Wed.Jun 19, 2024

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Navigating the New Data Landscape: Trends and Opportunities

Data Virtualization

Reading Time: 5 minutes The data landscape has evolved and become more complex as organizations recognize the need to leverage data and analytics. Generative artificial intelligence has further put pressure on organizations to manage this complexity. At TDWI, we see companies collecting traditional structured. The post Navigating the New Data Landscape: Trends and Opportunities appeared first on Data Management Blog - Data Integration and Modern Data Management Articles, Analysis and Information

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Building an Agentic Workflow with CrewAI and Groq

Analytics Vidhya

Introduction “AI Agentic workflow will drive massive progress this year,” commented Andrew Ng, highlighting the significant advancements anticipated in AI. With the growing popularity of large language models, Autonomous Agents are becoming a topic of discussion. In this article, we will explore Autonomous Agents, cover the components of building an Agentic workflow, and discuss the […] The post Building an Agentic Workflow with CrewAI and Groq appeared first on Analytics Vidhy

Modeling 337
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European hospitals launch Microsoft-backed AI network to agree privacy guardrails

CIO Business Intelligence

Artificial intelligence, it is widely assumed, will soon unleash the biggest transformation in health care provision since the medical sector started its journey to professionalization after the flu pandemic of 1918. The catch is that bringing this about will require new institutional channels for knowledge, engineering, and ethical collaboration that don’t yet exist.

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Why Does ChatGPT Use Only Decoder Architecture?

Analytics Vidhya

Introduction The advent of huge language models in the likes of ChatGPT ushered in a new epoch concerning conversational AI in the rapidly changing world of artificial intelligence. Anthropic’s ChatGPT model, which can engage in human-like dialogues, solve difficult tasks, and provide well thought-out answers that are contextually relevant, has fascinated people all over the […] The post Why Does ChatGPT Use Only Decoder Architecture?

Modeling 337
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Prepare Now: 2025's Must-Know Trends For Product And Data Leaders

Speaker: Jay Allardyce

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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CIOs take note: Platform engineering teams are the future core of IT orgs

CIO Business Intelligence

Three years ago BSH Home Appliances completely rearranged its IT organization, creating a digital platform services team consisting of three global platform engineering teams, and four regional platform and operations teams. Berke Menekli, VP of digital platform services, says it’s one of the best things he ever did. BSH’s previous infrastructure and operations teams, which supported the European appliance manufacturer’s application development groups, simply acted as suppliers of infrastructur

IT 138
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Guide to LLM Observability and Evaluations for RAG Application 

Analytics Vidhya

Introduction In the fast-evolving world of AI, it’s crucial to keep track of your API costs, especially when building LLM-based applications such as Retrieval-Augmented Generation (RAG) pipelines in production. Experimenting with different LLMs to get the best results often involves making numerous API requests to the server, each request incurring a cost.

Analytics 327

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7 Essential Steps to Master Large Language Models

Analytics Vidhya

Introduction LLMs are changing how we engage with technology today. These AI programs are able to comprehend and mimic human language. They can be applied to data analysis, customer service, content creation, and other areas. But for newcomers in particular, knowing how to use them could appear challenging. This article will walk readers through the […] The post 7 Essential Steps to Master Large Language Models appeared first on Analytics Vidhya.

Modeling 286
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HPE and Danfoss put excess data center heat to use

CIO Business Intelligence

Data centers are hot, in more ways than one. Not only are enterprises and hyperscalers building or expanding their facilities to accommodate increasing interest in artificial intelligence, but that same AI is gobbling power, and thus creating heat — a lot of it. And that means cooling costs are also growing. In fact, according to the International Energy Agency, by 2026 the AI industry is expected to have grown exponentially to consume at least ten times its electricity demand in 2023.

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SQL `NOT IN` Operator: Usage, Pitfalls, and Best Practices

Analytics Vidhya

Introduction In simpler terms, imagine you have a giant list of information. The NOT IN operator in SQL acts like a filter to help you find exactly what you’re looking for. It can exclude any items on the list that match certain criteria, like specific values or even results from another search. By using the […] The post SQL `NOT IN` Operator: Usage, Pitfalls, and Best Practices appeared first on Analytics Vidhya.

Analytics 280
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The Rising Importance of AI Governance

TDAN

AI governance has become a critical topic in today’s technological landscape, especially with the rise of AI and GenAI. As CEOs express concerns regarding the potential risks with these technologies, it is important to identify and address the biggest risks.

Risk 98
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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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Beginner’s Guide to Machine Learning Testing With DeepChecks

KDnuggets

Perform data integrity tests and generate model evaluation reports by writing a few lines of code.

Testing 138
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Best Practices for a Successful AI Center of Excellence

Dataiku

When it comes to AI initiatives, everyone talks about building a so-called Center of Excellence (CoE). However, doing so successfully is easier said than done. It requires tight coordination and collaboration not only among the CoE itself, but with business teams around the organization.

IT 59
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How to Implement Agentic RAG Using LangChain: Part 1

KDnuggets

Learn about enhancing LLMs with real-time information retrieval and intelligent agents.

Modeling 116
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Through the Looking Glass: Metaphors, MUNCH, and Large Language Models

TDAN

“What’s a metaphor?” Mr. Biergel posed the question one morning to my high school grammar class. Being typical teenagers, we looked at him with blank-eyed stares. We expected that if we waited long enough, he’d write a paragraph-long definition on the blackboard. “What’s a metaphor?” he repeated. “A place for cows to graze!” We groaned.

