If there’s one thing that stands out about central government, it’s the appetite for digital transformation. Whether delivering new customer-facing websites to drive better engagement with services or establishing a centre of excellence to accelerate the take-up of robotic process automation (RPA), UK government is embracing opportunities to modernise with new technologies.
But despite the great strides made in the last few years, the UK is slipping backwards in E-Government development terms – down from #1 in 2016 to #4 in 2018, according to the UN E-Government Survey 2018. Some argue this is due to the government having tackled the more straightforward digitisation opportunities and because it is now facing the bigger, more complex systems that need modernising. Our research shows that there are also wider challenges, including uncertainty around the impact of Brexit, budgetary pressures and emerging technologies, coming into play.
So what needs to happen to overcome our challenges
Published By: StreamSets
Published Date: Sep 24, 2018
The advent of Apache Hadoop™ has led many organizations to replatform their existing architectures to reduce data management costs and find new ways to unlock the value of their data. One area that benefits from replatforming is the data warehouse. According to research firm Gartner, “starting in 2018, data warehouse managers will benefit from hybrid architectures that eliminate data silos by blending current best practices with ‘big data’ and other emerging technology types.” There’s undoubtedly a lot to ain by modernizing data warehouse architectures to leverage new technologies, however the replatforming process itself can be harder than it would at first appear. Hadoop projects are often taking longer than they need to create the promised benefits, and often times problems can be avoided if you know what to avoid from the onset.
Data integration (DI) may be an old technology, but it is far from extinct. Today, rather than being done on a batch basis with internal data, DI has evolved to a point where it needs to be implicit in everyday business operations. Big data – of many types, and from vast sources like the Internet of Things – joins with the rapid growth of emerging technologies to extend beyond the reach of traditional data management software. To stay relevant, data integration needs to work with both indigenous and exogenous sources while operating at different latencies, from real time to streaming. This paper examines how data integration has gotten to this point, how it’s continuing to evolve and how SAS can help organizations keep their approach to DI current.
When designed well, a data lake is an effective data-driven design pattern for capturing a wide range of data types, both old and new, at large scale. By definition, a data lake is optimized for the quick ingestion of raw, detailed source data plus on-the-fly processing of such data for exploration, analytics and operations. Even so, traditional, latent data practices are possible, too.
Organizations are adopting the data lake design pattern (whether on Hadoop or a relational database) because lakes provision the kind of raw data that users need for data exploration and discovery-oriented forms of advanced analytics. A data lake can also be a consolidation point for both new and traditional data, thereby enabling analytics correlations across all data.
To help users prepare, this TDWI Best Practices Report defines data lake types, then discusses their emerging best practices, enabling technologies and real-world applications. The report’s survey quantifies user trends and readiness f
Security is a looming issue for businesses. The threat landscape is increasing, and attacks are becoming more sophisticated. Emerging technologies like IoT, mobility, and hybrid IT environments now open new business opportunity, but they also introduce new risk. Protecting servers at the software level is no longer enough. Businesses need to reach down into the physical system level to stay ahead of threats. With today’s increasing regulatory landscape, compliance is more critical for both increasing security and reducing the cost of compliance failures. With these pieces being so critical, it is important to bring new levels of hardware protection and drive security all the way down to the supply chain level. Hewlett Packard Enterprise (HPE) has a strategy to deliver this through its unique server firmware protection, detection, and recovery capabilities, as well as its HPE Security Assurance.
Leading companies and technology providers are rethinking the fundamental model of analytics, and the contours of a new paradigm are emerging. The new generation of analytics goes beyond Big Data (information that is too large and complex to manipulate without robust software), and the traditional narrow approach of analytics which was restricted to analysing customer and financial data collected from their interactions on social media. Today companies are embracing the social revolution, using real-time technologies to unlock deep insights about customers and others and enable better-informed decisions and richer collaboration in real-time.
Security is a looming issue for organizations. The threat landscape is increasing, and attacks are becoming more sophisticated. Emerging technologies like IoT, mobility, and hybrid IT environments now open new organization opportunity, but they also introduce new risk. Protecting servers at the software level is no longer enough. Organizations need to reach down into the physical system level to stay ahead of threats. With today’s increasing regulatory landscape, compliance is more critical for both increasing security and reducing the cost of compliance failures. With these pieces being so critical, it is important to bring new levels of hardware protection and drive security all the way down to the supply chain level. Hewlett Packard Enterprise (HPE) has a strategy to deliver this through its unique server firmware protection, detection, and recovery capabilities, as well as its HPE Security Assurance.
Published By: Dell EMC
Published Date: Oct 13, 2016
Flexibility is important, since many future initiatives—big data, machine learning, emerging technologies, and new business directions—will be built on this cloud structure.
No matter what shape your cloud infrastructure takes, Dell EMC converged and hyper-converged platforms and innovations like Dell EMC VscaleTM Architecture, powered by Intel® Xeon® processors, deliver the pathways to scale-up and scale-out, today and tomorrow.
