Yash Mehta

A data mesh architecture treats data-as-a-product as the new way to empower each stakeholder or domain to unravel insights from data.

Data fabric and data mesh both strive to bring organization to the data that is spread across the databases or data lakes. Data fabric is very technology-centric, and data mesh focuses on organizational changes.

Data fabrics ensure organizational-wide and on-demand access to data sets needed for efficient operations and digital transformation.

The rapid rollout of 5G services will provide the needed bandwidth, low latency, and security for a variety of IoT applications.

The volume of data is outpacing the ability to handle it. As such, more attention must be placed on automating data preparation.

Data-driven content marketing saved the day during the pandemic. In 2021, content marketing will continue to make greater use of data analytics to create more personalized content for every user.

If issues in the adoption process aren’t addressed, the value realized through IIoT will be far short of projections.

Digitalization is, not surprisingly, driving up user data privacy concerns. Business need to take protective actions or regulators will step in. Increasingly, users are taking steps to control their own data.

AI tools can automate the process-oriented tasks by immediately filtering the people who are available for a meeting at a particular slot.

AI has found a greater responsibility in securing us from the unknown attacker.