Month: February 2021

first_imgOne of the best parts of my job is engaging with customers and partners from around the globe.  Regardless of location, customer size or the maturity of their IT and business operations, a common theme has emerged.  Almost every conversation leads to cloud computing.  Specifically, organizations struggle with the strategy and implementation of fully functional cloud environments.There are many operating models: private, public, hybrid.  Where do we begin?  How do we automate and orchestrate?  What workloads are the best candidates for these environments?  When should I leverage an off-premise solution?The biggest question however may be this: how do I get started?The challenge can be daunting, but the solution doesn’t have to be complicated. Everyone agrees there is a tremendous savings potential both financially and operationally by implementing a hybrid cloud.Let me provide a little context.  Last year we hosted 6,000 accounts at our executive briefing centers across the globe.  An overwhelming majority of these accounts requested discussions that pertained to EMC’s internal IT transformation, hybrid cloud, the Service Provider Program, or general sessions with EMC’s consulting services practice.In 2014, EMC announced our Enterprise Hybrid Cloud solution.  The launch led to almost 400 customer sessions over about 12 weeks.  These discussions focused on either the strategy of a hybrid cloud or a specific technology that can be utilized to implement a hybrid cloud.In addition to these conversations, EMC delivered approximately 150 IT Transformation Workshops last year. These workshops bring together representatives from our global services and IT teams for in-depthengagements to understand the customer’s current environment, their desired end state, and the methodology required to get there. These workshops are either a half-day or a full day and involve working in a “roll up the sleeves” style.  The feedback and results have been nothing short of stellar.Last year, the global services team led an engagement to build a proof-of-concept (PoC) for an enterprise hybrid cloud with one of the largest global financial services institutions in the Europe, Middle East, and Africa region.  The PoC incorporated client-required technologies, an operational transformation design of the expected end-state hybrid cloud model, and an IT service management model.  The customer has since selected EMC as their provider of record moving forward.This is a shining example of how our technologies and services came together around the appropriate solution that encompassed a holistic transformation approach.  One of the most unique aspects of this PoC included live integration with the customer’s existing infrastructure.  This provided a real world opportunity to experience a full solution that started solving business, operational and technology problems from day one.Most technology organizations in the cloud enablement space are pushing proprietary offerings that require protracted service commitments and substantial investments of time and money.  The approach at EMC is different.  We offer best of breed products and services with a focus on the whole approach that includes the what, why & how.  Not just the pieces and parts that make up the infrastructure.I would like to extend you an invitation to visit one of our global executive briefing centers and experience, first hand, the EMC approach.last_img read more

first_imgThere is no question that today’s healthcare system is going digital. With new mandates addressing the use of electronic health records and the growth of digital tools and solutions to assist in care delivery, the entire healthcare system increasingly relies on the delivery of digital services. For an industry that has traditionally relied on pen and paper records, this transition places particular stress on small and rural hospitals who don’t have large IT teams or budgets to address these challenges. This was precisely the situation that created a unique set of challenges for our team here at Gordon Memorial Health Services (GMHS), that includes Gordon Memorial Hospital, Clinics and a Long-term Care Facility, which we were able to address by going the converged infrastructure route.Our hospital, located in Gordon, Nebraska, is the only hospital in a 50 mile radius. We serve 10,000 people across 10,000 square miles and are proud to be one of the top 100 Critical Access Hospitals – meaning we are one of the best hospitals providing a safety net for communities across rural America. As with many rural hospitals, we were dealing with an aging IT infrastructure that required a great deal of upkeep and considering what we wanted to accomplish in the future, we knew our infrastructure needed a major update. We just didn’t have the flexibility to make the digital transition with the resources we had.As we looked into our options for an infrastructure refresh, we did an intensive ten-year total cost of ownership (TCO) analysis. The results surprised us – we had been told that converged infrastructure would save us money in the long-term, but we weren’t expecting the magnitude of the savings. By deploying a Vblock System from VCE, we expect to save an estimated $695,000 over a decade for services, support, hardware and staffing. For a hospital of our size, this is business-changing. We can put the savings towards new technologies to help improve patient outcomes, instead of using it on maintenance to keep the hospital systems up and running. It allows us to put our focus on what matters: our patients.The Vblock System enables us to support a new, mission-critical electronic health records (EHR) solution which allows our healthcare professionals to securely access and exchange patient records in real-time, leading to better decision-making and better patient outcomes.The capacity of the Vblock System also gives us room to grow. We aren’t completely utilizing its full capacity so we can use it as a revenue-generating platform by providing many different cloud-based solutions to other medical institutions in the area. Again, this goes a long way to helping improve care across the region, keeping the focus on our community and our patients.As industries like healthcare change with the introduction of digital technologies, the smaller players (like GMHS) will feel the pinch. Converged infrastructures offered us a way to address this transformation head on and meet the challenges of the industry by having an infrastructure that is prepared to handle it.If you’d like to learn more about Gordon Memorial Health Services’ deployment, check out the case study. For more information on how a VCE solution can help your healthcare organization, please visit us at http://www.gordonmemorial.org/last_img read more

