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
June 9, 2021 by Leave a Comment
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
February 26, 2021 by Leave a Comment
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
February 1, 2021 by Leave a Comment
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
December 17, 2020 by Leave a Comment
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
December 9, 2020 by Leave a Comment
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
November 19, 2020 by Leave a Comment
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
November 19, 2020 by Leave a Comment
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
November 17, 2020 by Leave a Comment
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
November 4, 2020 by Leave a Comment
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.
