The Data Standard
From artificial intelligence to small data and graph technology, data and analytics leaders should think about leveraging data industry trends. When COVID-19 hit, organizations using traditional analytics techniques that rely heavily on large amounts of historical data realized one important thing: Many of these models are no longer relevant. Essentially, the pandemic changed everything, rendering a lot of data useless. In turn, forward-looking data and analytics teams are pivoting from traditional AI techniques relying on “big” data to a class of analytics that requires less, or “small” and more varied.
Each of the trends fit under one of these three main themes:
- Accelerating change in data and analytics: Leveraging innovations in AI, improved composability, and more agile and efficient integration of more diverse data sources.
- Operationalizing business value through more effective XOps: Enables better decision making and turning data and analytics into an integral part of business
- Distributed everything: Requires the flexible relating of data and insights to empower an even wider audience of people and objects.
Meet The Host
Data scientist at The Data Standard
Catherine Tao is a tech enthusiast looking for new methods for building connections with businesses around the world. Her extensive knowledge of data science allowed her to develop new solutions and implement them into existing ecosystems. She is currently working as a Data scientist and Exclusive Podcast Producer at The Data Standard.
Meet The Guest
Senior Director of Reporting and Analytics at Keyot
Paul is a business leader with deep experience in Data Science and Business Intelligence. Paul specializes in building custom models to solve business problems and drive decision making.