The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the
scope of organizations vulnerable to malware-driven cybercrime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others.
"The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the scope of organizations vulnerable to malware-driven cyber crime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others. "
Learn about a solution for electronics manufacturers to promote greater efficiency and profitability, as well as consumer satisfaction.
The full spectrum of IoT electronics consists of Medical Devices, Consumer electronics and appliances, network equipment providers and many more. “These “smart, connected products”—made possible by vast improvements in processing power and device miniaturization and by the network benefits of ubiquitous wireless connectivity—have unleashed a new era of competition.”
It is important for healthcare organizations to become data driven. IBM can help organizations leverage a wide range of big data to deliver clinical and financial benefits, and the provide the steps organizations should take to become data driven.
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. With the
right end-user tools, a data lake can enable the self-service data practices that both technical and business users need. These practices wring business value from big data, other new data sources, and burgeoning enterprise da
A multitude of “things” generate floods of big data – cars, wearables, machines and appliances. Wouldn’t you like to sift through that noise and become an organization that relies on data to make fact-based decisions? Learn about the three foundations of becoming data-driven – data management, analytics and visualization – and how they can increase profitability, boost performance, raise market share and improve operations. Read about hurdles to becoming a data-driven organization and learn best practices from others. Then get a glimpse of what the future holds with the Internet of Things (IoT), edge analytics, artificial intelligence (AI) and other technology innovations.
Some organizations focus on the scary aspects of failing to comply with the EU General Data Protection Regulation. But there are many long-term benefits of following through with plans for sustainable GDPR compliance – such as gaining a competitive edge, or developing new products or services.
To learn how organizations have approached compliance efforts, SAS conducted a global survey among 183 cross-industry businesspeople involved with GDPR. Based on the results, this e-book delves into the biggest opportunities and challenges faced.
Read the e-book to:
• Get advice from industry experts.
• Find out what steps peers have taken.
• Learn how an integrated approach from SAS can continue to guide your journey.
This paper will discuss the barriers to data-driven decision making for midsized businesses, and how experts and non-experts alike can use SAS Visual Analytics to unlock the value of data – including big data – to increase revenue, cut operational costs and better manage their business.
When we talk about the world becoming increasingly interconnected, instrumented and intelligent, the most ubiquitous example is the smartphone. It collects and disseminates data while its users are at home and on the go, likely serving up just as much-if not more-dynamic, socially driven information as static, always-there web content.
Published By: Rackspace
Published Date: Jan 19, 2016
Many companies want to take advantage of public cloud features, but aren’t willing to compromise on the performance, security and control that they require for their business applications and data. Public clouds have the potential to introduce performance issues caused by “noisy neighbors,” security concerns associated with placing sensitive data in a shared infrastructure environment, and a lack of control driven by the inability to customize and fine-tune cloud resources to meet the needs of a given application.
Reducing the price of slow-selling product lines can be an effective way to drive sales and reclaim valuable selling space – but how do retailers ensure that these markdowns are profitable?
Read this case study to learn how Coop Danmark replaced its complex markdown spreadsheets with Markdown Optimization solutions from IBM. Today, the company has deep insight into the optimal percentage and duration for markdowns, based on customer demand forecasts and inventory data at each retail store. This helps the company to boost sales while protecting margins.
Coop Danmark implemented IBM DemandTec Markdown Optimization – delivering insight into the right products to markdown at the best price for the optimal length of time, and helping it maximize the profitability of local price reductions.
This new research — based on data collected in May 2013 from 29 organizations using visual data discovery and 95 that were not — reinforces those findings. In addition, Aberdeen's research demonstrates that visual data discovery can help to usher in a different approach to analytics, an approach that is far more user driven.
"The malware industry supplies all the components cybercriminals need to easily perpetrate malware-driven financial fraud and data theft. In today’s virtual world, the
scope of organizations vulnerable to malware-driven cybercrime is quite broad. In addition to banks and credit unions that are subject to online banking fraud, financial fraud can be perpetrated on insurance companies, payment services, large e-commerce companies, airlines and many others. "
Companies rely on an expanding set of applications to compete in today's rapidly evolving business environment:
- They rely on a fast-growing array of applications and devices (email, collaboration tools, and smartphones/tablets) to communicate and conduct business with customers and business partners.
- They are creating, collecting, and repurposing large, unstructured data sets in life sciences, geophysics, media, and manufacturing.
- They are collecting, storing, and analyzing more social and sensor-generated data about environments, products, customers, and transactions.
The promise of better and faster data-driven decision making based on all this information is pushing big data and analytics (BDA) technology to the top of executive agendas. To succeed, CIOs must place a laserlike investment focus on datacenter solutions that allow them to deliver scalable, reliable, and flexible infrastructure for fast-growing BDA environments. Read more to learn how!
Operational efficiency and cost savings. Datadriven business insights. Organizational agility and market differentiation. Enterprises in every industry are pursuing such gains, but they
cannot be achieved with a fragmented, siloed technology infrastructure.
Technological integration doesn’t happen overnight, of course. It takes years of behind-the-scenes teamwork and engineering—backed by decades of expertise, research, and development—to have a broad and lasting impact.
This special edition of Unleashing IT highlights the fruits of those labors, showcasing the unparalleled alignment of Microsoft, Cisco, and Intel technologies. In the following pages, you’ll read about the advancement and unique value of integrated solutions, spanning cloud environments, data centers, and management tools. You’ll also hear from organizations that are aking advantage of these converged technologies, including King County, Provincia Net, and Swinburne University.
Today's datacenter networks must better adapt to and accommodate business-critical application workloads. Datacenters will have to increasingly adapt to virtualized workloads and to the ongoing enterprise transition to private and hybrid clouds. Pressure will mount on datacenters not only to provide increased bandwidth for 3rd Platform applications such as cloud and data analytics but also to deliver the agility and dynamism necessary to accommodate shifting traffic patterns (with more east-west traffic associated with server-to-server flows, as opposed to the traditional north-south traffic associated with client/server computing). Private cloud and legacy applications will also drive
daunting bandwidth and connectivity requirements. This Technology Spotlight examines the increasing bandwidth requirements in enterprise datacenters, driven by both new and old application workloads, cloud and noncloud in nature. It also looks at how Cisco is meeting the bandwidth challenge posed by 3rd
Growth in data-driven business strategies give IT leaders both opportunity and challenges in building a roadmap for success. Download the white paper to learn more about critical considerations as IT leaders align and support changing business strategy with the right IT infrastructure roadmap.
A powerful signal integrity analysis tool must be flexibility, easy to use and integrated into an existing EDA framework and design flow. In addition, it is important for the tool to be accurate enough. This report reviews a validation study for the Mentor Graphics HyperLynx 8.0 PI tool to establish confidence in using it for power integrity analysis.