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  Think Big – Now Think Even Bigger
  Join Us at Internet of Things at Cloud Expo, November 11-13,
at the Javits Center!


The Internet of Things (IoT) is the most profound change in personal and enterprise IT since the creation of the Worldwide Web more than 20 years ago.

All major researchers estimate there will be tens of billions devices - computers, smartphones, tablets, and sensors - connected to the Internet by 2020. This number will continue to grow at a rapid pace for the next several decades.

With major technology companies and startups seriously embracing IoT strategies, now is the perfect time to attend Internet of Things at Cloud Expo in New York City. Learn what is going on, contribute to the discussions, and ensure that your enterprise is as "IoT-Ready" as it can be!

Delegates to Internet of Things at Cloud Expo will be able to attend eight separate, information-packed tracks:

  • Enterprise Cloud
  • Digital Transformation
  • The API Enterprise | Mobility & Security
  • DevOps | Containers & Microservices
  • Cognitive Computing | AI, ML, DL
  • Big Data | Analytics
  • IoT | IIoT | Smart Cities
  • Hot Topics | FinTech | WebRTC

There are 120 breakout sessions in all, with Keynotes, General Sessions, and Power Panels adding to three days of incredibly rich presentations and content.


We'll see you in New York!



Day 3 Keynote at @ThingsExpo | Chris Matthieu, CTO of Octoblu
In his keynote at @ThingsExpo, Chris Matthieu, Director of IoT Engineering at Citrix and co-founder and CTO of Octoblu, focused on building an IoT platform and company. He provided a behind-the-scenes look at Octoblu's platform, business, and pivots along the way (including the Citrix acquisition of Octoblu).
  Themes & Topics to Be Discussed

Consumer IoT
• Wearables
• Smart Appliances
• Smart Cars
• Smartphones 2.0
• Automation
• Smart Travel
• Personal Fitness
• Health Care
• Personalized Marketing
• Customized Shopping
• Personal Finance
• The Digital Divide
• Mobile Cash & Markets
• Games & The IoT
• The Future of Education
• Virtual Reality

Enterprise IoT
• The Business Case for
x IoT
• Smart Grids
• Smart Cities
• Smart Transportation
• The Smart Home
• M2M
• Authentication/Security
• Wiring the IoT
• The Internet of
x Everything
• Digital Transformation
x of Enterprise IT
• Agriculture
• Transportation
• Manufacturing
• Local & State
x Government
• Federal Government

IoT Developers | WebRTC Summit
• Eclipse Foundation
• Cloud Foundry
• Linux Containers
• Node-Red
• Open Source Hardware
• Ajax and the IoT
• Leveraging SOA
• Multi-Cloud IoT
• Evolving Standards
• WebSockets
• Security & Privacy
x Protocols
• GPS & Proximity
x Services
• Bluetooth/RFID/etc
• XMPP
• Nest Labs



The Top Keynotes, the Best Sessions, a Rock Star Faculty and the Most Qualified Delegates of ANY Internet of Things Event!


The future of computing lies in these things. As computing takes a much more active role in our lives it will at the same time become much more invisible. Internet of Things Expo will address the challenges in getting from where we are today to this future.
 
The high-energy event is a must-attend for senior technologists from CEOs on down – including CIOs, CTOs, directors of infrastructure, VPs of technology, IT directors and managers, network and storage managers, network engineers, enterprise architects, and communications and networking specialists.




