Home
Schedule
Conference Info
Sponsorship Information
IBM Watson AI Day
Registration
Press Registration
Speakers
Sessions
Sponsors
Exhibitors
JETRO × Six Prefectures of Japan Pavilion Exhibitors
Media Sponsors
  Topics
  Call For Papers
  Hotel Info
  Past Events
Untitled Document
2017 West
Premium Sponsors
Diamond



Platinum
@DevOpsSummit

Bronze










Untitled Document
2017 West
Keynote Sponsor


Untitled Document
2017 West Exhibitors
























@ThingsExpo











Untitled Document
2017 West JETRO ×
Six Prefectures
of Japan
Pavilion Exhibitors



















Untitled Document
2017 West Media Sponsors














Untitled Document
2017 East
Premium Sponsors
Diamond



Platinum
@DevOpsSummit

@DevOpsSummit

Silver
@DevOpsSummit


Bronze










Untitled Document
2017 East Exhibitors
@DevOpsSummit




































Untitled Document
2017 East Media Sponsors
















Untitled Document
2016 West
Premium Sponsors
Platinum Plus



Silver
@ThingsExpo

Bronze







Untitled Document
2016 Welcome Reception Sponsor

Untitled Document
2016 West Exhibitors










@DevOps Summit






@DevOps Summit

@WebRTC Summit












@WebRTC Summit









@DevOps Summit

Untitled Document
2016 West Media Sponsors











Untitled Document
2016 East Gold Sponsors

@ThingsExpo

Untitled Document
2016 East Silver Sponsors


@DevOps Summit

Untitled Document
2016 East Bronze Sponsors

Cloud Expo







Cloud Expo

Untitled Document
2016 East Vendor Presentation Sponsors

@DevOps Summit

Untitled Document
2016 East Exhibitors

@DevOps Summit





@ThingsExpo



@DevOps Summit

@ThingsExpo


@DevOps Summit









@DevOps Summit







@DevOps Summit










Untitled Document
2016 East Media Sponsors










Untitled Document
2015 West Gold Sponsor

Untitled Document
2015 West Silver Sponsor


Untitled Document
2015 West Bronze Sponsors

Cloud Expo |@ThingsExpo

Cloud Expo | DevOps Summit


@ThingsExpo





@DevOps Summit

@ThingsExpo


@ThingsExpo

Untitled Document
2015 West Exhibitors












@DevOps Summit





@DevOps Summit












@DevOps Summit

@DevOps Summit




@ThingsExpo


@DevOps Summit


Untitled Document
2015 West Session Sponsor

Untitled Document
2015 West E-Bulletin Sponsor

DevOps Summit

Untitled Document
2015 West
Association Sponsors

Untitled Document
2015 West
Media Sponsor

Untitled Document
2015 East Gold Sponsor


WebRTC Summit

DevOps Summit

Untitled Document
2015 East Silver Sponsor

DevOps Summit

WebRTC Summit


Untitled Document
2015 East Bronze Sponsor

DevOps Summit

Cloud Expo | DevOps Summit
@ThingsExpo

DevOps Summit

DevOps Summit

Untitled Document
2015 East Delegate Bag Sponsor


Untitled Document
2015 East Exhibitors


DevOps Summit


@ThingsExpo



DevOps Summit







Cloud Expo | @ThingsExpo

@ThingsExpo
@ThingsExpo
DevOps Summit

DevOps Summit
@ThingsExpo
DevOps Summit
DevOps Summit
DevOps Summit
DevOps Summit
DevOps Summit



@ThingsExpo

Untitled Document
2015 East
Media Sponsor

Using Predictive Analytics to Avoid Hospital Layoffs | @BigDataExpo #ML #BigData #Analytics
How predictive analytics is optimizing patient pathways within hospitals

Sanjeev Agrawal 150x150 Using Predictive Analytics to Avoid Hospital Layoffs

Using Predictive Analytics to Avoid Hospital Layoffs
By Sanjeev Agrawal, President and Chief Marketing Officer, LeanTaaS iQueue

It seems as if news about another hospital laying off workers - or worse, closing - hits the news every day; at last count, 21 hospitals stopped treating patients in 2016. Hospitals and healthcare systems across the country, including some of the largest, laid off thousands of employees. In November 2016 alone, 13 providers eliminated more than 1,000 jobs.

