Welcome!

Cloud Security Authors: XebiaLabs Blog, Mehdi Daoudi, Derek Weeks, Liz McMillan, ManageEngine IT Matters

Related Topics: Containers Expo Blog, Artificial Intelligence, @CloudExpo, @BigDataExpo, @ThingsExpo

Containers Expo Blog: Blog Feed Post

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.

More Stories By William Schmarzo

Bill Schmarzo, author of “Big Data: Understanding How Data Powers Big Business”, is responsible for setting the strategy and defining the Big Data service line offerings and capabilities for the EMC Global Services organization. As part of Bill’s CTO charter, he is responsible for working with organizations to help them identify where and how to start their big data journeys. He’s written several white papers, avid blogger and is a frequent speaker on the use of Big Data and advanced analytics to power organization’s key business initiatives. He also teaches the “Big Data MBA” at the University of San Francisco School of Management.

Bill has nearly three decades of experience in data warehousing, BI and analytics. Bill authored EMC’s Vision Workshop methodology that links an organization’s strategic business initiatives with their supporting data and analytic requirements, and co-authored with Ralph Kimball a series of articles on analytic applications. Bill has served on The Data Warehouse Institute’s faculty as the head of the analytic applications curriculum.

Previously, Bill was the Vice President of Advertiser Analytics at Yahoo and the Vice President of Analytic Applications at Business Objects.

