Enterprise Related Topics 
CIO
JUNE 21, 2024
The market for enterprise applications grew 12% in 2023, to $356 billion, with the top 5 vendors — SAP, Salesforce, Oracle, Microsoft and Intuit — commanding a 21.2% IDC attributed the market growth to the adoption of AI and generative AI integrated into enterprise applications. With just 0.2% With just 0.2%
CIO
JULY 17, 2024
Japanese cloud service and data intelligence firm, Fujjitsu, has formed a strategic alliance with Cohere, a Toronto and San Francisco-based enterprise AI company known for its focus on security and data privacy, to develop and provide secure, cutting-edge generative AI solutions for Japanese enterprises.
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CIO
MAY 22, 2024
In the beginning, no one needed enterprise architecture (EA) tools. The modern enterprise, however, is much different. The back of an envelope would do in the early years. It needs EA tools.
CIO
MAY 22, 2024
In the beginning, no one needed enterprise architecture (EA) tools. The modern enterprise, however, is much different. The back of an envelope would do in the early years. It needs EA tools.
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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
JUNE 18, 2024
Enterprise resource planning (ERP) is ripe for a major makeover thanks to generative AI, as some experts see the tandem as a perfect pairing that could lead to higher profits at enterprises that combine them. But companies should first identify a problem AI can solve, he advises.
CIO
JULY 2, 2024
Together, they create an infrastructure leader uniquely qualified to guide enterprises through every facet of their private, hybrid, and multi-cloud journeys. VMware Cloud Foundation – The Cloud Stack VCF provides enterprises with everything they need to excel in the cloud.
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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.
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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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.
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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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