The document discusses 7 strategies for enterprises to survive disruptions from the nexus of forces in 21st century IT, including big data, cloud computing, mobile technology, and social media. These strategies are: 1) addressing big data challenges through improved information management and analytics, 2) adopting in-memory computing to improve data velocity, 3) embracing cloud computing while securing corporate data, 4) developing hybrid IT approaches using private and public clouds, 5) managing challenges from the growing Internet of Things, 6) achieving full integration across new IT deployments, and 7) leveraging platforms that integrate solutions to simplify operations.
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalCapgemini
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Who needs Big Data? What benefits can organisations realistically achieve with Big Data? What else required for success? What are the opportunities for players in this space? In this paper, Cartesian explores these questions surrounding Big Data.
www.cartesian.com
Cracking the Data Conundrum: How Successful Companies Make #BigData OperationalCapgemini
There is little arguing the benefits and disruptive potential of Big Data. However, many organizations have not fully embedded Big Data in their operations. In fact, our research shows that only 13% have achieved full-scale production for their Big Data implementations. The most troubling development is that most organizations are failing to benefit from their investments. Only 27% of respondents described their Big Data initiatives as “successful” and only 8% described them as “very successful”.
So, how can organizations make Big Data operational? There are many factors that go into the making of a successful Big Data implementation. However, the single biggest factor that we observed in our research was that organizations that have a strong operating model stood apart. This operating model has multiple distinct elements, which include, among others, a well-defined organizational structure, systematic implementation plan, and strong leadership support. For instance, success rates for organizations with an analytics business unit are nearly 2.5 times those that have ad-hoc, isolated teams. The report highlights the key factors for successful Big Data implementations.
Who needs Big Data? What benefits can organisations realistically achieve with Big Data? What else required for success? What are the opportunities for players in this space? In this paper, Cartesian explores these questions surrounding Big Data.
www.cartesian.com
As technology grows and evolves at an ever-increasing pace, sometimes just keeping up with what’s happening right now is a challenge. To make sure you’re ahead of the curve, Experts Exchange has done the research and examined the trends of users in order to provide a forecast of what to expect in 2015.
Based on findings from our annual survey of nearly 2,000 global technology professionals, the slideshare reveals data about increased usage in cloud computing, wearable tech, and localized apps. These findings will shed light on how this behavior is poised to transform business, culture and daily life in the coming months.
For more information and up-to-date stats, visit our blog at http://blog.experts-exchange.com
The Digital Transformation Symphony: When IT and Business Play in SyncCapgemini
Digital Masters, such as Starbucks, that leverage digital technologies effectively, differentiate themselves from their peers by consciously striving to build a close relationship between IT and the business. However, Digital Masters are exceptions. The IT-business relationship in most organizations is often a fractious relationship rather than a marriage of equals. Business teams often find the IT department’s high costs and long implementation timelines unacceptable. In addition, IT leaders are often faulted for not speaking the language of business. Leading CIOs take this disconnect head on and try and fix it. Our research shows that leading CIOs take three key actions to align the IT department with the needs of the business: 1. redesign the IT department to unlock digital innovation; 2. create strong digital platforms; 3. rationalize IT Infrastructure to fund digital initiatives. We explore each of these actions in this research paper.
The objective of this module is to provide an overview of what the future impacts of big data are likely to be.
Upon completion of this module you will:
Gain valuable insight into the predictions for the future of Big Data
Be better placed to recognise some of the trends that are emerging
Acquire an overview of the possible opportunities your business can have with Big Data
Understand some of the start up challenges you might have with Big Data
IT industry observers and long-time technology editors James Maguire and Chris Preimesberger share their predictions for enterprise IT in the year 2019. Hear their commentary at: http://bit.ly/2RZFhMA
The 2019 predictions cover artificial intelligence, Big Data, data center, cloud computing, and more.
Staying ahead in the cyber security game - Sogeti + IBMRick Bouter
Cyber security is center stage in the world today, thanks to almost continuous revelations about incidents and breaches. In this context of unpredictability and insecurity, organizations are redefining their approach to security, trying to find the balance between risk, innovation and cost. At the same time, the field of cyber security is undergoing many dramatic changes, demanding organizations embrace new practices and skill sets.
