Enterprise storage arrays are highly sophisticated systems that have evolved over decades to provide levels of performance, reliability, and functionality unavailable in the underlying hard disk drives upon which they’re based. A significant aspect of the engineering work to make this possible is designing the array hardware and software stack to extract the most capability
One way or the other, implementing BPM in your organisation will introduce change. But here, more so than in many other kinds of business/IT project, it is crucial to remember that technology change is not the same as business change. You can effect a technology change by installing a BPM system; but that by itself
IBM has a long history as a provider of process automation technology. In recent years the company has focused significant effort on building a new process management platform within its WebSphere software unit, as well as buying companies with strong technology relevant to BPM (FileNet, ILOG and Lombardi, to name but three). However, for some
The age of the customer. Possibly no term better illustrates the current era of business. Customers expect their experience to be flawless at every touchpoint, and with competitors only a click (or tap) away, company leaders have a strong incentive to deliver. Online retailers have set a high standard in the way that they engage
A wide range of emerging technologies – from mobile devices and collaborative tools to the explosion of unstructured data and use of cloud solutions – is changing the way organizations in virtually every industry compete. These technologies have transformed how companies interact with customers, business partners and suppliers, enabling significantly greater efficiencies and cost advantages.
To the business user of information systems, the relationship with the IT personnel who build and maintain those systems can be a contradictory experience. On the one hand, IT delivers significant productivity benefits by automating routine tasks and improving access to information, while on the other hand, the process of building automated systems often requires
Every day, we create 2.5 quintillion bytes of data—so much that 90 percent of the data in the world today has been created in the last two years alone. This data comes from everywhere: information-gathering sensors, social media sites, digital pictures and videos, transaction records and cell phone GPS signals, to name a few. This
Harnessing the necessary high performance compute power to drive modern biomedical research is a formidable and familiar challenge throughout the life sciences. Modern research-enabling technologies – Next Generation Sequencing (NGS), for example – generate huge datasets that must be processed. Key applications such as genome assembly, genome annotation and molecular modeling can be data-intensive, compute
New approaches to genomic analysis, such as next-generation sequencing, will play key roles in advancing scientific knowledge, facilitating the development of targeted drugs and delivering personalized healthcare. To capitalize on these new approaches, life sciences organizations need computing environments that can process tremendous amounts of data rapidly. Speed of analy-sis is critical in life sciences
Muss Prozessmanagement komplex sein? Sicherlich steckt die Implementierung und Dokumentation neuer Prozesse voller Tücken: Oft können miteinander verbundene Prozesse kaum transparent betrachtet, geschweige denn analysiert und optimiert werden. Das kostet Zeit und Geld. Aber mit der passenden Software lassen sich Betriebskosten senken, Fehler minimieren, Compliance-Vorschriften erfüllen, Audits vorbereiten und einiges mehr. Zudem können betroffene Mitarbeiter