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

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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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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.

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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.

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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.

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Generative AI Deep Dive: Advancing from Proof of Concept to Production

Speaker: Maher Hanafi, VP of Engineering at Betterworks & Tony Karrer, CTO at Aggregage

Executive leaders and board members are pushing their teams to adopt Generative AI to gain a competitive edge, save money, and otherwise take advantage of the promise of this new era of artificial intelligence. There's no question that it is challenging to figure out where to focus and how to advance when it’s a new field that is evolving everyday. 💡 This new webinar featuring Maher Hanafi, VP of Engineering at Betterworks, will explore a practical framework to transform Generative AI pr

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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 122
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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?

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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 144
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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.

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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.

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Questions for 2024

O'Reilly on Data

This time of year, everyone publishes predictions. They’re fun, but I don’t find them a good source of insight into what’s happening in technology. Instead of predictions, I’d prefer to look at questions: what are the questions to which I’d like answers as 2023 draws to a close? What are the unknowns that will shape 2024? That’s what I’d really like to know.

Software 203
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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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AI vs Data Analysts: Top 6 Limitations Impacting the Future of Analytics

KDnuggets

AI have ability to reason, and generate functioning code in languages like Python, SQL, and R, they can provide impressive value with Data analysis. But can they replace data analysts?

Analytics 123
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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 142
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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 291
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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.

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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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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.

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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.

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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 290
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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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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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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 119
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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.

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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 289
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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.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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5 Simple Steps Series: Master Python, SQL, Scikit-learn, PyTorch & Google Cloud

KDnuggets

Dive into KDnuggets Back to Basics: Getting Started in 5 Steps series to help you master Python, SQL, Scikit-learn, PyTorch, and Google Cloud Platform.

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SASE success: Avoid confusion and embrace a single-vendor solution

CIO Business Intelligence

In the recent Gartner® Hype Cycle TM for Zero Trust Networking, 2023 report , which evaluates the current status of 19 of “the most relevant and hyped” zero-trust technologies, the cybersecurity industry analysts made a somewhat startling pronouncement about secure access service edge (SASE). They wrote that “SASE is in the Trough of Disillusionment, due to exaggerated marketing by many technology vendors.

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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 285
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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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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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Novice to Ninja: Why Your Python Skills Matter in Data Science

KDnuggets

As a data scientist, is it worthwhile leveling up your Python skills? Dive into code comparisons across expertise levels & discover if "good enough" is really enough.

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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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What are Microsoft Azure Functions?

Analytics Vidhya

Introduction Microsoft Azure’s wide range of services has allowed it to carve itself a niche. Azure Functions is a dynamic and effective serverless computing solution that stands out. This article takes a closer look at Azure Functions, including how they function, who may use them, and even a hands-on tour of a small project highlighting […] The post What are Microsoft Azure Functions?

Analytics 283
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GoDaddy benchmarking results in up to 24% better price-performance for their Spark workloads with AWS Graviton2 on Amazon EMR Serverless

AWS Big Data

This is a guest post co-written with Mukul Sharma, Software Development Engineer, and Ozcan IIikhan, Director of Engineering from GoDaddy. GoDaddy empowers everyday entrepreneurs by providing all the help and tools to succeed online. With more than 22 million customers worldwide, GoDaddy is the place people come to name their ideas, build a professional website, attract customers, and manage their work.

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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.