Zementis & IBM: enhancing predictive analytics

Organizations across industries, from financial services to marketing to manufacturing, have access to more data today than ever before. This big data boom continues to draw tremendous attention, mostly for its untapped potential. Data, after all, is only as valuable as the insights you can derive from it. Many enterprises are turning to predictive analytics to help identify trends, improve business decisions and proactively manage assets and operations. Deploying predictive models can be a costly and complex process, sometimes requiring six to nine months for effective implementation. Organizations are slowed by the challenges that emerge when moving predictive models from data scientists, who use a number of data mining tools, to IT engineers operating multiple platforms. When model deployment cycle time suffers, delaying business insights, companies can miss valuable opportunities in the fast-moving marketplace

Spotlight

Cloudwick Labs

After having completed more than 100,000 hours of Big Data production cluster development for leading enterprises like Bank of America, Visa, JP Morgan, Home Depot, Warner Music Group, NetApp, Walmart and Radium One we realized the need for a benchmark and certification lab that is dedicated to working collaboratively with the Big Data community (enterprise, consultants and vendors) to research, test and share Big Data best practices. Become a Cloudwick Labs member and join the leading enterprise Big Data community. Together we can accelerate Big Data.

OTHER WHITEPAPERS
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How to Analyze and Maximize Customer Retention: Asset

whitePaper | May 10, 2022

Understanding all the factors that impact customer health and retention requires a comprehensive view of complex data.

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GBM-Security

whitePaper | November 15, 2019

We are living in an era of digital disruption. Multiple industries are being disrupted, or fear being disrupted in the near future. Business models are evolving to cater to the dynamic markets and digital transformation that seems to be the answer to changing business models. Digital transformation is rapidly becoming a key priority in most industries, as organizations adapt to changing markets by leveraging technologies to build IT-centric business models. In general, organizations are using digital transformation to reach their goals of achieving greater agility, improving operational efficiency, improving customer experiences, and developing new revenue streams.

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Building a Data Management Strategy for Your Nonprofit

whitePaper | June 14, 2022

In a digital-first world, every organization needs a data management plan. Yet, fewer than 25% of nonprofits report having a plan in place. This means data is infrequently shared across departments and rarely used to make decisions or predict future stakeholder behaviors. A data management plan is fundamental to make an impact and an attainable goal regardless of organization sizeor technological capacity. An effective data management plan takes into account your mission, staffing, time, budget, goals, existing technology, and more.

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THE COMPUTEINFRASTRUCTURE NEEDED FOR PREDICTIVE ANALYTICS

whitePaper | November 26, 2019

Modernized organizations are leveraging the transformative benefits of predictive analytics to propel their business forward. Predictive analytics arm you with knowledge and insights that can make the difference between profits and losses. They use modeling, machine learning, and artificial intelligence to analyze current data and make predictions about the future. Every industry can benefit from predictive analytics. Those who ignore the potential here are squandering a huge opportunity to grow or create better experiences. The recent dramatic progress in AI-based predictive analytics and machine learning provides organizations with the power to unlock tremendous value from previously hard to decipher data. Through the power of AI-enabled infrastructure, you can harness the predictive analytics/machine learning wave and gain business advantages that will not only keep you in the game, but at the leading edge. Automated server capabilities and the right server for the job will get you where you need to go. This eBook focuses in on how server automation, along with the right servers for the workload, empowers companies to make great strides in the world of machine learning and predictive analytics.

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Fault-Tolerant Components on AWS

whitePaper | November 15, 2019

Fault-tolerance is the ability for a system to remain in operation even if some of the components used to build the system fail. Even with very conservative assumptions, a busy e-commerce site may lose thousands of dollars for every minute it is unavailable. This is just one reason why businesses and organizations strive to develop software systems that can survive faults. Amazon Web Services (AWS) provides a platform that is ideally suited for building fault-tolerant software systems. The AWS platform enables you to build fault-tolerant systems that operate with a minimal amount of human interaction and up-front financial investment.

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Active Data Governance Methodology

whitePaper | February 10, 2022

Modern data governance leaders are searching for the role that governance should play in delivering high-quality data.

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Spotlight

Cloudwick Labs

After having completed more than 100,000 hours of Big Data production cluster development for leading enterprises like Bank of America, Visa, JP Morgan, Home Depot, Warner Music Group, NetApp, Walmart and Radium One we realized the need for a benchmark and certification lab that is dedicated to working collaboratively with the Big Data community (enterprise, consultants and vendors) to research, test and share Big Data best practices. Become a Cloudwick Labs member and join the leading enterprise Big Data community. Together we can accelerate Big Data.

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