Wed.Oct 02, 2024

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Data Leader’s Playbook for Data Mapping

TDAN

I’ve been thinking a lot about data mapping lately. I know, weird, right? With analytics, AI, cloud, etc., why would someone do that? What’s even stranger is that I’ve been thinking about its impact on data leaders.

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Automating Email Sorting and Labelling with CrewAI

Analytics Vidhya

Introduction Never would have the inventor of email –Ray Tomlinson– thought of how far this piece of tech would reach in the future. Today, email is the prime pillar of corporate and professional communications and is used in innumerable facets of the working world. And this has propelled the creation of a whole set of […] The post Automating Email Sorting and Labelling with CrewAI appeared first on Analytics Vidhya.

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3 things to get right with data management for gen AI projects

CIO Business Intelligence

According to Kari Briski, VP of AI models, software, and services at Nvidia, successfully implementing gen AI hinges on effective data management and evaluating how different models work together to serve a specific use case. While a few elite organizations like Nvidia use gen AI for things like designing new chips, most have settled on less sophisticated use cases that employ simpler models, and can focus on achieving excellence in data management.

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Ultimate Roadmap to Becoming a Tech Professional with Harvard for Free

KDnuggets

Jumping into the technology world doesn’t have to be so daunting.

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Optimizing The Modern Developer Experience with Coder

Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.

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Accenture forms new Nvidia business group focused on agentic AI adoption

CIO Business Intelligence

Accenture and Nvidia announced an expanded partnership Wednesday with Accenture’s new Nvidia business group focused on helping customers rapidly scale AI adoption. Accenture said the new group will use Accenture’s AI Refinery platform — built on the Nvidia AI stack, including Nvidia AI Foundry, Nvidia AI Enterprise, and Nvidia Omniverse — to help clients create a foundation for use of agentic AI.

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How to Use R for Text Mining

KDnuggets

Text mining in R helps you explore large text data to find patterns and insights. This article walks through the basics of using R for text mining, from data preparation to analysis.

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How to Compute Moving Averages Using NumPy

KDnuggets

Learn how to calculate moving average in Python with NumPy.

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Data as a Product: Needs and Requirements

David Menninger's Analyst Perspectives

I previously wrote about data mesh as a cultural and organizational approach to distributed data processing. Data mesh has four key principles—domain-oriented ownership, data as a product, self-serve data infrastructure and federated governance—each of which is being widely adopted. I assert that by 2027, more than 6 in 10 enterprises will adopt technologies to facilitate the delivery of data as a product as they adapt their cultural and organizational approaches to data ownership in the context

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Efficient Knowledge Management for Data Teams Using Notion

KDnuggets

Leverage the collaboration platform efficiently to improve our team's workflow.

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The role of IoT in shaping smart cities

CIO Business Intelligence

As people increasingly migrate from rural areas to cities for better economic opportunities and improved living standards, modern municipalities are faced with challenges. By 2050, an estimated 68% of the global population will reside in urban environments, placing immense strain on existing infrastructure and resource allocation. Cities are embracing smart city initiatives to address these challenges, leveraging the Internet of Things (IoT) as the cornerstone for data-driven decision making and

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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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Deprecation of Lake Formation’s Governed Tables Feature

AWS Big Data

After careful consideration, we have made the decision to end support for Governed Tables , effective December 31, 2024, to focus on open source transactional table formats such as Apache Iceberg , Apache Hudi , and Linux Foundation Delta Lake. This decision stems from customer preference for these open source solutions, which offer ACID-compliant transactions, compaction, time travel, and other features previously provided by Governed Tables.

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Beyond the hype: Key components of an effective AI policy

CIO Business Intelligence

In today’s rapidly evolving technological landscape, artificial intelligence (AI) plays a pivotal role in transforming businesses across various sectors. From enhancing operational efficiency to revolutionizing customer experiences, AI offers immense potential. However, with great power comes great responsibility. Creating a robust AI policy is imperative for companies to address the ethical, legal and operational challenges that come with AI implementation.

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ChatGPT and Other AI Startups Drive Software Engineer Demand

Smart Data Collective

AI technology has created many promising new opportunities for software engineers in recent years.

