Machine learning is all around us, from our smart home applications to driverless automobiles. The efficiency of automated decision-making is changing the game in cybersecurity, expanding the capabilities of humans by sifting through enormous quantities of data and presenting it as actionable intelligence.
Machine learning makes security teams better, and vice versa. Human-machine teams deliver the best of both worlds, allowing endpoint security to continually evolve to stop new attack tactics. Your team deserves the best that cybersecurity has to offer, and today the best endpoint security products leverage machine learning.
Published By: BlueData
Published Date: Mar 13, 2018
In a benchmark study, Intel compared the performance of Big Data workloads running on a bare-metal deployment versus running in Docker containers with the BlueData software platform. This landmark benchmark study used unmodified Apache Hadoop* workloads
Published By: Workday
Published Date: Mar 09, 2018
Workday has been recognized by global market intelligence firm, IDC, as a Leader in the
IDC MarketScape for Midmarket ERP applications. This report is a guide highlighting the most important
criteria for midsize companies to considers when selecting a system. Being named a Leader also
underscores the value that Workday brings customers ranging from mid-sized business to the world’s
In the end, the Dell EMC VMAX 250F with Intel® Xeon® Processor All Flash storage array lived up to its promises better than the HPE 3PAR 8450 Storage array did.
We experience minimal impact to database performance when the VMAX 250F processed transactional and data mart loading at the same time. This is useful whether you're performing extensive backups or compiling large amounts of data from multiple sources.
Intel Inside®. New Possibilities Outside.
When your company’s work demands a new storage array, you have the opportunity to invest in a solution that can support demanding workloads simultaneously—such as online transaction processing (OLTP) and data mart loading.
At Principled Technologies, we compared Dell EMC™ PowerEdge™ R930 servers1 with the Intel® Xeon® Processor Dell EMC Unity 400F All Flash storage array to HPE ProLiant DL580 Gen9 servers with the HPE 3PAR 8400 array in three hands-on tests to determine how well each solution could serve a company during these database-intensive tasks.
Intel Inside®. New Possibilities Outside.
Prevent unexpected downtime with reliable failover protection.
We interrupted access both local storage arrays - the Dell EMC database host seamlessly redirected all I/O to remote VMAX 250F with Intel® Xeon® Processor via SRDF/Metro with no interruption of service or downtime. The 3PAR solution crashed until the standby paths became active and we restarted the VM.
Traditional PC lifecycle management is an inefficient and expensive process that will cost your business both time and money.
Dell EMC can help you refresh your entire PC and technological ecosystem with latest hardware, software, peripherals and lifecycle services, including deployment, support and asset recovery. Our services and technology can reduce costs of PC lifecycle management by up to 25%. Learn more about Dell solutions powered by Intel®.
To keep your operations running smoothly, you need industrial printers that are ready for today, ready for tomorrow, ready for anything.
Zebra’s new ZT600 printers deliver next-generation power, intelligence and performance, in virtually any industrial environment. Building on the legacy of the legendary Xi™ Series, the ZT610™ and ZT620™ are built for best-in-class integration, deployment, management and maintenance:
• Link-OS® remote management and cloud capabilities give you complete visibility—anywhere, anytime.
• Secure cloud connections with advanced diagnostics let you scale up or down quickly and easily.
• Micro-consistent printing delivers high-quality labels as small as 3mm.
• Field-installable upgrades and flexible configuration options future-proof your set-up.
Rugged environments? Demanding applications? Unpredictable challenges? Keep your supply chains working at full tilt with full visibility, thanks to the brawn, brains and adaptability of Zebra’s new ZT600 printers.
Both are fueled by a drive for progress, for pushing
boundaries and advancing the status quo. In these fields,
new trends are like a currency. Keeping ahead of the
next big trend means being aware of the next big seller
and allocating all the right resources – fashion design,
manufacturing, and marketing – for maximum impact.
Miss the hype and the next fashion season is bound to
hurt the bottom line.
New trends are also important to marketers because
owning a new trend is a way to differentiate in today’s
fast-moving digital landscape. It’s a way to stand out
from the pack by investing strategically in the right
approaches and technologies at the right time, then
reaping the benefits organically by leading where others
follow. Naturally, making these decisions requires a bit
of trial and error. Nobody has a magic crystal ball that
guarantees success. But as a rule of thumb, the companies
winning in digital marketing are the ones willing to
adopt new technologies while keeping an sharp.
The General Data Protection Regulation – or GDPR – is a European
Union (EU) law that protects the rights of individuals with respect to
their data. Adopted as an EU law in April 2016, organizations that hold
data about any resident of the EU must be compliant by May 2018.
With attention-grabbing fines of €20 million or 4% of global annual
turnover, GDPR commands attention at the highest levels. And despite
the “legalese” that compliance suggests brands utilize, the brands that
balance legal compliance with a human approach will turn GDPR to
This white paper provides a series of actions you can take to make
the most of GDPR to both enhance your customer relationships and
What does it take to be relevant today? In the era of hyper-connectivity, consumers
have become entitled, demanding more control over their experiences and
expecting that marketers use data and insights to create a seamless, relevant brand
experience. Research shows that communications containing relevant information
and offers are the best drivers of brand loyalty and conversions
Context can make or break the communication – and, ultimately, the relationship – between
a consumer and a brand. Today’s consumers expect relevant communications that speak
directly to their needs in the moment. We have the technology today to deliver such messages –
but there are significant barriers to developing relevant, contextual programs of this kind.
Some of the development challenges represent new versions of old challenges. Take data as an
example: it has always been hard to harness data from different sources and to leverage insights in
real time. But today, there are additional opportunities – if not expectations – for marketers to use
contextual data to better reach and engage customers through the optimal channel(s).
