Meet Graham and Marcelo, two innovators who are passionate about AI software and its potential for empowering progress
Graham MackIntosh is a pioneer in the field of advanced analytics, working as an AI consultant for NASA and the SETI Institute. Hear how NASA is using AI software to understand solar events, detect failures and expand our understanding of the universe. And discover lessons learned that you can apply to future work involving machine learning and big data. (1)
Marcelo Labre is an executive director and AI evangelist at Morgan Stanley. He discusses the need to break through points of resistance to machine learning by demonstrating the advantages of applying AI solutions to real problems within the financial industry, healthcare, consumer analytics and more. Learn how you can get buy-in on AI and effectively implement AI models to your enterprise business as well. (1)
As AI capabilities rapidly evolve it’s vital to scale from experimentation to implementation. The artificial intelligence companies successfully achieving AI at scale are disproportionately financial outperformers. How do they accomplish this? By confronting data issues and bridging the AI skills gap. Find out how your business can do the same and become an AI innovator.
Applications like machine learning and deep neural networks require an AI infrastructure that can handle higher workloads and storage needs. Learn more about how you should be preparing for the big data of AI.
Once your AI infrastructure is prepared for big data and advanced analytics, you need a solid data strategy to help ensure the success of those analytics projects. Learn the five steps to take as you prepare that strategy.
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