Sat.Oct 28, 2023 - Fri.Nov 03, 2023

article thumbnail

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.

article thumbnail

Top 10 Tableau Projects for Data Science

Analytics Vidhya

Introduction The world of data science has numerous candidates with technical expertise, but only a few excel at problem-solving. When it is about communicating and expressing these skills effectively, some people are great at it naturally, while others develop this ability over time. Fortunately, with the advent of tools such as Tableau, you get access […] The post Top 10 Tableau Projects for Data Science appeared first on Analytics Vidhya.

Insiders

Sign Up for our Newsletter

This site is protected by reCAPTCHA and the Google Privacy Policy and Terms of Service apply.

article thumbnail

The rise of the chief transformation officer

CIO Business Intelligence

Like so many IT leaders, Richard Wiedenbeck wears multiple hats. Yet unlike his peers, Wiedenbeck’s dual roles — the top technology executive as well as the transformation lead at Ameritas — are often at odds. As chief technology officer, Wiedenbeck is driving automation and IT modernization to reduce complexity and technical debt. In his chief transformation officer (CTO) capacity, the current mission is to spearhead an enterprise transformation effort that takes aim at operational efficiency.

article thumbnail

Cloud Analytics Powered by FinOps

Cloudera

Cloud transformation is ranked as the cornerstone of innovation and digitalization. The legacy IT infrastructure to run the business operations — mainly data centers — has a deadline to shift to cloud-based services. Agility, innovation, and time-to-value are the key differentiators cloud service providers (CSP) claim to help organizations speed up digital transformation projects and business objectives.

article thumbnail

Activating Intent Data for Sales and Marketing

Sales and marketing leaders have reached a tipping point when it comes to using intent data — and they’re not looking back. More than half of all B2B marketers are already using intent data to increase sales, and Gartner predicts this figure will grow to 70 percent. The reason is clear: intent can provide you with massive amounts of data that reveal sales opportunities earlier than ever before.

article thumbnail

Data Warehouses vs. Data Lakes vs. Data Marts: Need Help Deciding?

KDnuggets

A comparative overview of data warehouses, data lakes, and data marts to help you make informed decisions on data storage solutions for your data architecture.

Data Lake 140
article thumbnail

Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit

Analytics Vidhya

Introduction We talk about AI almost daily due to its growing impact in replacing humans’ manual work. Building AI-enabled software has rapidly grown in a brief time. Enterprises and businesses believe in integrating reliable and responsible AI in their application to generate more revenue. The most challenging part of integrating AI into an application is […] The post Mastering AI Optimization and Deployment with Intel’s OpenVINO Toolkit appeared first on Analytics Vidhya.

More Trending

article thumbnail

How Value Stream Management is fueling success at Boeing, Tyson, and Verizon

CIO Business Intelligence

In today’s digitally transforming world, time is of the essence. Whether you’re looking to deliver a new product release, fix an issue, or enhance a service, the longer you make customers wait, the worse for your business. As you seek to boost agility and speed your organization’s digital transformation, there are some proven principles you can apply.

article thumbnail

SQL for Data Visualization: How to Prepare Data for Charts and Graphs

KDnuggets

Unlock the Power of SQL in Data Visualization: Master the Art of Preparing Data for Impactful Charts and Graphs.

article thumbnail

What is the Water Jug Problem in AI?

Analytics Vidhya

Introduction The water jug problem, also known as the ‘water-pouring problem’ or ‘die hard problem,’ is a classic challenge in artificial intelligence and computer science. This puzzle revolves around measuring a specific quantity of water using multiple jugs, each with varying capacities. It’s not merely a brain teaser; it’s a fundamental problem frequently employed to […] The post What is the Water Jug Problem in AI?

