Today’s leading-edge organizations differentiate themselves through analytics to further their competitive advantage by extracting value from all their data sources. Other companies are looking to become data-driven through the modernization of their data management deployments. These strategies do include challenges, such as the management of large growing volumes of data. Today’s digital world is already creating data at an explosive rate, and the next wave is on the horizon, driven by the emergence of IoT data sources. The physical data warehouses of the past were great for collecting data from across the enterprise for analysis, but the storage and compute resources needed to support them are not able to keep pace with the explosive growth. In addition, the manual cumbersome task of patch, update, upgrade poses risks to data due to human errors. To reduce risks, costs, complexity, and time to value, many organizations are taking their data warehouses to the cloud. Whether hosted lo
When your solution needs deep packet inspection (DPI) application awareness as a key enabling feature, highly reliable and accurate identification of network traffic and applications - in real time - is an expected requirement. Whether it’s for software defined networks to enable policy control and critical traffic steering or to protect corporate networks, IoT devices, and cloud platforms from malicious attacks, it’s crucial to choose the right DPI solution.
Are you up-to-speed with the latest trends in mobile and Internet of Things (IoT) application security testing? Our recent Ponemon Institute study reveals key findings about organizations' ability to protect their mobile and IoT apps. Read our report to learn how well you stack up against your peers in securing your most critical mobile and IoT applications.
As a Staples Business Advantage® customer, exclusive content is just one of the perks you can access any time. In this webinar, security expert, Ron Chestang of HP, and Michael Mayberry of Staples Business Advantage, discuss the rise of IoT, how to mitigate risk and the hidden costs of securing your network.
Published By: MuleSoft
Published Date: Jan 16, 2018
Every company today is a software company and, as a result, business and technology strategies ought to be very intertwined. But often, those strategies aren’t in alignment, leading to challenges in information technology. And in today’s hyper-competitive business environment, that can be disastrous. Companies have to ask themselves: How can we tackle challenges of information technology? Are we doing IT wrong?
Today’s CIOs are the key players who enable organizations to respond to the disruptive forces and information technology challenges impacting all industries — mobile, IoT, and SaaS among others. In order to increase speed and agility there must be a strong partnership between IT and the rest of the business.
Read this e-book to learn:
Why we have been doing IT wrong, and how putting culture first and technology second, valuing reuse, and leveraging KPIs can push CIOs to the right direction.
How IT teams can address their delivery gap and increase project delivery speed by ado
ASG's Business Service PortfolioT (BSPT) Virtualization Management provides comprehensive oversight, inspections, discoveries, warnings, diagnostics, and reporting for the critical technology and administrative disciplines involved in virtual workload management. This is all done in parallel with physical systems management.
Despite the business-transforming upsides of data from the Internet of things (IoT), there’s a downside: security. Porous networks and lax users offer tantalizing access for hackers. Although most security spending is at the enterprise level, a shift is needed to secure IoT applications and provide improved governance and accountability. Electronics companies must create secure environments that safely collect, consume, share and store data on their networks. But they also must go beyond devices and consumers to close holes to factory, ecosystem and partner networks.
Small and midsize retailers around the world are seeing their businesses transform in a variety of ways. These firms, typically with fewer than 1,000 employees, have been transforming themselves as customers seek new types of engagement and as suppliers expect higher levels of efficiency and effectiveness. New business models and new competitors are changing the way retailers do business. Rather than simply react to new threats, successful retailers are leveraging technology in new ways to sharpen business practices, improve agility, and better serve customers while strengthening the role of retailers in the supply chain.
Through digital transformation including the effective engagement of the internet of things (IoT) to track inventory, the opportunity to maintain and gain competitive advantage can be significant.
In April 2016, SAP commissioned Forrester Consulting to evaluate how enterprises are taking advantage of IoT, how IoT fits into broader digital transformation initiatives, and the role of immediate insights in realizing the benefits that IoT can deliver.
There’s strong evidence organizations are challenged by the opportunities presented by external information sources such as social media, government trend data, and sensor data from the Internet of Things (IoT). No longer content to use internal databases alone, they see big data resources augmented with external information resources as what they need in order to bring about meaningful change. According to a September 2015 global survey of 251 respondents conducted by Harvard Business Review Analytic Services, 78 percent of organizations agree or strongly agree that within two years the use of externally generated big data will be “transformational.” But there’s work to be done, since only 21 percent of respondents strongly agree that external data has already had a transformational effect on their firms.
As digital business evolves, however, we’re finding that the best form of security and enablement will likely remove any real responsibility from users. They will not be required to carry tokens, recall passwords or execute on any security routines. Leveraging machine learning, artificial intelligence, device identity and other technologies will make security stronger, yet far more transparent. From a security standpoint, this will lead to better outcomes for enterprises in terms of breach prevention and data protection. Just as important, however, it will enable authorized users in new ways. They will be able to access the networks, data and collaboration tools they need without friction, saving time and frustration. More time drives increased employee productivity and frictionless access to critical data leads to business agility. Leveraging cloud, mobile and Internet of Things (IoT) infrastructures, enterprises will be able to transform key metrics such as productivity, profitabilit
IoT has proven its value in the private sector. Ever since the 1980’s, US manufacturing has undergone a dramatic transition based on IoT. Machines that where once manually calibrated and maintained began to be controlled by specialized computers. These computers were able to quickly recalibrate tools which allowed manufactures to produce smaller batches of parts, but were also often locked into proprietary computing languages and architectures.
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.
IoT describes a system where items in the physical world, and sensors within or attached to these items, are connected to the Internet via wireless and wired Internet connections. These sensors can use various types of local area connections such as RFID, NFC, Wi-Fi, Bluetooth, and Zigbee. Sensors can also have wide area connectivity such as GSM, GPRS, 3G, and LTE.
The Internet of Things may be a hot topic in the industry but it’s not a new concept. In the early 2000’s, Kevin Ashton was laying the groundwork for what would become the Internet of Things (IoT) at MIT’s AutoID lab. Ashton was one of the pioneers who conceived this notion as he searched for ways that Proctor & Gamble could improve its business by linking RFID information to the Internet. The concept was simple but powerful. If all objects in daily life were equipped with identifiers and wireless connectivity, these objects could be communicate with each other and be managed by computers.
The Industrial Internet of Things (IIoT) is flooding today’s industrial sector with data. Information is streaming in from many sources — equipment on production lines, sensors at customer facilities, sales data, and much more. Harvesting insights means filtering out the noise to arrive at actionable intelligence.
This report shows how to craft a strategy to gain a competitive edge. It explains how to evaluate IIoT solutions, including what to look for in end-to-end analytics solutions. Finally, it shows how SAS has combined its analytics expertise with Intel’s leadership in IIoT information architecture to create solutions that turn raw data into valuable insights.
The Internet of Things can bring big benefits. But what exactly is IoT, and how are different industries taking advantage of it? This TDWI e-book explores in detail what IoT and the Industrial IoT (IIoT) do for retailers, the automotive industry, state and local governments working with utilities firms, and the manufacturing industry. Common themes include connectedness, data-driven insights, predictive capabilities and transformation.