@ThingsExpo Power Panel | The World's Many IoTs: Which Are the Most Important?
The Internet of Things is clearly many things: data collection and analytics, wearables, Smart Grids and Smart Cities, the Industrial Internet, and more. Cool platforms like Arduino, Raspberry Pi, Intel's Galileo and Edison, and a diverse world of sensors are making the IoT a great toy box for developers in all these areas. In this Power Panel at @ThingsExpo, panelists discussed what things are the most important, which will have the most profound effect on the world, and what should we expect to see over the next couple of years.
Benefits of Attending the Three-Day Technical Program
  LEARNexactly why Internet of Things is relevant today from an economic, business and technology standpoint.
  HEAR first-hand from industry experts the common issues and requirements for creating a platform for the Internet of Things.
  SEE what new tools and approaches the Internet of Things requires.
  DISCOVER how to drive a distributed approach to the Internet of Things, where applications move to the data.
  FIND OUThow the vast volumes of new data produced by the Internet of Things provides a valuable new source of business insight through advanced analytical techniques.
  MASTER how the ongoing development of smart cities, cars, and houses will enhance connectivity infrastructure.
Lunch Power Panel | Microservices & IoT- Moderated by Jason Bloomberg
In this Power Panel at @DevOpsSummit, moderated by Jason Bloomberg, president of Intellyx, panelists Roberto Medrano, Executive Vice President at Akana; Lori MacVittie, Evangelist for F5 Networks; and Troy Topnik, ActiveState's Technical Product Manager; and Otis Gospodnetic, founder of Sematext; peeled away the buzz and discuss the important architectural principles behind implementing IoT solutions for the enterprise. As remote IoT devices and sensors become increasingly intelligent, they become part of our distributed cloud environment, and we must architect and code accordingly. At the very least, you'll have no problem filling in your buzzword bingo cards.


Improving Operational Efficiency in Healthcare | @CloudExpo #API #Cloud #Analytics
Combining lean thinking with predictive analytics and advanced optimization algorithms to drive improvements

Improving Operational Efficiency in Healthcare
By Mohan Giridharadas, Founder and CEO, LeanTaaS

The notion of improving operational efficiency is conspicuously absent from the healthcare debate - neither Obamacare nor the newly proposed GOP plan discusses the impact that a step-function improvement in efficiency could have on access to healthcare (through more capacity), quality of healthcare services (through reduced wait times for patients) or cost (through better utilization of scarce, expensive assets).

The opportunity of improving operational efficiency in health systems is plainly visible - a quick walk around any hospital or clinic will show the obvious symptoms: waiting rooms filled with people while the very piece of equipment for which they are waiting remains idle and patients spending 90 minutes or more to obtain a quick consultation or a check of their vital signs which collectively requires less than 10 minutes for a provider and/or their assistant to complete.

The traditional approaches of process improvement - using lean, Six Sigma or some other methodology - have run their course and, in most cases, only deliver modest improvement when considering the enormous resource burden they place on the organization and the months it takes for the impact to be tangible. We are at a pivotal point in time; the convergence of multiple enabling technologies makes it possible for us to drive a step-change improvement in operational efficiency that far exceeds anything that we could have imagined to be possible even a few short years ago. Specifically, this includes the massive digitization of patient data; the internet of things providing real-time data on the movements of patients, providers or assets; the emergence of machine learning and artificial intelligence; the democratization of predictive analytics from the ivory towers of academic institutions to organizations everywhere; the growth of massively scalable, secure cloud infrastructure; the ubiquity of smartphones and mobile apps; and the list goes on. We have seen this phenomenon in other contexts; Uber, Snapchat, Instagram and many other "unicorns" could not have existed had the smartphone not become prevalent.

Combining lean thinking with predictive analytics, machine learning, and advanced optimization algorithms and embedding it into scalable software products can drive dramatic improvements in the operational efficiencies of individual units in a hospital. Hospitals are a complex interconnected network of individual units - labs, imagining departments, pharmacies, infusion centers, operating rooms, etc. - each of which provides a specific service. In any interconnected network of units, it is much more effective to optimize the individual units before seeking to optimize the interconnections. Hence, UPS and FedEx will optimize their sorting hubs and warehouses as much as possible before worrying about their drivers driving faster.

