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Is Data Science Really Science? | @BigDataExpo #BigData #Analytics #DataScience
Science works within systems of laws such as the laws of physics, thermodynamics, mathematics, electromagnetism

My son Max is home from college and that always leads to some interesting conversations.  Max is in graduate school at Iowa State University where he is studying kinesiology and strength training.  As part of his research project, he is applying physics to athletic training in order to understand how certain types of exercises can lead to improvements in athletic speed, strength, agility, and recovery.

Figure 1:  The Laws of Kinesiology

Max was showing me one drill designed to increase the speed and thrust associated with jumping (Max added 5 inches to his vertical leap over the past 6 weeks, and can now dunk over the old man).  When I was asking him about the science behind the drill, he went into great details about the interaction between the sciences of physics, biomechanics and human anatomy.

Max could explain to me how the laws of physics (the study of the properties of matter and energy.), kinesiology (the study of human motion that mainly focuses on muscles and their functions) and biomechanics (they study of movement involved in strength exercise or in the execution of a sport skill) interacted to produce the desired outcomes.  He could explain why it worked.

And that is the heart of my challenges with treating data science as a science.  As a data scientist, I can predict what is likely to happen, but I cannot explain why it is going to happen.  I can predict when someone is likely to attrite, or respond to a promotion, or commit fraud, or pick the pink button over the blue button, but I cannot tell you why that’s going to happen.  And I believe that the inability to explain why something is going to happen is why I struggle to call “data science” a science.

Okay, let the hate mail rain down on me, but let me explain why this is an important distinction!

What Is Science?
Science
is the intellectual and practical activity encompassing the systematic study of the structure and behavior of the physical and natural world through observation and experiment.

Science works within systems of laws such as the laws of physics, thermodynamics, mathematics, electromagnetism, aerodynamics, electricity (like Ohm’s law), Newton’s law of motions, and chemistry.  Scientists can apply these laws to understand why certain actions lead to certain outcomes.  In many disciplines, it is critical (life and death critical in some cases) that the scientists (or engineers) know why something is going to occur:

  • In pharmaceuticals, chemists need to understand how certain chemicals can be combined in certain combinations (recipes) to drive human outcomes or results.
  • In mechanical engineering, building engineers need to know how certain materials and designs can be combined to support the weight of a 40 story building (that looks like it was made out of Lego blocks).
  • In electrical engineering, electrical engineers need to understand how much wiring, what type of wiring and the optimal designs are required to support the electrical needs of buildings or vehicles.

Again, the laws that underpin these disciplines can be used to understand why certain actions or combinations lead to predictable outcomes.

Big Data and the “Death” of Why
An article by Chris Anderson in 2006 titled “The End of Theory: The Data Deluge Makes the Scientific Method Obsolete” really called into question the “science” nature of the data science role.  The premise of the article was that the massive amounts of data were yielding insights about the human behaviors without requiring the heavy statistical modeling typically needed when using sampled data sets.  This is the quote that most intrigued me:

“Google conquered the advertising world with nothing more than applied mathematics. It didn’t pretend to know anything about the culture and conventions of advertising — it just assumed that better data, with better analytical tools, would win the day. And Google was right.”

With the vast amounts of detailed data available and high-powered analytic tools, it is possible to identify what works without having to worry about why it worked.  Maybe when it comes to human behaviors, there are no laws that can be used to understand (or codify) why humans take certain actions under certain conditions.  In fact, we already know that humans are illogical decision-making machines (see “Human Decision-Making in a Big Data World”).

However, there are some new developments that I think will require “data science” to become more like other “sciences.”

Internet of Things and the “Birth” of Why
The Internet of Things (IOT) will require organizations to understand and codify why certain inputs lead to predictable outcomes.  For example, it will be critical for manufacturers to understand and codify why certain components in a product break down most often, by trying to address questions such as:

  • Was the failure caused by the materials used to build the component?
  • Was the failure caused by the design of the component?
  • Was the failure caused by the use of the component?
  • Was the failure caused by the installation of the component?
  • Was the failure caused by the maintenance of the component?

