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A collection of big data white papers reviewed by the editors of insideBIGDATA. Please visit the insideBIGDATA White Paper Library for a comprehensive list of white papers focus on big data strategies.

insideBIGDATA Guide to Computer Aided Engineering

[SPONSORED POST] The essential first step for manufacturers is to consider how much data the enterprise has at its disposal. Most manufacturers collect vast troves of process data but typically use it only for tracking purposes, not as a basis for improving operations. The challenge is for these players to invest in the systems and skillsets that will allow them to enhance their use of existing process statistics. This Guide, “insideBIGDATA Guide to Computer Aided Engineering,” sponsored by Dell Technologies, will walk through some of the ways to expand the scope of analytics to further increase business value.

Case Study: Balancing MLOps Innovation with Tough Security Standards

As AI adoption has grown, so too have concerns about data protection and infrastructure security across the MLOps lifecycle. At GTS Data Processing, a rapidly growing German IT company, security is top of mind as they deliver Infrastructure-as-a-Service and Software-as-a-Service platforms to companies across Europe. GTS’ DSready Cloud offering, powered by Domino® and hosted in Germany, brings together the tools, technologies, compute, and collaboration capabilities its clients need to deliver and manage data science capabilities at scale—all within a GDPR-compliant environment that supports Germany’s stringent security standards.

3 Ways AI Can Boost Conversational Intelligence Across Your Enterprise

[SPONSORED POST] Artificial Intelligence can both help and scale human effort in building the conversational intelligence across the enterprise that drives successful business outcomes. In this eBook from Veritone, we will explore three common use cases of AI applied to customer conversations: contact center insights, social media insights, and conversational compliance.

2022 State of Data Engineering: Emerging Challenges with Data Security & Quality

The 2022 Data Engineering Survey, from our friends over at Immuta, examined the changing landscape of data engineering and operations challenges, tools, and opportunities. The modern data engineering technology market is dynamic, driven by the tectonic shift from on-premise databases and BI tools to modern, cloud-based data platforms built on lakehouse architectures.

The State of Data Innovation 2021

Our friends over at Splunk, along with researchers at the Enterprise Strategy Group, set out to measure data innovation, surveying 1,250 senior IT and business decision-makers worldwide, across industries, at larger organizations to assess their data practices, their innovation infrastructure, and their results. This report, “The State of Data Innovation 2021” summarizes the findings.

From Storage to Story: Delivering New Value by Unlocking the Power of Data

Our friends over at Kin+Carta know that optimizing the full value of data and figuring out where to start can be difficult. That is why the company has authored this whitepaper, “From Storage to Story: Delivering New Value by Unlocking the Power of Data,” on ways to make data work in four clear ways, while helping you take yours from Storage to Story, from modernization through to product optimization.

DataOps Dilemma: Survey Reveals Gap in the Data Supply Chain

The survey associated with this report, commission by Immuta, focused on identifying the limiting factors in the data “supply chain” as it relates to the overall DataOps methodology of the organization. DataOps itself is the more agile and automated application of data management techniques to advance data-driven outcomes, while the data supply chain represents the technological steps and human-involved processes supporting the flow of data through the organization, from its source, through transformation and integration, all the way to the point of consumption or analysis.

eBook: A Practical Guide to Using Third-Party Data in the Cloud

[Sponsored Post] To help you navigate a proliferating data landscape, AWS Data Exchange would like to present you with a copy of the new eBook, “A Practical Guide to Using Third-Party Data in the Cloud.” Learn how innovative teams are shifting their focus from data-driven business intelligence to accelerating insight-driven decision-making and now are turning to third-party datasets as a differentiator.

Data Modernization: Breaking the AI Vicious Cycle for Superior Decision-making

The recent research included in this report from Cognizant’s Center for the Future of Work reveals what separates leaders from laggards when it comes to using data and artificial intelligence to make better decisions. The report also explores business leaders’ attitudes about using AI for decision making—but also clearly demonstrates that their actions do not yet match their optimism.

insideBIGDATA Guide for Higher Education – Part 3

[Sponsored Post] This insideBIGDATA technology guide co-sponsored by Dell Technologies and AMD, insideBIGDATA Guide for Higher Education, discusses how higher education leaders today want to improve student and institutional success through digital transformation. Dell Technologies is uniquely positioned to help at every step of the way, leveraging a robust portfolio of solutions for data analytics, AI and HPC and coupled with a deep understanding of the missions, visions, and strategies of higher education institutions.