article thumbnail

Spark on AWS Lambda: An Apache Spark runtime for AWS Lambda

AWS Big Data

Spark on AWS Lambda (SoAL) is a framework that runs Apache Spark workloads on AWS Lambda. It’s designed for both batch and event-based workloads, handling data payload sizes from 10 KB to 400 MB. This framework is ideal for batch analytics workloads from Amazon Simple Storage Service (Amazon S3) and event-based streaming from Amazon Managed Streaming for Apache Kafka (Amazon MSK) and Amazon Kinesis.

article thumbnail

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.

article thumbnail

Beyond DevSecOps: Why fintech companies need to consider DevSecRegOps

CIO Business Intelligence

It’s no secret that banks and fintech companies must meet compliance and regulatory standards that are much stricter than what traditional tech companies are forced to comply with. The question becomes: How do you meet strict regulatory and compliance standards while keeping up with the rapid pace of innovation in technology? As the vice president of enterprise architecture and technology strategy at Discover Financial Services, I think about this question often as we work to design our tech sta

Finance 144
article thumbnail

Building Data Pipelines to Create Apps with Large Language Models

KDnuggets

For production grade LLM apps, you need a robust data pipeline. This article talks about the different stages of building a Gen AI data pipeline and what is included in these stages.

Modeling 147
article thumbnail

The Ultimate Guide to AI Voice Generators for 2023 Edition

Analytics Vidhya

Introduction The introduction of artificial intelligence (AI) has resulted in ground-breaking advances in several different industries. The emergence of AI speech generators, which can produce realistic, synthesized human voices, is one example of how far AI has come in imitating human conduct. They depend on deep learning algorithms trained on significant datasets of previously recorded […] The post The Ultimate Guide to AI Voice Generators for 2023 Edition appeared first on Analytics Vid

article thumbnail

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.

article thumbnail

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.

article thumbnail

Why adaptability is the new digital transformation

CIO Business Intelligence

The past decade in IT has been all about digital transformation. Under the aegis of digital transformation, IT initiatives have become more customer-centric, with a greater emphasis on people, not technology — all in an effort to redefine how the organization operates and to ensure it can keep up with the pace of change, capable of dealing with challenges and taking advantage of opportunities as they arise.

article thumbnail

Hyperparameter Tuning: GridSearchCV and RandomizedSearchCV, Explained

KDnuggets

Learn how to tune your model’s hyperparameters using grid search and randomized search. Also learn to implement them in scikit-learn using GridSearchCV and RandomizedSearchCV.

article thumbnail

ZenML for Electric Vehicles: From Data to Efficiency Predictions

Analytics Vidhya

Introduction Have you ever thought there would be a system where we can predict the efficiency of electric vehicles and that users can easily use that system? In the world of Electric Vehicles, we can predict the efficiency of electric vehicles with extreme accuracy. This concept has now come into the real world, we are […] The post ZenML for Electric Vehicles: From Data to Efficiency Predictions appeared first on Analytics Vidhya.

Analytics 336
article thumbnail

Startups Use Data and Agile for Portfolio Management

Smart Data Collective

“Everybody needs data literacy, because data is everywhere. It’s the new currency, it’s the language of the business. We need to be able to speak that.” – Piyanka Jain. Data-driven business management has emerged as an invaluable tool for businesses of all sizes, from startups to large corporations. With a powerful suite of analytics tools available today – such as predictive analytics, prescriptive analysis, customer segmentation and lead scoring – organizations no

article thumbnail

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?

article thumbnail

Want AI? Here’s how to get your data and infrastructure AI-ready

CIO Business Intelligence

Artificial intelligence (AI) is reshaping our world. In business, this puts CIOs in one of the most pivotal organizational roles today. CIOs are responsible for much more than IT infrastructure; they must drive the adoption of innovative technology and partner closely with their data scientists and engineers to make AI a reality–all while keeping costs down and being cyber-resilient.

article thumbnail

Introduction to NExT-GPT: Any-to-Any Multimodal Large Language Model

KDnuggets

The future of the multimodal large language model.