It is often hard for owners to ensure a business with geographically diverse locations run seamlessly as a unified company. This is especially true as there are a number of trends emerging that complicate the task of running a business that has multiple locations.
At the same time, there are technologies and capabilities than can help your business and staff create an integrated work environment. This ebook will examine a variety of solutions that can make it easy for staff to work across all of your business locations, helping to make your business run more efficiently and providing your staff with the tools they need to be more productive.
It seems that with each passing year the speed at which new and emerging technologies are transforming business increases in almost direct proportion to impact. We now all live in an era of digital business transformation that is being enabled by rapid advances in telecommunications services. These changes do not just impact the way employees work; they profoundly change the way customers interact with businesses of all sizes.
Emerging technologies, like mobile, big data and cloud, lead to increasingly complex and demanding workloads that can overwhelm outdated infrastructures. But by leveraging server and management systems designed for the technologies of today, Best-in-Class organizations can easily meet these demands and gain benefits.
Not long ago, even the most astute executives couldn’t fully anticipate how quickly emerging technologies would transform their business operations — and even their business models.
Laptops, smartphones, and other mobile devices; high-bandwidth wireless networks; and cloud-based computing services have proven to be among the most impactful of these advances, collectively untethering workers from office environments and fundamentally altering work behaviors. employees today work anytime, anywhere while accessing applications and data that reside on company servers and in the cloud.
Cisco Umbrella can help your business overcome these problems, download this whitepaper today to find out more.
More often than not, performance and security are thought of as two separate issues that require two separate solutions. This is mainly due to the implications posed behind various performance and security products. We typically have either security solutions or performance solutions, but rarely solutions that offer both. As technology has advanced, so have our attackers, finding newer and better ways to impact both the performance and security of a site. With this in mind, it has become even more critical to come up with solutions that bridge the gap between security and performance. But how do we do that? We need to shift the focus to what we can do at the browser by leveraging various frontend techniques, such as web linking and obfuscation, versus solely relying upon the capabilities of a content delivery network (CDN) or the origin. We can take advantage of all the new and emerging frontend technologies to help provide a secure and optimal experience for users—all starting at the
Digital transformation has fundamentally disrupted global manufacturing. It’s not just a single technological advancement; it’s a full range of emerging technologies that are revolutionizing the industry. Social, mobile, Big Data, analytics, cloud, and the Internet of Things are re-defining every organization’s operating models. Within the next decade, many manufacturers will find themselves managing operations that are virtually unrecognizable from the past century.
Cloud services are poised to boost US GDP by $2 trillion over the next decade, according to new research commissioned by Oracle—but not every firm will benefit. In Intelligent Finance: How CFOs Can Lead the Coming Productivity Boom, Dr. Michael Mandel, senior fellow at the Mack Institute for Innovation Management at the Wharton School, shares how finance leaders across industries can help their organizations benefit from the coming wave of US productivity using cloud services—and the emerging technologies and global best practices they deliver.
Download this Ponemon Institute Report on the value of emerging network security technologies. Get the views of 4,500 IT security practitioners and find out which of the rapidly emerging technologies really are effective.
Today’s plants are faced with managing two major challenges: the increasing speed
of business and integrating emerging technologies. Leveraging IIoT as a basis for plant modernization could result in big payoffs: download the white paper to learn more.
For hospitality leaders, anticipating consumer trends and seeking innovations that enhance guest experiences are vital exercises that need to be practiced diligently. Now, more than ever – with the coming wave of disruptive technologies – taking these steps helps ensure success tomorrow.
Read the white paper to learn how a good data center strategy can help you prepare for the rigors and unpredictability of emerging technologies. Find out how IBM’s predictive analytics are helping companies build more accurate, forward-looking data center strategies and how those strategies are leading to more agile, efficient and resilient infrastructures.
Business-to-business CMOs need to stay current on emerging technologies that improve customer engagement. This Forrester Research report overviews new technologies marketers us to improve customer acquisition and engagement at different stages of the customer life cycle.
Financial institutions seeking to attract new customers and revenue channels are expanding into digital services, real-time payments and global transactions. However, with every new service, criminals are developing innovative ways to infiltrate financial systems, and older technologies that mitigate fraud no longer work as effectively.
So how can financial institutions respond to this growing threat?
Fortunately, more advanced technologies hold great potential for real-time financial crime mitigation. Learn about five current and emerging technologies that could impact money laundering and fraud mitigation, including artificial intelligence/machine learning, blockchain, biometrics, predictive analytics (hybrid model) and APIs.
Read the latest Fiserv white paper: Five Tech Trends That Can Transform How Financial Institutions Detect and Prevent Financial Crime.
Apache Hadoop technology is transforming the economics and dynamics of big data initiatives by supporting new processes and architectures that can help cut costs, increase revenue and create competitive advantage. An effective big data integration solution delivers simplicity, speed, scalability, functionality and governance to produce consumable data.
To cut through this misinformation and develop an adoption plan for your Hadoop big data project, you must follow a best practices approach that takes into account emerging technologies, scalability requirements, and current resources and skill levels.