[SPONSORED POST] With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency. Data-driven organizations use AI and ML, either natively within applications or infused into applications, to obtain better insights into the content that drives their business and automate content-centric processes for greater efficiency. But the proliferation of AI projects, ML models, APIs, and data sets to enable these processes present serious challenges that stand in the way of successful AI and ML deployments.
10 Must-Have Capabilities of an Enterprise AI Platform
With the ten must-have capabilities of an Enterprise AI platform outlined in this paper from Veritone, organizations can position themselves for rapid adoption of AI and ML at scale without requiring custom “from-scratch” model development, extensive AI expertise, or single-model dependency.
3 Ways AI Can Boost Conversational Intelligence Across Your Enterprise
December 20, 2021 by Leave a Comment
[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.
Three Ways AI Can Boost Conversational Intelligence Across Your Enterprise
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: (i) contact center insights – to drive improved customer interactions and call center efficiencies; (ii) […]
An Enterprise AI Platform as a Path Toward Intelligence Process Automation
November 2, 2021 by Leave a Comment
In this article we take a look new technology that can overcome common problems that contribute to struggles with AI projects. Project delays, budget limitations, scarcity of needed skills, changing data sources, decay of a model’s predictive power (model drift), and scalability issues are just some of the aspects that make for potentially high-risk AI projects.
Veritone Multi Cloud AI Platform Provider Approved for Use Across the Entire US Department of Justice
October 16, 2021 by Leave a Comment
Veritone, Inc. (NASDAQ: VERI), creator of aiWARE, a hyper-expansive Enterprise AI platform, announced the expanded availability of aiWARE Government for all components of the U.S. Department of Justice (DOJ). Originally sponsored by the Executive Office for United States Attorneys (EOUSA) within the DOJ, Veritone has obtained an expanded, enterprise-wide Authority to Operate (ATO) from the FedRAMP authorization board for its aiWARE™ Government platform.
The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation
June 22, 2021 by Leave a Comment
This new whitepaper, “The 3 Reasons Enterprises Need an AI Operating System for Intelligent process Automation,” 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.
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
June 10, 2021 by Leave a Comment
This white paper, “Reduce Compliance Risk in Your Call and Contact Center With AI,” 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.
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.
