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Preparing For Tomorrow's Workforce In A World Run By Machines

Our increasing fascination with the hyper-performance of machines, smart software and AI is casting a shadow over our elusive and ephemeral ‘human-only skills.’ As our working environments shift dramatically it’s time for a change in our performance metrics, too. My recommendation comes in the form of ‘Key Human Indicators,’ designed to protect and encourage human agency in our future workforces. Let me explain. The current dialogue around the future of work is dominated by digitisation, cognification,… more

Top 10 Technology Trends Transforming Humanity Beyond Cyberspace, Geospace And Space

Introduction Human interest in exploring the unknowns has always been universal and enduring. While, over the years, the nature of exploration has changed fundamentally, humans have always been keen to explore the unknown and discover new worlds: be it beyond our geographical boundaries, new trade routes, lands or opportunities in cyberspace, geospace, and space (CGS). In pursuit of unknowns, it is our imagination, ideas, innovations and inventions that are helping us push the boundaries of our… more

Preparing The Human Workforce For The Machine Workforce

Introduction The machine workforce is on the rise. While technological innovation has always happened, existing and emerging technology is not only changing the pace of technological innovation exponentially, it is giving rise to an entirely new competitive workforce that is intelligent. As a result, it is not only the current models of business, governance, management, and technology that are being crushed under the weight of outdated economics of efficiency, but the human workforce and much of its old… more

Taxonomies vs. Ontologies

As semantics and linked data become increasingly mainstream, one question that seems to be asked increasingly has to do with a comparatively recent term, ontology, and how ontologies differ from taxonomies. Understanding this distinction is important in making decisions about metadata management, and as such affects anyone who deals with enterprise-level data. Most people have an intuitive understanding of what a taxonomy is, even if they can't necessarily articulate it formally. The Linnaeus Taxonomy,… more

The Increasing Expansion Of AI In Business And Government -- Insights From AI World

It’s clear that artificial intelligence is making its presence widely felt across a broad range of industries, organizations, and government sectors. The momentum continues since last year’s AI World event in Boston with many of the organizations represented deepening their investments and deployments of AI, machine learning, and deep learning technologies. AI Expanding Its Role in Healthcare AI is making its presence felt deeply in the healthcare, medicine, and life sciences. At the event, a broad range… more

The Dog That Did Not Bark In the Night: The Danger of Survivor Bias in AI

Artificial Intelligence is still (somewhat) of a buzzword, though in practice much of what is likely to be implemented in this current business cycle under that all-encompassing umbrella has been. Visual recognition systems, check. Speech recognition, check. Expert systems, check. Self-driving vehicles, check. Recommendation engines, yup. Business Intelligence tools with a healthy smattering of data science, check, check, check. None of them are quite perfect yet (and arguably some are a long way towards… more

Distributed Artificial Intelligence (Part II): A Primer On MAS, ABM And Swarm Intelligence

If you haven't already, read Part I here --> IV. Multi-Agent Systems Multi-Agent Systems (and Technologies) are a fairly old class of algorithms, where individual agents interact between each other based on pre-determined rules/constraints and, as a consequence, a collective behavior that is “good enough” emerges from those interactions. The interactions that occur in the systems are both between agents and between agents and the environment itself (and become computationally intractable as number of… more

Distributed Artificial Intelligence (Part I): A Primer On MAS, ABM And Swarm Intelligence

I. Setting the stage Almost two years ago, I paused to think about the future of AI and drew down some “predictions” about where I thought the field was going. One of those forecasts concerned reaching a general intelligence in several years, not through a super powerful 100-layers deep learning algorithm, but rather through something called collective intelligence. However, except for very obvious applications (e.g., drones), I have not read or seen any big development in the field and I thus thought to… more

The Role Of Smart Grids And AI In The Race To Zero Emissions

The term “smart grid” encompasses much more than just power delivery, though that is an important factor. At its core, the main pillar of a smart grid is a two-way connection of energy and information, but it goes much deeper than that. For maximum effectiveness and efficiency, a smart grid infrastructure should also include two more pillars: distributed generation and AI. According to Harvard’s Science in the News, the current power plant system in the US was “not built to accommodate the diversification… more

When Graphs Collide: The Coming Merger Of Property And Semantic Graphs

For most of us, the word graph brings back memories (not always pleasant) of pencils and rulers and quadrille ruled paper, though a more recent generation may think instead of pie and bar charts produced in Excel from spreadsheets. However, in the last few years, another form of graph, one that goes back to a whole branch of mathematics called graph theory, is beginning to have a huge impact in business, science and the world of artificial intelligence. A graph database is a class of data store that has… more