In September, HCCA's Vice President of Marketing Kathleen Johnson said, "The actions taken recently are in accordance with our planned and ongoing strategic realignment of the hospital's operations. We continue to streamline operations, improve efficiencies and healthcare delivery to our community."

In October, UC Irvine Health spokesman John Murray said, "The layoffs are part of a multipronged approach to improving the health of the system. Before considering the layoffs, we looked for opportunities to reduce expenses as well as maximize potential revenue."

What's Going On?
Steep operating losses and severe budget shortfalls, forced by a rapidly changing landscape toward value-based reimbursements, are causing hospitals to consolidate operations as much as they can: merging operations, closing labs, reducing workers and finding every possible way to lower costs without affecting quality of care - all while continuing to meet the spiraling demand on the clinical side.

As the industry shifts to value-based care, hospitals and healthcare systems face increasing pressure to reduce their cost structures - a difficult challenge  - without affecting quality of care. For many, consolidation is the next step in the progression. But after the merger is completed and redundancies eliminated, the big question is "How do we make the most out of all these resources?"

Simply put, hospitals are under constant pressure to do more with less - in many cases, much more with much less. Every day, they face an operational paradox; scarce resources are both overbooked and underutilized within the same day. This leads to several undesirable outcomes: millions of dollars of unnecessary operational costs, long patient wait times, overworked staff and an insatiable appetite for expanding existing facilities or constructing entirely new ones.

Data to the Rescue
Electronic health records (EHRs), fueled by government regulations and incentives, are opening opportunities for operational efficiencies. In the past decade, hospitals have invested hundreds of millions of dollars in EHRs, business intelligence and Lean/Six Sigma initiatives. Now, CIOs are asking "How can we leverage all this data to reduce costs?"

In a CIO survey conducted earlier this year, IT optimization ranked as one of the top 10 areas of focus. "Call it performance, call it tech-based enabled improvement, call it optimization. Call it whatever the buzzword is, but [we're] trying to get more capability out of the investment we've made in the past few years in EHRs," said Todd Hollowell, COO of Impact Advisors.

EHRs capture every bit of information related to a patient: historical conditions, medications, treatments, everything. The goal is to give that information to whoever needs it, whenever they need it. An obvious use case is to give everyone, from physicians to pharmacists, a valuable "situational awareness" that avoids obvious waste such as duplicate lab tests, unnecessary lab orders, etc. But that's just the beginning. If you look at the enormous amount of data stored per patient (more than two terabytes), it is possible to build sophisticated interconnected systems that can provide much better situational awareness to everyone involved in the core patient pathways. One of the core ways to reduce costs is to maximize resource utilization and route care providers to the right place at the right time to reduce the length of stay and improve overall efficiency. Predictive analytics provides a scalable way to accomplish this.

Predictive Analytics Is the Answer
Historically, process improvement efforts in hospitals worked with small, historical snapshots of data from which the core operational issues were identified. From this, strategies were developed, implementation plans executed and the disciplines for continuous improvement were established. This was the best approach when all that was available was rear-view mirror data snapshots and Excel as the analytic engine of choice. Now, with the explosion of smart devices, computational power in the cloud, and the growing pervasiveness of data science and machine learning algorithms, an entirely different realm of operational optimization is suddenly possible.

Consider the following scenarios on how predictive analytics is already optimizing patient pathways within hospitals:

- Optimizing access to treatments such as chemotherapy: By looking at historical demand patterns and operational constraints, sophisticated forecasting algorithms can predict the daily volume and mix of patients and orchestrate appointment slots such that there are no "gaps" between treatments. This radically improves chair utilization, reduces patient wait times and decreases the overall cost of operations. Doing this without sophisticated data science is hard; for example, just arranging the order in which 70 patients can be slotted for their treatments in a 35-chair infusion center is a number exceeding 10^100. Trying to solve this problem with pen, paper or Excel is a pointless exercise.

