Wed.Feb 14, 2024

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Prioritizing AI? Don’t shortchange IT fundamentals

CIO Business Intelligence

Generative AI continues to dominate IT projects for many organizations, with two thirds of business leaders telling a Harris Poll they’ve already deployed generative AI tools internally, and IDC predicting spend on gen AI will more than double in 2024. But the usual laundry list of priorities for IT hasn’t gone away. Fundamentals like security, cost control, identity management, container sprawl, data management, and hardware refreshes remain key strategic areas for CIOs to deal with.

IT 143
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Top 10 Artificial Intelligence Stocks to Invest in 2024

Analytics Vidhya

Introduction Investing in artificial intelligence (AI) stocks presents both exciting opportunities and unique challenges. AI technology has the capacity to revolutionize various sectors, attracting investors keen on capitalizing on its transformative potential. However, it’s crucial to recognize the associated risks and conduct thorough research before venturing into this dynamic market.

Risk 306
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Semantic Layers are the Missing Piece for AI-Enabled Analytics

KDnuggets

Integrating a semantic layer with Language Learning Models (LLMs) presents a clean solution to this, particularly in the realm of AI chatbots. This combination empowers businesses to generate fast responses and reports based on their data. Leveraging AI and semantic layers is advancing business intelligence, making it easier than ever for people to interact with data.

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Candlestick Chart: A Guide to Creating and Customizing in Python

Analytics Vidhya

Introduction Candlestick charts are a cornerstone in financial data visualization, offering traders and analysts a potent tool for deciphering market movements. These charts provide a concise and visually intuitive representation of price fluctuations over specified time intervals, enabling practitioners to discern patterns and trends quickly. These charts offer a holistic view of market dynamics, facilitating […] The post Candlestick Chart: A Guide to Creating and Customizing in Python ap

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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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What Is Data Lineage, And Why Does It Matter?

KDnuggets

If you’ve ever had conversations with data professionals, you’ve probably heard “data lineage” pop up quite a few times. So what is data lineage all about, and why is it important?

IT 111
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ChatGPT Can Now Remember Your Style and Preferences

Analytics Vidhya

ChatGPT, the AI-powered chatbot developed by OpenAI, is undergoing a significant upgrade with the introduction of a memory feature. This enhancement aims to personalize user interactions by allowing the bot to remember previous conversations and user preferences. While this feature holds promise for streamlining interactions, it also raises questions about privacy and user control.

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What is a Destructor in Python? Uses, Code Implementation and More

Analytics Vidhya

Introduction Python is a language known for its simplicity and readability. The concept of destructors may seem like an advanced topic reserved for the depths of object-oriented programming. However, understanding destructors and their role in resource management can greatly enhance the efficiency and reliability of Python applications. This article focuses into the purpose, functionality, and […] The post What is a Destructor in Python?

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CIO Business Intelligence

デジタル技術を活用してビジネスモデルを変革し、企業の競争上の優位性を確立するDX(デジタルトランスフォーメーション)を進めていくうえでAIを活用する企業が増えてきている。 AI活用することでビックデータの分析や分析結果に基づく予測を自動化することが可能になるだけでなく、事業戦略の立案や業務効率化の有効なツールにもなるからだ。 ATMサービスの変革によって現金だけでなく情報の出し入れができる「プラットフォーム」づくりに力を入れるセブン銀行はAIモデル(機械学習モデル)・データを活用し、2つの改革を進めている。   一つはATMやセブン&アイグループのデータを使って新しい商品やサービスを開発したり、潜在的な顧客ニーズを発掘したりして収益拡大につなげる「データビジネス」の領域。 そしてもう一つは各事業部門などが持つ社内データをAIで分析し業務の効率化を図る「データ経営」の領域だ。

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NVIDIA Introduces Chat with RTX: An AI Chatbot that Runs on Your PC

Analytics Vidhya

NVIDIA unveils Chat with RTX, a novel AI chatbot designed to revolutionize data analysis on Windows PCs. This innovative tool empowers users to interact with their documents and YouTube videos locally, leveraging the power of NVIDIA RTX GPUs. Let’s delve into the features and potential of this exciting new development. Also Read: Game Changer Alert: […] The post NVIDIA Introduces Chat with RTX: An AI Chatbot that Runs on Your PC appeared first on Analytics Vidhya.

