Australia based analyst firm, Gartner, published the top 10 trends for data technology in 2019. The firm claimed that analytics powered by artificial intelligence and machine learning will be the dominating trend in data technology in 2019.
The analytics firm asserted that augmented analytics, continuous intelligence and explainable artificial intelligence (AI) have the considerable potential to generate the new upsurge in the data and analytics markets for the next three to five years. Augmented analytics being the next-generation data and analytics paradigm uses a machine learning technique for the automation of data preparation and for gaining insight for its widespread users.
During the Gartner’s Data & Analytics Summit in Sydney on 18 February, the firm revealed in their research that manual data management will be reduced by 45% by 2022 with the self-configuring systems. Moreover, continuous intelligence: the integration of real-time analytics with the enterprise operation; was ranked to be the third biggest trend as by 2022 more than half of the new business systems will be built on this technology.
The vice president of Gartner said: “Continuous intelligence represents a major change in the job of the data and analytics team. It’s a grand challenge and a grand opportunity for analytics and BI (business intelligence) teams to help businesses make smarter real-time decisions in 2019. It could be seen as the ultimate in operational business intelligence.”
The fourth topmost trend revealed in the summit was the ‘explainable AI’ which has the ability to make the interpretable and explainable models. However, the firm proclaimed that these models are complex black boxes which are not capable of explaining the aspiration for reaching the specific decision.
Gartner also predicted that by 2022, 75% of new end-user solution based on artificial intelligence and machine learning techniques will be built with commercial solutions rather than open source platforms. The research also revealed the importance of blockchain and distributed ledger technologies, persistent-memory technologies in the analytical technology trends of 2019.
The vice president and analyst Donald Feinberg said. “The continued survival of any business will depend upon an agile, data-centric architecture that responds to the constant rate of change.”