evolution

The IoT is more than just machines talking to each other. Consumers rely on it to make their lives more convenient. Industry leaders use the Internet of Things to sell products, automate workflows, and engage with consumers. As time goes on and the technology develops, you’ll see that the IoT is the reason for the Fourth Industrial Revolution (Industry 4.0)

This paper, written on behalf of Data4 identifies and discusses key trends in IT infrastructure and the role Colocation will play in the evolution of infrastructure and IT systems.

Exploiting the Software Advantage Lessons from Digital Disrupters

Data centers are evolving. They are much more than the data storage facilities of the past—they are gateways to emerging markets and platforms from which businesses can expand their reach through greater connectivity. These evolutions require the deployment of secured IT platforms capable of supporting and treating a huge amount of data generated in real time. Learn how Interxion partnered with Schneider Electric to meet the needs of its customers and stay relevant in the rapidly evolving colocation market.

Powered by Smart machines, the new industrial revolution is changing how machine builders design and manufactures operate today and in the future. To remain competitive and profitable, plants and machines will have to be smarter- better connected, more efficient, more flexible and safe. This paper explains the impact of smart machines on the industrial automation and controls businesses and provides guidance for adapting to a changing industrial landscape.

Discover how to revolutionize processing performance, data intelligence, customer experiences, and GRC. The future of financial services will belong to those who can capture and capitalize on data. And it all begins with employing modern data strategies in four critical areas. Description You’ll learn how to: Leverage AI, machine learning and predictive analytics. Get scalable, high-speed access to vast amounts of data. Respond faster, become more competitive, and attract new customers.

It’s difficult to think of a force that’s having a more revolutionary impact on financial services than digitalization. It’s materially changing everything in this sector: the way processes work; the way services are offered; the customer experience; and the speed at which business is executed and where it happens.Digitalization is driving the innovation edge to exciting new horizons. A guide to accelerating digitalization while inverting IT spend.

While NFV remains both technically and business relevant today, many communications service providers (CoSPs) have found implementation very complex. NFV implementation will require further evolution in order to fully address operational and business requirements. This white paper reviews factors currently driving the network virtualization evolution and examines the impact of adopting an innovative model based on software and hardware disaggregation.

Changing attitudes to data privacy leave many firms in a precarious position. When there is so much regulatory variation in different markets, how do firms balance their responsibility for customers’ data with maximising value from that data? Listen now to discover: • The current state of play for data privacy – understanding what your customers want and what the regulators want • How to lay solid foundations to help you adapt to the changing landscape • How to ensure your privacy strategy supports growth.

TIBCO® Connected Intelligence for Smart Factory Insights By processing real-time data from machine sensors using artificial intelligence and machine learning, it's possible to predict critical events and take preventive action to avoid problems. TIBCO helps manufacturers around the world predict issues with greater accuracy, reduce downtime, increase quality, and improve yield.

Over the past decade there has been a major transformation in the manufacturing industry. Data has enabled a paradigm shift, with real-time IoT sensor data and machine learning algorithms delivering new insights for process and product optimization. Smart Manufacturing, also known as Industry 4.0, has laid the groundwork for the next industrial revolution. Using a smart factory system, all relevant data is aggregated, analyzed, and acted upon. We call this Manufacturing Intelligence, which gives decision-makers a competitive edge to: Digitize the business Optimize costs Accelerate innovation Survive digital disruption Watch this webinar to understand use cases and their underlying technology that helped our customers become smart manufacturers.

Infinidat® enterprise storage solutions are based upon the unique and patented Infinidat storage architecture—A fully abstracted set of Software-Defined Storage (SDS) functions integrated with the best-of-breed off-the-shelf commodity hardware. Infinidat’s software-focused architecture, an evolution and revolution in data management design over 30 years in the making, solves the conflicting requirements of bigger, faster, and less expensive. This paper discusses the technology that enables Infinidat to be the only enterprise storage provider that achieves multi-petabyte capacity with faster than all-flash performance (over 1.3M IOPS at microsecond latency) and an unprecedented seven-nines availability, all at the lowest Total Cost of Ownership (TCO).

Data continues to grow at an astounding pace? As a result, data center space is becoming more scarce, as more arrays are acquired to store all of this data. Along with this data taking up space, it is also utilizing a great deal of power and cooling. In fact, the average data center in the U.S. uses approximately 34,000 kW of electricity each year, costing $180,000 in annual energy costs. As Infinidat set out to revolutionize the storage industry, one of our goals was to help consumers of storage build a more sustainable infrastructure that would be not only better for the environment, but also help them to save money as well. All of our patents come together to form InfiniBox, a storage solution that does just this.