first_imgIn a recent IDC report IT decision makers believe 75% of enterprises applications will use AI by 2021. Artificial Intelligence is not a new solution in fact we have seen various cycles of excitement followed by lulls. What makes this cycle any different? Two words: Deep LearningWhat is deep learning?The early stages of World War II brought about many challenges. Aerial warfare left the historically safe areas vulnerable to attacks from the air. Building a bigger wall or using the ocean as a barrier strategy was quickly deemed useless. In Thomas Rid’s Rise of the Machine: A History of Cybernetics he walks through how learning machines were born out the necessity to create capable anti-aircraft machines. By combining man and machine the anti-aircraft guns were more dynamic at repealing aerial attacks thus the dawn of man and machine began. Over the years those learning machines have advanced from simple pattern recognition to neural networks allowing machines to self-drive automobiles, drones, and trains.Many of the advances in learning machines has been made possib le by Deep Learning. Think of Deep Learning as a subset in Machine Learning where algorithms learn much like the human brain. In Machine Learning, algorithms are programmed with a defined set of features. For example, trying to identify car types with Machine Learning require to predefined  features like size, spoiler, wheelbase, etc. However Deep Learning allows for the Neural Network to define the features from the data feed through the input layer.Why Deep Learning Now?The mathematics and research for Deep Learning may have been around for decades but only recently has the true potential begun to be realized. The key to the rise of Deep Learning is in the Data. Stanford Professor and one of the foremost experts on Artificial Intelligence and Deep Learning Andrew Ng attributes the rise of deep learning to improved algorithms and rise in data. As Data Scientist and Machine Learning Engineers use better algorithms and larger data sets the accuracy of the models improve. Insights gleaned from Deep Learning still fall in the Big Data Maturity Model but are of a higher order of maturity.  Reporting like that seen with Descriptive Analytics don’t require complex deep learning algorithms or large varied data sets. However, as businesses move up the maturity model, like teaching an automobile to drive itself through the busy streets like Nashville or San Francisco, they require more complex algorithms, varying data types, and vast amounts of data.Data is Key to Better ModelsThe improved accuracy shows Data Scientist Teams that the key to creating the best model is using better algorithms and neural networks, but the technology is only part of the equation. In fact, I would argue the neural networks are the easy part. Look at the biggest implementors of Deep Learning like Google & Facebook. Both have been driving the open-source versions of their Deep Learning solutions to the public in the form of Tensorflow & Caffe.  Why would Facebook risk doing that? Couldn’t a rival or startup build models to predict what ads our friends and families maybe likely to click on? The problem for that challenger is they couldn’t come close to the accuracy because they wouldn’t have anything close to the Data Capital Facebook has. Data is the real differentiator not the algorithms which is why companies open-source their deep learning frameworks.Ready for Data Capital Data Capital has moved beyond a theory and it seen as a law for all industries disrupting the market. The data businesses hold is their accelerant to innovation and will decide who the winners and loser of tomorrow. Data is the great equalizer in deciding if the next application or project your business undertakes will be successful. No longer do we have to rely on gut decisions hoping we made the right call. We can now reduce our risk by letting the data tell us what to do. Now the challenge lies in how we are collecting, protecting, cleansing, and giving access to our data. Tomorrow’s disruptors understand the real risk is not having a strategy for managing Unstructured Data at Scale. To continue this conversation further, both Dell EMC and I will be at the O’Reilly Artificial Intelligence event next week in San Francisco.  Contact me on Twitter @Henson_TM or stop by the Dell EMC booth in the expo hall.last_img read more