In this presentation, the speaker will detail these pain points and explain how cloud can address them.
The deluge of IoT sensor data collected from connected devices and the powerful AI required to make that data actionable are giving rise to a hybrid ecosystem in which cloud, on-prem and edge processes become interweaved. Attendees will learn how emerging composable infrastructure solutions deliver the adaptive architecture needed to manage this new data reality. Machine learning algorithms can better anticipate data storms and automate resources to support surges, including fully scalable GPU-centric compute for the most data-intensive applications. Hyperconverged systems already in place can be revitalized with vendor-agnostic, PCIe-deployed, disaggregated approach to composable, maximizing the value of previous investments.
When building large, cloud-based applications that operate at a high scale, it's important to maintain a high availability and resilience to failures. In order to do that, you must be tolerant of failures, even in light of failures in other areas of your application. "Fly two mistakes high" is an old adage in the radio control airplane hobby. It means, fly high enough so that if you make a mistake, you can continue flying with room to still make mistakes. In his session at 18th Cloud Expo, Lee Atchison, Principal Cloud Architect and Advocate at New Relic, discussed how this same philosophy can be applied to highly scaled applications, and can dramatically increase your resilience to failure.
Machine learning has taken residence at our cities' cores and now we can finally have "smart cities." Cities are a collection of buildings made to provide the structure and safety necessary for people to function, create and survive. Buildings are a pool of ever-changing performance data from large automated systems such as heating and cooling to the people that live and work within them. Through machine learning, buildings can optimize performance, reduce costs, and improve occupant comfort by sharing information within the building and with outside city infrastructure via real time shared cloud capabilities.
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
Top Stories for Cloud Expo 2012 East

In this Big Data Power Panel at the 10th International Cloud Expo, moderated by Cloud Expo Conference Chair Jeremy Geelan, Govind Rangasamy, Director of Product Management at Eucalyptus Systems; Kevin Brown; CEO of Coraid, Inc.; Christos Tryfonas, CTO and Co-Founder of Cetas; and Max Riggsbee, CMO and VP of Products for WhipTail, discussed such topics as: Big Data has existed since the early days of computing; why, then, do you think there is such an industry buzz around it right now? How is Big Data impacting storage and networking architecture in data centers? How about the intersection of Big Data Analytics and Cloud Computing - how big a sector is that and why? What's the difference between Big Data and Fast Data? ... (more)

