Artificial Intelligence (AI) is reframed as a cognitive engine driving a novel productivity revolution distinct from the Industrial Revolution's physical thrust. This paper develops a theoretical framing of AI as a cognitive revolution akin to written language - a transformative augmentation of human intellect rather than another mechanized tool. We compare AI's emergence to historical leaps in information technology to show how it amplifies knowledge work. Examples from various domains demonstrate AI's impact as a driver of productivity in cognitive tasks. We adopt a multidisciplinary perspective combining computer science advances with economic insights and sociological perspectives on how AI reshapes work and society. Through conceptual frameworks, we visualize the shift from manual to cognitive productivity. Our central argument is that AI functions as an engine of cognition - comparable to how human language revolutionized knowledge - heralding a new productivity paradigm. We discuss how this revolution demands rethinking of skills, organizations, and policies. This paper, balancing academic rigor with clarity, concludes that AI's promise lies in complementing human cognitive abilities, marking a new chapter in productivity evolution.

We are driven by the belief that Artificial Intelligence is mankind's greatest invention. It is the key to building a safer, more vibrant, transparent, and empowered society. We are determined to be an active contributor to shaping our future for the better. We care about the ethical implications of AI and the prosperity and well-being of all individuals, as well as the growth and continued successes of our employees, customers, and partners. Veritone's mission today is more important than ever.

Organisations are innovating and leveraging the latest technologies simply to stay in the business world. Generally, all organisations implement online retail, banking, and other services but among all most priorities are for online services as they are becoming the primary revenue channel. Big Data Companies are working quickly to review and analyse their processes and seize opportunities for digital transformation; to understand their current processes to make use of technologies like the Internet of Things, Big Data Analytics, and Artificial Intelligence etc. to adapt them on existing processes. There is no doubt that the cloud infrastructure provides the best of support to compute power, storage, scale, and speed. Companies that plan for massive growth and transformation are usually the ones that invest in technology to support innovative ideas and advancements in digital space with a solid cloud strategy accompanied by agile development processes and ideas.

This episode introduces you to our new Cognitive Engine – a new AI framework that works with Qlik's already proven associative technology.

An important challenge in underlay dynamic spectrum access (DSA) is how to establish an interference limit for the primary network (PN) and how cognitive radios (CRs) in the secondary network (SN) become aware of their created interference on the PN, especially when there is no exchange of information between the primary and the secondary networks. This challenge is addressed in this paper by present- ing a fully autonomous and distributed underlay DSA scheme where each CR operates based on predicting its transmission effect on the PN. The scheme is based on a cognitive engine with an artificial neural network that predicts, without exchanging information between the networks, the adaptive modulation and coding configuration for the primary link nearest to a transmitting CR. By managing the tradeoff between the effect of the SN on the PN and the achievable throughput at the SN, the presented technique maintains the change in the PN relative average throughput within a prescribed maximum value, while also finding transmit settings for the CRs that result in throughput as large as allowed by the PN interference limit. Moreover, the proposed technique increases the CRs transmission opportunities compared to a scheme that can only estimate the modulation scheme.

Throughout the ages, human innovation has been accelerating at a mind-boggling rate. Consider that 1 million years elapsed between the control of fire and the invention of the wheel, but just 5,400 more years until the creation of the Gutenberg press--and a mere 455 additional years before the development of the light bulb. When plotted on a chart to illustrate the human innovation curve, it is clear that there is only one word that can describe the increase in the pace of progress: exponential. However, the innovation curve now is shifting into even higher gear with the proliferation of artificial intelligence (AI). AI grew exponentially in 2017, with no signs of stopping in 2018.

Veritone, Inc. (NASDAQ: VERI), a leading provider of artificial intelligence (AI) insights and cognitive solutions, today announced the general availability of its Veritone Developer application. The application empowers developers of cognitive engines, applications and application programming interfaces (APIs) to bring new AI ideas to life through simple integration with the Veritone aiWARE platform. Veritone Developer is a self-service development environment that empowers developers to create, submit and deploy public and private applications and cognitive engines directly into the aiWARE architecture. After a successful limited beta release to a select group of partners, Veritone Developer is now publicly available as a unique resource for machine learning experts, application development firms, and system integrators. Veritone Developer supports RESTful and GraphQL API integrations as well as engine development in major categories of cognition, including: transcription, translation, face and object recognition, audio/video fingerprinting, optical character recognition (OCR), geolocation, transcoding, and logo recognition, among others.

WIRE)--Veritone, Inc. (NASDAQ:VERI), a leading provider of artificial intelligence (AI) insights and cognitive solutions, today announced the general availability of its Veritone Developer application. The application empowers developers of cognitive engines, applications and application programming interfaces (APIs) to bring new AI ideas to life through simple integration with the Veritone aiWARE platform. Veritone Developer is a self-service development environment that empowers developers to create, submit and deploy public and private applications and cognitive engines directly into the aiWARE architecture. After a successful limited-beta-release to a select group of partners, Veritone Developer is now publicly available as a unique resource for machine learning experts, application development firms, and system integrators. Veritone Developer supports RESTful and GraphQL API integrations as well as engine development in major categories of cognition, including: transcription, translation, face and object recognition, audio/video fingerprinting, optical character recognition (OCR), geolocation, transcoding, and logo recognition.

With thousands of artificial intelligence solutions available to apply to a myriad of business functions, the issue for enterprises seeking to innovate with AI is not that the market doesn't have options -- it's that there are too many, creating confusion on which technologies provide actual business value, and which are better in theory than in practice. Today, the AI tech ecosystem is awash with narrow AI solutions, cognitive engines built to perform one task well - engines in categories like natural language processing, image recognition and facial detection. According to Gartner, "Small, unconstrained market players specializing in AI core technologies will cause sporadic business disruption in the near future. In the long term, the main disruptive effect of AI core technologies will arise through revolutionary business ideas enabled by those technologies." Veritone, a recent IPO out of Costa Mesa, Calif., caught my attention as one such business, grasping the idea that many AI brains are better than one when used together to solve business problems.

Using AI engines, firms can check employee interactions conducted via media including emails and recorded phone calls to check if their language and conduct complies with legal regulations. By leveraging AI, legal groups can implement a proactive approach to communications compliance monitoring, constantly and thoroughly reviewing material in real time with a level of efficiency that would be impossible using traditional manual techniques. Intelligence for Compliance Huge volumes of data including conversations from phone recordings, chats and emails can now be analyzed using cognitive engines built specifically to understand noncompliant language. Cognitive engines can augment compliance-tasks, streamline processes and analyze data quickly and efficiently so employees can spend their time on real issues that impact a business's bottom line.