Patterns, Predictions, and Prescriptions

We are entering a new and long-tail phase of software development with Machine Learning (ML). ML, a subset of AI, is the ability of a machine to produce accurate results for a particular problem without any explicit programming. These predictive results are derived from recognizing patterns in large data sets.
We are effectively giving machines the ability to gain experience.
This megatrend affects our applications, software tools, data structures, systems architecture, new hardware approaches, business processes, organizational interactions, enterprise strategies, government behavior, geopolitical strengths, ethics, data privacy, etc. In essence, ML is an inflection point for computing, enterprises, countries, humanity, and civilization.
We’ll explore some basic ML use cases, take a look at JSR #381 (Visual Recognition for Java), and then dive into issues, strategies, and the near-term and long-term directions of ML.
Speaker:
Senior Technology Consultant and Chairman @NYJavaSIG
Frank Greco is a senior consultant and enterprise architect with cloud, mobile computing, and machine learning experience located in the NY/NJ area. He is a frequent writer/blogger and author as well as additional achievements with startups, strategic technology/business partnerships, enterprise infrastructure, and emerging technologies, particularly for large enterprises. Co-author of #JSR 381 Visual Recognition for Java and a huge proponent of Java for Machine Learning.
Frank is a frequent global speaker at major technology trade shows such as JavaOne/CodeOne, QCon, Jfokus, Devoxx, et al. He chairs the "Enterprise IT Technology" and "Machine Learning for the Enterprise" conferences for Technology Transfer in Europe.
He is the Chairman of the NYJavaSIG (8.5K+ members), the largest (and first ever) Java User Group in North America, and has a deep understanding of developer communities, education/curriculum design, and diversity programs. Frank was recognized with the title "Java Champion" by Sun/Oracle as a leader and visionary in the Java Technology community.
In addition to his strong expertise in enterprise IT, Frank is also a semi-professional musician, decent cook, and terrible fisherman.

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