Best Recent Articles on Cloud Computing & Big Data Topics
As we enter a new year, it is time to look back over the past year and resolve to improve upon it. In 2014, we will see more service providers resolve to add more personalization in enterprise technology. Below are seven predictions about what will drive this trend toward personalization.
IT organizations face a growing demand for faster innovation and new applications to support emerging opportunities in social, mobile, growth markets, Big Data analytics, mergers and acquisitions, strategic partnerships, and more. This is great news because it shows that IT continues to be a key stakeholder in delivering business service innovation. However, it also means that IT must deliver new innovation despite flat budgets, while maintaining existing services that grow more complex every day.
Cloud computing is transforming the way businesses think about and leverage technology. As a result, the general understanding of cloud computing has come a long way in a short time. However, there are still many misconceptions about what cloud computing is and what it can do for businesses that adopt this game-changing computing model. In this exclusive Q&A with Cloud Expo Conference Chair Jeremy Geelan, Rex Wang, Vice President of Product Marketing at Oracle, discusses and dispels some of the common myths about cloud computing that still exist today.
Despite the economy, cloud computing is doing well. Gartner estimates the cloud market will double by 2016 to $206 billion. The time for dabbling in the cloud is over! The 14th International Cloud Expo, co-located with 5th International Big Data Expo and 3rd International SDN Expo, to be held June 10-12, 2014, at the Javits Center in New York City, N.Y. announces that its Call for Papers is now open. Topics include all aspects of providing or using massively scalable IT-related capabilities as a service using Internet technologies (see suggested topics below). Cloud computing helps IT cut infrastructure costs while adding new features and services to grow core businesses. Clouds can help grow margins as costs are cut back but service offerings are expanded. Help plant your flag in the fast-expanding business opportunity that is The Cloud, Big Data and Software-Defined Networking: submit your speaking proposal today!
What do you get when you combine Big Data technologies….like Pig and Hive? A flying pig? No, you get a “Logical Data Warehouse.” In 2012, Infochimps (now CSC) leveraged its early use of stream processing, NoSQLs, and Hadoop to create a design pattern which combined real-time, ad-hoc, and batch analytics. This concept of combining the best-in-breed Big Data technologies will continue to advance across the industry until the entire legacy (and proprietary) data infrastructure stack will be replaced with a new (and open) one.
While unprecedented technological advances have been made in healthcare in areas such as genomics, digital imaging and Health Information Systems, access to this information has been not been easy for both the healthcare provider and the patient themselves. Regulatory compliance and controls, information lock-in in proprietary Electronic Health Record systems and security concerns have made it difficult to share data across health care providers.
Cloud Expo, Inc. has announced today that Vanessa Alvarez has been named conference chair of Cloud Expo® 2014. 14th International Cloud Expo will take place on June 10-12, 2014, at the Javits Center in New York City, New York, and 15th International Cloud Expo® will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
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Ulitzer.com announced "the World's 30 most influential Cloud bloggers," who collectively generated more than 24 million Ulitzer page views. Ulitzer's annual "most influential Cloud bloggers" list was announced at Cloud Expo, which drew more delegates than all other Cloud-related events put together worldwide. "The world's 50 most influential Cloud bloggers 2010" list will be announced at the Cloud Expo 2010 East, which will take place April 19-21, 2010, at the Jacob Javitz Convention Center, in New York City, with more than 5,000 expected to attend.
It's a simple fact that the better sales reps understand their prospects' intentions, preferences and pain points during calls, the more business they'll close. Each day, as your prospects interact with websites and social media platforms, their behavioral data profile is expanding. It's now possible to gain unprecedented insight into prospects' content preferences, product needs and budget. We hear a lot about how valuable Big Data is to sales and marketing teams. But data itself is only valuable when it's part of a bigger story, made visible in the right context.
Cloud Expo, Inc. has announced today that Larry Carvalho has been named Tech Chair of Cloud Expo® 2014. 14th International Cloud Expo will take place on June 10-12, 2014, at the Javits Center in New York City, New York, and 15th International Cloud Expo® will take place on November 4-6, 2014, at the Santa Clara Convention Center in Santa Clara, CA.
Everyone talks about a cloud-first or mobile-first strategy. It's the trend du jour, and for good reason as these innovative technologies have revolutionized an industry and made savvy companies a lot of money. But consider for a minute what's emerging with the Age of Context and the Internet of Things. Devices, interfaces, everyday objects are becoming endowed with computing smarts. This is creating an unprecedented focus on the Application Programming Interface (API) as developers seek to connect these devices and interfaces to create new supporting services and hybrids. I call this trend the move toward an API-first business model and strategy.
We live in a world that requires us to compete on our differential use of time and information, yet only a fraction of information workers today have access to the analytical capabilities they need to make better decisions. Now, with the advent of a new generation of embedded business intelligence (BI) platforms, cloud developers are disrupting the world of analytics. They are using these new BI platforms to inject more intelligence into the applications business people use every day. As a result, data-driven decision-making is finally on track to become the rule, not the exception.
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Cloud Expo was a fantastic event for CSS Corp - we easily exceeded our objectives for engaging with clients and prospects."
AHMAR ABBAS
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With our launch at Cloud Expo, we successfully transformed the company from a relatively unknown European player into the dominant player in the market. Our competitors were taken by surprise and just blown away. We got a huge number of really high quality leads..."
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We were extremely pleased with Cloud Expo this year - I’d say it exceeded expectations all around. This is the same info we got from partners who attended as well. Nice job!"
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Digital Transformation Blogs
As Cybric's Chief Technology Officer, Mike D. Kail is responsible for the strategic vision and technical direction of the platform. Prior to founding Cybric, Mike was Yahoo's CIO and SVP of Infrastructure, where he led the IT and Data Center functions for the company. He has more than 24 years of IT Operations experience with a focus on highly-scalable architectures.
The explosion of new web/cloud/IoT-based applications and the data they generate are transforming our world right before our eyes. In this rush to adopt these new technologies, organizations are often ignoring fundamental questions concerning who owns the data and failing to ask for permission to conduct invasive surveillance of their customers. Organizations that are not transparent about how their systems gather data telemetry without offering shared data ownership risk product rejection, regulatory scrutiny and increasing consumer lack of trust in technology in general.
René Bostic is the Technical VP of the IBM Cloud Unit in North America. Enjoying her career with IBM during the modern millennial technological era, she is an expert in cloud computing, DevOps and emerging cloud technologies such as Blockchain. Her strengths and core competencies include a proven record of accomplishments in consensus building at all levels to assess, plan, and implement enterprise and cloud computing solutions. René is a member of the Society of Women Engineers (SWE) and a member of the Society of Information Management (SIM) Atlanta Chapter. She received a Business and Ec...
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Cloud Expo 2011 Allstar Conference Faculty

S.F.S.
Dell

Singer
NRO

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Oracle

Ryan
OpSource

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PwC

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Oracle

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AWS

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RightScale

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NYT

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Oracle

What The Enterprise IT World Says About Cloud Expo
 
"We had extremely positive feedback from both customers and prospects that attended the show and saw live demos of NaviSite's enterprise cloud based services."
  –William Toll
Sr. Director, Marketing & Strategic Alliances
Navisite
 


 
"More and better leads than ever expected! I have 4-6 follow ups personally."
  –Richard Wellner
Chief Scientist
Univa UD
 


 
"Good crowd, good questions. The event looked very successful."
  –Simon Crosby
CTO
Citrix Systems
 


 
"It's the largest cloud computing conference I've ever seen."
  –David Linthicum
CTO
Brick Group