Fri.Jan 24, 2025

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Modernizing bp’s application landscape with AI

CIO Business Intelligence

One of the oldest and largest oil and gas companies in the world, bp is in the midst of a major transition as it pivots toward becoming an integrated energy company. As part of this transition, the company is aiming for a net-zero carbon footprint by 2050. The scope of its efforts so far is demonstrated by its shift into lower-carbon businesses, power trading, and convenience stores, which represented just 3% of its investment in 2019 but 23% in 2023.

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A Data Scientist’s Guide to Debugging Common Pandas Errors

KDnuggets

Check out this hands-on guide to resolving the most frequent pandas errors in Python data science workflows.

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Neural Network Weight Quantization

Analytics Vidhya

In the age of increasingly large language models and complex neural networks, optimizing model efficiency has become paramount. Weight quantization stands out as a crucial technique for reducing model size and improving inference speed without significant performance degradation. This guide provides a hands-on approach to implementing and understanding weight quantization, using GPT-2 as our practical […] The post Neural Network Weight Quantization appeared first on Analytics Vidhya.

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Collaborative Intelligence: Maximizing Human-AI Partnerships in the Workplace

KDnuggets

Collaborative intelligence encourages humans and AI to work together, combining human creativity with AI's speed and accuracy for better productivity and innovation.

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State of AI in Sales & Marketing 2025

AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.

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Mark Zuckerberg Announces $65 Billion AI Investment for 2025

Analytics Vidhya

Meta Platforms, led by CEO Mark Zuckerberg, is making a bold move to lead in the AI Space. The company plans to invest up to $65 billion in AI infrastructure and development in 2025. This investment will include: Building the Future: A Manhattan-Sized Data Center One of Meta’s most ambitious plans is the construction of […] The post Mark Zuckerberg Announces $65 Billion AI Investment for 2025 appeared first on Analytics Vidhya.

Analytics 208
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What’s the Real ROI of AI in 2025?

KDnuggets

Will AI's investment match up with the benefits?

ROI 85

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29% of CDOs don’t see a future in the position

CIO Business Intelligence

Nearly a third of IT leaders who hold chief data officer and similar roles at Fortune 1000 companies dont believe in the long-term future of the CDO position. Just over 29% of CDOs, chief AI officers, and people with similar jobs surveyed by the Data & AI Leadership Exchange believe the CDO role is a transitional one that will eventually disappear.

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Perplexity AI Mobile Assistant – The Master AI App We All Need

Analytics Vidhya

We use so many different apps on our phones everyday – one for web browsing, another for booking cabs, a third for finding hotels, and so many more! What if there was just one master app that could do all of this for you? Well, thats exactly what Perplexity AI has come up with. Perplexity […] The post Perplexity AI Mobile Assistant – The Master AI App We All Need appeared first on Analytics Vidhya.

Analytics 204
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Corporate One enables immediate payments with data orchestration hub

CIO Business Intelligence

CorporateOneFederal Credit Union, headquartered in Columbus, Ohio, is a non-profit thats provided investment, funding, and payment solutions to their members for nearly 75 years. During this time, its adapted to a lot of changes in the industry, and has always worked to ensure members dont get left behind. So it was around 2017 when there were several brainstorming sessions about how to innovate, and they realized there was a need to better orchestrate and enable the flow of messages from one fi

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ChatGPT Operator & Tasks – Is This the End of Agentic Platforms?

Analytics Vidhya

We now live in a world where we can send emails, set reminders, book flight tickets, and do a lot more through simple text prompts. With AI chatbot genies trained to believe Your prompt is my command, all you have to do is type out your wish. And voila! The agent will get it done […] The post ChatGPT Operator & Tasks – Is This the End of Agentic Platforms?

Analytics 203
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How to Achieve High-Accuracy Results When Using LLMs

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

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GenAI: The Game-Changer in Modern Marketing

Dataiku

Marketing has come a long way, but if youre still using the same strategies as you did five years ago, youre probably falling behind. It's 2025, and the marketing landscape is more like a rollercoaster than a slow, predictable ride. By harnessing the power of machine learning (ML) and AI notably GenAI ! companies now have the ability to create hyper-personalized marketing campaigns , generate relevant content at scale, and optimize their strategies like never before.

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OpenSearch Vector Engine is now disk-optimized for low cost, accurate vector search

AWS Big Data

OpenSearch Vector Engine can now run vector search at a third of the cost on OpenSearch 2.17+ domains. You can now configure k-NN (vector) indexes to run on disk mode, optimizing it for memory-constrained environments, and enable low-cost, accurate vector search that responds in low hundreds of milliseconds. Disk mode provides an economical alternative to memory mode when you dont need near single-digit latency.