InfoQ Homepage Panel Content on InfoQ
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Practical Cryptography & Blockchain Panel
The panel discusses the most important trends involving the blockchain today and fields questions from the audience. Topics covered: smart contracts, oracles, sidechains, and blockchains.
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Solving Business Problems with AI
The panelists discuss using AI in the enterprise to solve business problems.
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Panel: What's Next for Our Programming Languages?
Martin Thompson asks the hard questions on choices made and moderates the discussion between the people behind some of the largest and most innovative languages in use by developers today.
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The Future of Artificial Intelligence
The speakers in this panel discuss the future of artificial intelligence.
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AI from an Investment Perspective
The panelists discuss AI from an investment perspective, the challenges, the risks, trends, the role of Deep Learning, successful AI use cases, and more.
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Panel: IBM, Westpac, Certus, and Enable Discuss APIs and Microservices
Dennis Ashby moderates a panel discussing the role of APIs in building microservices and the challenges to be overcome.
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Impact of Machine Learning Systems in Industries
The panelists discuss the impact machine learning is having on various industries.
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Solving Business Problems with Data Science
The panelists discuss how Data Science can help solve various problems for business.
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I've Pair Programmed for 30,000 Hours: Ask Me Anything!
Joe Moore answers many questions about pair programming and remote pair programming, from the poignant to the silly.
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Designing with Passion
Panelists answer questions on the languages they contributed to: How do you organize thoughts and code? What unique advances in usability did your language make? Why do your users love to code in it?
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Solving Business Problems with Data Science
The panelists discuss some of the unique problems that only data science can solve, the pitfalls and the success rate of data science projects.
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The Future of Data Science
The panelists discuss some of the trends in data science today, the job of a data scientist, the tools and other related issues.
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