Date: Tuesday, 2019-Sep-17 6:00 PM
Location: Moscone South – Room 202
Session: DEV2161
Abstract: You hear everywhere that your job will be taken over by machines and that you need to be doing something else to be relevant. If the job involves making a decision based on a pattern or data analysis (radiology, for example), you can be sure that such a position will undergo a drastic transformation soon. Uber completed 10 billion rides in 2018, almost doubling the number of trips from 2017 to 2018. AI is used everywhere possible in Uber. Uber has changed your life and impacted millions of taxi drivers. This session goes over the basics of artificial intelligence, machine learning, and deep learning (DL) and discusses how these technologies impact you as a human being and as an IT pro. The future is bright; AI is a partnership, not a war.
The movies we watch usually portray intelligent machines being bad and set to destroy humans. Thanks to my colleagues who told me about the War Games movie. This one and the Terminator movie were released in the ’80s. AI is pure fiction in these movies, and give the notion that AI is something the humans must be scared of. AI has come a long way since the ’80s. Now AI is is part of our everyday life – We talk to “Siri”, ask “Alexa” to turn the light on or to play music.
The other aspect of AI is automation. They say the typical jobs that exist today will go away (like the DBA job). I think it is partly true – any job that involves repetitive tasks or analyzing images (radiology) will go through a transformation in the era of automation. That does not mean the job will go away. What you do may have to change.
AI and ML are going to play a major role in enterprises. To be successful and relevant, you must at least know the basics of AI & ML and understand how to use the AI/ML systems. If you are not familiar with Machine Learning, come to this introductory session to learn the basics, a few terminologies and most importantly what you can do to prepare yourself. Will share the job market trends and what is required to be a “Data Architect” or “Data Scientist”.