@ThingsExpo Stories
SYS-CON Events announced today that T-Mobile will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. As America's Un-carrier, T-Mobile US, Inc., is redefining the way consumers and businesses buy wireless services through leading product and service innovation. The Company's advanced nationwide 4G LTE network delivers outstanding wireless experiences to 67.4 million customers who are unwilling to compromise on ...
With major technology companies and startups seriously embracing Cloud strategies, now is the perfect time to attend @CloudExpo | @ThingsExpo, June 6-8, 2017, at the Javits Center in New York City, NY and October 31 - November 2, 2017, Santa Clara Convention Center, CA. Learn what is going on, contribute to the discussions, and ensure that your enterprise is on the right path to Digital Transformation.
20th Cloud Expo, taking place June 6-8, 2017, at the Javits Center in New York City, NY, will feature technical sessions from a rock star conference faculty and the leading industry players in the world. Cloud computing is now being embraced by a majority of enterprises of all sizes. Yesterday's debate about public vs. private has transformed into the reality of hybrid cloud: a recent survey shows that 74% of enterprises have a hybrid cloud strategy.
Data is an unusual currency; it is not restricted by the same transactional limitations as money or people. In fact, the more that you leverage your data across multiple business use cases, the more valuable it becomes to the organization. And the same can be said about the organization’s analytics. In his session at 19th Cloud Expo, Bill Schmarzo, CTO for the Big Data Practice at Dell EMC, introduced a methodology for capturing, enriching and sharing data (and analytics) across the organization...
Five years ago development was seen as a dead-end career, now it’s anything but – with an explosion in mobile and IoT initiatives increasing the demand for skilled engineers. But apart from having a ready supply of great coders, what constitutes true ‘DevOps Royalty’? It’ll be the ability to craft resilient architectures, supportability, security everywhere across the software lifecycle. In his keynote at @DevOpsSummit at 20th Cloud Expo, Jeffrey Scheaffer, GM and SVP, Continuous Delivery Busine...
With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend @ThingsExpo 2016 in New York. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be! Internet of @ThingsExpo, taking place June 6-8, 2017, at the Javits Center in New York City, New York, is co-located with 20th Cloud Expo and will feature technical sessions from a rock star conference faculty and the leading industry p...
SYS-CON Events announced today that Juniper Networks (NYSE: JNPR), an industry leader in automated, scalable and secure networks, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Juniper Networks challenges the status quo with products, solutions and services that transform the economics of networking. The company co-innovates with customers and partners to deliver automated, scalable and secure network...
New competitors, disruptive technologies, and growing expectations are pushing every business to both adopt and deliver new digital services. This ‘Digital Transformation’ demands rapid delivery and continuous iteration of new competitive services via multiple channels, which in turn demands new service delivery techniques – including DevOps. In this power panel at @DevOpsSummit 20th Cloud Expo, moderated by DevOps Conference Co-Chair Andi Mann, panelists will examine how DevOps helps to meet th...
SYS-CON Events announced today that Hitachi, the leading provider the Internet of Things and Digital Transformation, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Hitachi Data Systems, a wholly owned subsidiary of Hitachi, Ltd., offers an integrated portfolio of services and solutions that enable digital transformation through enhanced data management, governance, mobility and analytics. We help globa...
@GonzalezCarmen has been ranked the Number One Influencer and @ThingsExpo has been named the Number One Brand in the “M2M 2016: Top 100 Influencers and Brands” by Analytic. Onalytica analyzed tweets over the last 6 months mentioning the keywords M2M OR “Machine to Machine.” They then identified the top 100 most influential brands and individuals leading the discussion on Twitter.
SYS-CON Events announced today that Hitachi, the leading provider the Internet of Things and Digital Transformation, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Hitachi Data Systems, a wholly owned subsidiary of Hitachi, Ltd., offers an integrated portfolio of services and solutions that enable digital transformation through enhanced data management, governance, mobility and analytics. We help globa...
Most technology leaders, contemporary and from the hardware era, are reshaping their businesses to do software in the hope of capturing value in IoT. Although IoT is relatively new in the market, it has already gone through many promotional terms such as IoE, IoX, SDX, Edge/Fog, Mist Compute, etc. Ultimately, irrespective of the name, it is about deriving value from independent software assets participating in an ecosystem as one comprehensive solution.
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, regu...
NHK, Japan Broadcasting, will feature the upcoming @ThingsExpo Silicon Valley in a special 'Internet of Things' and smart technology documentary that will be filmed on the expo floor between November 3 to 5, 2015, in Santa Clara. NHK is the sole public TV network in Japan equivalent to the BBC in the UK and the largest in Asia with many award-winning science and technology programs. Japanese TV is producing a documentary about IoT and Smart technology and will be covering @ThingsExpo Silicon Val...
SYS-CON Events announced today that SoftLayer, an IBM Company, has been named “Gold Sponsor” of SYS-CON's 18th Cloud Expo, which will take place on June 7-9, 2016, at the Javits Center in New York, New York. SoftLayer, an IBM Company, provides cloud infrastructure as a service from a growing number of data centers and network points of presence around the world. SoftLayer’s customers range from Web startups to global enterprises.
Bert Loomis was a visionary. This general session will highlight how Bert Loomis and people like him inspire us to build great things with small inventions. In their general session at 19th Cloud Expo, Harold Hannon, Architect at IBM Bluemix, and Michael O'Neill, Strategic Business Development at Nvidia, discussed the accelerating pace of AI development and how IBM Cloud and NVIDIA are partnering to bring AI capabilities to "every day," on-demand. They also reviewed two "free infrastructure" pr...
SYS-CON Events announced today that Super Micro Computer, Inc., a global leader in compute, storage and networking technologies, will exhibit at SYS-CON's 20th International Cloud Expo®, which will take place on June 6-8, 2017, at the Javits Center in New York City, NY. Supermicro (NASDAQ: SMCI), the leading innovator in high-performance, high-efficiency server technology, is a premier provider of advanced server Building Block Solutions® for Data Center, Cloud Computing, Enterprise IT, Hadoop/...
Judith Hurwitz is president and CEO of Hurwitz & Associates, a Needham, Mass., research and consulting firm focused on emerging technology, including big data, cognitive computing and governance. She is co-author of the book Cognitive Computing and Big Data Analytics, published in 2015. Her Cloud Expo session, "What Is the Business Imperative for Cognitive Computing?" is scheduled for Wednesday, June 8, at 8:40 a.m. In it, she puts cognitive computing into perspective with its value to the busin...
NHK, Japan Broadcasting, will feature the upcoming @ThingsExpo Silicon Valley in a special 'Internet of Things' and smart technology documentary that will be filmed on the expo floor between November 3 to 5, 2015, in Santa Clara. NHK is the sole public TV network in Japan equivalent to the BBC in the UK and the largest in Asia with many award-winning science and technology programs. Japanese TV is producing a documentary about IoT and Smart technology and will be covering @ThingsExpo Silicon Val...
SYS-CON Events announced today that CollabNet, a global leader in enterprise software development, release automation and DevOps solutions, will be a Bronze Sponsor of SYS-CON's 20th International Cloud Expo®, taking place from June 6-8, 2017, at the Javits Center in New York City, NY. CollabNet offers a broad range of solutions with the mission of helping modern organizations deliver quality software at speed. The company’s latest innovation, the DevOps Lifecycle Manager (DLM), supports Value S...