As we move into the world of IoT, we will start to see increased collaboration between analytics and physics.  See what organizations like GE are doing with the concept of “Digital Twins”.

The Digital Twin involves building a digital model, or twin, of every machine – from a jet engine to a locomotive – to grow and create new business and service models through the Industrial Internet.[1]

Digital twins are computerized companions of physical assets that can be used for various purposes. Digital twins use data from sensors installed on physical objects to represent their real-time status, working condition or position.[2]

GE is building digital models that mirror the physical structures of their products and components.  This allows them to not only accelerate the development of new products, but allows them to test the products in a greater number of situations to determine metrics such as mean-time-to-failure, stress capability and structural loads.

As the worlds of physics and IoT collide, data scientist will become more like other “scientists” as their digital world will begin to be governed by the laws that govern disciplines such as physics, aerodynamics, chemistry and electricity.

Data Science and the Cost of Wrong
Another potential driver in the IoT world is the substantial cost of being wrong.  As discussed in my blog “Understanding Type I and Type II Errors”, the cost of being wrong (false positives and false negatives) has minimal impact when trying to predict human behaviors such as which customers might respond to which ads, or which customers are likely to recommend you to their friends.

However in the world of IOT, the costs of being wrong (false positives and false negatives) can have severe or even catastrophic financial, legal and liability costs.  Organizations cannot afford to have planes falling out of the skies or autonomous cars driving into crowds or pharmaceuticals accidently killing patients.

Summary
Traditionally, big data historically was not concerned with understanding or quantifying “why” certain actions occurred because for the most part, organizations were using big data to understand and predict customer behaviors (e.g., acquisition, up-sell, fraud, theft, attrition, advocacy).  The costs associated with false positives and false negatives were relatively small compared to the financial benefit or return.

And while there may never be “laws” that dictate human behaviors, in the world of IOT where organizations are melding analytics (machine learning and artificial intelligence) with physical products, we will see “data science” advancing beyond just “data” science.  In IOT, the data science team must expand to include scientists and engineers from the physical sciences so that the team can understand and quantify the “why things happen” aspect of the analytic models.  If not, the costs could be catastrophic.

[1] https://www.ge.com/digital/blog/dawn-digital-industrial-era

[2] https://en.wikipedia.org/wiki/Digital_Twins

The post Is Data Science Really 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”, 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.

Presentation Slides
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BEAMER
goTraverse

