Historically, manufacturers have “looked to the past” to help predict what they need to do in the future. This would include basic business intelligence, powered by spreadsheets, and even manual processes. The challenge is that what will happen may be something outside of what the past can predicts – who, 25 years ago, would have considered the Internet as a primary vehicle for commerce, or that Big Data would become both a treasure and a tragedy for organizations? Consider other factors, such as regulations, largely transient customers (where loyalty and brand aren’t what they used to be), disruptors (such as new entrants and technologies), and the need for manufacturers to “move faster than ever” – in effect, to be able to plan for the future before it happens.
Published By: MuleSoft
Published Date: Jan 25, 2016
IT used to be so simple. Companies owned their own technology equipment and purchased enterprise licenses for many of the applications anybody in the organization might care to use. But then the cloud emerged, and mobile, and social media, and IoT; the world of IT has never been the same. Today's businesses are software-driven enterprises with technology capability distributed throughout the company, utilizing countless third-party cloud-based applications. This new organization requires an cultural shift in the IT organization.
Read this whitepaper to learn:
-How businesses can reorganize themselves into lightweight, agile, modular businesses able to respond to innovations in SaaS, mobile, and analytics
-How to build a technological architecture that can accommodate new technology yet still extract value from on-premises systems
-The advantages of an API-led connected architecture vs. old SOA approaches
Published By: MuleSoft
Published Date: Apr 13, 2016
Every corner of an enterprise needs technology to build new applications for their specific function or customer. IT needs to transform from its traditional function as the sole technology provider to become an adaptive, responsive and nimble organization that can keep up with the pace of the digital era as well as embrace the opportunities provided by a change-driven environment. This transformation can occur only if IT transforms itself into a strategic business enabler rather than a centralized technology function.
Being an enabler means that IT has to decentralize and democratize application development and data access to the different Lines of Business (LoBs) and functional business partners. This way, IT can concentrate on a partnership with the business - i.e. providing a set of strategic and consistent assets and technology.
Published By: MuleSoft
Published Date: Apr 13, 2016
Today everything truly is connected to everything, and APIs are the connection mechanisms. Many companies are finding that their use of APIs has accelerated over the past 12 months, and that it will continue to accelerate during the next 12 months. APIs aren't really a new technology; they've actually been around for a long time. What is new is that they are in far broader usage today than they have been in the past. As of late 2015, the
ProgrammableWeb API directory listed more than 14,000
When thinking about designing and managing APIs, a number of important questions arise. Why are APIs so well used and what effect would they have on your business? What is the impact of the expanding API economy on both providers and consumers? What are API tools and how can an investment in tools be an extremely cost efficient foundation for production grade API use cases?
Current Identity Governance and Administration (IGA) solutions have optimized heavily for complete customization, leaving customers with full flexibility in designing rules and workflows. The problem is that it takes these solutions too long to deploy, at too high a cost, and rarely do they deliver on the ROI that was originally anticipated. Okta believes there is a better way, and a way to reach a much broader set of organizations, by building a cloud-based IGA product that is optimized for out-of-the-box capability and is easily configurable.
Restoring connections: How telecommunications providers can reboot the customer experience
IBM has more than 22,000 experts working in the Telecommunications industry, delivering solutions to more than 200 major communications service providers globally. IBM’s telecommunications capabilities are backed by a global network of telecom solution labs, research labs and innovation centers to support its offerings in the area of analytics, cloud, mobility, network optimization, digital transformation and global integration. IBM continues to invest significantly in key acquisitions to add expertise and capabilities that enable its clients in the telecommunications space.
Published By: Genesys
Published Date: Feb 27, 2018
PureCloud was designed to simplify the way you manage customer relationships. It’s powerfully simple, fast and intuitive. But you don’t have to take our word for it. Get a better look at the benefits and tools of Genesys PureCloud in a new report by Nucleus Research. For their study, Nucleus examined past and current customer experiences, breadth of functionality and results of use.
From rapid cloud deployment to rolling software updates, PureCloud enables best-in-class customer experiences today and well into the future. Read the full report to learn more about:
• PureCloud tools like automated omnichannel routing, social channel management, outbound dialing, integration with other software and analytics and reporting.
• Benefits of the platform such as lower costs, increased flexibility, improved time to value, and better workforce optimization.
• Current customer success stories and the future of PureCloud.
Amazon EC2 Reserved Instances can appear complicated, but finding a solution that best suits your company doesn't mean becoming an expert yourself; you just need to know how to approach Reserved Instances and where they can make the biggest impact.
This free guide delivers a collection of proven best practices to help you successfully manage Amazon EC2 Reserved Instances. The benefits include:
-A breakdown of reservation types and offerings, including Convertible Reserved Instances
-How to calculate the payback period
-How to modify and exchange existing reservations to match cloud usage over time
-How to maximize savings with automated RI management and optimization
Govern Your AWS Environment with Automated Policies
If you manage a dynamic cloud environment, you already know that managing your assets and dealing with continuous changes is time consuming.
Centralize governance across your AWS environment, and enable policies across areas like:
• Asset & Configuration Management
• Financial Management
• Cost Optimization
• Performance Management
Read this eBook to learn the best practices for policies that you must put in place to reduce the time it takes to optimize and manage your infrastructure.
This eBook takes you on a journey to outthink content chaos and discover how your industry can gain real value from your business content. Read how industry leaders are reflecting on the important challenges they face, and how they are finding innovative ways to collaborate and extract value from all forms of content to outpace those obstacles. Learn how cognitive and cloud-based Enterprise Content Management, or ECM, can help you protect your content while gaining a competitive advantage from it, improving business performance and ROI.