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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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What are Data Contracts?

Octopai

In today’s data-driven world, the integrity and accuracy of data are paramount for the successful operation of any organization. This is where data contracts come into play. A data contract is a formal agreement between data producers and data consumers that specifies the structure, quality, and meaning of the data being exchanged. These contracts ensure that both parties have a clear understanding of the data’s schema, transformations, and expected quality levels, reducing the risk

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La Gen AI può essere la risposta ai problemi con i dati? Sì, ma non in tutti i casi

CIO Business Intelligence

Attualmente ci sono 143 milioni di persone in attesa di interventi chirurgici nei Paesi a basso reddito. Ci sono organizzazioni pronte a portare medici e risorse ma, tra i due elementi, c’è un gap di informazione, afferma Joan LaRovere, direttore medico associato del Boston Children’s Hospital, professore alla Harvard Medical School e co-fondatore della Virtue Foundation, una ONG dedicata a risolvere questo divario informativo.

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How to Use Predictive Analytics to Boost Customer Retention in Startups

Aryng

For many startups, improved customer retention is the golden ticket to fast and exponential growth. When considering how to leverage your startup’s data to improve retention, predictive analytics is a powerful tool for cracking the code on what motivates customers to stay committed to your new brand. In this article, we’ll show you how predictive […] The post How to Use Predictive Analytics to Boost Customer Retention in Startups appeared first on Aryng's Blog.

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Data Contracts

Octopai

In today’s data-driven world, the integrity and accuracy of data are paramount for the successful operation of any organization. This is where data contracts come into play. A data contract is a formal agreement between data producers and data consumers that specifies the structure, quality, and meaning of the data being exchanged. These contracts ensure that both parties have a clear understanding of the data’s schema, transformations, and expected quality levels, reducing the risk

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Data Modeling for Direct Mail: Boosting Multi-Channel Reach and Response

Speaker: Jesse Simms, VP at Giant Partners

This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.

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Legal Issues for Data Professionals: Pros and Cons of AI in Healthcare (Part 1)

TDAN

The use of Artificial Intelligence (AI) in healthcare provides promises, risks, and unintended consequences. This column addresses the evolving AI issues in connection with the following topics: As used in this column, “AI” covers both generative and non-generative AI, with a focus on machine learning as part of non-generative AI.

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Apply fine-grained access and transformation on the SUPER data type in Amazon Redshift

AWS Big Data

Amazon Redshift is a fast, scalable, secure, and fully managed cloud data warehouse that makes it simple and cost-effective to analyze all your data using standard SQL and your existing ETL (extract, transform, and load), business intelligence (BI), and reporting tools. Tens of thousands of customers use Amazon Redshift to process exabytes of data per day and power analytics workloads such as BI, predictive analytics, and real-time streaming analytics.

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Data Governance Doesn’t Have to Be Scary

TDAN

The mere mention of “data governance” can send shivers down the spines of executives and employees alike. The thought of implementing stringent rules and procedures for managing data often conjures images of bureaucratic nightmares and stifled innovation. However, it doesn’t have to be this way.

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Accelleron turbocharges harmonized data management

CIO Business Intelligence

In 2021, the electrification and automation corporation ABB Group announced that it was carving out its turbocharging division and renaming it Accelleron Industries, hoping the stand-alone unit could have a greater impact on the marine, energy, and rail industries. The decision was part of a global reorganization pattern that has occurred in corporations since the pandemic, with new business divisions established to re-focus and reach their full potential.

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How To Speak The Language Of Financial Success In Product Management

Speaker: Jamie Bernard

Success in product management goes beyond delivering great features - it’s about achieving measurable financial outcomes that resonate across the organization. By connecting your product’s journey with the company’s financial success, you’ll ensure that every feature, release, and innovation contributes to the bottom line, driving both customer satisfaction and business growth.

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Chart Snapshot: Mosaic Cartograms

The Data Visualisation Catalogue

Also known as a Tile Cartogram, Tilegram. A Mosaic Cartogram is a type of data map where the geographical regions are made up of uniform, square tiles. In a Mosaic Cartogram, each tile represents a nominal unit from a particular variable (e.g. 1 square = 1 million people). Hence, the number of tiles assigned to a region is proportional to the data value assigned to that region.

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Microsoft bolsters quantum platform with gen AI, molecular simulation capabilities

CIO Business Intelligence

Microsoft has added generative artificial intelligence and other enhanced features to its quantum-computing platform as part of a larger strategy to deliver the game-changing technology to a broader range of users — in this case, the scientific community. The company on Wednesday unveiled the release of Generative Chemistry and Accelerated DFT, which together expand how scientists in the chemicals and materials science industry can use its Azure Quantum Elements platform to help drastically shor

Strategy 137
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SKF’s AI springboard into a new business model

CIO Business Intelligence

Three years ago, Gothenburg-based SKF brought in new CEO Rickard Gustafson and over time, a new strategic framework was established to take the company from a centralized to a decentralized organization. And at the heart of that new business model journey was, and continues to be, CIO Pedro de Freitas and group head of digital engineering and innovation, Maria Stranne.

Modeling 106