Mon.Jun 10, 2024

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Protecting your digital transformation from value erosion

CIO Business Intelligence

Digital transformation programs promise a wealth of advantages, but unforeseen challenges can cancel out measurable value. Careful planning and holistically evaluating your system integration (SI) partner proposals are critical steps in your transformation initiative. It’s important to clearly identify what value you’re expecting to get from your partners against the price you’re paying, as well as the risk you’re taking on as a client.

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What is Labeled Data?

Analytics Vidhya

Introduction Many contemporary technologies, especially machine learning, rely heavily on labeled data. In supervised learning, models train using previous input-output pairs to generate predictions or classifications, relying on datasets where each element has an annotation with a label providing background information or indicating expected results.

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IT leaders rethink talent strategies to cope with AI skills crunch

CIO Business Intelligence

As head of transformation, artificial intelligence, and delivery at Guardian Life, John Napoli is ramping up his company’s AI initiatives. And a big part of that is scaling up AI talent. But Napoli, like many CIOs, is facing a tough labor landscape for highly sought skills. By most accounts, enterprise CIOs are rushing to hire for AI-related roles, putting them into fierce competition with one another — and with big tech companies and CTOs everywhere.

Strategy 136
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How to Use DDL Commands in SQL

Analytics Vidhya

Introduction SQL (Structured Query Language) is an important topic to understand while working with databases. It allows us to interact with databases efficiently. Data Definition Language (DDL) commands stand out among its many functions. These commands help define and manage the structure of database objects, making them essential for any database system.

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Entity Resolution: Your Guide to Deciding Whether to Build It or Buy It

Adding high-quality entity resolution capabilities to enterprise applications, services, data fabrics or data pipelines can be daunting and expensive. Organizations often invest millions of dollars and years of effort to achieve subpar results. This guide will walk you through the requirements and challenges of implementing entity resolution. By the end, you'll understand what to look for, the most common mistakes and pitfalls to avoid, and your options.

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10 GitHub Repositories to Master SQL

KDnuggets

Learn SQL and databases through free courses, tutorials, tools, guides, books, practice exercises, projects, awesome lists, and other resources.

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Understanding SQL Not Equal Operator

Analytics Vidhya

Introduction In SQL, comparison operators are crucial for querying databases. They help compare values and filter data based on conditions. The SQL Not Equal operator is one of the most used. It excludes specific data from query results, making it vital for database management. This operator refines data retrieval, ensuring you get relevant information.

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What is A* Algorithm? 

Analytics Vidhya

Introduction The A* (A-star) algorithm is primarily used for pathfinding and graph traversal. It is famous for its efficiency in determining the shortest path. Fields such as artificial intelligence, robotics, and game development rely on this algorithm. The A* algorithm’s key strength lies in its systematic exploration of a graph or grid. Starting from an […] The post What is A* Algorithm?

Analytics 280
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Salesforce actualiza Sales & Service Cloud con nuevas funciones

CIO Business Intelligence

El proveedor de software de gestión de las relaciones con los clientes (CRM) Salesforce ha incorporado nuevas capacidades a Sales and Service Cloud con actualizaciones de sus ofertas Einstein AI y Data Cloud. Las actualizaciones de Sales Cloud tienen como objetivo ayudar a las empresas a que las llamadas de ventas sean más productivas , e incluyen una mejora de IA generativa en Einstein Conversation Insights, Sales Signals y Einstein Copilot for Sales Actions.

Sales 110
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What is a Vector Database?

Analytics Vidhya

Introduction The use of vector databases has revolutionized data administration. They primarily address the requirements of contemporary applications handling high-dimensional data. Traditional databases use tables and rows to store and query structured data. Vector databases manage data using high-dimensional vectors or numerical arrays representing intricate characteristics of diverse data types like text, photos, or user […] The post What is a Vector Database?

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How Cloudinary transformed their petabyte scale streaming data lake with Apache Iceberg and AWS Analytics

AWS Big Data

This post is co-written with Amit Gilad, Alex Dickman and Itay Takersman from Cloudinary. Enterprises and organizations across the globe want to harness the power of data to make better decisions by putting data at the center of every decision-making process. Data-driven decisions lead to more effective responses to unexpected events, increase innovation and allow organizations to create better experiences for their customers.

