Wed.Nov 01, 2023

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The Role of Enterprise Knowledge Graphs in LLMs

Analytics Vidhya

Introduction Large Language Models (LLMs) and Generative AI represent a transformative breakthrough in Artificial Intelligence and Natural Language Processing. They can understand and generate human language and produce content like text, imagery, audio, and synthetic data, making them highly versatile in various applications. Generative AI holds immense importance in real-world applications by automating and enhancing content […] The post The Role of Enterprise Knowledge Graphs in LLMs ap

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Alteryx Uses Generative AI to Enhance Analytic Operations

David Menninger's Analyst Perspectives

Alteryx was founded in 1997 and initially focused on analyzing demographic and geographically organized data. In 2006, the company released its eponymous product that established its direction for what the product is today. In 2017, it went public in an IPO on the NYSE. At the time of the IPO, Alteryx was focusing much of its marketing efforts on the data preparation market, particularly to support Tableau.

Analytics 147
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10 Types of Clustering Algorithms in Machine Learning

Analytics Vidhya

Introduction Have you ever wondered how vast volumes of data can be untangled, revealing hidden patterns and insights? The answer lies in clustering, a powerful technique in machine learning and data analysis. Clustering algorithms allow us to group data points based on their similarities, aiding in tasks ranging from customer segmentation to image analysis.

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7 Machine Learning Algorithms You Can’t Miss

KDnuggets

This list of machine learning algorithms is a good place to start your journey as a data scientist. You should be able to identify the most common models and use them in the right applications.

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5 Ways You Can Win Faster with Gen AI in Sales

Incorporating generative AI (gen AI) into your sales process can speed up your wins through improved efficiency, personalized customer interactions, and better informed decision- making. Gen AI is a game changer for busy salespeople and can reduce time-consuming tasks, such as customer research, note-taking, and writing emails, and provide insightful data analysis and recommendations.

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SAP unveils tools to help enterprises build their own gen AI apps

CIO Business Intelligence

SAP has unveiled new tools to build AI into business applications across its software platform, including new development tools, database functionality, AI services, and enhancements to its Business Technology Platform, BTP. The news came at SAP TechEd, its annual conference for developers and enterprise architects, this year held in Bangalore, the unofficial capital of India’s software development industry.

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Leveraging the Power of GPUs with CuPy in Python

KDnuggets

Whether you're doing machine learning, scientific computing, or working with huge datasets, CuPy is an absolute game-changer.

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Harness the Power of Pinecone with Cloudera’s New Applied Machine Learning Prototype

Cloudera

Elevate your AI applications with our latest applied ML prototype At Cloudera, we continuously strive to empower organizations to unlock the full potential of their data, catalyzing innovation and driving actionable insights. And so we are thrilled to introduce our latest applied ML prototype (AMP) — a large language model (LLM) chatbot customized with website data using Meta’s Llama2 LLM and Pinecone’s vector database.

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Digital pragmatism at Volvo means more control and less agile

CIO Business Intelligence

The automotive industry keeps accelerating into the technological switch to electric engines, and all efforts at Volvo Cars point to a clear ambition to be a clear frontrunner. Such a seismic shift also creates a different dynamic in the market, with a fundamentally simpler technical platform compared to internal combustion engines. As a result, many new car companies are created and competition increases, says Tobias Altehed, who leads Volvo Cars’ digital organization and sits on the company’s

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Implement model versioning with Amazon Redshift ML

AWS Big Data

Amazon Redshift ML allows data analysts, developers, and data scientists to train machine learning (ML) models using SQL. In previous posts, we demonstrated how you can use the automatic model training capability of Redshift ML to train classification and regression models. Redshift ML allows you to create a model using SQL and specify your algorithm, such as XGBoost.

Modeling 104
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Is Academia Obsessing Over Methodology at the Cost of True Insights?

KDnuggets

A millennial opinion piece about academia and their focus on methodology over insights.

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Revolutionize QA: GAPs AI-Driven Accelerators for Smarter, Faster Testing

GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.

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6 Ways to Use Data to Improve Employee Productivity

Smart Data Collective

Data analytics offers a number of benefits for growing organizations. One of the biggest advantages is that it can bolster employee productivity. A highly productive team enables an organization to meet its goals and objectives. High-performing teams are usually more engaged in their professional associations and work, increasing the likelihood of producing better results.

Metrics 95
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Why CISOs Need to Hire Data Security Experts & What to Look For

Laminar Security

Data is more critical than ever in 2023. It fuels innovation, powers business growth, and can even be monetized. In many ways, it’s even comparable to uranium or oil ! But, many organizations haven’t yet focused on protecting it to the extent that its value deserves and requires. Even if teams are actively seeking to improve their data security, it’s challenging to do so within today’s multi-cloud environments.

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A simplified view of the enterprise tech market

CIO Business Intelligence

I hate the way enterprise IT industry analysts see the world. That’s hard for me to say as I am one of those analysts. But it’s something that I not only feel myself, but that I hear (in various forms) from tech vendors and enterprise IT execs alike — all the time. The reason the analyst’s view of the market is so unsatisfying isn’t hard to decipher.

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Monte Carlo is Kicking Off IMPACT 2023, Keynotes From Data & AI Pioneers

KDnuggets

Register today for IMPACT 2023! Coming Nov. 4th with keynotes from four data & AI pioneers.

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10 Ways to Leverage Buyer Signals and Drive Revenue

In today’s ultra-competitive markets, it’s no longer enough to wait for buyers to show obvious signs of interest. Instead, sales teams must be proactive, identifying and acting on nuanced buyer behaviors — often before prospects are fully ready to make a purchase. In this eBook from ZoomInfo & Sell Better, learn 10 actionable ways to use these buyer signals to transform your sales strategy and close deals faster.

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Embedded BI with Integration APIs Offers Competitive Advantage!

Smarten

Embedded BI and an Expert Partner Can Help You Gain Competitive Advantage! When a business wants to improve its competitive advantage, it often focuses narrowly on its product features, pricing and other offerings in the market. In fact, a competitive advantage can come from market agility, productivity, and the ability to operate at optimal speed with results that position the enterprise for growth and visibility.

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Building a Hardware & Software Product: TDI 34

Data Science 101

Threads Dev Interviews I am finding developers on Threads and interviewing them, right on Threads. You are welcome to follow along and let me know on Threads if you would like to be interviewed. Note: The views in these interviews are personal views and do not represent the interviewee’s employer. “I went from webmaster -> co-founder -> a whole bunch of software, hardware, and other work > UI developer and prototyper -> operations and software work -> operations and managing tech ->

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Enable Multi-AZ deployments for your Amazon Redshift data warehouse

AWS Big Data

November 2023: This post was reviewed and updated with the general availability of Multi-AZ deployments for provisioned RA3 clusters. Originally published on December 9th, 2022. Amazon Redshift is a fully managed, petabyte scale cloud data warehouse that enables you to analyze large datasets using standard SQL. Data warehouse workloads are increasingly being used with mission-critical analytics applications that require the highest levels of resilience and availability.

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Fighting fire with…data

CIO Business Intelligence

There is evidence to support that 2023 may be the worst wildfire season ever recorded. Earlier this year, there were over 1,140 active fires in Canada. And in August, the Hawaiian island of Maui suffered the deadliest U.S. wildfire in a century with more than 110 fatalities thus far. The first line of defense against fire isn’t water — it’s information When the fire starts, it’ll be a while before anyone knows about it.

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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.