Definitive List of Artificial Intelligence Examples In Use

Published in

Jones Business

8 min readJan 24, 2018

‘Multidisciplinary Artificial Intelligence’ ¹ —the combined resource, human capital, technology, technical assistance, and Ontology (Data Science) to unleash and embrace the potential of individuals, systems, and policies.

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Artificial Intelligence is among us, and has useful applications. AI is the new electricity, and will transform every industry. Domain specific AI, and augmented intelligence may be the rise of new market verticals. Augmented intelligence may find solutions where we were unable or unwilling to. Without realizing it, we already use multiple forms of AI. In search we utilize machine learning, natural language processing, and image recognition.

Focusing on multiple disciplines is key. Today’s challenges intersect with multiple industries requiring broad skill sets able to assess, evaluate, and understand the solutions of tomorrow today. Many AI toolsets are out of box solutions ready to tackle tomorrow’s challenges today.

This was the beginning of a gathering place, conversation, and virtual incubator for executives, business owners, entrepreneurs, engineers, artists, and designers decentralizing specialized knowledge, relationships, and understanding of multidisciplinary artificial intelligence.

From past experiences I learned it was sometimes difficult to gain access to the right relationships and information. However the miracle of Digital Borders allowed anyone with a stable internet connection to collaborate and learn together in real-time.

Intrigued and inspired with the ideas of becoming a digital nomad was the beginning of an audience intelligence design firm. Along with professional email marketing and automation application, social media outreach plan for target audience, and coworking popup powered by a mobile cloud.

What does this mean?

What does it mean to turn every end computing device or smartphone into an incubator. What does it mean to turn every coffee shop, restaurant, sitting room, and underutilized office or commercial space into a coworking space?

Resilient societies will unleash and embrace the potential of individuals. Many papers, datasets, image recognition hierarchies, and software tools related to deep learning are open source. This has delivered a democratizing effect, empowering individuals to build powerful applications.

WhatsApp was able to build a global messaging system serving 900M users with just 50 engineers, compared to thousands of engineers needed for prior generations of messaging systems.

Sharing Economy Disruption is now happening in AI. Software tools like Theano and TensorFlow, with cloud data centers for training and inexpensive GPUs for deployment, allow individuals and small distributed teams to build state-of-the-art artificially intelligent systems. Or plug and play domain specific AI options with Movidius Neural Compute Stick.

Organizations, non governmental organizations, and digital communities will seek platforms to maximize profitability and sustainability in global markets. Emerging technologies, systems, and policies will require parsing to appreciate the cumulative effects on human beings, societies, states, and the planet.

Establishing safety standards, and common protocols for emerging information communication technologies (ICT), biotechnologies, and new materials are among us. The development and deployment of AI without regulatory standards can be inherently dangerous to humans. Failing to develop standards for Multidisciplinary Artificial Intelligence can lead to economic inefficiencies, and lost economic opportunities.