What’s Driving Big Data in the Enterprise – and Why Now?

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In an attempt to put the patient first in healthcare, Congress and President Obama in 2015 approved a bipartisan bill for United States healthcare reform. The bill is known as “Medicare Access and CHIP Reauthorization Act of 2015,” or MACRA. Among the major provisions of MACRA is the Quality Payment Program. Under the Quality Payment Program, physicians and nurses receive positive, neutral or negative Medicare payment adjustments based upon a “Patient Satisfaction Score,” that is, patient satisfaction scores have a direct impact on how physicians, physician assistants, nurses, and hospital’s get paid by Medicare. Managing the broader healthcare goal of “Improving the Quality and Effectiveness of Patient Care” from a single, highly generalized measure is a major concern for physicians and hospitals. These “patient satisfaction scores” can drive unintended patient tr... (more)

[slides] Machine Learning Intro for Anyone and Everyone | @CloudExpo @BigDataTrunk #ML #AI #Cloud

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Machine Learning Intro for Anyone and Everyone In his session at 21st Cloud Expo, Raju Shreewastava, founder of Big Data Trunk, provided a fun and simple way to introduce Machine Leaning to anyone and everyone. Download Slide Deck: ▸ Here He solved a machine learning problem and demonstrated an easy way to be able to do machine learning without even coding. Download Slide Deck: ▸ Here Speaker Bio Raju Shreewastava is the founder of Big Data Trunk (www.BigDataTrunk.com), a Big Data Training and consulting firm with offices in the United States. He previously led the data warehouse/business intelligence and Big Data teams at Autodesk. He is a contributing author of book on Azure and Big Data published by SAMS. CloudExpo | DXWorldEXPO have announced the conference tracks for Cloud Expo 2018, introducing DXWo... (more)

Improving Operational Efficiency in Healthcare | @CloudExpo #API #Cloud #Analytics

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 v... (more)

Accelerating IoT Deployments to Achieve Business Goals Faster | @ThingsExpo #IoT #M2M #API

Accelerating IoT Deployments to Achieve Business Goals Faster The "Internet of Things" is an exciting area of tech, one in which industry experts estimate there will be more than 30 billion connected IoT devices by 2020. IoT is the inter-networking and instrumentation of physical devices - everything from streets, cars, factories, power grids, ice caps, satellites, and clothing to phones, microwaves, milk containers, planets, human bodies, etc. IoT creates an opportunity to measure, collect and analyze an ever-increasing variety of behavioral statistics. That being said, data, and more importantly insight into the data, is key for enhanced business value and achieving goals quickly. The proliferation of IoT devices and the sheer volume of large data streams have changed the data processing characteristics that we were accustomed to, forcing new architectures and inf... (more)

[slides] Technical Strategy for IIoT | @ThingsExpo #IoT #IIoT #M2M #AI #DX

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here Technical Strategy for Industrial IoT, with Real-World Use Cases No hype cycles or predictions of a gazillion things here. IoT is here. You get it. You know your business and have great ideas for a business transformation strategy. What comes next? Time to make it happen. Download Slide Deck: ▸ Here In his session at @ThingsExpo, Jay Mason, an Associate Partner of Analytics, IoT & Cybersecurity at M&S Consulting, presented a step-by-step plan to develop your technology implementation strategy. He also discussed the evaluation of communication standards and IoT messaging protocols, data analytics considerations, edge-to-cloud technical architecture, IoT platform selection, end-to-end security, enterprise systems integration and monetization techniques. Seize market opportunities by following this methodology ... (more)

Is a #BigData Conference Like Going to the Dentist? | @CloudExpo #BI #IoT #SmartCities

I recently visited my dentist and found the experience, well, less than satisfactory. I was subjected to 45 minutes of lecturing while strapped into the dentist chair: “You don’t brush enough times a day. You don’t brush long enough. You don’t brush correctly. You aren’t using the right type of toothbrush. You aren’t replacing the brush head soon enough. You aren’t flossing enough. You aren’t flossing correctly. You aren’t using the right type of floss.” Good lord! It’s any wonder that my teeth aren’t just falling out of my head!! No one likes being lectured. It’s not constructive and after a while, you just turn it off.  That’s probably similar to the feeling of going to these Big Data conferences – constantly being told what you aren’t doing right. And maybe I’m guilty of doing that as well. If I am, then I’m sorry because from an audience perspective, it sucks... (more)