- Operating rooms are key resources within the hospital: Study after study shows that OR utilization at most large hospitals is at best 50-60 percent. In most hospitals, operating rooms are allocated to surgeons using "blocks" - for simplicity, the blocks are often either half-day or full-day. Even the most prolific and productive surgeons often don't fully utilize the blocks they are given, and the process for reallocating blocks on a monthly basis or even for last-minute block swaps is cumbersome and manual. Using data science and machine learning, hospitals can monitor utilization, identify pockets for improvement, automatically reallocate underutilized blocks and improve overall operating room utilization. A 3-5 percent improvement in block utilization is worth $2 million per year for a surgical suite with just four operating rooms.

- Optimizing in-patient bed capacity utilization: In-patient bed capacity is a constraining bottleneck in most hospitals, yet virtually every hospital solves this problem with an arithmetic-based "huddle" approach that reviews the patient census from the overnight stay in each unit, adds known incoming patients, subtracts known discharges and then decides if the unit is flirting with the limits of its available capacity. This cycle repeats itself, often several times per day, with a planning horizon of the day at hand. On the other hand, Google completes the search bar while we are typing because it has analyzed millions of search terms similar to the one you are entering and automatically presents the four or five highest probability queries that you intend to submit. Imagine looking at each overnight patient, finding the 1,000 prior patients over the last two years who entered the hospital with a similar diagnostic or procedure code and reviewing their "flight path" through the hospital (i.e., number of days spent in each of the units prior to discharge); then, an aggregate probabilistic assessment of the likely occupancy of each unit could be developed. Not only would it provide a better answer for today, it would also help anticipate the evolving unit capacity situation over the next 5-7 days, leading to smarter operational decisions on transfers, elective surgery rescheduling, etc.

A similar machine learning approach can help orchestrate patient flows at clinics, labs, pharmacies and any unit within the hospital network that struggles with the operational paradox of being overbooked and underutilized at the same time.

Hospitals are starting to see gains from predictive analytics, especially on the operational side. OR block scheduling is an area where the ROI can be significant. UCHealth, the largest healthcare network in Colorado, deployed a mobile block swap system that lets surgeons request and release blocks via their smartphone. The system uses predictive analytics to identify blocks that can be swapped. Within three months of deployment, the network saw a 16 percent increase in utilization of the swapped blocks compared to average blocks. A "Smart Performance Tracker" continuously monitors OR utilization and produces actionable insights to make data-driven decisions about from whom to take block time away and to whom to give it, and a Smart Staffing module creates optimized monthly/quarterly OR staffing plans.

NewYork-Presbyterian's NCI-designated cancer center deployed predictive analytics to shape patient demand. The system uses data science to mine historical appointment data, understand traffic patterns and "level load" patients throughout the day, leading to an astounding 55 percent lower wait times at peak hours, 40 percent lower wait times overall and 17 percent higher patient volumes. Several other hospitals, including Stanford Health Care, Wake Forest, UCSF and more have seen significant gains with predictive analytics for infusion scheduling.

It's clear the challenges of 2016 will continue throughout 2017 and beyond. The role data, predictive analytics and machine learning can play in transforming how providers do more with less is equally clear.

###

Sanjeev Agrawal is president and chief marketing officer of LeanTaaS iQueue. Sanjeev was Google's first head of product marketing. Since then, he has had leadership roles at three successful startups: CEO of Aloqa, a mobile push platform (acquired by Motorola); VP Product and Marketing at Tellme Networks (acquired by Microsoft); and as the founding CEO of Collegefeed (acquired by AfterCollege). Sanjeev graduated Phi Beta Kappa with an EECS degree from MIT and along the way spent time at McKinsey & Co. and Cisco Systems. He is an avid squash player and has been named by Beckers Hospital Review as one of the top entrepreneurs innovating in Healthcare.

About LeanTaaS Blog
LeanTaaS is a Silicon Valley software company whose offerings rely on advanced data science to significantly improve the operational performance of hospitals and clinics. Using LeanTaaS iQueue in conjunction with their existing EHR's, healthcare institutions are developing optimized schedules that are tailored to each site and can rapidly reduce patient wait times and operating costs while increasing patient access and satisfaction, care provider satisfaction, and asset utilization.

