Value Stream Management and Value Stream Mapping – A complementary approach to delivering greater value through software

The emergence of Value Stream Management (VSM) as a concept applicable to software delivery signaled a change in the winds for traditional enterprises in a tech-driven world. Finally, “non-tech” organizations have a practice available that is focussed on extracting more business value from IT.

While the two “VSMs” are different concepts, they are not mutually exclusive. In fact, they’re complementary. To understand how both practices work, we need to define what they are and what they can do.

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Software development as it should be – Rediscover your passion for building great products

Instead of reveling in their passion for building great products, developers find themselves too often wasting countless hours on non-value adding work.

Countless meetings, logging in and out of tools to copy/paste information, rummaging through emails and chat threads, filling in timesheets - - everything but coding. Meanwhile the business and their management are on their backs; “Faster! Better! More!”

Such a high-pressure environment is a surefire way to kill your passion, turning your dream into a nightmare. It shouldn’t be like this, nor does it have to.

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Integration patterns: Architecting your value stream for speed and quality

As traditional enterprises struggle to transform in the Age of Digital Disruption and compete with tech giants and startups, the need to accelerate the flow of business value through software is now a critical business priority. Leading organizations, many of whom are in the Fortune 100, have taken key steps to architect their software delivery value stream around flow to successfully reduce the time to value of their software products.

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Securing Cellular Enterprise IoT Solutions

In the first steps on the road to digital transformation of the enterprise, a billion cellular IoT devices have already been connected worldwide. Yet this transformation is just getting going – billions more will follow and growth rates will remain high. This rapid growth of connected devices is not all plain sailing – it brings with it new challenges and new risks, particularly those associated with online security. In the midst of this, Aeris is bringing to market new solutions designed to assist IoT device manufacturers and solution providers address these security issues. These are outlined later in this report.

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The Internet Of Things For Business

The Internet of Things is hitting its stride. It is a critical enabler of digital transformation efforts happening around the globe. For consumers, businesses, and governments, IoT is playing an increasing role in how we consume information to make decisions and how we interact with the world around us. More than that, IoT also is changing how we personally experience our world―our daily interactions with our connected car, smart homes, and connected wearables make us digitally linked to the physical world in a way that would seem like magic to people living just 100 years ago.

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LTE-M – Advantages of Next Gen Connectivity

Many businesses are interested in the Internet of Things (IoT) thanks to the possible benefits of implementing IoT-ready devices, including the ability to streamline workflows and cut expenses. Yet few consider how these things will connect to a network to transmit data and receive information from outside sources in order to make accurate predictions.

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Leveraging Machine Learning to Secure Data

To defend your organization’s critical data against new malware threats like ransomware, you need innovative new technologies like machine learning (ML). Learn how ML-enhanced data protection works and how it can help.

Criminal hackers are churning out new malware threats faster that signature-based anti-virus software can keep up. The only way to defeat data-destroying attacks like ransomware is with counter-measures that can spot and terminate new threats on the fly.

Get a copy of this complimentary white paper for a quick tutorial on:

  • How ML can be used to analyze and identify even previously-unknown malware strains
  • How ML-assisted backup defeats ugly new threats like ransomware
  • How Acronis Backup with Active Protection uses ML to stop ransomware dead

Lethal new threats to your data require adaptive defenses with the responsiveness of machine learning. Learn how to builds yours with the help of this free white paper today.

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Acronis Machine Learning on guard of your data

Introduced in January of 2017, Acronis Active Protection is an advanced technology that uses sophisticated analysis to monitor your system for any erratic behavior and quickly stop it. While performing well in independent testing and earning accolades from the media, Acronis has worked diligently to make it even better. The result is an improved version that incorporates machine learning and artificial intelligence technologies.

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Cloud IQ Cloud Based Analytics and Machine Learning

Manage storage from anywhere and see the future of cloud-based storage management & analytics in this demo-filled session.

Download this webcast from Dell EMC and Intel® to learn more.

Intel Inside®. New Possibilities Outside.

Intel and the Intel logo are trademarks of Intel Corporation or its subsidiaries in the U.S. and/or other countries.

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Aeris IoT Launch Checklist

Your organization has decided to empower its growth through an Internet of Things (IoT) solution. How can you be successful in launching your first IoT deployment and then monetize it to scale?

You need a reliable, experienced partner with global connectivity, real-time visibility into your assets to improve maintenance and scheduling, as well as the ability to provide in-depth support — all from one comprehensive platform.

Your business needs require the ability to grow and develop in various locations. Therefore, your IoT platform has to insure the largest possible geo-coverage of countries and continents, along with the ability to develop services and enhance products seamlessly. The platform has to provide a superior combination of coverage and operational time, while offering a heightened level of security.

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Aeris Brief – Wi-Fi Cellular Hybrid

The Aeris hybrid solution seamlessly delivers the cost savings of Wi-Fi with the coverage and reliability benefits of cellular — in a single subscription. With a single platform for Wi-Fi / cellular provisioning, billing, reporting, diagnostics, and troubleshooting, the Aeris hybrid solution prevents carrier or technology lock-in, affording far more choices for your specific business needs.

It has been said that the choice for connectivity comes down to coverage and cost. It used to be that if you picked coverage, the cost was high. If you picked a more pocketbook-friendly alternative, your coverage suffered. No more.

Today, connectivity providers are able to present a hybrid amalgamation of cellular and Wi-Fi features, created to exploit the complementary powers of each technology.

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Aeris AerPort Product Sheet

Aeris AerPort is a comprehensive IoT Management platform. It offers provisioning of devices, billing, location and tracing capabilities, and access to customer support. Using the AerPort platform, companies can gain timely insights, proactively identify usage and billing issues, and take positive actions based on real-time data, thereby reducing the total cost of ownership.

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5-Minute Guide to Natural Language Processing

An Intelligent Search Interface Understands the User

When you search on Google, or with Siri, or Alexa, you can be sure that the system knows that when you say “NJ” you mean “New Jersey.” But when you search for something in the enterprise -- on SharePoint, or in Salesforce, or even across multiple systems, if you can do that - does the system recognize the intent of your search?

Is your enterprise search system smart enough to make a connection between “NJ” and “New Jersey”?

Natural Language Processing (NLP) is about understanding the meaning behind the text, interpreting the user’s request, and matching the answer to the intent.

Download the Five-Minute Guide to Natural Language Processing to learn how text analytics and NLP help cognitive search systems deliver intelligent answers that drive user adoption and improve productivity.

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The Cognitive Step – How Search Will Improve

According to a 2016 survey conducted by Findwise, fully 45% plan to replace existing search technology before 2019 and over half have search-communities that self-identify as dis-satisfied. Are your information consumers losing confidence and talking about change?

To operate successfully in a world where decisions are increasingly data-driven, you need to engage and reward consumers with new ways to find and discover. Fortunately, there is a path that helps a decision maker act with increasing certainty - with demonstrated time-to-value.

Download Attivio’s The Cognitive Step - How Search Will Improve for a comprehensive review of how search is evolving to be more cognitive. Focusing upon the central forces that will make search experiences better, this white paper explains why capabilities such as machine learning, natural language processing, and text analytics will make your organization more efficient and effective with information.

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