The majority of large enterprises have initiated research and development efforts to determine how AI can create value for their organizations. However, the measurable impact of these initiatives for enterprises has fallen short: most attempts to incorporate AI into business to date have not made it past proofs of concept.
How can you ensure your enterprise’s AI initiatives produce rapid results as well as long-term impact? DeepLearni.ng has distilled a framework for maximizing AI’s business value across multiple industry verticals.
Stephen Piron demonstrates how to evolve your enterprise with AI to meet both your business’s current and future objectives. Drawing from case studies that have already resulted in millions of dollars in savings and transformed enterprise operations, Stephen provides today’s business leaders with real-world examples and key insights on what successful AI deployments for enterprise comprise of.
This session is sponsored by DeepLearni.ng.
Stephen Piron is employee zero at DeepLearni.ng, which he cofounded with a vision to build deep learning systems that produce powerful results for enterprises in diverse industry sectors. Stephen is a serial tech entrepreneur who has owned successful companies on both sides of the Atlantic, which have been featured in dozens of publications including Wired, Fortune, and the Wall Street Journal. Between startups, Stephen also designed computer-based trading algorithms at one of the world’s largest hedge funds. Stephen is a passionate public speaker and once presented at an event at 10 Downing Street before David Cameron. Stephen studied computer science at the University of Toronto and spent a summer studying artificial intelligence at Stanford in the early 2000s—a time when neural networks were hardly acknowledged.
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