Explore Innovative Methods with Data Science & AI at IM DATA Conference 2021
IM Data conference unites the brightest industry professionals, in numerous data science and technical fields to talk about innovative methods in data science, machine learning and AI. IM Data is an annual, international, two-day, multi-track conference for data scientists, machine learning engineers, analysts, data science managers and C-level decision makers.
Learn from some of the top academics and practitioners in the field of data science at our Pre-conference training program on October 26th. This diverse training program is suitable for individuals with a range of skill levels from beginner to professional. Our instructors include university professors and experts in KNIME workflows.
- How Data Analytics Can Be Misleading
- Virtual Data Science Learnathon with KNIME
- Social Media Analysis for COVID impacts
- Reconciliation of Data from Different Statistical Sources to Measure the Same Variables
- Current data science and machine learning applications in the medical and aerospace industry
What you’ll learn:
Newest AI developments, and how they are affecting the way research is being conducted, computer vision, deep learning, neural networks, Tensorflow, and NLP. Top-of-mind topics such as data ethics, data privacy, governance and security will also be covered.
For job seekers and recruiters, we’ve included an interactive job fair and tailored content to help you be successful in one of the fastest growing industries. Expect to see speakers from the top Fortune 500 companies sharing use cases about their recent research and how their projects directly benefit the technical community.
The format includes a combination of talks, panels and training sessions with an optional expo, job fair and lots of time for networking. Learn from leaders in the data science industry face-to-face and engage with other members of your local data science community at an evening reception.
Past Sponsors & Partners
IM Data Conference 2021
Hybrid Event | October 27 – 28