This Data Engineering Survey: 2021 Impact Report summarizes key findings from the inaugural survey and provides a glimpse into the current and future state of data engineering and DataOps. The report highlights some of the major trends uncovered in this year’s survey including the adoption of cloud data platforms, what platforms are winning (and emerging), what data engineers find to be their biggest challenges, and how organizations are handling sensitive data.
XAI: Are We Looking Before We Leap?
This four part report from our friends over at SOSA highlights the challenges and advances when it comes to regulations, relevant use-cases, and emerging technologies taking the mystery out of AI.
Driving ROI Through AI
This new report from ESI ThoughtLab was conducted alongside our friends over at DataRobot as well as a coalition of other AI leaders. The report shows that despite high adoption rates of AI in enterprises, ROI in AI still remains a work in progress and will take skill, scale, and time.
How big data works? How we use it at FunCorp, and why it’s one of our most important tools
The latest report on big data from FunCorp discusses how an increased usage in smartphone users has also led to a rising demand for better mobile apps. These modern apps also use tremendous amounts of data, and thus, a robust management tool for analyzing and managing this data has become a necessity. This is where the use of Big Data comes in (this includes FunCorp too). The company develops apps and has relied heavily on big data. Read this report to learn how.
The Real AI Revolution: Machines That Learn Like Scientists
In this compelling white paper, our friends over at causaLens highlight how ML has wrongly become synonymous with AI. We must shake off this misconception to start the real AI revolution. Data science must forgo its reliance on curve-fitting ML and return to its roots; to put the science back into data science. causaLens is a major contributor to this new science of causality. And it is the company’s mission to help organizations of all types to benefit from it.
Combining High and Low-Code to Deliver Impactful Predictive Analytics
In this white paper, we will explore how GlobalTranz leveraged its inherent technology skills along with technology partnerships including Microsoft and West Monroe, a national business and technology consulting firm, to effectively insert a user interface (UI) facilitating human oversight of machine generated predictive pricing through a creative and resource- efficient use of both high and low-code approaches.
The Impact of Data Science On Customer Intelligence, Space Strategy and Supply Chain Optimization
In a new white paper recently released, 84.51° explains how this innovative data science has become embedded- specifically in three of its missions: Customer Intelligence, Space Strategy and Supply Chain Optimization.
The Essential Guide: Machine Scheduling for AI Workloads on GPUs
This white paper by Run:AI (virtualization and acceleration layer for deep learning) addresses the challenges of expensive and limited compute resources and identifies solutions for optimization of resources, applying concepts from the world of virtualization, High-Performance Computing (HPC), and distributed computing to deep learning.
NVIDIA’s New Data Science Workstation – a Review and Benchmark
This new whitepaper from NVIDIA’s Authorized Channel Partner, PNY Technologies, tests and reviews the recently released Data Science Workstation, a PC that puts together all the Data Science hardware and software into one nice package. The workstation is a total powerhouse machine, packed with all the computing power—and software—that’s great for plowing through data.
Ultimate Guide to Cleaning Data with Excel and Google Sheets
The “Ultimate Guide to Cleaning Data with Excel and Google Sheets” eBook by Inzata Analytics discusses how poor data quality is the kryptonite of good reporting and credible analytics. Managing and ensuring data is clean can provide significant value to any business. This guide details useful steps and tips to cleaning data in a Google […]