Cyber security risk is now squarely a business risk – dropping the ball on security can threaten an organization’s future – yet many organizations continue to manage and understand cyber security in the context of the it department. This has to change.
Over the last decade, cloud computing has transformed the market for IT services. But the journey to cloud adoption has not been without its share of twists and turns. This report looks at lessons that can be derived from companies' experiences implementing cloud computing technology.
Keeping pace with technology and big data.pdfClaire D'Costa
How IT companies can bridge the gap between ever-increasing talent needs and ever-changing technology?
In this pdf, you will get to know:
1- The technology's part in the play
2- The widening skills gap
3- Ways to fill up the void
4- Future of Big Data
5- Other useful insights
As technology grows and evolves at an ever-increasing pace, sometimes just keeping up with what’s happening right now is a challenge. To make sure you’re ahead of the curve, Experts Exchange has done the research and examined the trends of users in order to provide a forecast of what to expect in 2015.
Based on findings from our annual survey of nearly 2,000 global technology professionals, the slideshare reveals data about increased usage in cloud computing, wearable tech, and localized apps. These findings will shed light on how this behavior is poised to transform business, culture and daily life in the coming months.
For more information and up-to-date stats, visit our blog at http://blog.experts-exchange.com
The Digital Transformation Symphony: When IT and Business Play in SyncCapgemini
Digital Masters, such as Starbucks, that leverage digital technologies effectively, differentiate themselves from their peers by consciously striving to build a close relationship between IT and the business. However, Digital Masters are exceptions. The IT-business relationship in most organizations is often a fractious relationship rather than a marriage of equals. Business teams often find the IT department’s high costs and long implementation timelines unacceptable. In addition, IT leaders are often faulted for not speaking the language of business. Leading CIOs take this disconnect head on and try and fix it. Our research shows that leading CIOs take three key actions to align the IT department with the needs of the business: 1. redesign the IT department to unlock digital innovation; 2. create strong digital platforms; 3. rationalize IT Infrastructure to fund digital initiatives. We explore each of these actions in this research paper.
The objective of this module is to provide an overview of what the future impacts of big data are likely to be.
Upon completion of this module you will:
Gain valuable insight into the predictions for the future of Big Data
Be better placed to recognise some of the trends that are emerging
Acquire an overview of the possible opportunities your business can have with Big Data
Understand some of the start up challenges you might have with Big Data
IT industry observers and long-time technology editors James Maguire and Chris Preimesberger share their predictions for enterprise IT in the year 2019. Hear their commentary at: http://bit.ly/2RZFhMA
The 2019 predictions cover artificial intelligence, Big Data, data center, cloud computing, and more.
Staying ahead in the cyber security game - Sogeti + IBMRick Bouter
Cyber security is center stage in the world today, thanks to almost continuous revelations about incidents and breaches. In this context of unpredictability and insecurity, organizations are redefining their approach to security, trying to find the balance between risk, innovation and cost. At the same time, the field of cyber security is undergoing many dramatic changes, demanding organizations embrace new practices and skill sets.
Cyber security risk is now squarely a business risk – dropping the ball on security can threaten an organization’s future – yet many organizations continue to manage and understand cyber security in the context of the it department. This has to change.
Over the last decade, cloud computing has transformed the market for IT services. But the journey to cloud adoption has not been without its share of twists and turns. This report looks at lessons that can be derived from companies' experiences implementing cloud computing technology.
Keeping pace with technology and big data.pdfClaire D'Costa
How IT companies can bridge the gap between ever-increasing talent needs and ever-changing technology?
In this pdf, you will get to know:
1- The technology's part in the play
2- The widening skills gap
3- Ways to fill up the void
4- Future of Big Data
5- Other useful insights
Big Data for Marketing: When is Big Data the right choice?Swyx
Chief Marketing Officers (CMOs) without plans for Big Data may be putting themselves and
their companies at a competitive disadvantage. Big Data is already being widely deployed to enhance marketing responsibilities, although the small number of widely-touted success stories might be masking a significant number of failed implementations. When correctly planned and implemented, however, Big Data can create significant value for CMOs and their organisations. In this paper, we focus on describing specific examples of how Big Data can support CMO responsibilities and developing frameworks for identifying Big Data opportunities.