Data Lake 107
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Leading the Development of Profitable and Sustainable Products

Speaker: Jason Tanner

While growth of software-enabled solutions generates momentum, growth alone is not enough to ensure sustainability. The probability of success dramatically improves with early planning for profitability. A sustainable business model contains a system of interrelated choices made not once but over time. Join this webinar for an iterative approach to ensuring solution, economic and relationship sustainability.

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Introduction to Seasonality in Time Series

Analytics Vidhya

Introduction Trends that repeat themselves over days or months are called seasonality in time series. Seasonal changes, festivals, and cultural events often bring about these variances. Understanding these patterns is essential since they greatly influence corporate results and decision-making. By analyzing these trends, businesses may more successfully plan, forecast, and adapt to predictable changes throughout […] The post Introduction to Seasonality in Time Series appeared first on Anal

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Las 8 certificaciones informáticas más demandadas en la actualidad

CIO Business Intelligence

¿Qué son las certificaciones informáticas? Las certificaciones de TI son designaciones profesionales ofrecidas por organizaciones y empresas para ayudarle a demostrar a los empleadores sus cualificaciones en habilidades, herramientas y áreas de conocimiento de TI específicas. Para obtener las certificaciones, tendrá que aprobar un examen, junto con cualquier otro requisito establecido por el organismo acreditador.

IoT 108
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Apple Joins the AI League with Apple Intelligence

Analytics Vidhya

Apple finally jumped into the AI game with Apple Intelligence, a new feature announced at WWDC 2024. The company promises a powerful and personal AI assistant that integrates across iPhones, iPads and Macs. Here’s a quick breakdown of the key features. Overview Siri with a New Look Apple Intelligence brings a significant upgrade to Siri. […] The post Apple Joins the AI League with Apple Intelligence appeared first on Analytics Vidhya.

Analytics 236
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CSO30 Awards: Introducing the top 30 security leaders in Saudi Arabia

CIO Business Intelligence

Cybersecurity leadership has become paramount in a world where digital threats loom large. Saudi Arabia, with its burgeoning digital landscape, is no exception. Recognizing the crucial role of cybersecurity leaders in safeguarding the Kingdom’s digital infrastructure, the first edition of the CSO30 Awards recently took place in Riyadh, showcasing the cream of the crop in the field.

Finance 104
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The Role of Data Products in Maximizing ROI from AI Initiatives

Stuck with stalled AI projects? Data silos and fragmented processes are likely culprits. This IDC report unveils Data Products as the secret weapon. By treating data as a product, organizations can overcome these challenges and unlock the true potential of AI. Learn how a unified data control plane empowers Data Products to deliver trusted, high-quality data for faster insights and improved decision-making.

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Understanding the Importance of Synthetic Data

Analytics Vidhya

Introduction We all know about Artificial Intelligence, don’t we? It is revolutionizing the technological landscape worldwide and is expected to grow enormously within the next decade. As AI marks its presence in industries worldwide, it goes without saying that we are looking at a world where life without AI will seem impossible. AI is making […] The post Understanding the Importance of Synthetic Data appeared first on Analytics Vidhya.

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Anticipating Tomorrow: Preparing for AI-Driven digital transformation at the upcoming IDC Saudi Arabia CIO Summit 2024

CIO Business Intelligence

Saudi Arabia’s rapid stride towards digital transformation is propelled by a concerted effort between the government and private sectors. With Vision 2030 as its guiding light, the Kingdom is embarking on ambitious projects, steering its course towards a tech-driven future. Collaborative initiatives are underway, aiming to harness the power of innovation and technology to realize these aspirations.

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Design a data mesh pattern for Amazon EMR-based data lakes using AWS Lake Formation with Hive metastore federation

AWS Big Data

In this post, we delve into the key aspects of using Amazon EMR for modern data management, covering topics such as data governance, data mesh deployment, and streamlined data discovery. One of the key challenges in modern big data management is facilitating efficient data sharing and access control across multiple EMR clusters. Organizations have multiple Hive data warehouses across EMR clusters, where the metadata gets generated.

