Wed.Sep 14, 2022

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Implementing a Machine Learning Pipeline Using PySpark Library

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be predicting the famous machine learning problem statement, i.e. Titanic Survival Prediction, using PySpark’s MLIB. This is one of the best datasets to get started with new concepts as we being machine learning enthusiasts, already are well […].

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Benefits of High-Resolution Lidar Data for Data-Driven Companies

Smart Data Collective

A growing number of organizations are resorting to the use of big data. They have found that big data technology offers a number of benefits. Companies that leverage it effectively increase their profitability by 60%. However, utilizing big data is more difficult than it might seem. Companies must be aware of the different ways that data can be collected, aggregated and applied.

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Fast API, Docker and AWS ECS to Deploy Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Deploying is perhaps the second most crucial step in the complete product development life cycle. Deploying models let other members of your organization consume what you have created. For starters, it could appear daunting, but with the right tools, things can be […].

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9 most in-demand IT jobs in manufacturing

CIO Business Intelligence

The manufacturing industry is experiencing its “fourth industrial revolution,” with manufacturers focused on leveraging IT to stay competitive and meet the demand for digital services that can enhance their physical wares. Sensors, AI, and robotics are key Manufacturing 4.0 technologies that fueled data strategies aimed at identifying inefficiencies, streamlining processes, and improving the ability to forecast and predict industry trends.

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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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Frequent Itemset Mining Using MapReduce on Hadoop

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Every Data Science enthusiast’s journey goes through one of the most classical data problems – Frequent Itemset Mining, also sometimes referred to as Association Rule Mining or Market Basket Analysis. Frequent Itemset Mining is one of the most widely used methods for […].

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7 tell-tale signs of fake agile

CIO Business Intelligence

If it looks like a duck, swims like a duck, and quacks like a duck, then it’s probably a duck. The same is not true, sadly, for many agile project management and development initiatives. Too often, an organization may launch something that looks like an agile program, calls itself an agile program, claims to operate like an agile program, yet really isn’t an agile program in the least.

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The RACI matrix: Your blueprint for project success

CIO Business Intelligence

Having managed and rescued dozens of projects, and helped others do so, I’ve noted that there is always one critical success factor (CSF) that has either been effectively addressed or missed/messed up: clarity around the roles and responsibilities for each project participant and key stakeholder. No matter how detailed and complete a project plan may be for any project, confusion or omission of participant roles and responsibilities will cause major problems.

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MLOps and use of Kubernetes

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction The constant rise prompted organizations to create a system that was implemented by building factories, assembly lines, and other elements of automated production. Soon after, the technology boom saw the emergence of agile systems that automate creation processes. This was achieved by […].

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A third of Oracle revenue now comes from cloud services

CIO Business Intelligence

After years of investments, Oracle’s bet on cloud computing has started to pay off with nearly a third of its revenue in the first quarter of fiscal year 2023 coming from cloud services. Total cloud revenue (SaaS and IaaS combined) stood at $3.6 billion in the quarter, up 50% year-on-year, without accounting for currency fluctuations. The company expects to hit an annualized revenue runrate of over $20 billion combining all of its cloud services, chairman Larry Ellison said on Monday, adding tha

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How is MLOps Different from DevOps?

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction DevOps practices include continuous integration and deployment, which are CI/CD. MLOps talks about CI/CD and ongoing training, which is why DevOps practices aren’t enough to produce machine learning applications. In this article, I explained the important features of MLOps and the key […].

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The Path to Product Excellence: Avoiding Common Pitfalls and Enhancing Communication

Speaker: David Bard, Principal at VP Product Coaching

In the fast-paced world of digital innovation, success is often accompanied by a multitude of challenges - like the pitfalls lurking at every turn, threatening to derail the most promising projects. But fret not, this webinar is your key to effective product development! Join us for an enlightening session to empower you to lead your team to greater heights.

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KDnuggets News, September 14: Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning

KDnuggets

Free Python for Data Science Course • Everything You’ve Ever Wanted to Know About Machine Learning • Progress Bars in Python with tqdm for Fun and Profit • 7 Tips for Python Beginners • 7 Data Analytics Interview Questions & Answers.

