2020 Theme – Human Centered AI

2020 Theme – Human Centered AI

Over the last two decades computers have advanced human’s abilities to perform our work, ensure our safety, and even lightened our workload. Interest in AI’s capabilities to expand human performance even further continues to increase. However, there is an accompanying fear that humans will lose control of the technology they create. 

In our theme this year, Human-Centered AI we seek to explore design systems that are both highly automated and allow a great degree of user control and will result in to expand human capabilities 1000-fold. If we can design AI which is “reliable, trusted, and safe” we can dramatically enhance human performance in the coming decade. 

Example of highly automated and allow a great degree of user control of AI

“Bank of America Merrill Lynch predicted that by 2025 the “annual creative disruption impact” from AI could amount to $14 trillion-33 trillion, including a $9 trillion reduction in employment costs thanks to AI-enabled automation of knowledge work; cost reductions of $8 trillion in manufacturing and health care; and $2 trillion in efficiency gains from the deployment of self-driving cars and drones. The McKinsey Global Institute, a think-tank, says AI is contributing to a transformation of society “happening ten times faster and at 300 times the scale, or roughly 3,000 times the impact” of the Industrial Revolution.” 

Changes to the Finance Industry

AI powered brokerage platform. Utilizing AI to analyze stock data, and looks for trends, and determine the best strategy for account growth. Brokerage+ will enter and exit a position base on real time opportunity assessment. Eliminating emotional decision making and remove uncertainty. Result: beat S&P by 30% in 2018.  

The A.I. powered robo-advisement consists of several dozen different investment algorithms subjected to over a million trading scenarios overnight to arrive at a subset with the highest probability for alpha in the next market session. 

Come prepared to the ever-changing market. Use our proprietary Event Based backtesting to score how well scans, entry signals, and trading plan perform over recent history. Allow Trade Ideas to optimize what parameters can change to further improve trading strategy results.  

Changes to the Home

The Nest learning thermostat uses behavioral algorithms to predictively learn from your heating and cooling needs, thus anticipating and adjusting the temperature in your home or office based on your own personal needs. 
Since 2011, Nest thermostats have saved around 51 billion KWh of energy.

Changes to your Workflow

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Tone detector https://www.grammarly.com/tone

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