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

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CHI Software

CHI Software is the development center, based in Kharkiv, with representatives in Dnipro and Kiev (Ukraine), Israel and California. We’ve started off as a small web design studio. Nowadays, we have complex in-house expertise in different business domains and industries to offer.

OTHER WHITEPAPERS
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CDAIT Digital Transformation

whitePaper | November 26, 2019

There has been much said about the Internet of Things (IoT) and what it can bring to business and society - creating a more deeply connected world, informed by data sourced from connected things, made better by smarter, more meaningful actions and interactions. These views often focus on how IoT technical solutions can deliver this new future, emphasizing the technology DNA of IoT devices, networks and applications. We have found, however, both through research and experience, that while technology is, in fact, the core of IoT’s DNA; it is just a piece of the puzzle needed to deliver on IoT’s promise. With 60% of IoT projects still struggling to move out of proof-of-concept and scale successfully2 there is more to IoT success than technology alone. What is needed and how can business leaders plan better for IoT success?

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Securing Data In Motion: Working at the Speed of the Mission

whitePaper | August 25, 2022

Everyday user experiences are being completely reimagined. Requesting a ride through an app is better than calling a cab. Buying online is changing the way we go shopping. And gone are the days of waiting in long lines at your local bank. Data within these modern businesses is in constant motion, flowing, in real-time, across systems, environments, and applications every time a user interacts with the system.

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Data Architecture Series - The unified data fabric

whitePaper | September 8, 2022

Enterprises today have to contend with exponentially increasing volumes of batch and streaming data, comprising a variety of structured, unstructured, and semi structured data types, and originating from an expanding number of disparate sources located on-premises, in the cloud and at the edge.

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The Evolution of Clinical Data Management into Clinical Data Science

whitePaper | September 12, 2022

Clinical Data Management (CDM) evolved over the last two decades from managing data entered on paper Case Report Forms (CRFs) to managing data transcribed into Electronic Data Capture (EDC) systems. The Society for Clinical Data Management (SCDM) strongly contributed to this first significant CDM evolution through its Good Clinical Data Management Practice 1 (GCDMP©) Chapters first published in 2000 and its certification program for Clinical Data Managers2 subsequently released in 2004.

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Prescriptive Security for Financial Services

whitePaper | November 15, 2019

The potential of artificial intelligence to transform business performance is only now starting to be more widely understood in Financial Services. This is nowhere clearer than in the security domain, where the fusion of big data, advanced analytics and machine learning holds out the promise of startling improvements in cyber defenses through the introduction of Prescriptive Security.

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Architecting for HIPAA Security and Compliance on Amazon Web Services

whitePaper | January 27, 2020

AWS maintains a standards-based risk management program to ensure that the HIPAA-eligible services specifically support the administrative, technical, and physical safeguards required under HIPAA. Using these services to store, process, and transmit PHI allows our customers and AWS to address the HIPAA requirements applicable to the AWS utility-based operating model.

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Spotlight

CHI Software

CHI Software is the development center, based in Kharkiv, with representatives in Dnipro and Kiev (Ukraine), Israel and California. We’ve started off as a small web design studio. Nowadays, we have complex in-house expertise in different business domains and industries to offer.

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