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. Ensure security and access controls.
CIO
NOVEMBER 27, 2024
People : To implement a successful Operational AI strategy, an organization needs a dedicated ML platform team to manage the tools and processes required to operationalize AI models. To succeed, Operational AI requires a modern data architecture.
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CIO
NOVEMBER 21, 2024
In our fast-changing digital world, it’s essential to sync IT strategies with business objectives for lasting success. Effective IT strategy requires not just technical expertise but a focus on adaptability and customer-centricity, enabling organizations to stay ahead in a fast-changing marketplace.
CIO
JANUARY 1, 2025
The successful execution of AerCaps growth through acquisition strategy involved many moving parts, among them merging two IT departments, a process that has plagued other high profile M&A projects in the past. Business strategy must drive IT decision making Business-first pragmatism is the key to understanding what makes Koletzki tick.
Speaker: Prem Chandrasekaran
In his best-selling book Patterns of Enterprise Application Architecture, Martin Fowler famously coined the first law of distributed computing—"Don’t distribute your objects"—implying that working with this style of architecture can be challenging. How these strategies can be applied in different size engineering organizations.
CIO
MARCH 27, 2025
[i] CIOs face mounting pressure to optimize their data strategy, manage vendors effectively, and accelerate digital transformation. We share three common mistakes that hinder data strategies and how they can be fixed. Companies collect on average 100+ data points per consumer, with at least 22% becoming obsolete each year. [ii]
CIO
FEBRUARY 11, 2025
The built-in elasticity in serverless computing architecture makes it particularly appealing for unpredictable workloads and amplifies developers productivity by letting developers focus on writing code and optimizing application design industry benchmarks , providing additional justification for this hypothesis. Architecture complexity.
Advertiser: Data Robot
As enterprises evolve their AI from pilot programs to an integral part of their tech strategy, the scope of AI expands from core data science teams to business, software development, enterprise architecture, and IT ops teams.
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Gain insights into Cassandra's architecture, configuration strategies, and best practices. Learn from Lewis DiFelice, an experienced Professional Services Consultant at Instaclustr, as he shares his journey transitioning from SQL to managing a 40-node Cassandra cluster. Download now and revolutionize your database operations!
Speaker: Tolga Tarhan, Senior Vice President, GM AWS Services at Onica
How to make the right architectural choices given particular application patterns and risks. We will hear about specific use cases where organizations leveraged serverless refactoring, containerization or a combination of both solutions, that resulted in improved performance, availability, and scalability.
Speaker: Naresh Soni, CTO, Tsunami XR
As technology leaders, it's time to rethink some of your product security strategy. Whether you need to rework your security architecture, improve performance, and/or deal with new threats, this webinar has you covered. What methods and architectures you should consider to proactively protect your data.
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. Avoiding common analytics infrastructure and data architecture challenges.
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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. What to consider when implementing a "no-copy" data strategy.
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