GETTENS
goTraverse

CHAMBLISS
ReadyTalk

HERBERTS
Cityzen Data

REITBAUER
Dynatrace

WILLIAM-
SON

Cloud
Computing

SCHMARZO
EMC

WOOD
VeloCloud

WALLGREN
Electric Cloud

VARAN-
NATH

GE

SRIDHARA-
BALAN

Pulzze

METRIC
Linux

MONTES
Iced

ARIOLA
Parasoft

HOLT
Daitan

CUNNING-
HAM

ReadyTalk

BEDRO-
SIAN

Cypress

NAMIE
Cisco

NAKA-
GAWA

Transparent
Cloud

SHIBATA
Transparent
Cloud

BOYD
Neo4j

VANDER-
MINDEN

Flatiron
Strategies

JAME-
NSKY

Embotics

KOCHER
Grey Heron

SPROULE
Metavine

BLACK
SQLstream

WARD
DWE

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

BUTLER
Tego

ROWE
IBM Cloud

SKILLERN
Intel

SMITH
Numerex
@ThingsExpo New York All-Star Speakers Include

CLELAND
HGST

VASILIOU
Catchpoint

WALLGREN
Electric Cloud

HINCH-
CLIFFE

7Summits

DE SOUZA
Cisco

RANDALL
Gartner

ARMSTRONG
AppNeta

SMALLTREE
Cazena

MCCARTHY
Bsquare

DELOACH
Infobright

QUINT
Ontegrity

MALAUCHLAN
Buddy Platform

PALIOTTA
Vector

MITRA
Cognizant

KOCHER
Grey Heron

PAPDO
POULOS

Cloud9

HARLAN
Two Bulls

GOLO
SHUBIN

Bit6

PROIETTI
Location
Smart

MARTIN
nfrastructure

MOULINE
Everbridge

MARSH
Blue Pillar

PARKS
SecureRF

PEROTTI
Plantronics

HOFFMAN
EastBanc

WATSON
Trendalyze

BENSONOFF
Unigma

SHAN
CTS

MATTELA
Redpine

GILLEN
Spark
Coginition

SOLT
Netvibes

BERNARDO
GE Digital

ROMANSKY
TrustPoint

BEAMER
GoTransverse

LESTER
LogMeIn

PONO
-MAREVA

Google

SINGH
Sencha

CALKINS
Amadeus

KLEIN
Rachio

HOASIN
Aeris

SARKARIA
PHEMI

SPROULE
Metavine

SNELL
Intel

LEVINE
CytexOne

ALLEN
Freewave

MCCALLUM
Falconstor

HYEDT
Seamless

@ThingsExpo Silicon Valley All-Star Speakers Include

SCHULZ
Luxoft

TAMBURINI
Autodesk

MCCARTHY
Bsquare

THURAI
SaneIoT

TURNER
Cloudian

ENDO
Intrepid

NAKAGAWA
Transparent

SHIBATA
Transparent

LEVANT-LEVI
testRTC

VARAN NATH
GE

COOPER
M2Mi

SENAY
Teletax

SKEEN
Vitria

KOCHER
Grey Heron

GREENE
PubNub

MAGUIRE
HP

MATTHIEU
Octoblu

STEINER-JOVIC
AweSense

LYNN
AgilData

HEDGES
Cloudata

DUFOUR
Webroot

ROBERTS
Platform

JONES
Deep

PFEIFFER
NICTA

NIELSEN
Redis

PAOLALANTORIO
DataArchon

KAHN
Solgenia

LOPEZ
Kurento

KIM
MapR

BROMHEAD
Instaclustr

LEVINE
CytexOne

BONIFAZI
Solgenia

GORBACHEV
Intelligent
Systems

THYKATTIL
Navisite

TRELOAR
Bebaio

SIVARAMA-
KRISHNAN

Red Hat
Cloud Expo New York All-Star Speakers Included

DE SOUZA
Cisco

POTTER
SafeLogic

ROBINSON
CompTIA

WARUSA
-WITHANA

WSO2 Inc

MEINER
Oracle

CHOU
Microsoft

HARRISON
Tufin

BRUNOZZI
VMware

KIM
MapR

KANE
Dyn

SICULAR
Basho

TURNER
Cloudian

KUMAR
Liaison

ADAMIAK
Liaison

KHAN
Solgenia

BONIFAZI
Solgenia

SUSSMAN
Coalfire

ISAACSON
RMS

LYNN
CodeFutures

HEABERLIN
Windstream

RAMA
MURTHY

Virtusa

BOSTOCK
IndependenceIT

DE MENO
CommVault

GRILLI
Adobe

WILLIAMS
Rancher Labs

CRISWELL
Alert Logic

COTY
Alert Logic

JACOBS
SingleHop

MARAVEI
Cisco

JACKSON
Softlayer

SINGH
IBM

HAZARD
Softlayer

GALLO
Softlayer

TAMASKAR
GENBAND

SUBRA
-MANIAN

Emcien

LEVESQUE
Windstream

IVANOV
StorPool

BLOOMBERG
Intellyx

BUDHANI
Soha

HATHAWAY
IBM Watson

TOLL
ProfitBricks

LANDRY
Microsoft

BEARFIELD
Blue Box

HERITAGE
Akana

PILUSO
SIASMSP

HOLT
IBM Cloudant

SHAN
CTS

PICCININNI
EMC

BRON-
GERSMA

Modulus

PAIGE
CenturyLink

SABHIKHI
Cognitive Scale

MILLS
Green House Data

KATZEN
CenturyLink

SLOPER
CenturyLink

SRINIVAS
EMC

TALREJA
Cisco

GORBACHEV
Systems Services Inc.

