ai-achievements 
Cloudera
JANUARY 30, 2024
In the dynamic landscape of modern manufacturing, AI has emerged as a transformative differentiator, reshaping the industry for those seeking the competitive advantages of gained efficiency and innovation. There are many functional areas within manufacturing where manufacturers will see AI’s massive benefits.
Analytics Vidhya
APRIL 24, 2024
Achieving a truly lean business model requires a deeper dive into efficiency. This is where AI can help. Artificial intelligence (AI) presents a transformative solution, […] The post Leveraging AI for Cost Reduction for Businesses appeared first on Analytics Vidhya.
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Analytics Vidhya
APRIL 29, 2024
Introduction Incorporating Artificial Intelligence (AI) into Data Analytics has become a revolutionary force in the era of abundant data. Artificial Intelligence (AI) enhances conventional analytics techniques by leveraging machine learning and natural language processing to achieve previously unheard-of efficiency, accuracy, and creativity.
Analytics Vidhya
MAY 3, 2024
In a series of candid discussions, Sam Altman, the CEO of OpenAI, has made bold statements about the future and financial commitment of his company towards achieving Artificial General Intelligence (AGI). Altman has […] The post Is Sam Altman Crazy or a Genius?
Advertiser: Data Robot
Capitalizing on the incredible potential of AI means having a coherent AI strategy that you can operationalize within your existing processes. Download this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. AI storytelling in communicating value to your organization.
Teradata
FEBRUARY 23, 2023
To become an AI achiever, companies need capabilities to operationalize at scale to achieve business value. Find out how ClearScape Analytics & Vertex AI can help.
DataRobot
MARCH 29, 2019
AI has tremendous potential for benefiting humanity in every area of how we live and work. While most people realize this fact, their hopes for AI also come with a note of caution. Another public opinion poll reported that an overwhelming majority of Americans ( 82% ) believed that AI should be carefully managed.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. Aarushi Kansal, AI leader, is here to explore ongoing testing and evaluation strategies tailored specifically for LLM-based applications. It’s no surprise given the non-deterministic nature of LLMs.
Advertiser: Data Robot
In our AI in Manufacturing eBook, you can learn how to solve your most urgent manufacturing and business needs with an enterprise AI platform. Get this eBook to learn about: Achieving ROI with AI and delivering valuable results with urgency. Their problems and needs don’t change, but the technology and solutions do.
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Download this guide for practical advice on how to use a semantic layer to unlock data for AI & BI at scale. How to achieve speed of thought query performance and consistent KPIs across any BI/AI tool, such as Excel, Power BI, Tableau, Looker, DataRobot, Databricks and more.
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Want ballpark estimates of value and benefits achieved through optimization. Want examples where optimization is used in combination with other types of AI techniques, such as machine learning. This guide is ideal if you: Are curious about the different application areas for mathematical optimization.
Speaker: Dr. Greg Loughnane and Chris Alexiuk
Technology professionals developing generative AI applications are finding that there are big leaps from POCs and MVPs to production-ready applications. However, during development – and even more so once deployed to production – best practices for operating and improving generative AI applications are less understood.
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