The journey towards upgrading IT infrastructure is fraught with buzzwords and misinformation. In this special report, Gartner identifies the key challenges faced by infrastructure and operations leaders and provides strong recommendations for optimizing IT costs and investments.
Submit the form to access the report and discover the ‘seven deadly sins’ I&O leaders must avoid in order to capture efficiency gains and produce strategic, outcome-driven results.
Published By: NTT Ltd.
Published Date: Jan 16, 2019
NTT Data services has over 600+ BI experts and over 250+ implementations in India, receiving high accolades from Gartner and AMR research. NTT Data Services offers Industry focused offerings and pre-configured models. Some of our offerings include:
- Guided Analytics Strategy - Proven Framework & Methodology for ‘C’ level executives
- Solution lab for Co-Innovation and Proof of Concepts
- Advisory Services - BI Transformations, Big Data Strategy, Information Governance, Health Checks
- Proprietary Tools & Accelerators – System Optimization, Architect to Archive, User Adoption
- Flexible Delivery - Rapid Development Factory, Shared Services
Find more details in this deck.
Robots play a major role in making manufacturing processes more efficient and
less labor intensive. They can help control costs and improve quality, as well as
increase productivity. The complexity of robotic system design, however, creates
obstacles for many manufacturers, and this is made more difficult by the need to
identify and integrate subsystems from multiple vendors.
NexCOBOT, a NEXCOM company, offers a flexible, modular robotics solution
integrating artificial intelligence (AI) with machine vision and powered by the
new Intel® Vision Accelerator Design products. The solution brings together
the insight of artificial intelligence, the mobility of robotics, and the capabilities
of machine vision, providing a new level of precision and optimization for
manufacturing and industrial implementations
Published By: Riverbed
Published Date: May 24, 2012
Thanks to new edge virtual server infrastructure (edge-VSI), organizations can now consolidate storage considered impossible to consolidate due to the response time requirements of branch-bound applications that rely on local storage.
Published By: Riverbed
Published Date: May 24, 2012
Data transfer bottlenecks and unpredictability on the Wide Area Network (WAN) can hurt application performance. In addition, the time required to migrate large volumes of data to and from data centers can be a serious concern to business continuity.
Published By: Riverbed
Published Date: May 24, 2012
Hybrid cloud architectures are growing in popularity as a way to cope with today's business needs. This paper outlines a framework and specific solutions for adopting a hybrid cloud architecture to support increased profits and productivity.
The key to order management success is to recognize that the product alone is no longer what is being sold, but the entire purchase experience from the point of view of the customer. Each retail task is a challenge that brings the customer and their needs to the center of the conversation. With the help of IBM Order Management and Watson Order Optimizer, your company can address the key challenges of optimizing inventory and minimizing cost-to-serve while delivering omni-channel services that satisfy your customers.
In Forrester’s 40-criteria evaluation of omnichannel order management (OMS) vendors, we identified the nine most significant software providers in the category — Aptos, IBM, Jagged Peak, Kibo, Manhattan Associates, NetSuite, Oracle, Radial, and SAP Hybris — and researched, analyzed, and scored each. This report details our findings about how well each vendor fulfills our criteria and where each stands in relation to one another to help eBusiness professionals select the right partner for their omnichannel order management needs.
Supply chain management means far more than just ensuring low costs and high efficiency. Above all, it means turning the supply chain into a growth engine.
Find out more in our whitepaper and learn how to:
• Increase your profits and reduce logistics costs
• Improve your service performance and inventory control
• Capture huge amounts of granular information in real time
Many organizations have understandably turned to consolidation and virtualization to reduce server complexity, footprint and cost-to-scale. The next step is to optimize performance using analytics, policy-based automation and new technologies like cloud computing. Companies that focus on server optimization are seeing greater flexibility and sustained cost and operational efficiencies, with administrators able to manage 2.5 times more servers and almost twice as many virtual machines per server.