While threat prevention continues to improve with the use of advanced techniques, adversaries are outpacing these advances requiring security teams to implement threat detection and response programs. Security teams are often addressing the process haphazardly, using disconnected point tools and manual processes that consume too many analysts and result in slow mean-time to detection and response. While EDR has enabled security teams to take important steps forward for detection and response, ultimately it can only look at the endpoints which limits the scope of threats that can be detected and if something is detected, limits the view of who and what is affected and thus, how best to respond. ESG therefore recommends looking beyond the endpoint and utilizing natively integrated security solutions across more than just one vector to improve detection and response times. The more data you can knit together, the more effective you can be to uncover the security incidents most dangerous to your organization. Watch this webinar to learn about the value of XDR: connecting detection and response across multiple security layers. Dave Gruber, senior analyst at ESG, shares recent research and his views on the evolution of threat detection and response; making the case for expanding the capabilities and expectations of detection and response solutions. Wendy Moore, VP of Product Marketing, discusses Trend Micro’s own XDR strategy and the unique value that Trend Micro can bring to detection, investigation and response.

In today’s digital world, technologies such as cloud have become commonplace to take digital transformation projects to the next level. But while cloud is critical to business transformation success, Australian IT decision-makers (ITDMs) still feel that the C-suite does not understand the time and complexity of the journey. This paper explores: • Insights on challenges faced by Australian ITDMs when rolling out cloud projects • The role of the ITDM today • Key blockages IT stakeholders encounter when driving digital change, and; • What they need from the business and wider technology ecosystem to navigate the risks associated with starting a cloud project or moving to a full cloud-first model.

Business growth, innovation and IT departments and inextricably linked. Our new report explores insights from those who are leading the way by prioritising and completing automation innovations. While 67% of businesses are being held back by confidence in their own data. So what actions and attitudes separate those leading and those following in the data revolution? And what difference can self-driving technology make to innovation, strategy and wider business success?

A global mobility revolution has already begun and is accelerating rapidly, opening up major opportunities and challenges for players across the mobility ecosystem. Read this report to discover: • the likely winners and losers in the mobility revolution • how the way people and goods are moved will change dramatically • how the mobility revolution will impact eight traditional sectors • what alliances organisations must build to win in this brave new world.

This paper discusses how the IBM XIV Storage System's revolutionary built-in virtualization architecture provides a way to drastically reduce the costs of managing storage systems.

Wireless communications is on the cusp of the 5G revolution, which is widely touted as a boon for business and consumers. Change is coming, and that heralds significant challenges for government and its use of both fixed and mobile wireless networks. Here are six things agencies should know now about 5G.

This is a case study which shows how Leicester Theatre Trust (LTT) implemented a revolutionary communications solution based around a service-orientated Unified Communications architecture from NEC.

This is a case study which shows how Voorhees College implemented a revolutionary communications solution based around a service-orientated Unified Communications architecture from NEC to provide students, faculty and staff in five locations with software-based voice and desktop communications tools to achieve a 40 percent savings over its previous traditional telephony solution.

To achieve personalization at scale, brands need to develop a better understanding of each customer they interact with, and that’s all about combining all the data they collect from every available source into a single cohesive customer view. There is no way they can handle this task or manage all this data manually, which is why data management platforms (DMPs) rose to prominence. Today, companies are looking to build on this single customer view with a real-time understanding of their audience across every digital channel, marking the next phase on the maturity ramp for DMPs.

As organizations have improved service delivery, they have also turned their focus to presenting business value more positively. These organizations are beginning to develop true BSM systems in two ways: by understanding the metrics that successful businesses employ to determine the value of IT, and by linking these metrics and associated business services to IT infrastructure components.

How should you handle your growing email archiving issues? According to ESG (Enterprise Storage Group), the number of organizations using a SaaS-based email archiving solution has increased 350% in the past three years. It's not a question of if you should archive email, but how - and, the evolution of SaaS solutions makes sense to move email management to the cloud for a broader range of organizations.

Software development has evolved from rigid waterfall methodologies to more streamlined approaches, like Agile and more recently DevOps. This evolution has taken place in large part to shorten development life cycles and meet increased business demands. Today, businesses of all sizes have built an advantage by implementing a DevOps culture and processes, which break down silos between development and operations, allowing organizations to create better software faster. As organizations implement DevOps on Amazon Web Services (AWS), they need to understand the security implications. The AWS Shared Responsibility Model makes clear that AWS secures what’s “on the cloud,” while the customer is responsible for securing their assets “in the cloud.” When AWS customers go about securing their DevOps environments, they need to do so in a way that provides robust protection without limiting developer agility.