Mon.Dec 04, 2023

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NVIDIA Prioritizes Japan for Supply of AI Processors

Analytics Vidhya

In a crucial move reflecting the global race for dominance in artificial intelligence (AI) technology, NVIDIA CEO Jensen Huang has affirmed the company’s commitment to prioritizing Japan’s soaring demand for AI processors. This commitment aligns with Japan’s ambitious endeavors to revitalize its semiconductor infrastructure and make significant strides in AI technology development.

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The CIO’s new role: Orchestrator-in-chief

CIO Business Intelligence

CIOs today find themselves in a unique position to survey everything taking place across their organization, find opportunities, resolve conflicts, set priorities, and help shape strategy. In other words, they are uniquely situated to function as their companies’ de facto orchestrators-in-chief. “It’s really only the CIO and the CEO who have this perspective,” says Irving Tyler, distinguished research vice president with Gartner’s CIO Research team.

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What is the Importance of Data Culture in Organizations? 

Analytics Vidhya

Introduction Culture is what people do when no one is looking. Herb Kelleher ( Co-Founder, SouthWest Airlines) In today’s fast-paced business landscape, making informed decisions is crucial. Do you know that 60% of businesses stress the importance of empowering employees with data literacy through strategic training? Additionally, a whopping 75% of business leaders see the […] The post What is the Importance of Data Culture in Organizations?

Analytics 312
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Fortifying the bridge between tech and business in the C-suite

CIO Business Intelligence

Historically, the relationship between technology and business leader has tended to be transactional: a business leader has an objective they want to meet, and they’ll ask their technology leaders to figure out how to achieve their goals. Need to embed a tool on your website to collect emails for lead generation? Check. Seeing reports of a new technology?

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15 Modern Use Cases for Enterprise Business Intelligence

Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?

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OpenAI Prepares for GPT-6 and GPT-7 Launch: Trademarks Applied in China

Analytics Vidhya

In a strategic move indicative of its commitment to advancing artificial intelligence (AI), OpenAI has recently applied for trademarks for GPT-6 and GPT-7 in China. This follows the company’s earlier trademark applications for GPT-4 and “Whisper.” Despite OpenAI’s services not being accessible in China, this proactive step underscores the company’s global vision and its continual […] The post OpenAI Prepares for GPT-6 and GPT-7 Launch: Trademarks Applied in Ch

Analytics 308
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Mastering Data Science Workflows with ChatGPT

KDnuggets

This article highlights the skills data scientists can learn to make the most use of the prowess of ChatGPT.

More Trending

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Ask yourself: How can genAI put your content to work?

CIO Business Intelligence

By Bryan Kirschner, Vice President, Strategy at DataStax One of the major findings of our recently released State of AI Innovation report was how bullish managers and technical practitioners were about generative AI enhancing, rather than threatening, their careers. A key reason why I think they’re right is generative AI’s ability to operate in useful ways using content that people already produce–or could produce quite easily.

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ChatGPT Essentials: The Data Science Cheat Sheet You Need

Analytics Vidhya

Introduction Welcome to the world of data science, where algorithms, statistics, and domain expertise converge to extract meaningful insights from vast datasets. In this era of technological advancement, having the right tools at your disposal can make all the difference in navigating the intricate landscape of data analysis. Enter “CHATGPT for Data Science Cheat sheet,” […] The post ChatGPT Essentials: The Data Science Cheat Sheet You Need appeared first on Analytics Vidhya.

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What goes well with Viña Concha y Toro wines? Meat, fish, poultry, and SAP

CIO Business Intelligence

How do you improve efficiency without compromising quality? Achieving that goal has become even more essential and challenging for the wine industry in the face of climate change, increased competition on a world level, labor shortages, and other issues. Yet, one of the world’s largest wine producers is succeeding, paired with SAP. Founded in Chile more than 139 years ago, Viña Concha y Toro owns approximately 12,000 hectares (more than 29,600 acres) of prime vineyards, with production facili

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5 Steps on How to Approach a New Data Science Problem

Analytics Vidhya

Introduction Data science is a dynamic field that thrives on problem-solving. Every new problem presents an opportunity to apply innovative solutions using data-driven methodologies. However, navigating a new data science problem requires a structured approach to ensure efficient analysis and interpretation. Here are five essential steps to guide you through this process. 5 Steps on […] The post 5 Steps on How to Approach a New Data Science Problem appeared first on Analytics Vidhya.