Among all the trends and buzzwords currently shaking up the marketing industry, one concept is emerging as the one
to watch: customer experience (CX). Providing individual customers with the best possible experience is becoming the
top priority at the moment, even to the point where experience outshines product quality(!) as the main differentiator.
This is confirmed by a recent Gartner1
survey, in which 86 percent of participating companies listed customer experience
as the main factor for gaining a competitive advantage, compared with merely 36 percent in 2012.
20% of customers will be responsible for 80% of profit – or
so says The Pareto Principle, also known as the “rule of the
vital few.” So, while marketers are trying hard to increase market
share, they should be equally (or even more) concerned about
nurturing the customer relationships they already have. That
means finding ways to strengthen bonds with your best
customers and figuring out how to turn good customers into
Personalization, truly helpful support, data-driven contextual
marketing, re-engagement strategies, gamification… There’s
an almost overwhelming number of options out there, each
touted as your golden key to an enduring bond with your users.
In the pages that follow, you’ll learn about five strategies to drive
engagement and retention with actionable tips from Selligent
clients – top brands that are at the forefront of creating and
sustaining customer loyalty.
SQL is a critical skill for business intelligence. From accessing to transforming to reporting on data, SQL gives you the power to get the job done. It can help you discover exactly how your company is performing, what your customers are doing, or how people have reacted to your marketing campaigns.
Unfortunately, while SQL can tell you what has happened, it can’t tell you what will happen. What if you have questions like:
• How valuable is a lead based on company attributes and their behavior on our website? • How much MRR will we generate in the next 30 days? • Which customers are likely to churn next month?
Information on artificial intelligence (AI) is flooding the market, media and social channels. Without doubt, it’s certainly a topic worth the attention. But, it can be difficult to sift through market hype and grandiose promises to understand exactly how AI can be applied in practical and reliable solutions. Like most technological advances, incorporating new technology into business processes requires significant leadership and effective direction that all stakeholders can easily understand.
Today's artifical intelligence (AI) solutions are not sentient in the manner popularized in science fiction by scores of self-aware and typically nefarious androids. Even so, the ability to arm such systems with the ability to directly sense and respond to their in situ environment is critical. Why? In the future, our experiences will be smart, intuitive and informed by analytics that are not seen
but felt via new business, personal and operational engagement models. Enabling this interaction requires AI applications that can sense, analyze and respond to their environment in an intelligent
and interactive manner. Without requiring the end user to write, understand or interpret code.
“Sensitive” artificial intelligence enables:
• More productive use of expanded (big, often unstructured) information sources
• Intuitive man-machine interactions (no code-speak here!)
• Adaptive, immersive experiences and environments
As frequently touted on the nightly news, AI’s popularity is clear. Ho
There is a lot of excitement in the market about artificial intelligence (AI), machine learning
(ML), and natural language processing (NLP). Although many of these technologies have been
available for decades, new advancements in compute power along with new algorithmic
developments are making these technologies more attractive to early adopter companies. These
organizations are embracing advanced analytics technologies for a number of reasons including
improving operational efficiencies, better understanding behaviors, and gaining competitive
This interview survey explores enterprise readiness for artificial intelligence (AI). Respondents came from across EMEA and from a number of industries and sectors. Their views on AI and their organisations’ levels of readiness were diverse. Download this whitepaper to learn more!
Machines learn by studying data to detect patterns or by applying known rules to:
• Categorize or catalog like people or things
• Predict likely outcomes or actions based on identified patterns
• Identify hitherto unknown patterns and relationships
• Detect anomalous or unexpected behaviors
The processes machines use to learn are known as algorithms. Different algorithms learn in different ways. As new data regarding observed responses or changes to the environment are provided to the “machine” the algorithm’s performance improves. Thereby resulting in increasing “intelligence” over time.
What management and leadership challenges will the next wave
of analytic technology bring? This Insight Center on HBR.org went
beyond the buzz of what artificial intelligence can do, to talk about
how it will change companies and the way we manage them.
With decisions riding on the timeliness and quality of analytics, business stakeholders are
less patient with delays in the development of new applications that provide reports, analysis,
and access to diverse data itself. Executives, managers, and frontline personnel fear that
decisions based on old and incomplete data or formulated using slow, outmoded, and limited
reporting functionality will be bad decisions. A deficient information supply chain hinders quick
responses to shifting situations and increases exposure to financial and regulatory risk—putting
a business at a competitive disadvantage. Stakeholders are demanding better access to data,
faster development of business intelligence (BI) and analytics applications, and agile solutions in
sync with requirements.
Business intelligence has come a long way ? from assistance with report generation to self-service platforms for discovery and analytical
insight. As technological capabilities and business aptitude with information continue to advance, the next generation of BI will be even
more capable and valuable to the enterprise. To discuss today’s success factors and tomorrow’s opportunities, IIA spoke with Rick Styll,
Senior Manager, Visual Analytics Product Management at SAS, and Tapan Patel, Principal Product Marketing Manager at SAS.
Known for its industry-leading analytics, data management and business intelligence solutions, SAS is focused on helping organizations use data and analytics to make better decisions, faster. The combination of self-service BI and analytics positions you for improved productivity and smarter business decisions. So you can become more competitive as you use all your data to take better actions. Instead of depending on hunch-based choices, you can make decisions that are truly rooted in discovery and
analytics. And you can do it through an interface that anyone can use.
At last, your business users can get close enough to the data to manipulate it and draw their own reliable, fact-based conclusions. And they can do it in seconds or minutes, not hours or days.
Equally important, IT remains in control of data access and security by providing trusted data sets and defined processes that promote the valuable, user-generated content for reuse and consistency. But, they are no longer forced