Danny Coleman
February 15, 2021
While AI offer many positive benefits, they can also lead to significant unintended consequences. AI is at a tipping point. Without ethical guidelines, regulatory standards & data driven insights, how will individuals, organizations and society learn to trust AI systems? In particular, fairness and bias are “grey areas” within AI that have significant consequences. Bias […]
Danny Coleman
November 24, 2020
Enterprise AI is grappling with moving siloed data science projects to a centralised system of human centric processes and frameworks. Artificial Intelligence (AI) should be termed “All Inclusive” as without a Multi-Stakeholder Management approach with leadership buy in, AI stays siloed, sat within labs or quite simply fails, hence an industry wide success rate of […]
Danny Coleman
September 2, 2020
Trustworthy AI is the number priority for business leaders for very good reason. Despite all the advances made with AI in academic breakthroughs, experimentation, methods, model build, accuracy, precision, recall and feature importance enterprises are still seeking greater insights into their AI models whether still in development or live in a production environment. Recalling AI […]
Danny Coleman
June 19, 2020
AI is a somewhat underspecified term and can mean many things to different audiences. However, in business, boardroom execs today are still seeking answers to what AI will truly deliver to their business. Many have spent millions of dollars, yet few have seen significant real-world impact and ROI. One exec recently remarked "In the current […]
Danny Coleman
May 11, 2020
Today more than ever enterprises are seeking immediate value from AI investments. Most enterprises have made significant AI investments yet continue to struggle with real world implementation of “why did the machine make its decision” and next best action. In order to deliver real-world AI, the fundamental and critical phases of ideation, experimentation, engineering and […]
Danny Coleman
May 5, 2020
When looking at the forecasted revenues of the AI market worldwide from 2018 to 2025 we see from $10 billion in 2018 to $126 billion in 2025. The business upside is significant, however with potential growth of this magnitude, risk and government regulation was inevitable. Governments around the world today see AI as a great enabler to […]
Danny Coleman
March 12, 2020
AI industry analysts state that AI projects and their real-world success metric is less than 8%. This is a staggeringly low number given the billions of investment and big bets being made. Unlike other traditional software implementations, AI has always been vague and it has been accepted that machines are correct in making their decisions. […]
Danny Coleman
November 1, 2019
With the plethora of AI Clouds, engines and platforms available to the enterprise everyone has an opinion on which is best to strategically lock into. AutoML still appears to still be the flavour of the day, however Chatterbox Labs see a different dimension to AI. Explainable AI by 2023 will be pivotal to any enterprise […]
Danny Coleman
September 16, 2019
Chatterbox Labs has been working towards solving XAI for numerous years. Many companies are claiming to be making breakthroughs in the area of XAI, however, our view is that unless you’ve excellent academic credentials, world class research scientists & world class product engineers, teams resort to infusing a single academic algorithm into a product offering […]