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8 Steps to Transformation at Speed & Scale – Your Guide to Deploying StratOps

📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.

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How financial institutions can deliver value from investment in digital operational resilience

IBM Big Data Hub

The Digital Operational Resilience Act (DORA) is a landmark piece of legislation in the European Union (EU) that is designed to help fortify the operational resilience of the financial sector, making it fit for purpose in the digital age. DORA has several objectives, including to comprehensively address information and communications technology (ICT) risk management in the financial services sector and harmonize the ICT risk management regulations that already exist in individual EU member state

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Alibaba Prioritizes This Over Quantum Computing

Analytics Vidhya

Alibaba, the Chinese tech giant, has recently announced a major shift in its strategic priorities by discontinuing its quantum computing unit. This decision, part of a broader restructuring effort, follows the abandonment of a planned cloud business launch and aims to reallocate resources towards emerging technologies, with a specific focus on generative artificial intelligence (AI). […] The post Alibaba Prioritizes This Over Quantum Computing appeared first on Analytics Vidhya.

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Introduction to Multithreading and Multiprocessing in Python

KDnuggets

Learn about Multithreading and Multiprocessing environments using Python with their implementation and limitations.

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Big News: Google Delays Launch of Gemini AI Model

Analytics Vidhya

In an unexpected development, Google has chosen to postpone the highly-anticipated launch of its cutting-edge AI model, Gemini, until January of the upcoming year. Reportedly, there were performance concerns emerging in the model’s reliability with non-English queries. This prompted a meticulous fine-tuning process. The process is led by Sundar Pichai, Google’s CEO directly.

Modeling 278
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Marketing Operations in 2025: A New Framework for Success

Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com

Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.

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3 myths hindering your business from adopting generative AI 

IBM Big Data Hub

Generative AI holds enormous potential for driving business growth. It offers ease of integration and scalability for analytics and AI workloads using your company’s data, and offers guardrails for ensuring governance, security and compliance. So, why do millions of small enterprises believe that impactful AI is only accessible to big companies with deep pockets?

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A Step-by-Step Guide for Small Language Models on Local CPUs

Analytics Vidhya

Introduction In natural language processing, language models have undergone a transformative journey. While attention often gravitates towards colossal models like GPT-3, the practicality and accessibility of small language models should not be underestimated. This article is a comprehensive guide to understanding the significance of small language models and provides a detailed walkthrough on how to […] The post A Step-by-Step Guide for Small Language Models on Local CPUs appeared first o

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A look into IBM’s AI ethics governance framework

IBM Big Data Hub

“Organizations are responsible for ensuring that AI projects they develop, deploy or use do not have negative ethical consequences,” as per Gartner. Yet while 79% of executives say AI ethics is important to their enterprise-wide AI approach , less than 25% have operationalized ethics governance principles. In a new case study featuring IBM, Gartner talks about how to establish a governance framework to streamline the process of detecting and managing technology ethics concerns in AI

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6 GenAI Podcasts You Should Be Listening To

Analytics Vidhya

Introduction In the rapidly evolving landscape of artificial intelligence, the field of generative AI (GenAI) stands out as a fascinating and dynamic domain. As technology advances, understanding the nuances of this field becomes crucial, but staying updated can be challenging. GenAI, known for its capacity to create new content and data, is still a relatively […] The post 6 GenAI Podcasts You Should Be Listening To appeared first on Analytics Vidhya.

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Prepare Now: 2025s Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin

As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.

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Generative AI Key Terms Explained

KDnuggets

This article introduces and explains key terms important to generative AI, and links to additional resources to learn more.

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A guide to efficient Oracle implementation

IBM Big Data Hub

By implementing Oracle , one of the world’s leading enterprise resource planning (ERP) tools, organizations can transform their business processes and significantly increase operational efficiency. Companies large and small are increasingly digitizing and managing vast troves of data. ERP systems like Oracle’s streamline business processes and reduce costs, leveraging information to help organizations make better decisions in rapidly changing landscapes.

