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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.

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

The goal for this Guide sponsored by Dell Technologies is to provide direction for enterprise thought leaders on ways of leveraging big data technologies in support of analytics proficiencies designed to work more independently and effectively across a few distinct areas in higher education: student success  and workforce readiness, simplified systems and processes, and accelerate research.

The State of AI and Machine Learning

In the 7th edition of its annual State of AI report, Appen continues to explore the strategies  employed by companies large and small in successfully deploying AI. The reports surveys business  leaders and technical practitioners ( referred to as technologists) alike to understand  their priorities, their successes, and their bottlenecks when it comes to implementing AI.  Collectively, their answers enabled the company to paint a picture of how the AI industry continues to  evolve in a world that is more virtual, more tech-savvy, and more globalized than ever.

insideBIGDATA Guide to Big Data for Finance

The goal for this insideBIGDATA technology guide, sponsored by Dell Technologies, is to provide direction for enterprise  thought leaders on ways of leveraging big `data technologies in support of analytics  proficiencies designed to work more independently and effectively across a few distinct areas in today’s financial service institutions (FSI) climate: (i) Retail Banking; (ii) Regulatory and Compliance, (iii) Algorithmic Trading; and (iv) Security Considerations.

The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation

This new whitepaper from Veritone highlights how evolving technology meets enterprise demand for agile, intelligence-based solutions in the shape of AI-based operating systems (OS) across three areas: (i) AI OS for automation of human work; (ii) AI OS for process automation across all data sources; and (iii) AI OS for democratization of AI across the
enterprise.

Reduce Compliance Risk in Your Call and Contact Center With AI

This white paper from Veritone discusses how compliance represents a major risk for contact centers, with violations potentially costing organizations millions of dollars in fines and causing reputational damage to the brand. The current method of monitoring calls — using manual review of recorded conversations — does not come close to meeting the requirements for comprehensive monitoring of regulated interactions. AI text-to-speech technology provides the solution to this dilemma, with its capability to transcribe, translate, redact, find objects and generate searchable indexes of limitless hours of recorded calls in near real-time.

Data Evolution in the Cloud: The lynchpin of competitive advantage

These questions are the focus of this report, based on a survey conducted by The Economist Intelligence Unit and sponsored by Snowflake. It reflects the views of 914 executives from  eight industries across 13 countries worldwide and explores the current state of corporate  data use, as well as executive hopes for the future. In particular, the goal is to illuminate how  different industries are adapting their data strategies, engaging with the broader data  ecosystem, and converting data insights into growth and performance.

Data Engineering Survey: 2021 Impact Report

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.

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.