[slides] #IoT for #DigitalTransformation | @ThingsExpo #SmartCities #IIoT #DX

Download Slide Deck: ▸ Here Download Slide Deck: ▸ Here The ‘Known Unknown' of Big Data in IoT: How Big Will Your Data Grow and By When? IoT is at the core or many Digital Transformation initiatives with the goal of re-inventing a company's business model. We all agree that collecting relevant IoT data will result in massive amounts of data needing to be stored. However, with the rapid development of IoT devices and ongoing business model transformation, we are not able to predict the volume and growth of IoT data. And with the lack of IoT history, traditional methods of IT and infrastructure planning based on the past do not apply either. Download Slide Deck: ▸ Here In his session at @ThingsExpo, Swen Conrad, CEO of Ocean9, Inc., discussed key cloud concepts and how they enable your successful IoT initiative providing flexibility and elasticity to your IT infra... (more)

Beginning the Cloud Governance Journey: Cloud Cost Management | @CloudExpo #API #Cloud #Analytics

Gaining visibility in today's sprawling cloud infrastructure is complex and laborious, involving drilling down into tools offered by various cloud services providers. Enterprise IT organizations need smarter and effective tools at their disposal in order to address this pertinent problem. Gaining a 360 - degree view of the cloud costs requires collection and analysis of the cost data across all cloud infrastructures used inside an enterprise. Almost universally, businesses know they need to practice cloud cost management, improve business agility, and maintain security and compliance, but they do not know how to get started. They are looking for a "playbook" that they can get handle on cloud services management of the growing (and often sprawling) cloud services. Start with Cloud Cost Management Our experience indicates that companies who start with a focus on managin... (more)

The Three Phases of Digital Transformation | @ExpoDX #DX #AI #BigData #Analytics

The research firm Technology Business Research (TBR) recently came out with a report titled, “Winning The Business Of Digital Transformation Services Requires A Process-Led Approach” authored by Sebastian Lagana and Jennifer Hamel. The report is full of good nuggets, but I especially liked the way that they categorized the 3 phases of Digital Transformation: Substitution represents basic IT modernization; such as leveraging new consumption models (e.g., cloud, “as a Service”) to directly replace functions and costs that already exist in an enterprise. Shifting from on-premises to cloud can generate tangible cost savings for an organization; however, it does not have a large impact on how an organization goes to market, better serves their customers or optimizes their key business processes. Extension is where disruptive technologies (e.g., data science, artificial ... (more)

Sponsorship Opportunities @CloudExpo and @ExpoDX | #IoT #SmartCities #DigitalTransformation

22nd International Cloud Expo, taking place June 5-7, 2018, at the Javits Center in New York City, NY, is co-located with the 1st DXWorld Expo and 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. Meanwhile, 94% of enterprises are using some form of XaaS - software, platform, and infrastructure as a service. Digital transformation is changing the face of business. The IDC predicts that enterprises will commit to a massive new scale of digital transformation, to stake out leadership positions in the "digital transformation economy." Cloud Expo | DXWorldEX... (more)

[session] Making #IoT Smart | @ThingsExpo @GreenwaveSys #AI #SmartCities

Dumb IoT Isn't Cool. Making IoT Smart at the Edge Because IoT devices are deployed in mission-critical environments more than ever before, it's increasingly imperative they be truly smart. IoT sensors simply stockpiling data isn't useful. IoT must be artificially and naturally intelligent in order to provide more value In his session at @ThingsExpo, John Crupi, Vice President and Engineering System Architect at Greenwave Systems, will discuss how IoT artificial intelligence (AI) can be carried out via edge analytics and machine learning technologies that enable things to process event data at the source, learn patterns of behavior over time for taking independent action, and deliver more accurate results in real-time. This opens the door to limitless possibilities, enabling businesses to make better decisions with far less effort. Speaker Bio John Crupi is Vice Pr... (more)