Enterprise Related Topics 
CIO
SEPTEMBER 17, 2024
CIOs often have a love-hate relationship with enterprise architecture. On the one hand, enterprise architects play a key role in selecting platforms, developing technical capabilities, and driving standards.
CIO
OCTOBER 1, 2024
CISOs are preparing to ensure their organizations’ security in the age of artificial intelligence and getting ready for the implications of quantum computing on IT systems and enterprise software. CISOs are also experiencing career changes.
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CIO
SEPTEMBER 10, 2024
More organizations than ever have adopted some sort of enterprise architecture framework, which provides important rules and structure that connect technology and the business. The results of this company’s enterprise architecture journey are detailed in IDC PeerScape: Practices for Enterprise Architecture Frameworks (September 2024).
CIO
SEPTEMBER 29, 2024
G2 calculates rankings using a proprietary algorithm sourced from verified reviews of actual product users and is a trusted review source for thousands of organizations around the world. another small business user.
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If you’re considering migrating from DataStax Enterprise (DSE) to open source Apache Cassandra®, our comprehensive guide is tailored for architects, engineers, and IT directors. Whether you’re motivated by cost savings, avoiding vendor lock-in, or embracing the vibrant open-source community, Apache Cassandra offers robust value.
CIO
SEPTEMBER 26, 2024
Looking beyond existing infrastructures For a start, enterprises can leverage new technologies purpose-built for GenAI. This layer serves as the foundation for enterprises to elevate their GenAI strategy. Underpinning this is an AI-optimized infrastructure, the first layer (or the nuts and bolts) of the factory itself.
CIO
SEPTEMBER 17, 2024
Change is a constant source of stress on enterprise networks, whether as a result of network expansion, the ever-increasing pace of new technology, internal business shifts, or external forces beyond an enterprise’s control.
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Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution.
Advertiser: Datadog
In this eBook from Datadog, Orderbird CTO Frank Schlesinger tells the story of the company’s journey from 99.9% uptime to 99.99% uptime. He explains why this seemingly small improvement is actually a major leap and describes the five key steps to get there.
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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To do so, modern enterprises leverage cloud data lakes as the platform used to store data for analytical purposes, combined with various compute engines for processing that data. 451 Group’s research indicates 57% of the enterprises currently using a data lake cite improved business agility as a benefit.
Speaker: Data Robot
Enterprise AI maturity has evolved dramatically over the past 5 years. Most enterprises have now experienced their first successes with predictive AI, but the pace and scale of impact have too often been underwhelming. Now generative AI has emerged and captivated the minds and imaginations of leaders and innovators everywhere.
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In this whitepaper you will learn about: Use cases for enterprise audio. Deepgram Enterprise speech-to-text features. How you can label, train and deploy speech AI models. Overview of Deepgram's Deep Neural Network. Why Deepgram over legacy trigram models.
Advertiser: Datadog
Through assessments, Datadog has distilled the top five business outcomes organizations see when leveraging Datadog’s observability platform, like increased customer conversion, and what this could mean for other enterprise organizations.
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Data fuels the modern enterprise — today more than ever, businesses compete on their ability to turn big data into essential business insights. Increasingly, enterprises are leveraging cloud data lakes as the platform used to store data for analytics, combined with various compute engines for processing that data.
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