COLLISON
Apcera

PRABHU
OpenCrowd

LYNN
CodeFutures

SWARTZ
Ericsson

MOSHENKO
CoreOS

BERMINGHAM
SIOS

WILLIS
Stateless Networks

MURPHY
Gridstore

KHABE
Vicom

NIKOLOV
GetClouder

DIETZE
Windstream

DALRYMPLE
EnterpriseDB

MAZZUCCO
TierPoint

RIVERA
WHOA.com

HERITAGE
Akana

SEYMOUR
6fusion

GIANNETTO
Author

CARTER
IBM

ROGERS
Virtustream
Cloud Expo Silicon Valley All-Star Speakers

TESAR
Microsoft

MICKOS
HP

BHARGAVA
Intel

RILEY
Riverbed

DEVINE
IBM

ISAACSON
CodeFutures

LYNN
HP

HINKLE
Citrix

KHAN
Solgenia

SINGH
Bigdata

BEACH
SendGrid

BOSTOCK
IndependenceIT

DE SOUZA
Cisco

PATTATHIL
Harbinger

O'BRIEN
Aria Systems

BONIFAZI
Solgenia

BIANCO
Solgenia

PROCTOR
NuoDB

DUGGAL
EnterpriseWeb

TEGETHOFF
Appcore

BRUNOZZI
VMware

HICKENS
Parasoft

KLEBANOV
Cisco

PETERS
Esri

GOLDBERG
Vormetric

CUMBER-
LAND

Dimension

ROSENDAHL
Quantum

LOOMIS
Cloudant

BRUNO
StackIQ

HANNON
SoftLayer

JACKSON
SoftLayer

HOCH
Virtustream

KAPADIA
Seagate

PAQUIN
OnLive

TSAI
Innodisk

BARRALL
Connected Data

SHIAH
AgilePoint

SEGIL
Verizon

PODURI
Citrix

COWIE
Dyn

RITTEN-
HOUSE

Cisco

FALLOWS
Kaazing

THYKATTIL
TimeWarner

LEIDUCK
SAP

LYNN
HP

WAGSTAFF
BSQUARE

POLLACK
AOL

KAMARAJU
Vormetric

BARRY
Catbird

MENDEN-
HALL

SUPERNAP

SHAN
KEANE

PLESE
Verizon

BARNUM
Voxox

TURNER
Cloudian

CALDERON
Advanced Systems

AGARWAL
SOA Software

LEE
Quantum

OBEROI
Concurrent, Inc.

HATEM
Verizon

GALEY
Autodesk

CAUTHRON
NIMBOXX

BARSOUM
IBM

GORDON
1Plug

LEWIS
Verizon

YEO
OrionVM

NAKAGAWA
Transparent Cloud Computing

SHIBATA
Transparent Cloud Computing

NATH
GE

GOKCEN
GE

STOICA
Databricks

TANKEL
Pivotal Software


Testimonials
This week I had the pleasure of delivering the opening keynote at Cloud Expo New York. It was amazing to be back in the great city of New York with thousands of cloud enthusiasts eager to learn about the next step on their journey to embracing a cloud-first worldl."
@SteveMar_Msft
General Manager of Window Azure
 
How does Cloud Expo do it every year? Another INCREDIBLE show - our heads are spinning - so fun and informative."
@SOASoftwareInc
 
Thank you @ThingsExpo for such a great event. All of the people we met over the past three days makes us confident IoT has a bright future."
Yasser Khan
CEO of @Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Peak_Ten


Who Should Attend?
Senior Technologists including CIOs, CTOs & Vps of Technology, Chief Systems Engineers, IT Directors and Managers, Network and Storage Managers, Enterprise Architects, Communications and Networking Specialists, Directors of Infrastructure.

Business Executives including CEOs, CMOs, & CIOs , Presidents & SVPs, Directors of Business Development , Directors of IT Operations, Product and Purchasing Managers, IT Managers.

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Join Us as a Media Partner - Together We Can Rock the IT World!
SYS-CON Media has a flourishing Media Partner program in which mutually beneficial promotion and benefits are arranged between our own leading Enterprise IT portals and events and those of our partners.

If you would like to participate, please provide us with details of your website/s and event/s or your organization and please include basic audience demographics as well as relevant metrics such as ave. page views per month.