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Survivorship Bias Cartoon

Timo Elliott

“I never learned about survivorship bias and I turned out okay!” This is a concept that is incredibly relevant to digital innovation—because when the people on stage tell you how to be successful, you’re not seeing all the other people that followed that same advice but failed miserably. Here, for example, is professor Scott Galloway explaining why the “worst advice you will ever hear in business school” is “follow your passion” Scott Galloway explains w

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Top 5 criteria for developers when adopting generative AI

IBM Big Data Hub

The surge in adoption of generative AI is happening in organizations across every industry, and the generative AI market is projected to grow by 27.02% in the next 10 years according to Precedence Research. Advacements in machine learning algorithms, neural networks and the computational power of generative AI, combined with human expertise, intuition and creativity, can unlock new possibilities and achieve levels of innovation that were previously unimaginable.

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The Ultimate Guide To Data-Driven Construction: Optimize Projects, Reduce Risks, & Boost Innovation

Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network

In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.

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How to Bring Your Technical Tables to Life

Depict Data Studio

Just because I’m pro-graph, I’m not anti-table. Technical tables have so much value, especially as visual appendices for reports. In this blog post, you’ll get ideas for bringing your technical tables to life. Before Here’s what the “before” version of some technical tables looked like. These are made-up numbers, but you get the idea.

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How generative AI can transform the aviation industry 

IBM Big Data Hub

The aviation industry is under pressure to improve the sustainability of air travel while improving operational efficiency in an increasingly complex marketplace that is still recovering from the impact of the COVID-19 pandemic. In an industry where safety is paramount and new technologies require utmost scrutiny, generative AI promises to boost aviation businesses and their industry partners.

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Advancing AI: The emergence of a modern information lifecycle

CIO Business Intelligence

I appreciate the zen that envelops me when I get lost in a good puzzle. But, truth be told, that ‘zen’ doesn’t happen until I’m attuned to the puzzle’s colors, shapes, and patterns. Once I am, the border falls into place, colors get grouped, images form, and I eventually become familiar with the intricate details and shapes of the remaining pieces. Although less complex than the “4 Vs” of big data (velocity, veracity, volume, and variety), orienting to the variety and volume of a challenging puz

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Examples of IBM assisting insurance companies in implementing generative AI-based solutions  

IBM Big Data Hub

IBM works with our insurance clients, and research conducted by the IBM Institute for Business Value (IBV) shows three key imperatives that guide insurer management decisions: Digital orchestration Improved core productivity (business and IT) The need for flexible infrastructure To meet the key imperatives and facilitate the transformation of their companies, insurers need to: Provide digital offerings to their customers Become more efficient Use data more intelligently Address cybersecurity con

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Launching LLM-Based Products: From Concept to Cash in 90 Days

Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage

Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.

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AI in Manufacturing: Enterprise Enablement in 3 Use Cases

Dataiku

The use of AI and advanced analytics has been gaining pace in the manufacturing industry across a variety of core functions, from product design to supply chain management. And while it's important to highlight and understand the host of AI-driven solutions that can be applied to common industry headaches, it's equally important to appreciate the ways in which AI is not just about finding and using the specialty tools that fit niche problems.

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The future of business planning with generative AI?

IBM Big Data Hub

In the rapidly-evolving business ecosystem, many companies face a combination of challenges, including inflation, supply chain disruptions and a complex labor market. These factors exert significant pressure on profitability. In this scenario, traditional planning methods may hinder a company’s ability to respond quickly and strategically to changing opportunities and challenges.   This is where autonomous planning shines.

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A Beginner’s Guide to Embedded Analytics and BI

Jet Global

As analytics technology evolves, so do user needs and expectations. Many customers approach us hoping to boost their application’s analytics capabilities, which are often struggling to meet user demand. We hear the same analytics needs and challenges time and again: Scalability and customization – Many of our clients struggle with the lack of embedded BI and Analytics solutions that can offer customized experiences, meet the needs of different user groups, provide a competitive advantage,