As we bid farewell to 2016, the entire data industry is focused on cognitive computing as the path forward.
We’re all making predictions for how Cognitive Computing’s footprint in our lives will deepen in coming years.
One key assumption in everybody’s predictions is that somehow this resource called “cognition”—in other words, the substance of human thought, reasoning, and evidence-driven decision making — will continue to flow into every pore of the digital world. I don’t doubt that it will, but it seems to me that we’re all just assuming that it will, without directly examining the the trends that will make it happen.
For example, in this recent article , Mike Gualtieri of Forrester Research lists nine “AI technology building blocks” — Deep Learning, Machine Learning, Natural Language Processing, etc. — that rely on cognition. However, for no apparent reason, he fails to include cognition itself as a building block.
Clearly, the Artificial Intelligence (AI) revolution will lose steam if we don’t continue to find newer, more innovative approaches for harvesting this precious resource — consumable cognition — so that it can be infused into everything. Here are my predictions for how emerging practices of discovering, acquiring, and curating cognition will evolve in 2017 and beyond:
Historical cognition will become an even more central foundation of cloud-based AI apps: Deepening a trend that took root earlier in this decade, AI developers everywhere will continue to grow the historical subject-matter data sets of training and operational data upon which all of their statistical algorithms depend. In 2017 and beyond, more open data will flow into these knowledge bases, and their cognitive riches will be deepened through sophisticated metadata, taxonomies, ontologies, glossaries, semantics, and statistical algorithms.
Interaction cognition will enrich more smart apps: As conversational cognitive interfaces become commonplace–such as in chatbots , smart appliances , and autonomous vehicles–we’ll see more cognition sourced organically and transparently from interactions between human users and apps. In the coming year, we’ll see more cognitive apps that are built to learn adaptively and refine their real-time responses in line with learnings from interaction data.