Awesome Companies in AI 2026🔒 SSL Verified

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• ↓ Database Elaborations
• ↓ DBA Corner
• ↓ SQL Server Drill Down
• ↓ Emerging Technologies
• ↓ Next-Gen Data Management
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"Since the sudden explosion of generative AI with OpenAI's debut of Chat-GPT in 2022, AI itself has quickly evolved to act as different things to different organizations and people—sometimes lacking alignment. Adoption of AI in some form is now widespread, with McKinsey research suggesting that 88% of organizations are deploying AI in at least parts of their organizations. However, just as many report no significant bottom-line impact. To help readers gain a greater understanding about this complex area of information technology, the solutions available, and their role in handling real-world challenges, DBTA and Big Data Quarterly present the list of Awesome Companies in AI. Read More"

"In the world of database management, there are a handful of phrases that make experienced DBAs uneasy. Statements such as "we'll fix it in production" or "the database can handle it" usually signal that trouble is coming. But there is another phrase that may be even more dangerous: "It's just data." Read More"

"What technologies for the data-driven era are emerging now? As you might guess, much of the activity seen across the market is connected to AI. At the same time, there is a critical data element that needs both to support AI implementations, as well as be supported by AI. DBTA queried industry leaders to get their views on the most compelling technologies now emerging in this data-driven era. Read More"

"We hear a lot about AI's benefits to productivity for data teams, but less about the potential risks. The moment the problem becomes real usually looks something like this: an engineer connects an AI assistant to a NoSQL database, such as MongoDB, through an MCP server or a similar tool-calling interface. At the time, they consider it safe to grant the AI direct authentication with their own credentials instead of using best practices such as delegated authorization. It takes twenty minutes. The agent can now query live data, return results, and feed them into whatever workflow it's part of. Nobody updates the access policy, scopes the authorization down, or asks what the agent can actually reach. Read More"

Key Topics & Focus Areas for dbta.com:

Database Elaborations

DBA Corner

SQL Server Drill Down

Emerging Technologies

Next-Gen Data Management