An investment firm is only as good as its data and its ability to leverage that data to make smart trades. A firm’s ability to differentiate itself in meeting market needs and bringing new products to market all hinge on its ability to squeeze maximum value out of all available data. But when it comes to implementing the right technology and processes to support a data-reliant business, those three factors present tremendous challenge
IBM DB2 with BLU Acceleration helps tackle the challenges presented by big data. It delivers analytics at the speed of thought, always-available transactions, future-proof versatility, disaster recovery and streamlined ease-of-use to unlock the value of data.
Flexible deployment options, licensing models help take the challenges out of change. As you move toward the cloud, you're likely planning or managing a mixed environment of on- premises and on- cloud applications. To help you succeed in this transition, you need a trans-formative, mixed-workload database that can handle a massive volume of data while delivering high performance, data availability and the flexibility to adapt respond to business changes.
The data quality tools market continues to show strong revenue growth, driven by cost, process optimization and digital business initiatives. Applying data quality tools to existing and emerging business scenarios will enable data and analytics leaders to deliver greater business value.
Web apps once thought impossible due to scale, complexity, or because they simply couldn’t be imagined, are now a reality with the cloud. In this guide, we’ve explored the Azure App Service and highlighted Azure’s support for platform as a service (PaaS).
We’ve shown you how you can take an existing website backed by a SQL Server database and move it to the cloud. You’ve seen how you can easily add features such as identity management and caching to your web app. You’ve also learned that you can enable rich application monitoring with a few clicks.
The enterprise data warehouse (EDW) has been at the cornerstone of enterprise data strategies for over 20 years. EDW systems have traditionally been built on relatively costly hardware infrastructures. But ever-growing data volume and increasingly complex processing have raised the cost of EDW software and hardware licenses while impacting the performance needed for analytic insights. Organizations can now use EDW offloading and optimization techniques to reduce costs of storing, processing and analyzing large volumes of data.
Getting data governance right is critical to your business success. That means ensuring your data is clean, of excellent quality, and of verifiable lineage. Such governance principles can be applied in Hadoop-like environments. Hadoop is designed to store, process and analyze large volumes of data at significantly lower cost than a data warehouse. But to get the return on investment, you must infuse data governance processes as part of offloading.
Published By: LogMeIn
Published Date: Feb 27, 2018
Customer service organizations are struggling to react to the pace of innovation and the explosion of channels and devices. To get ahead of these challenges, AD&D pros must deeply invest in automation — automated answers, automated conversations, automated agent guidance, and automated end-to-end processes. They must also invest in intelligence to ensure automated technologies evolve and learn from prior interactions over time.
Automation and intelligence quell the headcount increases. They will free agents from working on low-value or repetitive tasks, as they will only have to address highly complex customer scenarios or exceptions to standard operations. This also enables them to focus on building connections with customers to garner their satisfaction and loyalty.
Published By: Oracle OMC
Published Date: Jul 16, 2018
When something’s shattered, can it be stitched back together? With the right tools, yes it can. Discover how you can assemble an end-to-end experience that will blaze a path straight to purchase. Your customers will be hooked.
Published By: TeamQuest
Published Date: Sep 05, 2014
TeamQuest Director of Market Development Dave Wagner and Chris Lynn, Safeway's Capacity Manager and Performance Analyst, cover the application of automatic, exception-oriented analytics to a wide variety of IT and business metrics in order to simultaneously optimize service performance and IT cost. Multiple conceptual approaches are shared, including pros and cons. Most of the presentation includes real examples by which Safeway has integrated performance, capacity, business, and power data into an automated optimization process spanning 1000s of servers and virtual servers and their applications.
The notion of digitizing your business has become a matter of “when,” rather than “if.” For many, migrating critical workloads to the cloud is a key part of this transformation. When deciding on a cloud provider, however, IT executives are under pressure to find a solution that enables reduced costs, greater agility, and above all, the ability to innovate core business processes.
At the heart of many businesses embarking on this journey is their SAP environment. But since SAP workloads represent some of the most critical and deeply integrated business applications, IT executives are required to look for ways to execute this migration in the most timely and reliable manner. Organizations migrating to the cloud cannot risk application downtime or productivity loss.
Provided by: AWS & Intel
At Amazon, we’ve been investing deeply in AI for more than 20 years. Machine learning (ML) algorithms drive many of our internal systems, and have formed the core of our customers' experience —from the path optimization in our fulfillment centers, and Amazon.com’s recommendations engine, to Echo powered by Alexa, and our new retail experience, Amazon Go.
Our mission is to share our learnings and ML capabilities as fully managed services, and put them into the hands of every executive, developer, and data scientist.
Machine learning is proving its power across virtually every industry in ways that add actionable insight and efficiency. But one can look at the rise of this transformative paradigm with a more focused lens to see AI technologies as a business tool of the highest order, one that improves processes and inspires new models. AI, in other words, has a big role to play on the balance sheet.
Two leading brands in very different spaces — Capital One in financial services, John Deere in agriculture — are seeing efforts that stretch back decades come to fruition with the launch of cloud-based AI platforms. Capital One is developing digital products and experiences using machine learning to help millions of customers with their financial lives; John Deere’s Precision Agriculture solution helps farmers gain precise information about their machines and crops. In both instances, AI and a cloud platform combine to enable transformation.
Your network is more complex than ever before. Your employees are accessing any application they want, using work or personal devices. Oftentimes, these applications span both personal and work-related usage, but the business and security risks are often ignored. Prospective employees are asking about application usage policies before accepting a job.
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