Most real-world data science workflows require more than multiple cores on a single server to meet scale and speed demands, but there is a general lack of understanding when it comes to what machine learning on distributed systems looks like in practice. Gartner and Forrester do not consider distributed execution when they score advanced analytics software solutions. Many formal machine learning training occurs on single node machines with non-distributed algorithms. In this talk we will discuss why an understanding of distributed architectures is important for anyone in the analytical sciences. We will cover the current distributed machine learning ecosystem. We will review common pitfalls when performing machine learning at scale.
We will discuss architectural considerations for a machine learning program, and introduce a methodology for choosing the appropriate machine learning architecture for a given use case.
Our Speakers/Facilitators:
Josh Poduska HPE - Senior Data Scientist
Josh Poduska is a Senior Data Scientist in HPE’s Big Data Software Group. Josh has 16 years of experience as a practitioner in the analytical sciences with an emphasis on machine learning and statistical applications. He spent the last six years focusing on advanced analytical solutions with MPP columnar databases. At HPE he is part of the Vertica team and enjoys helping organizations solve their toughest data challenges.
About Our Sponsor: ConvergeOne
ConvergeOne is Your Partner for Achievement
Founded in 1993, ConvergeOne is a leading communications service provider offering custom information, communications and data solutions and services. Decades of knowledge and expertise have been invested to create best-in-class solutions in customer experience, collaboration, contact center, cloud, data center computing, networking and security. The company has earned more than 1,400 industry certifications with over 200 technology partnerships including Avaya, Cisco, Microsoft, Interactive Intelligence and IBM. Expertise across the portfolio enables ConvergeOne to partner with customers to achieve business outcomes regardless of the technology. Professional and Managed services provide customers a full complement of solutions to design, build and operate their environments. ConvergeOne Cloud enables customers to benefit from the latest collaboration solutions with industry leading pay per use models offering maximum flexibility and risk mitigation.
We hope you can make it to this event!
Cheers,
AIM Board
The premier association of IT leaders in the Intermountain Area. AIM-Utah, Salt Lake City, UT