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Jesús Montero (Aemet): “Tecnológicamente vivimos un momento sin parangón”

CIO Business Intelligence

Un organismo con solera y una historia apasionante. La Agencia Estatal de Meteorología (Aemet) data del siglo XIX, su origen se remonta al levantamiento del Instituto Central Meteorológico afincado en el Observatorio Meteorológico, junto al parque de El Retiro, al término del paseo de Coches. Desde entonces, relata Jesús Montero, coordinador de Telemática en la Aemet, han pasado por diversas manos, sendos ministerios y diversos apelativos.

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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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How to Convert JSON Data into a DataFrame with Pandas

KDnuggets

This short tutorial will guide you through the process of converting JSON data into a Pandas DataFrame.

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Cisco ThousandEyes optimiza las experiencias digitales en toda la red

CIO Business Intelligence

Las organizaciones compiten en un panorama digital donde la reputación de la marca, los ingresos y la productividad de los empleados dependen de ofrecer constantemente experiencias digitales excepcionales a cada usuario, en cualquier lugar y en todo momento. Sin embargo, la dependencia de infraestructuras tecnológicas y entornos de conectividad de terceros genera una gran complejidad para los equipos de redes y de TI.

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AI Can Do Wonders to Improve Internal Communication

Smart Data Collective

AI has helped companies improve their internal communications significantly, which is encouraging for many businesses in 2024.

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Apple Accelerates Innovation with SAP

Timo Elliott

Apple uses SAP at the core of their business and accelerates innovation with SAP Business Technology Platform. As part of the opening keynote of Sapphire last week, Apple’s VP of the Vision Products Group talked about Spatial Computing for the enterprise, showing off the apps that SAP has already developed. In addition, he talked about Apple’s strong commitment to SAP technology to run their own business: “SAP is at the heart of the infrastructure that runs Apple.

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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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How Dataiku Redefines Data Analytics for Modern Businesses

Dataiku

In the competitive landscape of data-driven decision making, selecting the right analytics platform is crucial for staying ahead. Dataiku offers a sophisticated solution that meets the modern demands of data processing, integration, and analysis. With its comprehensive suite of tools designed for scalability and adaptability, Dataiku enables businesses to fully exploit the potential of their data assets.

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Mastering budget control in the age of AI: Leveraging on-premises and cloud XaaS for success 

IBM Big Data Hub

As organizations strive to harness the power of AI while controlling costs, leveraging anything as a service (XaaS) models emerges as a strategic approach. In this blog, we’ll explore how businesses can use both on-premises and cloud XaaS to control budgets in the age of AI, driving financial sustainability without compromising on technological advancement.

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AI Act: l’intervista al co-relatore Brando Benifei. Guida per il CIO a una compliance sostenibile

CIO Business Intelligence

L’ AI Act compie i suoi passi formali finali: il consiglio dell’UE lo ha approvato il 21 maggio e la sua entrata in vigore è prevista a venti giorni di distanza dalla pubblicazione in Gazzetta Ufficiale, con la sua applicazione stabilita 24 mesi dopo l’entrata in vigore, salvo alcune eccezioni: i divieti relativi a pratiche vietate, che si applicheranno a partire da sei mesi dopo l’entrata in vigore; i codici di best practice (nove mesi dopo); le norme sui sistemi di IA per finalità generali, co

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5 SLA metrics you should be monitoring

IBM Big Data Hub

In business and beyond, communication is king. Successful service level agreements (SLAs) operate on this principle, laying the foundation for successful provider-customer relationships. A service level agreement (SLA) is a key component of technology vendor contracts that describes the terms of service between a service provider and a customer. SLAs describe the level of performance to be expected, how performance will be measured and repercussions if levels are not met.

Metrics 58
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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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Seven top central processing unit (CPU) use cases

IBM Big Data Hub

The central processing unit (CPU) is the computer’s brain, assigning and processing tasks and managing essential operational functions. Computers have been so seamlessly integrated with modern life that sometimes we’re not even aware of how many CPUs are in use around the world. It’s a staggering amount—so many CPUs that a conclusive figure can only be approximated.