The Business Value of Cisco UCS Integrated Infrastructure for Big Data

The hype surrounding technology capabilities and inflated promises of outcomes from Big Data projects has finally subsided. As evidence mounts for the competitive edge demonstrated by organizations embracing data-driven decision making, Big Data and analytics (BDA) has become a top agenda item for a growing number of executives.

Spotlight

Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

OTHER WHITEPAPERS
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The Rise of SD-WAN -Time to Cross the Chasm

whitePaper | October 27, 2022

Over the past years, the global SD-WAN market has experienced rapid growth, reaching a value of around $1B in 2018 according to analysts at Global Markets Insights. Driven by the demand for cost effective WAN management solutions, the increasing adoption of cloud technologies, the need for simplified network architecture, end-to-end network security and visibility, the market is forecast to grow at over 30% CAGR through to 2025

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SO MANY WAYS TO WAN

whitePaper | September 13, 2022

Software-defined WAN (SD-WAN) is an application-aware service that intelligently routes traffic in real time based on established business policies, along with network quality and availability. SD-WAN is used to connect multiple locations in a network to each other, to a data center, to applications and data in the cloud, or to SaaS platforms. Leveraging multiple, cost-effective access types at each location in an active-active configuration, an SD-WAN network routes application traffic over the best-performing network elements in real time and ensures automated failover for resiliency.

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New Data Sources and Innovative AI Are Redefining the Business of Lending

whitePaper | December 26, 2022

The business of lending money is rapidly changing. Innovative technology, fueled by expanding data and artificial intelligence (AI), is redefining borrowing. Traditional lenders, as well as alternative sources such as nonbank and "buy now, pay later" (BNPL) providers, are reimagining how people and businesses obtain credit.

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The Power of Now: Gaining Deep and Timely Insights with Performance-Intensive Computing Infrastructure

whitePaper | August 19, 2022

Data-driven insights form the basis on which organizations can gain competitive differentiation now and in the future. Externally, competitive differentiation is delivered via new products and services or existing products and services continually enhanced via new user engagements and experiences. Internally, differentiation can be achieved via streamlining and optimizing business operations. Being data driven is compressing time to value of insights, thereby creating top- and bottom-line impact on the business.

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Building the core foundations for Cloud at Scale™

whitePaper | September 27, 2022

The move to the cloud by organisations both large and small is inevitable. The pace of innovation enabled by cloud computing ensures that those who ignore or are slow to adopt it will quickly find themselves disrupted by competitors who can benefit from greater speed to market, business agility, scalability and cost-efficiency.

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Infrastructure Protection Best Practices

whitePaper | December 14, 2022

In the post-pandemic world, we spread data everywhere. As remote and hybrid workforce models become the norm, multi-cloud deployments evolve into the de facto computing standard for distributed workloads. This expands the attack surface well beyond the walls of a traditional data center and overextends already understaffed security teams. As a result, organizations struggle to combat the growing number of insider and outsider threats targeting their invaluable digital assets.

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Spotlight

Data Shift

Data Shift is an AI-powered web application that constantly checks for outliers and changes in data and alerts you in real-time when the data needs your attention. This can be used to maintain machine learning models where the efficiency can be decreased by unexpected changes in data or for early identification of business incidents.

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