Technology transitions—such as cloud, mobility, big data, and the Internet of Things—bring together people, processes, data, and things to make resources and connections more valuable to your business. They also challenge the role of IT in the enterprise. For your IT department to stay relevant to your lines of business, it must deliver value faster and invest in innovation. Cisco Unified Computing System (Cisco UCS) integrated infrastructure makes it possible to deliver Fast IT—a new IT model that transforms your data center infrastructure into an environment that is fast, agile, smart, and secure. You can break down the IT barriers that are holding your business back and create solutions that capture the value of new connections and information.
What do these market-defining trends have in common?
· Analytics for all
· Analytics as competitive differentiator
· Internet of Things
· Artificial intelligence/Machine learning/Cognitive computing
· Real-time analytics/event management
They all rely on data – timely, accurate data delivered within an insightful context – to deliver value. The question is: who in the enterprise is most qualified and prepared to help deliver on the vision and values of the data-driven enterprise?
It’s going to take a special type of professional to deliver that value to enterprises. Organizations are seeking professionals to step forward and take the lead, provide guidance and lend expertise to move into the brave new world of digital. The move to digital and all that it entails – sophisticated data analytics, online customer engagement and digital process efficiency – requires, above all, the skills and knowledge associated with handling data and turning it into insights. The move to digital i
According to a recent study, “76 percent of marketers said marketing had changed more in the last two years than in the previous fifty.”1 From apps like Uber and Airbnb that reengineer entire markets to mobile, omnichannel commerce, virtual reality, and the Internet of Things, marketing is being built anew.
According to a recent study, “76 percent of marketers said marketing had changed
more in the last two years than in the previous fifty.”1
From apps like Uber and
Airbnb that reengineer entire markets to mobile, omnichannel commerce, virtual
reality, and the Internet of Things, marketing is being built anew.
For manufacturers, this IDC white paper examines the current and
future Internet of Things (IoT) imperative for the following discrete manufacturing industries: automotive, aerospace and defense, high tech, and industrial machinery. We highlight IoT-enabled scenarios — those possible both now and in an Industry 4.0 future with smart manufacturing. (IDC defines IoT as a network of uniquely identifiable endpoints or “things” that communicate without human interaction using IP connectivity.) These scenarios more tightly integrate “things” with other information, processes, and even value chains. Further, we demonstrate how companies in these industries leverage technology to create business value today and disruptive opportunities tomorrow.
The global electronics industry is the cornerstone of
the digital economy and the Internet of Things (IoT).
Electronic devices act as conduits for users’ digital
experiences, which are now seamlessly enabled and
updated in the cloud. The industry’s digital device
success has also introduced its latest challenge: going
beyond the device. Leveraging data to drive insights is
key to delivering greater value. Doing so requires
electronics firms to flawlessly integrate hardware,
software, services and data while learning from and
adapting to users. Through Digital ReinventionTM, they
can combine digital approaches and data by design to
drive new capabilities, changing business from the
Published By: Riverbed
Published Date: Jan 25, 2018
This Enterprise Management Associates® (EMA™) research summary, sponsored by Riverbed®, highlights some of the key findings of EMA’s landmark report, “Network Management Megatrends 2016: Managing Networks in the Era of the Internet of Things, Hybrid Cloud, and Advanced Network Analytics.” It examines several major areas of change and evolution affecting network management. These “megatrends” include hybrid cloud networking, the Internet of Things (IoT), advanced network analytics, network management outsourcing, and network management tool consolidation.
A fundamental people-process-technology transformation enables businesses to remain
competitive in today’s innovation economy. Initiatives such as advanced security, fraud detection
services, connected consumer Internet of Things (IoT) devices, augmented or virtual reality
experience, machine and deep learning, and cognitively enabled applications drive superior
business outcomes such as predictive marketing and maintenance.
Superior business outcomes require businesses to consider IT a core competency. For IT, an
agile, elastic, and scalable IT infrastructure forms the crucial underpinning for a superior service
delivery model. The more up to date the infrastructure, the more capable it is of supporting the
scale and complexity of a changing application landscape. Current-generation applications must
be supplemented and eventually supplanted with next-generation (also known as cloud-native)
applications — each with very different infrastructure requirements. Keeping infrastructure up
Last year at this time, we forecast a bumpy ride for infosec through 2017, as ransomware continued to wreak havoc and
new threats emerged to target a burgeoning Internet of Things (IoT) landscape. ‘New IT’ concepts – from DevOps to various
manifestations of the impact of cloud – seemed poised to both revolutionize and disrupt not only the implementation of
security technology, but also the expertise required of security professionals as well.