Presentation Slides
Traditional on-premises data centers have long been the domain of modern data platforms like Apache Hadoop, meaning companies who build thei...
Using new techniques of information modeling, indexing, and processing, new cloud-based systems can support cloud-based workloads previously...
CloudEXPO Stories
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed by some of the world's largest financial institutions. The company develops and applies innovative machine-learning technologies to big data to predict financial, economic, and world events. The team is a group of passionate technologists, mathematicians, data scientists and programmers in Silicon Valley with over 100 patents to their names. Big Data Federation was incorporated in 2015 and is ...
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to business. Some of these people have never used a monitoring tool before. They have a question on their mind like "How is my application doing" but no idea how to get a proper answer.
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by researching target group and involving users in the designing process.
CloudEXPO New York 2018, colocated with DevOpsSUMMIT and DXWorldEXPO New York 2018 will be held November 12-13, 2018, in New York City and will bring together Cloud Computing, FinTech and Blockchain, Digital Transformation, Big Data, Internet of Things, DevOps, AI and Machine Learning to one location.
Whenever a new technology hits the high points of hype, everyone starts talking about it like it will solve all their business problems. Blockchain is one of those technologies. According to Gartner's latest report on the hype cycle of emerging technologies, blockchain has just passed the peak of their hype cycle curve. If you read the news articles about it, one would think it has taken over the technology world. No disruptive technology is without its challenges and potential impediments that frequently get lost in the hype. The panel will discuss their perspective on what they see as they key challenges and/or impediments to adoption, and how they see those issues could be resolved or mitigated.

Register and Save!
Save $405
on your “Golden Pass”!
before October 30, 2017!
Call 201.802.3020


Santa Clara Call For Papers Open
Submit
submit your speaking proposal
for the upcoming Big Data at Cloud Expo in
Santa Clara!
[Oct 31 - Nov 2, 2017]


Big Data 2017 West
Sponsorship Opportunities
Please Call
201.802.3021
events (at) sys-con.com
Sponsorship opportunities are now open for Big Data at Cloud Expo 2017 Santa Clara, Oct 31-Nov 2, 2017, at the Santa Clara Convention Center in Santa Clara, CA, and Big Data at Cloud Expo 2018 New York, June 5-7, 2018, at the Javits Center in New York, NY. For sponsorship, exhibit opportunities and show prospectus, please contact Carmen Gonzalez, carmen (at) sys-con.com.



Big Data Expo Silicon Valley All-Star Speakers Include

MATTHIEU
Octoblu

MAHADEV
Cisco

MCCARTHY
Bsquare

FELICIANO
AMDG

PAUL
VenueNext

SMITH
Eviot

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

WARD
DWE

MILLER
Covisint

EVAVOLD
Covisint

MEINER
Oracle

MEEHAN
Esri

WITECK
Citrix

LIANG
Rancher Labs

BUTLER
Tego

ROWE
IBM Cloud

SKILLERN
Intel

SMITH
Numerex
Big Data Expo 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

Big Data Expo 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.

Download Cloud Expo Show Guide
Cloud Expo Show Guide
Download PDF

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.

Digital Transformation Blogs
Dynatrace is an application performance management software company with products for the information technology departments and digital business owners of medium and large businesses. Building the Future of Monitoring with Artificial Intelligence. Today we can collect lots and lots of performance data. We build beautiful dashboards and even have fancy query languages to access and transform the data. Still performance data is a secret language only a couple of people understand. The more business becomes digital the more stakeholders are interested in this data including how it relates to bus...
DXWorldEXPO LLC announced today that Big Data Federation to Exhibit at the 22nd International CloudEXPO, colocated with DevOpsSUMMIT and DXWorldEXPO, November 12-13, 2018 in New York City. Big Data Federation, Inc. develops and applies artificial intelligence to predict financial and economic events that matter. The company uncovers patterns and precise drivers of performance and outcomes with the aid of machine-learning algorithms, big data, and fundamental analysis. Their products are deployed by some of the world's largest financial institutions. The company develops and applies innovative ...
All in Mobile is a place where we continually maximize their impact by fostering understanding, empathy, insights, creativity and joy. They believe that a truly useful and desirable mobile app doesn't need the brightest idea or the most advanced technology. A great product begins with understanding people. It's easy to think that customers will love your app, but can you justify it? They make sure your final app is something that users truly want and need. The only way to do this is by researching target group and involving users in the designing process.