Lift & Extend Pragmatic Keys to Establish a Virtuous Circle for your Cloud Adoption Strategy

January 5, 2019

While a few large companies like Johnson & Johnson got the rid of all their Mainframe-based applications and expect to run more applications in the Cloud than they currently do on their own infrastructure, the great majority of the Forbes Global 2000 organizations are still stuck at the beginning of the journey. If these large shops have initiated their move to the Cloud to reduce infrastructure costs, they’ll soon be confronted with technological, cultural and psychological hurdles which may hinder them to take full advantage – cost reduction, but also business value – of the Cloud.

Spotlight

Green Power Labs Inc.

At Green Power Labs we clearly see the opportunities and challenges of creating a smart energy future. We understand a secure, resilient, diversified energy future demands integrated, adept and robust predictive analytics. Predictive analytics encompasses a variety of advanced techniques that analyze current and historical facts to predict future events and effectively prepare for their expected impact. With the rising cost of energy and the rapid changes in how we generate electricity, the business case for use of predictive analytics in energy management in the utility and building space is compelling.

OTHER WHITEPAPERS
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The Path to Self-Service Analytics on the Data Lake: Asset

whitePaper | May 2, 2022

Download this white paper to get a step-by-step roadmap for adopting Dremio and migrating workloads while maintaining coexistence and interoperability with existing systems and technologies.

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Enterprise Data Orchestration

whitePaper | June 3, 2021

Data growth continues at an exponential rate even as cloud architectures make data management more complex and advanced applications necessitate more data movement. So what can be done to enable clean data capture and movement across an enterprise? Read this white paper to learn the requirements for data orchestration at scale and discover how you can build a holistic data architecture that enables successful DataOps.

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BARC Score Enterprise BI & Analytics Platforms

whitePaper | August 12, 2021

This BARC Score report will evaluate BI & analytics platforms on a range of features, from data visualization capabilities to semantic modeling abilities, performance and speed to automation capabilities.

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Evolving Role of Data Scientist in the Age of Personalization

whitePaper | March 12, 2020

This point of view is an exploration of the possibilities engendered by rethinking the role of data scientists in the wake of industrial revolution. It might be claimed that current trends in industrial revolution reflect a paradigm shift towards data centric processing with data science playing an increasingly critical role. This point of view also explicitly highlights the potential role of Data scientists as an emerging phenomenon, and then to show some of the benefits that this role can bring as we move towards industrial disruption

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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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Analytical Data Infrastructure MarketStudy (Excerpt)

whitePaper | June 23, 2021

Analytical data infrastructure (ADI) platforms underpin key analytics models via processes like data integration, preparation, management, and storage. But with complex cloud architectures, as-a-service offerings, and innovative new analytics and process developments, how can the discerning expert choose the right ADI offerings for their business?

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Spotlight

Green Power Labs Inc.

At Green Power Labs we clearly see the opportunities and challenges of creating a smart energy future. We understand a secure, resilient, diversified energy future demands integrated, adept and robust predictive analytics. Predictive analytics encompasses a variety of advanced techniques that analyze current and historical facts to predict future events and effectively prepare for their expected impact. With the rising cost of energy and the rapid changes in how we generate electricity, the business case for use of predictive analytics in energy management in the utility and building space is compelling.

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