Business Information Insight on managing and using data

Big data analytics requires skilled business analysts and data scientists to be successful, but those gifted professionals also need to be equipped with the proper tools of the trade. And the right tools can be equally as important as the analytics team that’s striving to achieve a project’s intended outcome. The techniques big data analytics tools provide aren’t all that new. It’s just that, until recently, the arena of tools and adopters has been, for good reason, relatively small. The processing and data storage demands of advanced analytics applications, not to mention the high cost, have limited their adoption primarily to large companies with deep pockets. Fortunately, those once insurmountable barriers have lowered dramatically.

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SparkCognition

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance. Security, Machine Learning, Big Data, Internet of Things (IoT), Cloud, Predictive Analytics, Cognitive, Industrial Internet, Artificial Intelligence, Endpoint Protection, IIoT, and Natural Language Processing.

OTHER WHITEPAPERS
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Implementing AI in business challenges and resource

whitePaper | November 10, 2019

Large enterprises need to implement AI solutions quickly and efficiently, but many don’t have the right people, process and technology. Firms can accelerate progress to AI maturity through use of a robust workbench, an operating model built on a data science-led pyramid of skills, and pre-built solutions when data complexity and talent scarcity are too big a challenge.

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Successfully implement and operationalize machine learning models to optimize and accelerate credit decisions

whitePaper | May 4, 2022

The pandemic has brought about significant economic disruption, thereby increasing the need for banks and financial institutions to be more agile. However, Covid-19 is not the only factor that drives automation and digitalization in the credit and lending process in credit institutions. Incumbent banks are increasingly facing pressure from neobanks, these having the strategic advantage of being “born digital”. In addition, customers demand fully digitalized processes with regard to the ease of use and fast turnaround times.

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Unleash data and AI forcompetitive advantageReady your data for AIand multicloud

whitePaper | January 10, 2020

Instead of following a set of rote, preprogrammed instructions, AI enables machines to learn, and then “act,” on information. Your voice-activated phone, technologies such as speech and image recognition, autonomous vehicles, the smart devices in your home—all of these advances were made possible by AI technology. AI also marks a fundamental advancement in critical, often time-consuming, business processes. It’s poised to dramatically enhance human decision-making and improve an organization’s ability to make predictions, automate business practices, and optimize logistics.

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Mitigating AI/ML Bias in Context: Establishing Practices for Testing, Evaluation, Verification, and Validation of AI Systems

whitePaper | August 31, 2022

Artificial intelligence and machine learning analyses are driving critical decisions impacting our lives and the economic structure of our society. These complex analytical techniques—powered by sophisticated math, computational power, and often vast amounts of data—are deployed in a variety of critical applications, from making healthcare decisions to evaluating job applications to informing parole and probation decisions to determining eligibility and pricing for insurance and other financial services.

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Artificial Intelligence (AI) and the Future of Application Security Testing

whitePaper | April 25, 2023

Artificial Intelligence (AI) is changing our world. In the future, AI will be essential to cybersecurity and application security testing. Organizations require AI to secure assets that power their business. As cyber-attacks become more sophisticated and widespread and leverage AI, organizations will need to rely on AI-powered security solutions to protect their systems and data.

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The 2023 AI and Machine Learning Research Report

whitePaper | February 23, 2023

In December 2022, Rackspace Technology® polled 1,420 IT professionals throughout the world and across multiple industry verticals. Survey respondents worked in financial services, manufacturing, retail, hospitality, government and healthcare in the Americas, Europe, Asia and the Middle East.

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Spotlight

SparkCognition

SparkCognition builds leading artificial intelligence solutions to advance the most important interests of society. We help customers analyze complex data, empower decision making, and transform human and industrial productivity with award-winning machine learning technology and expert teams focused on defense, IIoT, and finance. Security, Machine Learning, Big Data, Internet of Things (IoT), Cloud, Predictive Analytics, Cognitive, Industrial Internet, Artificial Intelligence, Endpoint Protection, IIoT, and Natural Language Processing.

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