Reviews of Big Data events from the editors of insideBIGDATA. Too see all the big data events in your area click on 'Event Calendar" listed in the drop down menu under "Resources"

30 Influential AI Presentations from 2019

Our friends over at RE•WORK put on some amazing AI summits around the country and the world. The company has graciously made some of their top presentations from 2019 available for the data science community to freely view.

Scylla Summit 2019 Comes to San Francisco in November

Scylla community members are invited November 5-6 to Scylla Summit 2019 in San Francisco. Use discount code InsideBigData50 to save 50% on a 2-day summit pass. “See us unveil our latest features, including Lightweight Transactions and Change Data Capture, learn about product-ready capabilities beyond what’s available in Cassandra, like Workload Prioritization, Materialized Views and Global Secondary Indexes, and get a preview of Project Alternator, our open source DynamoDB-compatible API.”

Field Report: KDD 2019

As a very long time member of the ACM and their SIGKDD group, I’d always wanted to attend a KDD conference (first one occurred in 1995). This year I received a gracious invitation to attend KDD2019 in Anchorage, Alaska, August 4-8. It satisfied two of my bucket list items: witnessing a KDD first-hand and also […]

Field Report: GPU Technology Conference 2019 #GTC19

I eagerly attended my 3rd GPU Technology Conference (GTC): “Deep Learning & AI Conference,” in Silicon Valley, March 23-26 as a guest of host NVIDIA. GTC has become my favorite tech event of the year due to its highly focused topic areas that align well with my own; data science, machine learning, AI, and deep learning; plus the show has an academic feel that I appreciate.

Field Report: H2O World 2019 San Francisco

I was pleased to be on-hand for the recent (Feb. 4-5) H2O World 2019 conference in beautiful San Francisco. This was my first H2o.ai conference and I was looking forward to drilling down into their popular open source solutions for data scientists including the H2O machine learning platform, Sparkling Water machine learning platform on Spark, H2O4GPU accelerated AI for GPUs, as well as the groundbreaking Driverless AI automatic machine learning (AutoML) platform. With all this leading-edge technology and resulting industry buzz, I can see why the company recently ranked #9 on insideBIGDATA’s IMPACT 50 list of the industry’s most impactful companies.

Fast Machine Learning for Smart Cities: RocketML at Global Tech Jam

In this video from the Global Tech Jam 2018 conference on Smart Cities, Santi Adavani from RocketML describes how the company’s innovative software speeds Machine Learning. “To find the best model for a problem, data scientists try out different algorithms. With RocketML, they don’t have to. It is like a Hyperloop solution to go from point A to point Z. Simplified workflow yields new benefits.”

Big Data Day LA 2018

Get ready for the local big data event of the year! The 2018 edition of Big Data Day LA is taking place on Saturday, August 11, 2018 at the University of Southern California. This full-day conference is a great way to immerse yourself in everything data with sessions tracks on diverse topics: Data, AI/ML/Data Science, Emerging Tech, Infrastructure and Security, and Visualizations/UI/Use Cases.

Field Report: DataWorks Summit 2018

In this field report I wanted to give you a sense for what the vendor ecosystem was saying at DataWorks Summit, their corporate message if you will. Each company had a somewhat different slant of course which aligned with their products and services, but there was also a lot of commonality. Most everyone had some tie into the industry’s current buzz – AI, machine learning and deep learning. This was perfect for me as a practicing data scientist myself. Let’s get started with some vendor snapshots …

Big Data Meets HPC – Exploiting HPC Technologies for Accelerating Big Data Processing

DK Panda from Ohio State University gave this talk at the Stanford HPC Conference. “This talk will provide an overview of challenges in accelerating Hadoop, Spark and Memcached on modern HPC clusters. An overview of RDMA-based designs for Hadoop (HDFS, MapReduce, RPC and HBase), Spark, Memcached, Swift, and Kafka using native RDMA support for InfiniBand and RoCE will be presented.”

Analytics Development Life Cycle: Pangea is Panacea

Sai Prakash from HCL America gave this talk at the Stanford HPC Conference. “In this short talk we shall present an analytics workbench perspective (Pangea) that brings entire ADLC under single umbrella thus enabling collaboration, shrinking overall cycle time, easing model deployment efforts and allowing model monitoring. Actionable insights and visualizations are facilitated though service integration interfaces.”