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5 modi in cui i CIO possono aiutare l’IA generativa a raggiungere il suo momento di gloria

CIO Business Intelligence

La rapida adozione e il processo di democratizzazione che sta interessando l’IA generativa sono stati paragonati all’avvento della lampadina, che ha fatto lo stesso per l’elettricità, quasi 150 anni fa: la sua invenzione, avvenuta nel 1879, decenni dopo l’invenzione dell’elettricità (1831), ha portato a un radicale cambiamento nella vita per masse di individui e aziende, così come la gen AI sta facendo, oggi, per l’intelligenza artificiale.

Testing 98
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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Top 10 AI Animation Tools for 2024

Analytics Vidhya

Introduction In today’s fast-paced digital landscape, animators and content creators continually seek innovative tools to enhance their work efficiency and creativity. With the advent of AI, animation has undergone a remarkable transformation. Thus offering a plethora of options to bring images to life seamlessly. Whether you’re an aspiring animator or a seasoned professional, exploring the […] The post Top 10 AI Animation Tools for 2024 appeared first on Analytics Vidhya.

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Mapping the progress of Air New Zealand’s digital rebuild

CIO Business Intelligence

As a household name in international air carriers, Air New Zealand is used to punching above its weight, mainly due to being so remotely based; if you draw 1,200-mile line from Auckland, you don’t even get to the east coast of Australia. So meeting challenges to compete is nothing new, but business all but came to a halt during the pandemic in 2020.

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The most valuable AI use cases for business

IBM Big Data Hub

When thinking of artificial intelligence (AI) use cases, the question might be asked: What won’t AI be able to do? The easy answer is mostly manual labor, although the day might come when much of what is now manual labor will be accomplished by robotic devices controlled by AI. But right now, pure AI can be programmed for many tasks that require thought and intelligence , as long as that intelligence can be gathered digitally and used to train an AI system.

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Top 5 DataCamp Courses for Mastering Generative AI

KDnuggets

Learn the skills you require to kickstart your Generative AI journey with DataCamp - beginner, intermediate, and expert!

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Get Better Network Graphs & Save Analysts Time

Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

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Optimization Strategies for Iceberg Tables

Cloudera

Introduction Apache Iceberg has recently grown in popularity because it adds data warehouse-like capabilities to your data lake making it easier to analyze all your data — structured and unstructured. It offers several benefits such as schema evolution, hidden partitioning, time travel, and more that improve the productivity of data engineers and data analysts.

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Common English Entity Linking: Linking Text to Knowledge Fast and Efficient

Ontotext

Entity linking is the process of automatically linking entity mentions from text to the corresponding entries in a knowledge base. It has been an important capability for Ontotext ever since we dove into Natural Language Processing (NLP), as it is a crucial aspect of the interplay between text analysis and knowledge graphs. Usually, entity linking consists of two main tasks – named entity recognition and entity disambiguation.

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Ensuring Smooth MLOps With Unified Monitoring

Dataiku

The concept of an MLOps workflow should be as smooth as butter. The idea of monitoring models and data products should be seamless — incorporating automation, metrics, and checks to ensure that human intervention can swiftly address any issues. This approach allows organizations to continue their AI initiatives without disruptions. However, in practice, the smoothness of many MLOps strategies often falls between gravel and sandpaper.

Metrics 52
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Logitech MX Anywhere 3 Mouse

Data Science 101

The Logitech MX Anywhere 3 Mouse is a comfortable and very nice mouse. It has the traditional mouse shape with 2 buttons and a scroll wheel. It can pair with 3 different devices. Purchase the Logitech MX Anywhere 3 Mouse: [link] As an Amazon Associate I earn from qualifying purchases.

IT 45
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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The future of renewable energy

IBM Big Data Hub

Renewable energy is energy produced from Earth’s natural resources, those that can be replenished faster than they are consumed. Common examples include solar power, hydropower and wind power. Shifting to these renewable energy sources is key to the fight against climate change. Today, a variety of incentives and subsidies help make it easier for companies to lean on renewable resources as a stable source of power to help alleviate the climate crisis.

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How can businesses prepare their workforce to have the digital skills of tomorrow’s AI-powered workplace?

CIO Business Intelligence

While the past few years have left us with a business landscape scarred by the impact of economic and geopolitical uncertainties, the current AI movement has become a rocket ship for significant transformative changes set to accelerate new opportunities. Alongside this AI buzz is the exponential data growth within every enterprise; studies show that global data creation is projected to grow to more than 180 zettabytes by 2025.

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The future of renewable energy

IBM Big Data Hub

Renewable energy is energy produced from Earth’s natural resources, those that can be replenished faster than they are consumed. Common examples include solar power, hydropower and wind power. Shifting to these renewable energy sources is key to the fight against climate change. Today, a variety of incentives and subsidies help make it easier for companies to lean on renewable resources as a stable source of power to help alleviate the climate crisis.