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
In July 2013 Acxiom commissioned Forrester Consulting to evaluate how companies use the data they collect from their customers to make better decisions on their marketing campaigns by gauging their experiences and attitudes around their use of and future vision for using customer data across multiple marketing channels. In order to understand this topic, we conducted interviews with 11 executives representing a range of roles and perspectives, including consumer packaged goods companies, financial services organizations, and agencies.
The cloud is a network of servers housing data, software, and services. Cloud services are commonly accessed via the Internet, instead of locally in a data center. Businesses are increasingly relying on the cloud for cybersecurity for two key reasons: 1. Due to a changing threat landscape, there’s a need for more scale, accuracy, experience, and collective intelligence. These resources are out of reach internally for most organizations. 2. There are fundamental limits with on-premises hardware mitigation appliances and enterprise data centers for Distributed Denial of Service (DDoS) and web attack protection.
As big data shifts away from a more theoretical concept (only adopted by those on the leading edge), the fun can really begin. How do you prepare for more information than you’ve ever collected before? How can you manage this information with the same standards you applied in the past? These are questions that are causing both IT and business sides to start actively preparing for – and implementing – big data.
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.
Big data evolution: forging new corporate capabilities for the long term is an Economist Intelligence Unit report, sponsored by SAS. It explores how far along companies are on their data journey and how they can best exploit the massive amounts of data they are collecting.
Technology leaders need to rethink strategic
planning in the age of the customer. Technology
strategies are too often just collections of loosely
related project plans and too focused on tech
project delivery milestones. Strategies designed
“by IT, for IT” fail to engage business leaders and
executives because they don’t explain how tech
strategy leads to better customer experience and
outcomes. This report explains how technology
leaders can create a strategic tech plan that is
customer-led, insights-driven, fast, and connected.
Published By: IBM APAC
Published Date: Jul 09, 2017
Organizations today collect a tremendous amount of data and are bolstering their analytics capabilities to generate new, data-driven insights from this expanding resource. To make the most of growing data volumes, they need to provide rapid access to data across the enterprise. At the same time, they need efficient and workable ways to store and manage data over the long term.
A governed data lake approach offers an opportunity to manage these challenges. Download this white paper to find out more.
Forward-thinking enterprises understand what it takes to be successful in this data-rich, increasingly automated economy. According to the Harvard Business Review Analytic Services research report The Rise of Intelligent Automation: TurningComplexity into Profit, sponsored by Oracle, at least 7 in 10 executives understand that predictive analytics (80%) and AI and machine learning (68%) are important for the future of the business.
Even as executives recognize the vital role data plays in their businesses, many are unable to take advantage of the value residing in their data. The old ways of collecting, managing, storing, and analyzing data are no longer effective, and are preventing businesses from extracting potential value. Many simply can’t execute on a data-driven vision.
Organizations are collecting and analyzing increasing amounts of data making it difficult for traditional on-premises solutions for data storage, data management, and analytics to keep pace. Amazon S3 and Amazon Glacier provide an ideal storage solution for data lakes. They provide options such as a breadth and depth of integration with traditional big data analytics tools as well as innovative query-in-place analytics tools that help you eliminate costly and complex extract, transform, and load processes.
This guide explains each of these options and provides best practices for building your Amazon S3-based data lake.
How are you balancing strong security and the customer experience? The European Union’s General Data Protection Regulation (GDPR) requirement is an opportunity to properly balance privacy and the user experience. Those who embrace it will distinguish themselves as a trustworthy and respectful custodian of their users’ data. Personal data plays an increasingly important part in providing the kind of appealing experience that brings users back time and time again. But, there’s a balance to be struck. Strong security is the best tool available for navigating the dichotomy between an appealing user experience and the risk posed by data breach; it allows the collection and management of personal data in line with the user’s expectations, and without jeopardizing the trust that is so important between them and you.
Published By: IBM APAC
Published Date: May 18, 2017
Today, everything computes. Intelligence has been infused into
things no one would recognize as computers: appliances, cars,
roadways, clothes, even rivers and cornfields. Tomorrow, many
of these things will think, thanks to breakthroughs in cognitive
computing. Even the things that don’t think themselves will
continue collecting and reporting the massive quantities of
data that feed cognitive systems.
Digitally, consumers today share knowledge and self-organize online, seizing more collective power than ever. This is the connected economy, where consumers rule. Learn the four trends businesses must learn to succeed in their reign.
Healthcare organizations are facing uncertain times, which are putting enormous strains on their revenue cycle management (RCM). Automation is proven to improve RCM measures, and even small improvements can significantly impact the bottom line. This whitepaper details how providers can embrace automation to help drive financial performance.
Children’s Mercy is not only one of the nation’s top pediatric medical centers, they have a strategy that improves organizational profitability in the face of constant change – all while delivering world-class care for their patients. Children’s Mercy accomplished what many have tried: integrating hospital and ambulatory revenue cycle activities with complete integration of all processes on a single IT platform.
Sharp is leading the way in the shift to shared risk. In this journey, they manage to the right financial metrics while still delivering appropriate care to their patient population. Watch the video to learn how GE Healthcare is helping Sharp make a difference.
The shift to value-based reimbursement (VBR) entails more financial risk for providers. Successful management of the transition to VBR can only be achieved when healthcare organizations are clinically and financially integrated to ensure tight care coordination and efficient resource utilization. That level of integration requires the aid of a robust IT infrastructure to support the enterprise. This whitepaper offers the opportunity to learn about new tools for healthcare providers to manage financial challenges associated with value-based reimbursement
This paper will explore some of the market dynamics driving the financial volatility in healthcare and will explore how advanced analytics, with the right IT backbone and organizational competencies, can help organizations successfully identify ways to manage revenue cycle profitability.
In today’s markets, customer identities and the personal data associated with them are among the most critical and valuable assets of any enterprise. Managing these digital identities — from first registration and login to the later stages of the customer relationship — and extracting business value from the associated data are complex tasks, commonly referred to as customer identity and access management (CIAM).
When implementing a system to collect, manage, and utilize digital identity and customer data, companies have two basic choices: in-house development or buying a dedicated solution from a vendor specialized in CIAM (i.e., build vs. buy).
Read this white paper for an in-depth analysis of CIAM implementation options, including:
? Must-haves for a successful, enterprise-grade CIAM system
? Pros and cons of implementation options, ranging from in-house software development to commercial off-the-shelf solutions
? A real-world case study that illustrates the ROI of an effective CI
LTI’s REDaxis Solution has helped a Global CPG Major attain Improved Cash Collection and Accounts Receivable Productivity by Identifying opportunity areas and enabled workflow-driven approach. It also helped in DSO reduction, reduced TCO and more than 40% productivity improvement.
As IT becomes the cloud, and ever more central to business success, projects to transform the IT systems, and more specifically the data center, have become strategic and a competitive differentiator. A crucial piece of the data center transformation puzzle, and one which is too often left until the end, is the network. As the central nervous system of the data center, its transformation must be an integral part of the entire data center transformation project.
THE FUTURE IS WHAT YOU MAKE IT. Juniper Networks creates innovative technologies to help customers connect their ideas, compete, and thrive in an ever-changing world. Partner with Juniper Networks and start creating the road map to your future-ready network.
VISIT JUNIPER.NET/UNITE TO START LOOKING TOWARD THE FUTURE, TODAY.
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