Speed still matters. That’s something we continually hear when talking to our customers. The biggest issue? The time required to implement new technology at scale. A growing number of businesses are recognising that they not only need best-of-breed virtualization, server, network, storage and backup – these elements all have to be fully integrated in a way that’s simple and intuitive to manage.This is a major issue for Singaporean businesses seeking to gain an edge in IT innovation. The Infocomm Development Authority of Singapore’s (IDA) recently announced that the Government would call for an estimated S$2.2 billion worth of information and communications technology (ICT) tenders this financial year, of which a primary focus area would its Smart Nation initiative. In its push to make Singapore the world’s first Smart Nation, the Government will implement solutions to collect, analyse and distribute massive quantities and varieties of data to help its citizens and optimise services, examples of which include building smart homes and introducing Smart Mobility.All this points towards massive new market opportunities for a range of industries in Singapore, including construction, consumer technology, and of course the country’s large electronics components and semiconductor sector. But to take advantage of new demand, businesses will need IT infrastructure that’s reliable, agile, and fast to deploy if they’re to ride on Singapore Government’s momentum.VCE’s converged infrastructure solutions take 45 days to implement from start to finish, up to 4 times faster than traditional infrastructure deployments. When combined with the flexibility to handle any variety of workloads, you’ve got a solution that, according to Enderle Group Principal Analyst Rob Enderle, “gives customers what they paid for, gives it to them fast and it pretty much does everything they want it to do.” Some of our customers in Asia-Pacific have literally deployed Vblocks in the middle of construction sites: they’re built for speedy roll-outs which won’t lead to headaches further down the track.As more organizations start to understand the benefits of converged infrastructure and the market fills up with ‘converged’ offerings, our customers continue to do things with Vblock Systems that “people didn’t really believe could be done.”Image: Singapore Skyline by Nicolas Lannuzel
When people ask what most excites me about working for the largest privately owned technology company in the world, they are often surprised to hear that my answer focuses not so much on IT itself, but rather the vision emerging technologies are capable of providing to those companies willing to think innovatively.In the age of digital transformation, the human/machine partnership has opened vast new channels for organizations to push the boundaries of what technology can do to help them expand their corporate reach. But this can only be accomplished when decision makers are able to properly read the blueprint for turning the chaos at the center of digital disruption into opportunity, and that means teaching them to focus not on what technology is, but what it can achieve within their organization once properly integrated.Struggling with the pace of changeTo be sure, committing to a successful digital transformation can be a daunting task for members of the C Suite, who must by necessity keep one eye focused on making sure the lights stay on. As an April 2018 IT transformation maturity study commissioned by Dell EMC and conducted by Enterprise Strategy Group (ESG) illustrates, the majority of today’s organizations recognize the power of emerging technologies to increase their bottom line, but are unsure as to which solutions will give them the best return on investment. The study showed that transformed organizations are more than 2x as likely to report exceeding their FY2017 revenue goals, contributing to a 2.5x greater likelihood to believe they are in a strong competitive position. And yet, a majority of companies surveyed around the world say they lack the transformation needed to remain competitive with more agile and advanced industry peers.So why the disparity? To put it bluntly, most modern organizations still think of IT in yesterday’s terms – as a provider of email, networking, data storage and backups. But when properly understood, today’s technology is capable of so much more. The wealth of possibilities at the heart of the human/machine partnership have transformed IT from a simple service provider into a trusted business partner capable of reinventing business models, extending an organization’s reach and influencing long-term strategies. In many ways, modern IT has so deeply integrated itself into today’s market that every company is in some way a software company, regardless of the goods and services it offers or the field it is in. Take banking, for example. Who uses paper cheques anymore? And soon, who will use cash? Before we know it, everything will be done online.From science fiction to strategic solutionsThe chaos brought about by digital disruption has led to a culture of confusion among executive decision makers. They are increasingly aware that once futuristic solutions such as artificial intelligence, virtual and augmented reality and machine learning are now coming into their own as field-tested tools capable of ushering in new methods for productivity. However, they