This approach has yielded tremendous results. For example:

  • At ~60 infusion centers across the country, patient wait times during peak hours have been reduced by 30-55 percent and the effective capacity of the centers increased by 15-20 percent as a result of using models that can accurately predict the volume and mix of infusion treatments tailored to each infusion center for each day of the week. These centers have incorporated center-specific parameters (capacity, staff, etc.) into an optimization algorithm that created tailored appointment templates for each hour of each day of the week that consistently deliver against the core lean principle of "heijunka" - or level loading - which reduces the wait time for patients while balancing the workload for nurses.
  • Approximately 100 operating rooms and ~200 surgeons have been able to improve block and room utilization by 5-7 percentage points by predicting the need for block time for individual surgeons and service lines. Having accurately estimated the demand for block time, algorithms then identify the right supply of blocks by uncovering patterns of underutilized, abandoned or late-release blocks to give each surgeon and service line the right number of blocks of the right length on the right day of the week. Other artificial intelligence algorithms then automatically generate recommendations that encourage surgeons to release blocks that are not likely to be well utilized and even facilitate the "swap" with another surgeon using an OpenTable-like mobile application for block swaps. Blocks swapped in this way performed 12-15 percent better than blocks swapped using the conventional methods of schedulers sending out a flurry of phone calls, emails, faxes and voicemails to assign a newly available block to a surgeon or service line.
  • Predictive models from iQueue Labs have enabled the Emory Winship Cancer Institute to reduce the wait time in the lab from approximately one hour at peak times to less than 15 minutes at peak times. Emory has found that accurately predicting the volume and mix of patients (blood draw versus central line patients) at 15-minute increments for each day of the week makes it possible to correctly staff the number of phlebotomists and LPNs in order to virtually eliminate the wait time for patients. The result is not only a reduction in wait times in the lab; the improvement has also positively affected "downstream" services such as infusion treatments.

These are just three examples. Hospitals have many other opportunities for solving operational challenges that plague them on a daily basis. Other examples include both "supply side" problems (e.g., critical assets such as CT/MRI scanners, blood testing equipment, personnel, etc.) where asset utilization and/or availability are challenges as well as "demand side" problems (e.g., labs, clinics, etc.) where accommodating walk-in or scheduled appointments in a timely manner is a challenge.

A well-functioning air traffic control capability, along with an effective airport operations function, has been able to unlock an enormous capacity for flights out of major airports. For example, Atlanta airport in the mid-1980s only had a few hundred flights per day. Today, they have several thousand flights per day. This was accomplished without a change in the airspace around Atlanta and only a modest increase in the number of runways (from four to five) over this time period. Like health systems, they too have a very stringent requirement on safety - 99.9999 percent safety is simply not good enough since it would imply that society would accept a crash every few days in the United States.

A focus on using sophisticated "lean plus data science plus machine learning plus optimization plus scalable software" to unlock capacity and improve the throughput of the individual units within the hospital will ultimately create an operational "air traffic control" for hospitals - a centralized command and control capability that is truly predictive, learns continuously and uses advanced optimization algorithms and artificial intelligence to deliver prescriptive recommendations throughout the hospital system.

###

Mohan Giridharadas is an accomplished expert in lean methodologies. During his 18-year career at McKinsey & Company (where he was a senior partner/director for six years), he co-created the lean service operations practice and ran the North American lean manufacturing and service operations practices and the Asia-Pacific operations practice. He has helped numerous Fortune 500 companies drive operational efficiency with lean practices.

As the founder and CEO of LeanTaaS (a lean and predictive analytics company), Mohan has worked closely with dozens of leading healthcare institutions including Stanford Health Care, UCHealth, UCSF, Wake Forest and more. He holds a B.Tech from IIT Bombay, MS in Computer Science from Georgia Institute of Technology and an MBA from Stanford GSB. He is on the faculty of Continuing Education at Stanford University and UC Berkeley Haas School of Business and has been named by Becker's Hospital Review as one of the top entrepreneurs innovating in healthcare. For more information on LeanTaaS iQueue, please visit https://iqueue.com/ and follow the company on Twitter @LeanTaaS, Facebook at https://www.facebook.com/LeanTaaS and LinkedIn at https://www.linkedin.com/company/leantaas.

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.

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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
 
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."
@Cnnct2me
 
One of the best conferences we have attended in a while. Great job, Cloud Expo team! Keep it going."

@Flexential


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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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To get involved, email events@sys-con.com.

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