Chris Reuter, North America data warehousing sales leader, IBM, presented a keynote at Data Summit 2018 on the key trends in IT today and what organizations must do to advance their organizations.
Reuter focused on three main themes in the marketplace:
- According to IDC, data will see a 30% CAGR through 2025 – that means you have think about how over the next 7 years you are going to deal with 30% CAGR on data. Cognitive systems themselves create all kinds of data and metadata so you have got to be able to store, analyize and govern that data.
- According to McKinsey, investment growth in AI has increased 3x since 2013. Getting actual projects into production is hard but we need to infuse cognitive computing and AI into the data, he noted.
- According to Gartner, there is value in all approaches to cloud, whether the strategy is pure cloud or not, depending on the enterprise and end goals.
This is why, he said, you need a data management strategy – in order to deal with exponential growth of data; infuse AI, machine learning, and cognitive models in to your analytical capabilities and provide access to citizen data scientists; decide on the right place for your data in the cloud or on premise, Hadoop, or distributed. The answer is: an open platform, not a closed platform as your backbone, using that open platform as your hub with spokes to other open and closed technologies.
It is not about one or the other: cloud or on-premise, and a data strategy should not be either/or. And, it is also not about tradiiotnal relational or open source, said Reuter.
What is needed instead, said Reuter is a hybrid data management strategy that provides access to all data, regardless of source or type; the flexibility to support changing workloads and consumption cases; enables intelligent analytics such as machine learning at the data source; and provides access to insights across the business, its functions, and to all users - not just the power users - for better decision making.