Databricks: The Future of Data Ethics
The current state of wide data is that it is not as widely used for Artificial Intelligence as it is for analytics. While analytics needs a treasure trove of historical data, AI merely needs a variety of big data.
And big data needs AI, too. It’s the most efficient and effective way for organisations to optimise their processes and identify their audiences.
But how can we use machine learning practices and AI to tackle critical business challenges?
In this 3 part EM360 Podcast series with Findability Sciences we have previously discussed 'What Big Data Discussions Ignore' In Episode 1. In this second episode, we are joined once again by the Founder and CEO Anand Mahurkar to talk about:
- The relationship between wide data, learning and machine learning
- Critical business challenges when it comes to AI mimicking a more human process
- Why we should be using wide data for AI
Meet the panel
Orion Governance: Data Governance for the Digital Age
Threatlocker: Stay Ahead of the Changing Attack Landscape using Zero Trust
Anomalo: Why Data Quality Monitoring is Essential
Informatica: The Journey to Cloud Modernization
Big Data and AI Paris is back for its 11th edition
Opening Keynote Speaker for Big Data London (21-22 September 2022) announced as Zhamak Deghani – founder of the Data Mesh concept
Incorta: Raw Data and the Art of Real-time Analytics
2600Hz: The Evolution of Business Communication
Omada: The Pitfalls of IGA Deployments
Safe Software: How Location Intelligence Powers Real-Time Decisions