Big Data for Marketing: When is Big Data the right choice?Swyx
Chief Marketing Officers (CMOs) without plans for Big Data may be putting themselves and
their companies at a competitive disadvantage. Big Data is already being widely deployed to enhance marketing responsibilities, although the small number of widely-touted success stories might be masking a significant number of failed implementations. When correctly planned and implemented, however, Big Data can create significant value for CMOs and their organisations. In this paper, we focus on describing specific examples of how Big Data can support CMO responsibilities and developing frameworks for identifying Big Data opportunities.
Big Data Analytics Trends and Industry Predictions to Watch For in 2021Way2Smile
The fact that big data is going to change the face of major industries is widely accepted. But, what Data analytics trends should we watch out for? Let's find out!
Learn More at : https://bit.ly/2BOj4hD.
Big Data Trends and Challenges Report - WhitepaperVasu S
In this whitepaper read How companies address common big data trends & challenges to gain greater value from their data.
https://www.qubole.com/resources/report/big-data-trends-and-challenges-report
Top 10 Disruptive Big Data Trends for 2022Kavika Roy
https://www.datatobiz.com/blog/big-data-trends/
The global big data market revenue is projected to hit the 103 billion US dollar mark by 2027. With more than 2.5 quintillion bytes of data being generated daily it is more than safe to assume that Big Data is gearing up for changing the way we think.
Here are Top 10 Big Data Trends for 2022: Revolutionizing the Core of Modern Business Landscape
Data Mining: The Top 3 Things You Need to Know to Achieve Business Improvemen...Dr. Cedric Alford
While companies have been using various CRM and automation technologies for many years to capture and retain traditional business data, these existing technologies were not built to handle the massive explosion in data that is occurring today. The shift started nearly 10 years ago with expanding usage of the internet and the introduction of social media. But the pace has accelerated in the past five years following the introduction of smart phones and digital devices such as tablets and GPS devices. The continued rise in these technologies is creating a constant increase in complex data on a daily basis.
The result? Many companies don't know how to get value and insights from the massive amounts of data they have today. Worse yet, many more are uncertain how to leverage this data glut for business advantage tomorrow. In this white paper, we will explore three important things to know about big data and how companies can achieve major business benefits and improvements through effective data mining of their own big data.
Dr. Cedric Alford provides a roadmap for organizations seeking to understand how to make Big Data actionable.
The 4 Biggest Trends In Big Data and Analytics Right For 2021Bernard Marr
Big Data is a term that’s come to be used to describe the technology and practice of working with data that’s not only large in volume but also fast and comes in many different forms. For every Elon Musk with a self-driving car to sell, or Jeff Bezos with a cashier-less convenience store, there is a sophisticated Big Data operation and an army of clever data scientists who’ve turned a vision into reality.
Big Data; Big Potential: How to find the talent who can harness its powerLucas Group
Big Data is in its infancy but it holds great promise. The key to success is finding and keeping the talent with the skills necessary to obtain and analyze the data, ask the right questions, and present findings in a compelling fashion that makes sense for your organization.
From Automation System to Hyperconvergence - The Top Data Center Trends in Re...Comarch_Services
The beginning of 2016 was a promising period for data centers, filled with new drivers such as the power of Big Data and
new capabilities for analysis. What were the major trends in the data center industry during 2016? We try to identify and dive
a bit deeper into top data center issues and the technologies that have had the most significant impact on the sector in 2016.
Similar to 7 ways to Survive the Next Disruption of 21st Century IT (20)
CIOs and CFOs today are faced with increasing challenges. Businesses demand improved agility and scalability while reducing risk and complexity. At the same time, IT budgets keep decreasing and CFOs are under increasing pressure to balance budgets and maximize cash flow.
Today's IT needs to accomplish more with less. Virtualizing your IT infrastructure can save you 25% or more on your operating costs.
For forward-thinking business enterprises, virtualizing IT infrastructure has become standard practice. In fact, to stay competitive in a tepid U.S. economy, enterprises find it increasingly critical to innovate new ways to leverage their existing virtualization products and services. International Integrated Solutions, Inc. (IIS) prides itself on industry-leading innovation and proactive service, which will pave the way in a virtualized IT industry.