To get involved, email Patricia Henderson at patricia@sys-con.com.

@ThingsExpo Blogs
SYS-CON Events announced today that DXWorldExpo has been named “Global Sponsor” of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Digital Transformation is the key issue driving the global enterprise IT business. Digital Transformation is most prominent among Global 2000 enterprises and government institutions.
While the focus and objectives of IoT initiatives are many and diverse, they all share a few common attributes, and one of those is the network. Commonly, that network includes the Internet, over which there isn't any real control for performance and availability. Or is there? The current state of the art for Big Data analytics, as applied to network telemetry, offers new opportunities for improving and assuring operational integrity. In his session at @ThingsExpo, Jim Frey, Vice President of Strategic Alliances at Kentik, discussed tactics and tools to bridge the gap between IoT project team...
"We provide IoT solutions. We provide the most compatible solutions for many applications. Our solutions are industry agnostic and also protocol agnostic," explained Richard Han, Head of Sales and Marketing and Engineering at Systena America, in this SYS-CON.tv interview at @ThingsExpo, held June 6-8, 2017, at the Javits Center in New York City, NY.
"We've been engaging with a lot of customers including Panasonic, we've been involved with Cisco and now we're working with the U.S. government - the Department of Homeland Security," explained Peter Jung, Chief Product Officer at Pulzze Systems, in this SYS-CON.tv interview at @ThingsExpo, held June 6-8, 2017, at the Javits Center in New York City, NY.
A recent BusinessWeek article titled “America’s Retailers Are Closing Stores Faster Than Ever” summarizes the epidemic that retailers are facing today (see Figure 1). Retailers are closing stores at a record path and the driving force behind the acceleration in store closings is Amazon, who now accounts for over 50% of all on-line retail sales (see Figure 2). What are retailers to do when the tricks and techniques that worked in the past just don’t work in today’s real-time data and analytics driven business world? Business models that worked in a world that valued size and location quickly...
Today, machine learning is found in almost every product and service by Apple. They use deep learning to extend battery life between charges on their devices and detect fraud on the Apple store, recognize the locations and faces in your photos, and help Apple choose news stories for you. The concept of AI (Artificial Intelligence) has been the subject of many discussions lately. According to some predictions, AI will have the ability to learn by itself, outclassing the capabilities of the human brain, and even manage to fight for equal rights by the year 2100. Even though these are (still) ju...
SYS-CON Events announced today that DXWorldExpo has been named “Global Sponsor” of SYS-CON's 21st International Cloud Expo, which will take place on Oct 31 – Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA. Digital Transformation is the key issue driving the global enterprise IT business. Digital Transformation is most prominent among Global 2000 enterprises and government institutions.
The current age of digital transformation means that IT organizations must adapt their toolset to cover all digital experiences, beyond just the end users’. Today’s businesses can no longer focus solely on the digital interactions they manage with employees or customers; they must now contend with non-traditional factors. Whether it's the power of brand to make or break a company, the need to monitor across all locations 24/7, or the ability to proactively resolve issues, companies must adapt to the new world.
In his session at @ThingsExpo, Eric Lachapelle, CEO of the Professional Evaluation and Certification Board (PECB), provided an overview of various initiatives to certify the security of connected devices and future trends in ensuring public trust of IoT. Eric Lachapelle is the Chief Executive Officer of the Professional Evaluation and Certification Board (PECB), an international certification body. His role is to help companies and individuals to achieve professional, accredited and worldwide recognized certification against various international standards. He also has extensive experience as ...
In the No-Code corner are the ‘citizen developers’ – business users who can build functional but generally limited apps without having to write a line of code. The Low-Code corner, in contrast, centers on professional developers, streamlining and simplifying their work – delivering enterprise-class applications with little or no hand-coding. So far so good. Confusing, yes – but focusing on personas rather than coding provides a useful frame of reference. Only one problem: even this emerging model of the Low-Code/No-Code marketplace is itself ripe for its own disruption. And you ain’t se...
The cloud ushered in a fundamental change in the way applications are deployed. Instead of worrying about how much dedicated hardware to order for your data center, you simply spin up as many servers as you need to do the job, then decommission them once the job is done. Yet, you still have to plan how many servers you will need at each stage of processing; you still have to remember to decommission them when done; and you pay for the entire virtual machine during the time you use it even though the server may be idle for most of that time.
Many organizations are associating data monetization with selling their data. But selling data is not a trivial task, especially for organizations whose primary business relies on its data. Organizations new to selling data need to be concerned with privacy and Personally Identifiable Information (PII), data quality and accuracy, data transmission reliability, pricing, packaging, marketing, sales, support, etc. Companies such as Nielsen, Experian and Acxiom are experts at selling data because that’s their business; they have built a business around gathering, aggregating, cleansing, aligning, ...
Multiple data types are pouring into IoT deployments. Data is coming in small packages as well as enormous files and data streams of many sizes. Widespread use of mobile devices adds to the total. In this power panel at @ThingsExpo, moderated by Conference Chair Roger Strukhoff, panelists looked at the tools and environments that are being put to use in IoT deployments, as well as the team skills a modern enterprise IT shop needs to keep things running, get a handle on all this data, and deliver the analytics that add value.
The size of competitors and the longevity of their brands, are less predictive of future success than the quality and speed of their information logistics systems, and their ability to use it as a competitive advantage. More data is being generated today than ever before, and successful companies are investing in business analytics and big data solutions to mine competitive advantages. There is a new sense of urgency today as businesses realize data has a shelf life, and the value of it diminishes rapidly over time. In an always-connected world where consumers and their needs are transient, ...
What's disruptive innovation, and why does it matter to leaders in the C-suite? It's how the savvy non-conformist will target market opportunities. How does this happen, when established companies seem to have the advantage? Creative software developers can quickly apply new technologies and digital business models to capture untapped demand.

