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Generative AI’s role in increasing IT efficiency

CIO Business Intelligence

GenAI combined with causal AI can identify relationships between past and current incidents to suggest a root cause. In many cases, a genAI platform trained on the enterprise’s data — from telemetry data to knowledge base articles — can help individual employees, customers, and partners resolve IT issues all on their own.

IT 114
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I Actually Chatted with ChatGPT

O'Reilly on Data

I even contributed my own hot take last year with my O’Reilly Radar article Real-Real-World Programming with ChatGPT.) I recently chatted with ChatGPT, and I want to use that experience to reflect on the usability of voice interfaces for AI tools based on Large Language Models. What more is left to say by now?

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SMEs Use AI-Driven Financial Software for Greater Efficiency

Smart Data Collective

AI is driving major changes in the financial world. billion on AI in 2021 , but small businesses may spend even more on AI-driven financial management software. The banking industry is among those most heavily affected by AI. AI-based anti-money laundering solutions are also being used to prevent fraud.

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On Technique

O'Reilly on Data

In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. It’s easy to imagine a lot of software professionals saying, “Of course you’ll have to know C. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.

Software 264
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Best AI Tools for High-Frequency Algorithmic Trading

Smart Data Collective

DataMotion projects that the fintech sector will spend over $26 billion on AI by 2026. There are many great applications of AI in the financial sector. One of the best is the promise of taking advantage of high-frequency trading. There are a lot of great AI tools that help traders engage in high-frequency trading.

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How Big Data Analytics & AI Combined can Boost Performance Immensely

Smart Data Collective

Big data, analytics, and AI all have a relationship with each other. For example, big data analytics leverages AI for enhanced data analysis. In contrast, AI needs a large amount of data to improve the decision-making process. What is the relationship between big data analytics and AI? Customer retention and acquisition.

Big Data 106
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Where Programming, Ops, AI, and the Cloud are Headed in 2021

O'Reilly on Data

And that’s what I’d like to get to here: the real trends that aren’t reflected (or at best, are indirectly reflected) by the horse races. We’ve explored usage across all publishing partners and learning modes, from live training courses and online events to interactive functionality provided by Katacoda and Jupyter notebooks.