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In short, the HP Vertica Analytics Platform is a massively parallel database that includes the ability to perform analytics many times faster than legacy platforms. With this platform, hands-on IT professionals can load and query large data sets as many as 50 to 1000 times faster, which in return may help lower total cost of ownership over the long term.
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Epistemic Interaction - tuning interfaces to provide information for AI supportAlan Dix
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UiPath Test Automation using UiPath Test Suite series, part 3
7 ways to Survive the Next Disruption of 21st Century IT
1.
2. Page 2 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
Enterprises in the US must tackle a new paradigm of IT in 2013: a cloud-
oriented hybrid IT environment. Read on to reveal seven strategies
executives need to survive the next disruptive IT Paradigm Shift.
U.S. enterprises stand before a technological precipice, overlooking
an uncertain domestic and global economic landscape. Even after
the end of the Great Recession, its financial ripple effects continue to
propagate in unforeseen ways. IT departments face incredible market
pressures to answer the technological challenges of the 21st century.
The rise of cloud, mobile, social and Big Data culminates in what Gartner
consistently describes as the “Nexus of Forces”.
These four factors have collided in 2013, creating many opportunities for
enterprises poised to overcome the current economic malaise gripping
the US. According to Gartner’s recent predictions, market forces in 2014
alone will consume about 20% of the most prolific IT service providers
via mergers and acquisitions.
Thriving -- as opposed to merely surviving -- in the midst of such
economic uncertainty should be the goal of enterprises and C-level
executives in the US. Navigating the churning uncertainties of the Nexus
is a mission-critical priority in 2013 and beyond. Overly timid enterprises
that insist on remaining on the sidelines during the race to solve the
challenges spawned by the Nexus will be left behind.
The seven strategic trends and solutions discussed below will help
business executives survive the upcoming economic uncertainty and,
most importantly, position their enterprises to lead -- as opposed to
following in the footsteps of the bold who unearth opportunity among the
turmoil.
3. Page 3 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
Along with the continued acceptance of hybrid cloud solutions and
mobile device proliferation, Big Data promises to transform information
into a business-critical asset -- as opposed to a byproduct of increas-
ing volume, velocity and variety of data. If enterprises in the US are to
survive the oncoming crush of Big Data, CIOs must solve the dilemma of
information management.
Since 2011, the escalation of data volume -- both structured and un-
structured – has continued to push the boundaries of currently deployed
information management infrastructures. Silos of data are no longer ac-
ceptable if enterprises in the US hope to establish themselves as leaders
in Big Data solutions. Perhaps, the greatest value added asset of Big
Data remains the technology’s promise to yield data-driven insights into
business processes.
Today, CIOs are approaching a
tipping point in Big Data. One
sobering prediction from Gartner
suggests that by the end of 2015,
as many as 85% of companies will
have failed to deploy the proper
infrastructure to accommodate
Big Data projects. A new para-
digm in information management
is emerging as data warehouses
begin to approach critical mass;
some might say that this previous-
ly unheard of phenomenon has
already arrived.
The bright side of the Big Data
problem is that Gartner expects
companies that successfully fuse
mountains of data with an adapt-
able (i.e. hybridized and scalable)
information management infrastructure to outperform peers by as much
as 20%. The challenge is to quickly deploy the proper tool set that will al-
low more employees to focus on the analysis of the underlying data and
fewer on the architecting, deployment and management of the underlying
infrastructure. The fact of the matter is that social networking forces, the
Internet of Things and mobile proliferation all feed back into Big Data,
which only adds more pieces to the puzzle.
Tackling the problem of Big Data from the perspective of a metadata
management framework is gaining prominence. However, the most ur-
gent Big Data-related problem lies in the fact that there is a shortage of
individuals who possess the skill set to compile, cleanse and analyze Big
Data in a meaningful way.
BIG DATA
IS KEY
1
4. Page 4 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
Yet another sobering statistic from Gartner declares that enterprises
may only be able to fill one-third of available Big Data jobs by 2015. In
essence, Big Data will soon become so big that enterprises will struggle
to yield value-added business insights from astronomically huge data
sets. The infrastructure issue alone demands that enterprises adopt a
new paradigm of information management and analytics.
