After the first part of the latest trends in Data and Analytics, Team StackMantle brings to you, the second part of latest trends.
1. Data fabric This trend is tied closely to augmented data management, Sallam said, and it lets you support agile data at scale. It used to be the goal was to have all your data in a single data warehouse. But data has become more distributed. Data fabric by design is created for data in silos. It enables a logical data warehouse architecture that enables seamless access and integration of data across heterogeneous storage. Gartner forecasts that through 2022, custom-made data fabric designs will be deployed as static infrastructure, forcing a new wave of cost to completely redesign for more dynamic approaches.
2. Explainable AI "We believe this will be a critical lynchpin for you to be able to govern the increasing use of AI," Sallam said. That's because models are growing more complex and opaque. Organizations will need to be able to explain results for internal monitoring and also to comply with regulations. Organizations will need to know if there's a privacy risk in a model or if bias is detected. Sallam said vendors are working on this problem now and have plans to implement solutions. Gartner predicts that by 2023, over 75% of large organizations will hire AI behavior forensic, privacy, and customer trust specialists to reduce brand and reputation risk.
3. Blockchain This is a trend across many technology areas beyond data and analytics, Sallam said. But it's important in data and analytics particularly in the area of trust. "It is really about cryptographically supporting immutability across a network of trusted participants," Sallam said. It tracks if something has changed, so from a data perspective blockchain will be useful to track things like deep fakes or fake news. Gartner predicts that by 2021, most private and permissioned blockchain uses will be replaced by ledger DBMS products.
4. Continuous intelligence Continuous intelligence is about enabling smarter decisions through real-time data and advanced analytics. It incorporates situation awareness and prescribes the action to take. It is intelligent, automated, and outcome-focused, according to Sallam. Gartner predicts that by 2022 more than half of major new business systems will incorporate continuous intelligence that uses realtime context data to improve decisions.
5. Persistent memory servers These servers enable larger memory, affordable performance, and less complex availability, Sallam said. Some database vendors are rewriting their systems in order to support this type of server, which enables the analysis of more data, in-memory, and in real time.
Gartner predicts that by 2021 persistent memory will represent over 12% of in-memory computing memory GB consumption.
We honestly hope, this two article series of latest trends have helped you know a about the huge field.
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