CIO
APRIL 16, 2025
In a world where business, strategy and technology must be tightly interconnected, the enterprise architect must take on multiple personas to address a wide range of concerns. Solution architecture: Crafting an enterprise architecture that meets both technical and business requirements.
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.
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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.
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.
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
APRIL 15, 2025
In response, traders formed alliances, hired guards and even developed new paths to bypass high-risk areas just as modern enterprises must invest in cybersecurity strategies, encryption and redundancy to protect their valuable data from breaches and cyberattacks. Theft and counterfeiting also played a role.
CIO
JANUARY 7, 2025
CRAWL: Design a robust cloud strategy and approach modernization with the right mindset Modern businesses must be extremely agile in their ability to respond quickly to rapidly changing markets, events, subscriptions-based economy and excellent experience demanding customers to grow and sustain in the ever-ruthless competitive world of consumerism.
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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