Techniques such as data mining, predictive analytics and visualization
are merely a starting point. Without a skilled data scientist or, more
realistically, a team of data scientists and data specialists, enterprises
will almost assuredly fall into the majority of companies that Gartner
expects to fail in solidifying information management practices for the
long term.
One of the overarching themes in analytics is to facilitate the transition
away from hindsight-oriented, reactive analytical practices and towards
predictive -- if not wholly prescriptive -- practices. Some proponents
of Big Data have already successfully monetized the insights gleaned
from accurate, actionable analytics. Pre-packaged Analytic Appliances
allow executives to perform faster time-to-data analytics than building a
custom analytics engine, which can take months and has a higher risk,
as well.
To prepare their organizations for the crushing tsunami of Big Data,
CIOs ought to vet products such as cloud computing services (both
private and hybrid), low-cost in-house storage initiatives and in-memory
processing, which may be one of the missing components of a new
analytics paradigm. Again, the scalability and alleged cost savings of
the cloud over the long term promises to play a crucial role in analytics
for years to come as in-memory computing technology matures over the
near term and enters mainstream IT.
ANALYTICS
GROWS IN
IMPORTANCE
2
5. Page 5 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
When searching for solutions to the problem of improving data velocity,
in-memory computing is essential. The concept of in-memory, near-
realtime computing is not new or cutting-edge. Large enterprises that
can afford to deploy state-of-the art hardware have already learned
how in-memory computing can crunch hours-long batch processes into
minutes-long -- or better yet, seconds-long -- tasks.
But in-memory computing
shows particular promise in the
discipline of aligning insights
gleaned from Big Data with
real-world business processes.
Similar to the issues of cloud
and mobile enterprise solutions,
business-oriented end users
continue to demand real-
time, automated access to
proprietary data. Appliances
that utilize in-memory
computing concepts are gaining
acceptance in a hybrid IT
environment; and enterprises
will continue to adopt in-
memory computing concepts to
solve the problem of Big Data
and its analysis.
The pace of adoption of in-memory technologies is on the cusp of a
surge in 2013. Gartner anticipates that reduced memory costs will lead
to a threefold increase in the acceptance of in-memory solutions by
2015. Until recently, cost has been the most prohibitive factor when
considering in-memory computing in the enterprise, but the expected
drop in hardware costs opens the door for more enterprises to take
advantage of the sheer processing and analytical power that in-memory
computing promises. SAP HANA is an example application that warrants
the deployment of in-memory computing concepts. Once again, the
problem of modifying or redeploying infrastructure to accommodate the
speed of in-memory computing is critical. To survive the next evolution
in computing and harness its incredible power, CIOs should identify key
business processes that could benefit from automated data processing
and deploy in-memory solutions accordingly.
IN-MEMORY
COMPUTING
3
6. Page 6 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
Cloud computing has been locked in the hype cycle for so long that it is
no longer a cutting-edge school of thought. The aggressive marketing
of cloud providers has created a certain amount of unease with cloud
computing in the enterprise. For companies with billions of dollars
at stake, cloud computing is not the silver bullet to slay the beast of
technological upheaval. Security, privacy and regulatory requirements
continue to be a major concern for enterprises pursuing cloud-based
strategies.
On the other hand, end users -- the ordinary professionals, which may
or may not have a deep understanding of the safety concerns of 21st-
century IT -- have embraced the cloud at a much faster pace than
enterprises as a whole. Gartner boldly predicted in 2012 that the use of
the personal cloud would supersede the use of traditional PCs by
2014.
The simple fact that the personal cloud continues to grow so quickly
means that CIOs will have to accept the likelihood of some corporate
data going to the cloud, if not in the wholesale mafnner foretold in 2012
by Gartner. Ready or not, personal cloud computing is here to stay for
the foreseeable future.
Even more troubling from a CIO’s
perspective, Gartner research
anticipates that by
2017, as much as 40% of corporate
contact data will be exposed via
mobile sharing on Facebook alone.
The sensitive nature of enterprise data
trusted in the hands of employees --
and, by extension, contained in their
many social networking accounts
-- demands that companies remain
aggressively proactive in order to
secure corporate data in the cloud.
