CIO
DECEMBER 20, 2024
Data architecture definition Data architecture describes the structure of an organizations logical and physical data assets, and data management resources, according to The Open Group Architecture Framework (TOGAF). An organizations data architecture is the purview of data architects. Cloud storage.
CIO
NOVEMBER 27, 2024
To fully benefit from AI, organizations must take bold steps to accelerate the time to value for these applications. Adopting Operational AI Organizations looking to adopt Operational AI must consider three core implementation pillars: people, process, and technology. To succeed, Operational AI requires a modern data architecture.
This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.
CIO
NOVEMBER 19, 2024
You can utilize these agents through Copilot Studio to help your organization build and deploy AI agents. Microsoft recently announced the release of Copilot agents. These are preprogrammed agents that can help with certain tasks. These agents are already tuned to solve or perform specific tasks.
CIO
JANUARY 3, 2025
Because of the adoption of containers, microservices architectures, and CI/CD pipelines, these environments are increasingly complex and noisy. AIOps goes beyond observability tools Many organizations today conflate observability , which is just one important component of AIOps, with a full AIOps deployment.
Advertisement
In an effort to be data-driven, many organizations are looking to democratize data. To address this, a next-gen cloud data lake architecture has emerged that brings together the best attributes of the data warehouse and the data lake.
CIO
OCTOBER 30, 2024
In fact, a recent Cloudera survey found that 88% of IT leaders said their organization is currently using AI in some way. Barriers to AI at scale Despite so many organizations investing in AI, the reality is that the value derived from those solutions has been limited.
CIO
JANUARY 14, 2025
In todays digital-first economy, enterprise architecture must also evolve from a control function to an enablement platform. This transformation requires a fundamental shift in how we approach technology delivery moving from project-based thinking to product-oriented architecture. The stakes have never been higher.
Speaker: Jeremiah Morrow, Nicolò Bidotti, and Achille Barbieri
Data teams in large enterprise organizations are facing greater demand for data to satisfy a wide range of analytic use cases. How Agile Lab and Enel Group used Dremio to connect their disparate organizations across geographies and business units.
Advertisement
Fortunately, a next-gen data architecture enabled by the Dremio data lake service removes the need for replicated data, helping organizations to minimize complexity, boost efficiency and dramatically reduce costs. Read this whitepaper to learn: Why organizations frequently end up with unnecessary data copies.
Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services
Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. Keys to automation at different stages of organization maturity. Maintaining a culture of DevOps no matter what the size of your organization is. The "two pizza" team culture. How Amazon thinks about metrics.
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
We are excited to be joined by a leading expert who has helped many organizations get started on their cloud native journey. Of course, the key as a senior leader is to understand what your organization needs, your application requirements, and to make choices that leverage the benefits of the right approach that fits the situation.
Advertisement
Data architectures to support reporting, business intelligence, and analytics have evolved dramatically over the past 10 years. Download this TDWI Checklist report to understand: How your organization can make this transition to a modernized data architecture. The decision making around this transition.
Advertisement
Holding onto old BI technology while everything else moves forward is holding back organizations. Traditional Business Intelligence (BI) aren’t built for modern data platforms and don’t work on modern architectures.
Speaker: Ron Lichty, Consultant: Interim VP Engineering, Ron Lichty Consulting, Inc.
As a senior software leader, you likely spend more time working on the architecture of your systems than the architecture of your organization. Yet, structuring our teams and organizations is a critical factor for success. In fact, the impact of software architecture parallels the impact of organizational structure.
Speaker: speakers from Verizon, Snowflake, Affinity Federal Credit Union, EverQuote, and AtScale
Each panelist will present and discuss actionable strategies for making data as consumable as possible by everyone in the organization and for increasing data velocity for faster insights using a semantic layer. In this webinar you will learn about: Making data accessible to everyone in your organization with their favorite tools.
Expert insights. Personalized for you.
183 
Let's personalize your content