Our expectations for the coming year seem comparatively much more harmonious, as disruptive trends of prior years
consolidate their gains. At center stage is the visibility wrought by advances in data science, which has given new life to threat
detection and prevention – to the extent that we expect analytics to become a pervasive aspect of offerings throughout the
security market in 2018. This visibility has unleashed the potential for automation to become more widely adopted, and not
a moment too soon, given the scale and complexity of the thre
Published By: B Channels
Published Date: Apr 27, 2018
We understand how IIoT (IoT Segment) solutions are designed and delivered through discrete ecosystems, we are able to work with IIoT vendors to identify routes to market, align programs, and partner engagements. We identify, recruit and nurture IIoT ecosystems that drive IIoT sales and delivery
Published By: B Channels
Published Date: May 01, 2018
bChannels has years of expertise in defining, building and delivering partner ecosystems. We have invested in understanding and developing discrete IOT ecosystem capabilities. Our solutions help our clients plan and deliver scalable loT by showing an understanding of their market segments, then delivering on designing effective programs. We are adept at finding and engaging partners in loT segments by finding, nurturing and growing partner ecosystems.
Published By: B Channels
Published Date: May 01, 2018
The Industrial IoT market is estimated to reach $123.89 Billion by 2021. Successful IIoT design and build requires tech and installer skills and products from many vendors. It also needs a Vendor / Aggregator marketplace and ecosystem for customer and partner access at scale. Vendors are looking for IoT consultative skills from channel partners today.
Published By: T Systems
Published Date: Nov 28, 2018
The wait is over. Here at T-Systems, we are proud to present the findings of CXP Group - a leading independent European research and advisory firm in the field of digital, software and IT services. Their new “Digital Industrial Transformation with the Internet of Things” report examines the dynamic range of opportunities that IoT holds for businesses and explores the challenges of integrating existing data processes with those that are IoT enabled.
The report is the result of the feedback cultivated from interviews with senior business and IT decision-makers responsible for creating and running innovation strategies at 250 large-scale European manufacturers. The data has been disseminated by region, strategies, pain points, IoT adoption, intention, investment etc. and provides readers with a detailed examination of what industrial businesses look for most from IoT.
The report provides a fascinating unearthing of influencing factors for IoT readiness and digitization as a whole. Using
Cloud services are a pillar of a digital transformation,
but they have also become a thorn in the side of many
security architects. As data and applications that were
once behind the enterprise firewall began roaming
free—on smartphones, between Internet-of-Things
(IoT) devices, and in the cloud—the threat landscape
expanded rapidly. Security architects scrambled to adjust
their technologies, policies, and procedures. But just
when they thought they had a handle on securing their
cloud-connected enterprises, new business imperatives
indicated that one cloud wasn’t enough.
Modern enterprises operate in a multi-cloud world,
where the threat landscape has reached a new level of
complexity. Security teams are juggling a hodgepodge
of policies, threat reports, and management tools. When
each cloud operates in its own silo, the security architect
has even more difficulty supporting the CISO or CIO with a
coherent, defensible security posture.
When it comes to securing all the parts of a modern distributed network, endpoints remain
the most vulnerable outlier. Mobility has brought a flood of different devices that cross in and
out of enterprise networks on a daily basis. This public exposure, combined with inadequate
traditional endpoint security and a high degree of user autonomy, makes these devices
prime targets for malware infections and other forms of sophisticated attack that seek to
exploit the broader organization. And threat actors are finding enormous success along
To stay competitive, most organizations are currently embracing digital transformation
(DX)—including cloud services, smart Internet of Things (IoT) devices, and greater mobility.
These adaptations provide organizations with faster and more seamless access to critical
information, regardless of the device being used to access it. However, as distributed
networks expand and become more difficult to manage, the endpoint remains a weak link i
Published By: Dell EMC
Published Date: Oct 08, 2015
Download this whitepaper to learn how Dell can help you realize the full value of your big data strategy—and to capitalize on all of your data, from enterprise systems to social media and the Internet of things.