While solutions such as HP Public
Cloud Services, HP CloudSystem and
Enterprise Security Solutions can help
enterprises stand up to the challenge
of cloud computing, CIO’s should nevertheless urge employees to
embrace the personal cloud and bring private cloud solutions to fruition.
Employees’ private cloud competence will ease operational disruption as
cloud services become more commonplace for all.
4GO TO
THE CLOUD
7. Page 7 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
As of the summer of 2013, no single solution, deployment or list of best
practices exists to allow escape from the vortex of the Nexus. The only
currently feasible solution to such an impossibly intertwined problem as
the Nexus is to develop a hybrid IT approach, which leverages private
and public clouds as required based on an enterprise’s business needs
and market pressures.
Hybrid IT is a conceptual framework that does not rely on any
one deployment. As of 2013, there are no solidified hybrid IT best
practices, and no single consultant exists who can solve the problem
of establishing a foolproof framework for hybrid architectures. CIOs
must be able to break through the fog obscuring hybrid IT concepts.
Proprietary solutions such as VMware Hybrid vCloud and Open Stack
Solutions such as HP Cloud System and HP Public Cloud Services can
both provide value to customers. Also, third parties with knowledge of
both can assist with positioning solutions relative to the specific hybrid
computing use case.
One example of a currently
available hybrid IT deployment
is IaaS for extending data center
agility in a scalable manner. Hybrid
rollouts can mean a lot of different
things to different stakeholders
as, in 2013, “hybrid” is more of a
school of thought that promises
leaner, more agile IT and improved
business agility, too. Enterprises
can now take advantage of
the alleged cost savings of on-
demand application improvements
and services optimized to
operate flexibly in a hybrid cloud
environment.
Executives should reconsider the use of hybrid IT today. First of all,
hybrid IT can potentially create a shift to improved operational expenses
as companies consume IT services as needed. The evaluation should
ideally fall along the lines of data constraints, workloads and real-time
business benefits. Governing such a system becomes the next concern,
which is why Gartner recommends that IT departments transform into a
services broker for the entire enterprise.
To narrow the focus even further, enterprises must carefully choose
which cloud services brokerage (CSB) is best based upon aggregation,
integration and level of customization available. Ideally, this services
brokerage would take place in-house, but as enterprises establish
clear baselines for interoperability among hybrid IT systems -- such as
software-defined networking in a cloud-oriented data center -- the use of
several third-party CSBs may be unavoidable.
HYBRID
COMPUTING
5
8. Page 8 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
The Internet of Things is another technological force that adds another
layer of complexity to the challenges created by the Nexus. Similar to
the impact of cloud computing in the enterprise, this evolution in IT
promises to disrupt even the most agile architectures. Many analysts
have commented on the nuances of the Internet of Things -- and by
extension IPv6 -- but the crux of the trend revolves around the current
mass influx of Internet-enabled sensor data. For instance, today a single
cross-country flight generates over 2 TB of sensor data.
Connected smart devices continue to expand the volume of data
available via the Internet. House sensors such as lighting controls,
thermostats and refrigerators change what end users can control
remotely -- often controlled with an inexpensive commercial smart phone
application. To leverage the expansion of Internet-enabled devices,
enterprises need to think through what innovations in mobile applications
and remote control of devices can guide their company through this
disruption. Mobile devices are already a business-critical asset as
end users demand more interoperability among and within enterprise
systems and applications, particularly when considering the issue of
auditing the effectiveness of BYOD practices.
With the rise of the Internet of Things, the problem of mobile device
management (i.e. the near-viral proliferation of smartphones and
tablets) becomes even more worrisome as data streams from billions of
temporospacial sensors, RFID technologies, wearable electronics and
myriad previously “dumb” machines compound the issue at hand: what
to do with the cosmic array of Web-based data that these devices will
create. Analysts already anticipate the Internet of Things to make the
mobile/remote device issue even more disruptive.
Accepting Gartner’s
predictions with a grain of
salt, wearable, Web-enabled
devices used in fitness and
medicine will create a $10
billion industry by 2016. Given
the anticipated breakthrough
of the Internet of Things in
the general healthcare arena,
managing risk is paramount
when developing long-term
strategies -- not only from
a liability standpoint, but
with respect to the ever-
present three-headed hydra
of security, privacy and
government regulations.
