It may be time to stop talking about machine learning and artificial intelligence as technologies of the future. <\/p>\n
On Tuesday, Aug. 15, engineers and developers from across the region shared how these technologies are at work today, dramatically transforming products, operations, business processes and, most importantly, the customer experience. <\/p>\n
Sponsored by Comcast, PHLAIbrought together hundreds of technologists for a full day of tech talks and networking focused on machine learning and AI (heres our preview piece from July). More than 20 speakers filled three tracks on operations, product and business intelligence with subjects ranging from using deep learning to prevent human trafficking; to the technology behind Pinterest recommendations; to Comcasts own X1 Voice Remote and the machine-learning that powers our homegrown Natural Language Processing platform. <\/p>\n
While the applications for these technologies span the widest possible range of uses, the unifying theme throughout the PHLAI talks was that artificial intelligence and machine learning have already deeply transformed the way we do business and deliver service to customers, and that transformation is only accelerating. <\/p>\n
Comcast Chief Product Officer Chris Satchell kicked off the day sharing some lessons from his early background developing AI for video games, including the critical importance of factoring customer behavior and attitudes into decisions made in the development process. Its fine for AI systems to be complex, Satchell said, but if a customer cant build a mental model of whats happening in the background, they tend to dismiss it as random. <\/p>\n
Dave Ward, CTO of Engineering and Chief Architect at Cisco, painted a compelling picture of how machine learning and AI applications arent just growing but also converging as the boundaries between traditional AI domains like security, automation, Internet of Things and marketing begin to dissolve. Machine learning and AI arent magical algorithms, Ward said, but the reality may be much more exciting, as these technologies deliver real customer value and become increasingly mainstream. <\/p>\n
Another key takeaway from the event was the importance of human intervention at every step of the AI and machine learning implementation process. Even mature AI and machine learning systems will learn bad behaviors (false positives, etc.) and must be properly operated to yield the best result. Things that are hard, or even impossible for the human mind can be trivial for AI, but the reverse is also true. The best AI outcomes come from people and machines working together. <\/p>\n
One thing that was on full display at PHLAI was the vast breadth of engineering leadership coming out of Philadelphia. While participants and speakers came from as far away as California, the vast majority were based here. <\/p>\n
PHLAI is the third in a series of one-day technical conferences that we kicked off in January with Scala by the Schuylkill. Response to these events has been incredible. Our final event of the year, which focuses on the craft of software development, is already in the works, and were planning another full slate of technical conferences right here throughout 2018. <\/p>\n
In just these three events, we confirmed something we already knew: the technology and engineering community in Philadelphia is amazing, diverse and growing, and that we are capable of great things when we come together. <\/p>\n
Were looking forward for many more events to come. Keep an eye on the Comcast Labs blog for news about upcoming conferences and how to register. <\/p>\n
Jeanine Heck serves as Executive Director in the Technology and Product organization of Comcast Cable. In this role, Heck brings artificial intelligence into XFINITY products. She was the founding product manager for the X1 voice remote, has led the launch of a TV search engine, and managed the companys first TV recommendations engine.<\/p>\n
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Exploring the human side of artificial intelligence at PHLAI - Technical.ly Philly<\/a><\/p>\n","protected":false},"excerpt":{"rendered":" It may be time to stop talking about machine learning and artificial intelligence as technologies of the future. On Tuesday, Aug Continue reading