are unsure how to incorporate this potential into their business. This is where we at Dell Technologies come in, and this is where my job gets interesting.In order for an organization’s C Suite to understand the true potential behind these cutting edge solutions, we as IT providers must translate these technologies into tangibles that represent the ways in which they can specifically benefit our customers. To do this, we help them to create and realize innovative business ideas through the use of coded software that sits on solid hardware foundations. Rather than asking what a particular technology does, we want our customers to think about what they wish to accomplish, and then devise new ways of orchestrating emerging IT solutions to realize their goal.A great example of this is Columbia Sportswear, who wanted to drive their time-to-market for customer inspired clothes by increasing their ability to collaborate between design and production departments across different sites. To help them do this, Dell EMC and VMware worked with Columbia to successfully modernize its infrastructure and take advantage of an array of new initiatives in 3D modeling, shared via the cloud. As a result, they can now get a product from their suggestion box to shop shelves in under two weeks.Similarly, Bottling Investments Group (BIG), a part of Coca-Cola, wanted to create greater transparency and standards across its worldwide network of franchise bottlers that manufacture, package, merchandise and distribute Coca-Cola products to millions of consumers. By transitioning its SAP applications to the Virtustream Enterprise Cloud, DellEMC helped BIG devise a customized system where its bottlers can now literally “pay by the drink,” granting each individual entity direct control over managing its own costs as well as full transparency into its data.Locally here in the UK, we are committed to helping both businesses and the Public Sector build new offerings based on technology, modernize processes using technology, and create new customer experiences through the use of technology. The possibilities are limitless.Making the most of the human/machine collaborationWhen most of us look at an airplane, we do not think of the series of engines, ailerons and rudders that go into how it flies. Instead, we focus on where that plane will take us on the next step of our journey.For modern organizations, the same can be said of emerging technologies. By investing in the future and partnering with machines and the solutions that power them, forward thinking companies will find themselves perfectly positioned to push the boundaries of what IT can do. In doing so, they will themselves be prepared to reap the benefits of what technology can do for them, be it in terms of furthering the company’s reach or bolstering its bottom line.This enables both parties – us as a technology provider, and our customers who use these solutions to extend their vision – to drive one another to achieve something that is greater than the sum of its parts. And that is what any good partnership is about.I find that incredibly satisfying.
Introduce customers to advanced server technology that’s ideally suited to transformational workloadsWhen Dell acquired EMC in September 2016, it didn’t just gain the industry’s leading enterprise storage vendor. Suddenly, Dell was also able to tap into a rich vein of Machine Learning expertise in EMC. This capability now sees Dell EMC adopting a leading position in the fast-growing Artificial Intelligence market, offering technologies and services that span the edge to the core to the cloud.Thanks to the inherent product optimization and consultancy expertise offered by the combined company, Dell EMC partners are now ideally placed to benefit from customers’ ever-growing interest in the potential of Artificial Intelligence (AI) to deliver business growth.Industry analyst Moor Insights & Strategy reports that worldwide demand for AI technologies is surging, with organizations of all sizes identifying possible application benefits in terms of productivity, revenues and product improvements1. In fact, IDC forecasts that total spending on AI will ramp up to tens of billions of dollars by the early 2020s.2Tap into the interest in AI initiativesAI is a transformative technology that has the power to change the way organizations interact and add intelligence to many products and services through new insights that were previously hidden in vast pools of data. The breadth of AI applications continues to grow, as progressive companies continue to advance and explore the capabilities of the underlying technologies of Machine Learning and Deep Learning.AI is a branch of computer science that deals with the simulation of intelligent behavior in computers and the capability of a machine to imitate human intelligence. It can cover everything from characterizing something as ‘simple’ as recognizing an object in an image to applying reason and ethical values in problem solving – something far beyond current capabilities within the field.Machine Learning uses statistical analysis modeling for use cases such as resource allocation, predictive analytics, predictive maintenance, text classification, bioinformatics, trend discovery, forecasting, face detection and pricing. These ‘classical’ statistical approaches are generally well suited for uncovering trends