Moreover, the most disruptive new companies will eventually reshape entire industries, swiftly pushing aside the legacy incumbent players -- it's a form of Digital Darwinism. The global networked economy will blossom, thanks to the pervasive In...
Machine Learning needs tons of data. But what are you going to do when the data only exist in the heads of your employees? Machine Learning, Deep Learning, Cognitive Computing, Robotic Process Automation (RPA), Natural Language Processing (NLP), Machine Perception, Predictive APIs, Image Recognition, Speech Recognition, Virtual Agent, Intelligent Assistant, Personal Advisor, Chatbot, Semantic Search. Did I miss anything? I am sure I did. However, I guess I provide a good list for your next round of Artificial Intelligence (AI) bullshit bingo. Oh, one last thing - Machine Reasoning! If you've ...
In the decade following his article, cloud computing further cemented Carr’s perspective. Compute, storage, and network resources have become simple utilities, available at the proverbial turn of the faucet. The value they provide is immense, but the cloud playing field is amazingly level. Carr’s quote above presaged the cloud to a T. Today, however, we’re in the digital era. Mark Andreesen’s ‘software is eating the world’ prognostication is coming to pass, as enterprises realize they must become software companies to remain competitive. The value IT brings to such companies is unquestiona...
Companies have always been concerned that traditional enterprise software is slow and complex to install, often disrupting critical and time-sensitive operations during roll-out. With the growing need to integrate new digital technologies into the enterprise to transform business processes, this concern has become even more pressing. A 2016 Panorama Consulting Solutions study revealed that enterprise resource planning (ERP) projects took an average of 21 months to install, with 57 percent of these projects experiencing timeline overruns. A span of almost two years can be a long time when disr...
IoT solutions exploit operational data generated by Internet-connected smart “things” for the purpose of gaining operational insight and producing “better outcomes” (for example, create new business models, eliminate unscheduled maintenance, etc.). The explosive proliferation of IoT solutions will result in an exponential growth in the volume of IoT data, precipitating significant Information Governance issues: who owns the IoT data, what are the rights/duties of IoT solutions adopters towards this data, how to deal with Data Residency and Data Privacy issues, how to manage the lifecycle of Io...
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 examined how DevOps helps to meet the demands of Digital Transformation – including accelerating application delivery, closing feedback loop...