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Diez maneras de ‘clavar’ la entrevista al puesto de CIO

CIO Business Intelligence

Ha trabajado duro para progresar en su carrera y está listo para dar el salto al liderazgo. Ha conseguido una entrevista para un puesto ejecutivo de TI en una empresa que le gusta. Al igual que todos los pasos que le han llevado hasta este momento, su actuación es vital para conseguir los resultados que desea. ¿Qué trabajo de campo debe hacer para triunfar en la entrevista?

IT 115
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The Cloud Development Environment Adoption Report

Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.

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Nursing Schools Are Forced to Adapt to Advances in AI

Smart Data Collective

AI technology has had a huge impact on nursing education, which has evolved significantly in recent years.

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Why CIOs should embrace the potential of data and analytics enablement platforms for a brighter future

CIO Business Intelligence

Technology leaders want to harness the power of their data to gain intelligence about what their customers want and how they want it. This is why the overall data and analytics (D&A) market is projected to grow astoundingly and expected to jump to $279.3 billion by 2030. Yet, despite years of investment in varied solutions, many companies still need help to enable their people and partners to connect disparate data sources and effectively collaborate in fully compliant spaces, let alone inco

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Understanding How Businesses Use Mobile BI to Achieve Results!

Smarten

Mobile BI Business Use Illustrates Real Advantages Mobile Business Intelligence (or Mobile BI) is defined as ‘a system comprising both technical and organizational elements that present historical and/or real-time information to its users for analysis on mobile devices such as smartphones and tablets (not laptops), to enable effective decision-making and management support, for the overall purpose of increasing firm performance.

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Acumatica goes all-in on AI with hundreds of enhancements to its ERP platform

CIO Business Intelligence

Enterprise resource planning ( ERP ) platforms are critical to today’s modern businesses. Organizations increasingly rely on these tools as they seek to modernize infrastructure, move to the cloud, automate workflows, and gain competitive advantage. Artificial intelligence (AI) is becoming integral to all this, and business leaders are clamoring for platforms that are AI-powered and intuitive.

IT 114
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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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A Tour of Popular Open Source Frameworks for LLM-Powered Agents

Dataiku

One of the most interesting Generative AI trends is the development of agents powered by large language models (LLMs). The word “agent” denotes an automated system that can perceive its environment and take actions.

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L’economia digitale di fronte alla sfida della regolamentazione

CIO Business Intelligence

Questo è forse uno dei dibattiti più frequenti quando si parla di legislazione in materia digitale: l’onere normativo ostacola l’innovazione? E, di conseguenza, fino a che punto è necessario regolamentare per creare un quadro solido, ma che faciliti le nuove proposte? L’eterno dilemma contrappone territori più inclini a una certa liberalizzazione della regolamentazione, come gli Stati Uniti, e altri che cercano una legislazione più rigida, solitamente esemplificata dall’Europa.

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Leveraging Citizen Data Scientists to Augment Data Science Teams

TDAN

According to some estimates, the average salary of a data scientist in the United States is over $150,000 per year.

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Data Crime: Cartoon Signatures

TDAN

I call it a “data crime” when someone is abusing or misusing data. When we understand these stories and their implications, it can help us learn from the mistakes and prevent future data crimes. The stories can also be helpful if you must explain the importance of  data management to someone.

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Introducing CDEs to Your Enterprise

Explore how enterprises can enhance developer productivity and onboarding by adopting self-hosted Cloud Development Environments (CDEs). This whitepaper highlights the simplicity and flexibility of cloud-based development over traditional setups, demonstrating how large teams can leverage economies of scale to boost efficiency and developer satisfaction.

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The Book Look: Enterprise Intelligence

TDAN

Every once in a while, a book comes along that contains such innovative ideas that I find myself whispering “wow” and “interesting” as I read through the pages. “Enterprise Intelligence,” by Eugene Asahara, is one such book.

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Scalability in Data Engineering: Preparing Your Infrastructure for Digital Transformation

TDAN

In the present era of data-centricity, institutions are amassing an immense amount of information at an unparalleled pace. This inundation of data holds the solution to unlocking invaluable perceptions, but only with proficient management and analysis. That is precisely where the art of data engineering comes into play.

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Strengthening Data Governance Through Data Security Governance

TDAN

Data security governance is becoming increasingly critical as organizations manage vast amounts of sensitive information across complex, hybrid IT environments. A robust governance framework ensures that data is protected, accessible, and compliant with regulations like GDPR and HIPAA.