The rise of artificial intelligence (AI) has reshaped the way enterprises think about data. AI agents, machine learning models, and modern analytics all depend on timely access to high-quality, well-governed data. This is why the data lakehouse architecture has become so critical, as it unifies the flexibility and scalability of data lakes with the reliability […]
This week’s list shines a light on the companies with the most impressive, vast and innovative data lake storage systems today, including AWS, IBM & Google A data lake is a centralised storage repository that can hold vast amounts of raw data in its native format until it is needed for analysis. Unlike traditional data warehouses that […]
Agentic AI is radically transforming software, moving beyond simple text generation models. They can reason, plan and execute complex tasks by interacting with external systems and APIs. But for most organizations, this powerful potential remains just out of reach, because the most advanced AI models are often isolated from the very tools, data and internal systems where […]
On Friday, September 19, we transformed our weekly Jam Session into a full-day of Super Sessions! Join us at http://insightjam.com to catch the next Jam Session. With Gartner predicting that 60% of AI projects will fail due to inadequate data preparation, this panel explores what “AI-ready data” actually means beyond traditional “good data” practices. Our […]
Beyond the hype of ever-larger language models, the practical challenge for business leaders is connecting AI to their core systems to deliver tangible results. For most organizations, AI’s promise remains unrealized due to the disconnect between powerful models and the critical business tools trapped within enterprise systems. The Model Context Protocol (MCP) is the emerging standard […]
Your telemetry data and business data don’t have to lead separate lives. Iceberg unlocks the value of logs, metrics, and traces by making them durable, queryable, and shareable at enterprise scale. Read the full story, via InfoWorld
Data has taken a new position in the spotlight as the most important part of using AI. If the organization is using corrupt data, insights will vary wildly, and misinformation can damage the company’s reputation. Poor data quality costs organizations at least $12.9 million per year on average, according to Gartner research from 2020. Data […]
A modern data architecture is the catalyst for AI-driven insight generation…. Read the full story, via TechTarget
AI developers face many challenges that can be easily addressed by embedding a semantic layer in the data platform. For example, imagine a developer building a model to better predict customer churn. They reach out to the sales and finance departments to obtain datasets containing customer sales history, along with information on payment status, contracts, […]
Agentic and generative AI are introducing new enterprise requirements for management and use of data, and leading software providers are meeting the moment with innovative hybrid data platforms, according to new research from global AI-centered technology research and advisory firm Information Services Group. Read the full story, via Benzinga.
Featuring Aniket Kulkarni, cloud architect at Dremio. The Converge360 “Elevator Pitch” video series spotlights trailblazing IT organizations that are helping enterprises navigate today’s AI space. Elevator Pitch videos feature interviews with executives who explain what their companies do, their target customers, how they use AI to solve common business problems, and how to get in touch with […]
Organizations have been locked in an ongoing debate over whether Snowflake or Databricks provides the superior data platform. Both companies have developed impressive ecosystems, offering analytics, AI capabilities, and data engineering solutions. However, these platforms often require organizations to move or transform large volumes of data into proprietary storage or specific formats, which leads to […]
It’s been quite a journey from relational databases to warehouses and beyond. As data reigns supreme and analytics needs become more immediate and complex, warehouses simply aren’t enough. They’re limited to handling structured data at high speed, but all information isn’t organized that way. As an answer to big data and its challenges, data lakes […]
Initially, semantic layers emerged quietly inside BI tools. These embedded layers allowed teams to define business metrics, hierarchies, and relationships directly within the reporting environment. This provided some structure in that teams using the same BI tool could reference the same definitions, but the benefits stopped there. When another department used a different tool, those […]
Over the past decade, we’ve watched data infrastructure evolve from on-prem monoliths to highly modular, cloud-native platforms. But let’s rewind the clock a bit further to see how we got here—and why Apache Polaris (Incubating) just might be the missing piece for truly scalable, governed data lakehouse architectures. Back in the Hadoop era, the goal was clear: […]
