Enterprise Related Topics 
CIO Business Intelligence
OCTOBER 29, 2024
The premise was that enterprises needed to secure their critical data more stringently in the wake of data hacks and emerging AI processes. I wrote, “ It may be even more important for the security team to protect and maintain the integrity of proprietary data to generate true, long-term enterprise value. Years later, here we are.
Analytics Vidhya
NOVEMBER 8, 2024
Fortunately, advancements in artificial intelligence (AI) are bringing out innovative solutions and tools […] The post AI Agents for Decision Makers: Your Guide to Building Next-Gen Enterprises appeared first on Analytics Vidhya.
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Analytics Vidhya
MAY 21, 2024
It is no longer a secret that emerging technology such as GenAI (Generative Artificial Intelligence) may revolutionize customer service and interaction, content creation, decision-making, creativity, and other organizational activities. […] The post GenAI Roadmap for Enterprises appeared first on Analytics Vidhya.
Analytics Vidhya
JUNE 30, 2023
Introduction to Enterprise AI Time is of the essence, and automation is the answer. Amidst the struggles of tedious and mundane tasks, human-led errors, haywire competition, and — ultimately — fogged decisions, Enterprise AI is enabling businesses to join hands with machines and work more efficiently.
Speaker: Shreya Rajpal, Co-Founder and CEO at Guardrails AI & Travis Addair, Co-Founder and CTO at Predibase
Large Language Models (LLMs) such as ChatGPT offer unprecedented potential for complex enterprise applications. However, productionizing LLMs comes with a unique set of challenges such as model brittleness, total cost of ownership, data governance and privacy, and the need for consistent, accurate outputs.
CIO Business Intelligence
OCTOBER 30, 2024
To overcome those challenges and successfully scale AI enterprise-wide, organizations must create a modern data architecture leveraging a mix of technologies, capabilities, and approaches including data lakehouses, data fabric, and data mesh. To learn more about how enterprises can prepare their environments for AI , click here.
Analytics Vidhya
APRIL 5, 2024
Cohere, a leading provider of enterprise-grade AI solutions, has chosen Microsoft Azure as the launch platform for its new large language model (LLM), Command R+. Also Read: […] The post Cohere Launches Command R+ on Azure, Leading the Way in Enterprise AI appeared first on Analytics Vidhya.
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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Enterprises are pouring money into data management software – to the tune of $73 billion in 2020 – but are seeing very little return on their data investments.
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