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Big Data Industry Predictions for 2021

Data Predictions

Learn more about big data industry predictions for 2021.

While 2020 was an interesting year for us all, the technology industry saw many advances. Within the next year, we can plan to see big changes in data, how it is processed, stored, and handled. In a recent collaboration with insideBIGDATA, Scott Schlesinger, Global Data, Analytics Practice Leader, gave his insights as to what we have to look forward to in 2021.

Augmented Analytics and Self-Service

Augmented analytics and self-service will become more widely in demand given the distributed workforce and hunger for information. In response, traditional analytics will become increasingly disrupted by artificial intelligence (AI). The increase in a distributed workforce is going to create a greater demand for augmented analytics where the individual user is guided through the process of creating queries to get immediate answers to their data questions.

Convergence of Analytics and AI

We are seeing a converge of analytics and AI in two areas – at the infrastructure level and at the analyst level. People are beginning to realize that they have different data pipelines that are providing data for an analytics engine and they are building a different stack for machine learning (ML). Instead of two completely separate stacks, we see a convergence of these into an infrastructure that is easier to maintain while ensuring that the same data is being used to supply both engines. A second convergence will happen regarding a ‘hunger’ for information and bridging a gap to answer questions using data. Traditional analytics will start to get more disrupted by AI. Platforms (such as Tableau, Power BI, etc.) will start to get displaced by bots and virtual assistants that will be conversational in nature. We see this as a push to speed through a pull for self-service.

To learn more about what 2021 has in store for the data industry, read the full predictions article here.