The Internet of Things (IoT) didn’t just connect everything everywhere; It laid the groundwork for the next industrial revolution.
Connected devices sending data was only one achievement of the IoT—but one that helped solve the problem of data spread across countless silos that was not collected because it was too voluminous and/or too expensive to analyze.
Now, with advances in cloud computing and analytics, cheaper and more scalable factory solutions are available. This, in combination with the cost and size of sensors continuously being reduced, supplies the other achievement: the possibility for every organization to digitally transform.
Using a Smart Factory system, all relevant data is aggregated, analyzed, and acted upon. Sensors, devices, people, and processes are part of a connected ecosystem providing:
• Reduced downtime
• Minimized surplus and defects • Deep insights
• End-to-end real-time visibility
The Internet of Things (IoT) presents an opportunity to collect real-time information about every physical operation of a business. From the temperature of equipment to the performance of a fleet of wind turbines, IoT sensors can deliver this information in real time. There is tremendous opportunity for those businesses that can convert raw IoT data into business insights, and the key to doing so lies within effective data analytics.
To research the current state of IoT analytics, Blue Hill Research conducted deep qualitative interviews with three organizations that invested significant time and resources into their own IoT analytics initiatives. By distilling key themes and lessons learned from peer organizations, Blue Hill Research offers our analysis so that business decision makers can ultimately make informed investment decisions about the future of their IoT analytics projects.
One of the value propositions of an Internet of Things (IoT) strategy is the ability to provide insight that was previously invisible to the business. But before a business can develop a strategy for IoT, it needs a platform that meets the foundational principles of an IoT solution. Amazon Web Services (AWS) believes in some basic freedoms that are driving organizational and economic benefits of the cloud into businesses. These freedoms are why more than a million customers already use the AWS platform to support virtually any cloud workload. These freedoms are also why AWS is proving itself as the primary catalyst to any Internet of Things strategy across commercial, consumer, and industrial solutions.
This paper outlines core tenets that should be considered when developing an IoT strategy, the benefits of AWS in that strategy and how the AWS cloud platform can be the critical component supporting those core tenets.
Organizations operating in the retail financial services sector – banks and insurers – need to work smart and fast to keep pace with the increasing demands of their customers. We may have a 24/7 love affair with our smartphones but it is clear that in the future we will be sharing information and making payments via fitbands, cars, TVs and white goods, as the Internet of Things fuses the physical and digital worlds. For incumbent banks and insurers, the challenge will be to leverage the possibilities of this new hyper-connected world to embed themselves in their customers’ daily lives. They need to change the way operate, which includes how they market, engage and communicate with their customer base. This will be a key defense against the growing ranks of digital newcomers seeking to disrupt and dislodge incumbents through an array of innovative and smart new offers. However, too many are moving too slowly, either from an excess of caution or complacency. This report should serve as a
Digital transformation has fundamentally disrupted global manufacturing. It’s not just a single technological advancement; it’s a full range of emerging technologies that are revolutionizing the industry. Social, mobile, Big Data, analytics, cloud, and the Internet of Things are re-defining every organization’s operating models. Within the next decade, many manufacturers will find themselves managing operations that are virtually unrecognizable from the past century.
The rapid rise of digital business is moving public key infrastructure (PKI) into the spotlight. Once commonly viewed as a deep-weeds technology reserved for niche applications, PKI is now emerging as a core technology for securing cloud, mobile and Internet of Things (IoT) initiatives.
Everything is changing in retail. Stores are becoming an omni channel experience; fulfilment and service centers and smart showrooms are enabling endless-aisle commerce. eCommerce and mobile customer experiences are changing retail, as retailers are now entering the third generation of ecommerce, in which IDC identifies eight core capabilities at the heart of the transformation of key operating models. Omni-channel fulfilment practices and new merchandise planning archetypes are emerging to drive profit, and retail technology is fundamentally changing, as digital transformations take shape in the industry. Websites, smartphones, the Internet of Things (IoT), and wearables change customers and their journeys, while 3D printing changes value chains and products, while IoT changes products, stores, and logistics, and artificial intelligence (AI), probably the most pervasive agent of change, will underpin new levels of customer individualization and workforce efficiencies.