The explosion in IT demand has intensified pressure on data center resources, making it difficult to respond to business needs, especially while budgets remain flat. As capacity demands become increasingly unpredictable, calculating the future needs of the data center becomes ever more difficult. The challenge is to build a data center that will be functional, highly efficient and cost-effective to operate over its 10-to-20-year lifespan. Facilities that succeed are focusing on optimization, flexibility and planning—infusing agility through a modular data center design.
It's no longer enough to be able to predict what might happen-organizations also need to know how to respond to predictive insights. This white paper describes how predictive analytics and decision optimization can work together to create a powerful end-to-end decision management system.
The synergy between predictive analytics and decision optimization is critical to good decision making. Predictive analytics offers insights into likely future scenarios, and decision optimization prescribes best-action recommendations for how to respond to those scenarios given your business goals, business dynamics, and potential tradeoffs or consequences.
Together, predictive analytics and decision optimization provide organizations with the ability to turn insight into action—and action into positive outcomes.
In this white paper, you’ll gain a better understanding of:
The difference between predictive and prescriptive analytics
How predictive and prescriptive actions complement one another to help you achieve optimized business decisions
IBM’s approach to creating a powerful end-to-end decision management system
"With the introduction of Oracle Database In-Memory and servers with the SPARC S7 and SPARC M7 processors Oracle delivers an architecture where analytics are run on live operational databases and not on data subsets in data warehouses. Decision-making is much faster and more accurate because the data is not a stale subset. And for those moving enterprise applications to the cloud, Real-time analytics of the SPARC S7 and SPARC M7 processors are available both in a private cloud on SPARC servers or in Oracle’s Public cloud in the SPARC cloud compute service.
Moving to the Oracle Public Cloud does not compromise the benefits of SPARC solutions. Some examples of utilizing real time data for business decisions include: analysis of supply chain data for order fulfillment and supply optimization, analysis of customer purchase history for real time recommendations to customers using online purchasing systems, etc.
It’s no longer enough just to convert—to stay competitive, you need to turn prospects into lifelong fans of your brand. But with commerce channels and buying behavior changing so fast, we all know that’s easier said than done.
What were once communications channels are now becoming commerce channels, with consumers making purchases on their TVs, on Twitter, and by text message. In the past, commerce and content data and experiences sat in their own silos. Those days are gone.
Published By: Optimizely
Published Date: Apr 06, 2018
Welcome to the conversion best practices toolkit from Optimizely!
You’re already one step closer to delivering meaningful digital experiences and turning prospects into customers. In an increasingly competitive landscape where customers demand more from their digital interactions with companies across a growing number of communication channels, customer acquisition can be a big challenge. In this toolkit, you’ll find a variety of resources aimed at helping you identify conversion optimization opportunities and acquire new customers with greater efficiency.
In April 2014, Nissan opened a new production plant in Rio de Janeiro, Brazil with an annual production capacity of 200,000 vehicles and 200,000 engines.
Along with a target of reaching 5% market share in Brazil by 2016, the plant’s opening was aligned with Nissan’s efforts to achieve 8% global market share, part of the “NISSAN POWER 88” five-year mid-term management plan initiated in 2011.
To help align their strategic and business goals with their use of technology, Nissan chose Red Hat JBoss BRMS to replace their legacy system.
'Innovatively growing a consumer base, especially non-users' can be a challenging task for a CPG organization, looking for growth strategies in a world of discerning loyalty and fragmented markets.
WNS designed a personalized consumer analysis framework that enabled a CPG major to successfully target non-user target segments, and enabled a two-fold growth in consumer base
and revenue from sales.
The CA Automated Storage Optimization Mainframe Suite provides a best-practices-based and intelligent approach to SRM, delivering the tools to identify and classify your storage assets. Access this Technology Brief to understand how to maximize use of existing storage resources and ensures protection of business-critical applications and information.
Credit Union Times is the nation's leading independent source for breaking news and analysis for credit union leaders. For more than 20 years, Credit Union Times has set the standard for editorial excellence and ethical, straight-forward reporting.