Arria NLG Plc Stuart Rodgers £6m funding and a confident future

Arria NLG Plc (LON:NLG) CEO Stuart Rodgers caught up with DirectorsTalk to discuss a £6m funding with Lanstead, how the package works, how it will be spent and plans for the New Zealand listing.

 

ARRIA NLG plc is a software development business. Its target is to be the global leader in the development and deployment of mission critical, core industrial, enterprise level Natural Language Generation software technologies. Natural Language Generation (NLG) is the computerised process of analysing and converting Big Data into actionable information. The principal activities of the Company are the development of intellectual property in the form of software and software as a service and the sale of those services to its clients. The Company is focused on core industry verticals, including oil and gas and financial services. The Company’s core product, Arria NLG Engine, consists of two main elements: a language-driven analytics side that is programmed to embody the knowledge of the domain in which it operates, and a natural language generation side, which embodies the skill required to communicate information using natural language. The Company serves oil and gas, financial services, healthcare and meteorology sectors.

Click to view all articles for the EPIC:
Or click to view the full company profile:
    Facebook
    X
    LinkedIn
    DirectorsTalk

    More articles like this

    Arria NLG Plc

    How Can Artificial Intelligence Transform Businesses?

    Tony Paikeday, Dir. of Product Marketing, A.I. & Deep Learning at NVIDIA We’re already seeing a wave of innovation across industries. From real-world data, computers are learning to recognize patterns too complex, too massive, or too

    Arria NLG Plc

    Artificial Intelligence Will Evolve The Workforce, Not Replace It

    While Artificial Intelligence offers great opportunity for businesses, a prominent concern coming out of the AI revolution surrounds the workforce. There are worries that further developments and implementation of AI will leave many employees without jobs

    Arria NLG Plc

    Arria NLG PLC – Why Big Data Needs NLG

    There are enormous and ever-growing data sets about medicine, finance, engineering and many other aspects of modern life. These data sets can be mined for insights that have the potential to radically change and improve the

    Arria NLG Plc

    AI Is Taking Over the Cloud

    The cloud is getting smarter by the minute. In fact, it will soon know more about the photos you’ve uploaded than you do. Cloud storage company Box announced today that it is adding computer-vision technology from

    Arria NLG Plc

    Gartner: NLG will become a standard in analytics

    Machine conquered man when Google’s AlphaGO defeated the top professional Go player, but the evolution of deep learning didn’t end with the game. Baidu improved speech recognition from 89% to 99% and deep-learning jobs grew from

    Arria NLG Plc

    5 Common Artificial Intelligence Myths

    There are a lot of myths out there about artificial intelligence (AI). In June, Alibaba founder Jack Ma said AI is not only a massive threat to jobs but could also spark World War III. Because

    Arria NLG Plc

    Arria NLG PLC: NLG HUMANIZES DATA

    Computers are one of the major causes of stress in the workplace. Many people are wary of them, and this is something they are reluctant to admit to their colleagues. Things change so fast it’s hard

    Arria NLG Plc

    How smart sensors and the IoT will evolve supply chains

    The world we live in is full of machine to machine (M2M) communication, some are visible, like our Fitbit, Nest or EZ-Pass and others operate behind the scenes. Pharmaceutical and consumer goods companies use ‘Internet of Things’

    Arria NLG Plc

    Using data to drive business intelligence

    Whilst it’s tempting to think of social data as largely frivolous, it is increasingly evident that it is capable of revealing a great deal about us, both collectively and individually. For instance, a Penn State study found that