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The Continuous Intelligence Report: The State of Modern applications, DevSecOps and the Impact of COVID-19

Sumo Logic, (Nasdaq: SUMO), a pioneer in continuous intelligence, released exclusive findings from its highly-anticipated fifth annual report. ”The Continuous Intelligence Report: The State of Modern Applications, DevSecOps and the Impact of COVID-19” provides an inside look into the state of the modern application technology stack, including changing trends in cloud and application adoption and usage by customers, and the impact of COVID-19 as an accelerant for digital transformation efforts.

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.

Garbage in, Garbage Out – How We Got Here and Why We Must Get Out Now

This whitepaper from our friends over at Profisee, reflects on why the state of data in most  organizations is as dismal as it is, and why there is such a challenge involved in demonstrating the value of trusted data available across mission-critical operations and analytics in an enterprise.

Why CRM and Data Warehouses Fail with Customer 360

This whitepaper from our friends over at Profisee explains why achieving a complete view of the customer is so difficult and how customer relationship management (CRM) systems and data warehouses, especially in the  insurance industry, do not manage customer-related data well. The core elements of this type  of data fall into a discipline called Master Data Management (MDM).

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.

Be (More) Wrong Faster – Dumbing Down Artificial Intelligence with Bad Data

In this white paper, our friends over at Profisee discuss how Master Data Management (MDM) will put your organization on the fast track to automating processes and decisions while minimizing resource requirements, while simultaneously eliminating the risks associated with feeding AI and ML data that is not fully trusted. In turn, your digital business transformation will be accelerated and your competitive edge will be rock solid.

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 State of Data Management – Why Data Warehouse Projects Fail

Based on new research commissioned by SnapLogic and conducted by Vanson Bourne, who  surveyed 500 IT Decision Makers (ITDMs) at medium and large enterprises across the US and  UK, this whitepaper explores the data management challenges organizations are facing, the  vital role data warehouses play, and the road to success.

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. 

Interview: Global Technology Leader PNY

The following whitepaper download is a reprint of the recent interview with our friends over at PNY to discuss a variety of topics affecting data scientists conducting work on big data problem domains including how “Big Data” is becoming increasingly accessible with big clusters with disk-based databases, small clusters with in-memory data, single systems with in-CPU-memory data, and single systems with in-GPU-memory data. Answering our inquiries were: Bojan Tunguz, Senior System Software Engineer, NVIDIA and Carl Flygare, NVIDIA Quadro Product Marketing Manager, PNY.