THE
INTERNET
OF THINGS
6
9. Page 9 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
From an enterprise-wide point of view, the growth of the Internet of
Things presents a unique opportunity to enhance and build new solutions
that take advantage of the ability to monitor and gather data remotely. In
particular, HP’s new HAVEn is a platform that can assist companies as a
platform to develop new applications leveraging data from a multitude of
sources.
If enterprises use the success of proprietary BYOD policies as a
benchmark, the forthcoming evolution of the Internet of Things demands
that companies take a second look at the mobile security issue. After
all, Gartner expects that in 2014 BYOD practices will enable malware
to compromise employee-owned devices at twice the rate of business-
owned devices. Adding millions of Internet-connected sensors and
devices to the challenge of mobile security only compounds the
challenges facing executives today.
Enterprises must continue to vet which security policies facilitate
business needs and which practices prove to be too restrictive. Here,
the problem of social networking steps forward as business personnel
expect improved mobile agility in the workplace, coinciding with the
perceived benefits of the public mobile/Internet of Things services that
employees already consume. To thrive, CIOs should take a closer look at
cloud computing as an enabler of mobile/Internet of Things solutions.
THE
INTERNET
OF THINGS
6
10. Page 10 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
In 2013, all aspects of a new enterprise IT deployment must work
together. If CIOs cannot achieve full integration, walled gardens of
operations within an enterprise will continue to bog down the proper
functioning of IT. Certainly, perfect integration is a myth, but full
integration is possible if enterprises keep an eye on the long-term
challenges of the Nexus.
For instance, Gartner expects application integration projects to spur a
33% increase in spending among medium to large-sized enterprises by
2016. This statistic coincides with the growth of hybrid cloud computing
solutions, social networking, mobile device management and Big
Data management and analytical tools. With respect to mobile device
solutions, data integration could consume as much as 20% of spending
on integration, according to Gartner’s long-term expectations.
To survive -- and thrive -- when striving to achieve full integration
throughout the enterprise and among strategic partners, CIOs must
consider the possibility that setbacks in integration can potentially derail
rollouts of externally sourced systems.
Here, the issue of integration and coordination among disparate cloud
providers steps to the fore once again. The entire purpose of hybrid IT
is to yield savings over the long term and increase enterprise agility,
so consistently delayed and over-budget integration projects may
cannibalize these two important cost benefits.
Enterprises should strongly consider deploying platforms such as HP
HAVEn which is fully integrated and supported as an appliance, software
defined data centers, high-powered appliances such as SAP HANA and
simplifying reference architectures. In short, enterprises in the US can no
longer afford to rely on best-in-breed or build-your-own practices.
A new IT paradigm is forming in 2013. In the near future, the challenges
of the Nexus will surely continue to grow in complexity and scale.
Enterprises must be able to survive the battle.
Cloud and hybrid IT can provide the right infrastructure if properly
deployed. In fact, the solutions to the problem of the mobile device/
Internet of Things phenomenon and Big Data directly relate to cloud-
oriented, hybrid IT environments, so analytics is critical to governing all
of these components. Simply modifying current infrastructure is not wise
for forward-thinking enterprises that wait for the turmoil to settle.
FULL
INTEGRATION
7
11. Page 11 of 11
7 Ways to Survive the Next Disruption of 21st Century IT
Enterprises should also take a serious look at in-memory computing and
the importance of full integration in 2013. Each of these technological
approaches can create opportunities to align the goals of IT with the
goals of business decision-makers.
In 2013, the state of IT in the US continues to take small steps forward
in the face of global economic upheaval. Enterprises that delay
implementing the seven strategies discussed above may not survive the
fray.
To thrive, enterprises should adopt bold yet ever-pragmatic hybrid IT
solutions in order to rise above the melee and lead. Armed with the skills
and expertise to navigate the disruptive IT paradigm shift, IIS assists
enterprises in deploying solutions to answer the challenges of the next
evolution of IT.
For more information, contact IIS to find out how today’s cloud, mobile,
Big Data and high-performance computing solutions can enable
industry-leading success.
FULL
INTEGRATION
7