and categories in numerical data, and do not require massive training datasets or hardware accelerators.Deep Learning, meanwhile, is all about discovering and modeling complex unstructured data for perception and recognition purposes. It’s now widely used for computer vision, speech recognition, natural language processing, social network processing, autonomous driving, image processing and classification, and financial market modeling.A Smart approach to driving insights and improvementsIn its report on the subject1, Moor suggests that interest in the potential of AI is primarily driven by two key motivations:To improve operational efficiencies – what it refers to as ‘Smart Operations’; andTo enhance products and services through data-driven insights and use of unstructured data types, such as voice and images, to enhance human-machine interaction – what it calls ‘Smart Products and Services’.Smart Operations includes everything from e-commerce product recommendation engines to cyber security, customer sales and support chatbots, financial trading, fraud detection, enhanced public safety services and supply chain optimization.Smart Products and Services can be found in the fields of medical diagnosis and treatment, drug discovery, hospital clinical care management, autonomous vehicles, drones, consumer electronics, and threat intelligence and prevention.Over the next decade, AI is predicted to have an impact on virtually every product and business process. This means there’s more than likely something that your customers are currently doing that could benefit from AI input to enhance efficiencies and/or outcomes.AI requires modernized compute with optimized server technologyAcross all business sizes and sectors, it’s widely acknowledged that modernizing a company’s compute infrastructure is an essential first step towards implementing AI initiatives. Because AI requires specialized and optimized compute.Organizations wishing to implement AI initiatives are finding that they need to invest in the advanced level of computational horsepower that Machine Learning, especially Deep Learning, demands – as well as high-bandwidth, low-latency networking and storage capabilities.While modernization does require some investment, a recent Forrester Consulting research study3 reported that an infrastructure upgrade will pay off not only in financial ROI terms, but also in additional business value, such as improved customer experience and IT operational efficiency.There’s no denying that AI costs are significant, but so are the returns. Despite hesitations around the upfront cost, 51% of companies in the Forrester study reported that they’re expecting an ample return of between 2x and 5x in terms of their AI investments and the additional business value.The inefficiencies of outdated infrastructureThe Forrester survey found that the largest challenge to AI in the data center was antiquated infrastructure that made it difficult for the IT organization to support the business in an agile manner. Enterprises especially called out the inefficiencies due to a lack of server and workload automation, as well as insufficient security and legacy software that could not be upgraded.The latest Dell EMC PowerEdge servers, powered by next-generation Intel® Xeon® Scalable processors, are the bedrock of the modern data center – with scalable business architecture, intelligent automation and integrated security built in at every step.As a Dell EMC partner, you’re ideally placed to promote servers such as the brand new Dell EMC PowerEdge R940xa (optimized to run AI and machine learning workloads) and the Dell EMC PowerEdge R840 (ideal for turbocharged in-database analytics), which will help your customers to maximize performance and optimize efficiency right across the business – with no compromises.We’ve also recently developed pre-configured ‘Ready Bundles’ for Machine Learning and Deep Learning at scale. These are designed to simplify the configuration process, lower costs and speed deployment of distributed multi-node Machine Learning/Deep Learning clusters – to make life easier for AI practitioners at every stage of their implementation.To learn more about how Dell EMC PowerEdge server technology is supporting and ideally suited to AI initiatives, read the whitepaper now.1 Moor Insights & Strategy report, commissioned by Dell EMC, ‘The Artificial Intelligence Starter Guide for IT Leaders’, May 2018.2 IDC, ‘Worldwide Spending on Cognitive and Artificial Intelligence Systems Forecast to Reach $12.5 Billion This Year, According to New IDC Spending Guides’, April 3, 2017.3 Forrester Consulting Thought Leadership Paper, commissioned by Dell EMC, ‘CIOs Need To Take The Lead On AI For Transformational Outcomes Across The Company’, May 2018.
GALVESTON, Texas (AP) — A 37-year-old Texas woman has been sentenced to life in prison with the possibility of parole for the death of her 4-year-old son, whose body was found on a beach in Galveston. Court records show Rebecca Suzanne Rivera was sentenced Thursday following her conviction on a charge of injury to a child by omission. The body of Jayden Alexander Lopez was found in October 2017 and he was initially known only as “Little Jacob” until being identified based on tips and DNA testing. Court records show Rivera, who had pleaded not guilty, has filed notice that she will appeal the verdict and sentence.