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It is an exciting time to be part of the Big Data world. Each day seems to introduce new technologies, with improvements for existing approaches and techniques. Businesses are recognizing the importance of making data-driven decisions, which means your boss is willing to invest in helping you learn about the field.
For anyone in the analytics community, it can be challenging to stay on top of all the changes, especially considering regular distractions at work. This is where data and analytics conferences come in. There is no better way to squeeze in everything you need to advance your career in analytics, learn new skills, and make new human connections.
To help you make the most of your time and money, we created a list of recommended Big Data conferences. The event websites provide a lot more detail, but this summary can help you create a travel short list of your own.
AI World focuses on the state of enterprise AI and machine learning. The conference and expo is designed to help business and technology executives learn how advanced intelligent technologies are being successfully deployed to build competitive advantage, drive new business opportunities, reduce costs and accelerate innovation efforts.
The main KDD conference was three days long in 2017, with hands-on tutorials, presentations, and keynotes from full-time academics from institutions including Harvard and UC Berkeley. One track is Applied Data Science Invited Talks, wherein industry leaders from companies like Facebook, Target, and Bosch join data science educators to discuss topics that cover the bleeding edge of data science. KDD 2017 sessions included “It Takes More than Math and Engineering to Hit the Bullseye with Data” and “Planning and Learning under Uncertainty: Theory and Practice.”
Data Futures 2019 is dedicated to exploring the future of data and analytics. It offers attendees sessions by expert instructors who will educate them on how to enable rapid scalability and elasticity, manage users and data security, and democratize their analytics efforts. Half and full day sessions are available and will cover both the technical and business, regulatory and societal challenges facing the big data community.
2018 marks the 22nd Enterprise Data World conference. As with its predecessors, its attention is on data management from both a technical and business perspective, with an emphasis on the business end.
Enterprise Data World is a relatively long event, with a six-day program that includes introductory, intermediate, and advanced sessions. That makes it suitable no matter how much you already know, everything from “Data Curation: A Coordinated Practice for Data Management (Introductory),” to “Data Quality Assessment and Measurement (Intermediate),” to “Data Modeling for Document and Graph NoSQL Databases, Hands-On (Advanced).”
The 5th Global Machine Intelligence in Healthcare Summit will showcase the opportunities of advancing methods in machine learning and their impact across healthcare and medicine. Learn the AI tools and techniques set to revolutionise healthcare applications, medicine & diagnostics from a global line-up of experts
Gartner conferences are not inexpensive. But it’s the best way to hear from Gartner analysts about looming trends, best practices, and recommended vendors. Most of the speakers for the 2018 event are Gartner analysts, except for two highlights: author Daniel Pink and inspirational speaker John O’Leary.
The IoT Data & AI Summit is dedicated to bringing the value of artificial intelligence and IoT together. Network with a targeted audience to make high quality, relevant connections, and join technical and strategic sessions exploring the massive potential of AI within IoT. You will dig into strategic deployments of AI, the creation and education of AI, and its use within enterprise, industrial, and consumer markets, as well as how to develop secure AIs to protect the IoT.
Formerly known as Strata + Hadoop World, the Strata Data Conference series is put on by O’Reilly and Cloudera, and focuses on using data to gain business advantage.
Big Data LDN is a free to attend conference and exhibition where delegates discuss the big questions and share ideas with forward-thinking peers and leading members of the Data community.
TWDI conferences focus on hands-on workshops, presentations, and boot camps, emphasizing practical skills as well as the latest data and analytics trends.
Each conference is staunchly vendor-agnostic, so none of the sessions are a hard sell in disguise. You can still get conference swag from vendors, but you have to go to the exhibit hall rather than the course rooms.
More than 50 sessions are offered in full- and half-day time periods, including four introductions to basic data science concepts. Examples of other sessions include “Data Virtualization: Solving Complex Data Integration Challenges,” “Hands-on: Introduction to Data Mining with R,” and “Data Storytelling: Bringing Data to Life.”