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Complete Guide to a Decentralized Exchange – PancakeSwap

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction We as users require a platform to trade; buy and sell our assets. Traditionally, we use a centralized exchange to trade our assets. These centralized exchanges are the middlemen. Our crypto assets are stored on these exchanges, and the exchanges have control […]. The post Complete Guide to a Decentralized Exchange – PancakeSwap appeared first on Analytics Vidhya.

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Success in Workload Migration

CIO Business Intelligence

There are certain truths to be had: 92% percent of organizations have a multi-cloud strategy¹ 82% of large enterprises have adopted hybrid cloud¹ 37% of enterprise spend more than $12 million on cloud computing annually¹ 70% of digital transformation initiatives miss their objectives, often with profound consequences² CIOs continue to seek “hybrid cloud nirvana” Migration is a constant While perhaps not a truth, experts predict that beyond 2022 there will be less focus on multi or hybrid cloud i

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Why Organizations Need Data Warehouses

KDnuggets

So where can you store, harness and collect findings in your data - in one place? What is the right tool for this? Data Warehouses.

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Peak Performance: Continuous Testing & Evaluation of LLM-Based Applications

Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage

Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.

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4 Elements That Balance Security and Resiliency

CIO Business Intelligence

Does your organization need to improve security and upgrade its IT infrastructure? If so, you’re not alone. Those are the top two reasons for the rise in EMEA IT budgets, according to the Foundry 2022 State of the CIO study. These priorities are in response to an ever-evolving business and security landscape. IT departments are under increased pressure to provide resiliency amid new and advanced cyberattack risks, ongoing supply-chain disruptions, digital transformation efforts, and the complex

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ModelOps: What you need to know to get certified

KDnuggets

Find out why ModelOps is in-demand and how SAS can help you propel in this growing area. .

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How Your IT Infrastructure Can Accelerate Transformation Efforts

CIO Business Intelligence

IT leaders in EMEA are increasingly leading digital transformation efforts, with 84% of CIOs saying they’re responsible for these efforts, according to the Foundry 2022 State of the CIO study. But significant challenges remain. Their most pressing issue: the need for technology integration/implementation skills to support digital business initiatives, according to the survey.

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Best AI Tools for High-Frequency Algorithmic Trading

Smart Data Collective

Artificial intelligence is changing the financial industry in extraordinary ways. DataMotion projects that the fintech sector will spend over $26 billion on AI by 2026. There are many great applications of AI in the financial sector. One of the best is the promise of taking advantage of high-frequency trading. There are a lot of great AI tools that help traders engage in high-frequency trading.

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Driving Business Impact for PMs

Speaker: Jon Harmer, Product Manager for Google Cloud

Move from feature factory to customer outcomes and drive impact in your business! This session will provide you with a comprehensive set of tools to help you develop impactful products by shifting from output-based thinking to outcome-based thinking. You will deepen your understanding of your customers and their needs as well as identifying and de-risking the different kinds of hypotheses built into your roadmap.

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KDnuggets Applied Data Science Survey

KDnuggets

We want to know where you applied data science in the past 12 months.

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Living Out Our Purpose

Teradata

At Teradata, we are committed to operating a business that takes a responsible view of our impact on society and the planet. Find out how we are living this commitment everyday.

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Can Dataiku Be the Golden Thread in Your Data Mesh?

Dataiku

Data mesh is seemingly the new shining star on the landscape of data strategies — everybody is talking about it, and a few have taken tangible steps in this direction. Now it is time for us to share our customers’ experiences around data mesh in the enterprise context, along with what we have learned in practice. So, if you are interested in how to scale your data and analytics beyond a center of excellence, this might be of interest to you.

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The Building Blocks of Cloud Strategy

CIO Business Intelligence

As organizations accelerate their cloud migrations, they need both a strategy and a strategic partner, according to the Foundry 2022 Cloud Computing Study. For example, despite their accelerated investments with multiple cloud service providers, 59% of EMEA IT leaders said they do not consider any of them a strategic partner. The partnership capabilities they are most seeking include security expertise, better cloud management capabilities, and strategic guidance on overall cloud strategy or a r

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Reimagined: Building Products with Generative AI

“Reimagined: Building Products with Generative AI” is an extensive guide for integrating generative AI into product strategy and careers featuring over 150 real-world examples, 30 case studies, and 20+ frameworks, and endorsed by over 20 leading AI and product executives, inventors, entrepreneurs, and researchers.