Modeling 146
article thumbnail

10 Best Voice Cloning Software of 2023

Analytics Vidhya

Introduction Isn’t it amazing that you can create a copy of a person’s voice using artificial intelligence? Voice cloning software with AI has made possible ideas that otherwise seemed far-fetched. From producing audiobooks to creating content for the entertainment industry, voice cloning has something in store for all. Wondering which software can help create human-like […] The post 10 Best Voice Cloning Software of 2023 appeared first on Analytics Vidhya.

Software 336
article thumbnail

Build Modern Innovative Solutions on Cloudera Data Platform Using the Power of Generative AI with Amazon Bedrock

Cloudera

Enterprises see embracing AI as a strategic imperative that will enable them to stay relevant in increasingly competitive markets. However, it remains difficult to quickly build these capabilities given the challenges with finding readily available talent and resources to get started rapidly on the AI journey. Cloudera recently signed a strategic collaboration agreement with Amazon Web Services (AWS), reinforcing our relationship and commitment to accelerating and scaling cloud native data manag

article thumbnail

Predicting the Future of Sales: How AI and Automation Will Revolutionize Strategies

In this exploration, we're diving into predictions about the future of sales. We're talking about a complete shake-up powered by automation and artificial intelligence (AI). These aren't just fancy tools — they're real game-changers. Automation and AI are here to redefine every interaction, making them smarter, faster, and more meaningful. From personalized customer journeys to streamlined sales processes, the goal is to make every moment count, enhancing both efficiency and connection.

article thumbnail

Your biggest barriers to digital transformation aren’t technical…they’re cultural

CIO Business Intelligence

As an infrastructure and security practitioner with nearly 30 years of experience, I’ve witnessed periods of rapid change in the technology landscape. However, I have seen a lot of things stay practically the same. Historically, our jobs as infrastructure and security professionals have involved installing the “plumbing” that ensures organizations remain connected through traditional networking and security practices.

article thumbnail

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.

article thumbnail

ChatGPT Plus Unleashes Exciting New Features for Data Enthusiasts

Analytics Vidhya

OpenAI is releasing a beta version that promises to completely change the way we communicate with this state-of-the-art AI, which is an exciting development for ChatGPT Plus subscribers. Two significant additions to this much-awaited edition are the capability to upload and analyze files as well as multimodal support, which improves the user experience.

Analytics 335
article thumbnail

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 101
article thumbnail

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.

article thumbnail

CIOs sharpen cloud cost strategies — just as gen AI spikes loom

CIO Business Intelligence

Cloud costs remain a key concern for IT leaders, who find themselves nearing a crossroads where expenditures for core workloads will need containment to free up spend for innovation. To be sure, enterprise cloud budgets continue to increase, with IT decision-makers reporting that 31% of their overall technology budget will go toward cloud computing and two-thirds expecting their cloud budget to increase in the next 12 months, according to the Foundry Cloud Computing Study 2023.

Strategy 140
article thumbnail

5 Free Books to Master SQL

KDnuggets

Use this knowledge to upskill yourselves.

142
142
article thumbnail

From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations

Analytics Vidhya

Introduction The field of artificial intelligence has seen remarkable advancements in recent years, particularly in the area of large language models. LLMs can generate human-like text, summarize documents, and write software code. Mistral-7B is one of the recent large language models that support English text and code generation abilities, and it can be used for […] The post From GPT to Mistral-7B: The Exciting Leap Forward in AI Conversations appeared first on Analytics Vidhya.

Modeling 328
article thumbnail

EMEA Summit Partner Awards for AWS, Accenture, IBM, Talend a Qlik Company, Tech Data, and Dell Technologies

Cloudera

We are excited to announce the winners of the 2023 EMEA Partner of the Year awards, presented this month at our EMEA Partner Summit in Lisbon, Portugal. These awards recognize Cloudera’s EMEA partners who are dedicated to transforming the future of data by leveraging the most complete hybrid, multi-cloud data platform. EMEA Partner of the Year: IBM IBM continues to be a key strategic partner, on track for another breakout year!

article thumbnail

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.