Tue.Oct 18, 2022

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Data Science Tools for Vaccine Design and Development

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Biopharmaceutical Industries are the fastest growing industries after considering the basic need for the healthy life of humans and animals. Based on the available literature, the author has identified six major thrust areas of the Biopharmaceutical industry, which has summarized in the […].

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5 Free Courses to Master Calculus

KDnuggets

Calculus is one of the foundational pillars of understanding the mathematics behind machine learning algorithms. The post shares five free courses to help you master calculus and learn its real-world applications.

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Beginners’ Guide to a NFT Marketplace: Magic Eden

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction NFTs, NFTs, NFTs! If you have been in the crypto space for even a short period, you may have heard of the term NFTs. NFTs are Non-Fungible tokens (in detailed explanation in the following section). NFTs have grown so popular that several […]. The post Beginners’ Guide to a NFT Marketplace: Magic Eden appeared first on Analytics Vidhya.

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Essential Books You Need to Become a Data Engineer

KDnuggets

In this article, I will go through the roadmap of books you need to become a Data Engineer.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Cloud Cryptography: A Reliable Solution to Secure your Cloud

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction A business can employ IT services offered on the internet by using cloud computing rather than maintaining its physical servers. Popular cloud computing services include Google Cloud, Amazon Web Services (AWS), and Microsoft Azure. Cloud technology has more effects on our lives […].

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25 Advanced SQL Interview Questions for Data Scientists

KDnuggets

Check out this collection of advanced SQL interview questions with answers.

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3 AI Trends from the Big Data & AI Toronto Conference

DataRobot Blog

Organizations are looking for AI platforms that drive efficiency, scalability, and best practices, trends that were very clear at Big Data & AI Toronto. The DataRobot expo booth at the 2022 conference showcased our AI Cloud platform with industry-specific demonstrations including Anti-Money Laundering for Financial Services , Predictive Maintenance for Manufacturing and Sales Forecasting for Retail.

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Introduction to Data Technical Debt

TDAN

“Technical debt” refers to the implied cost of future refactoring or rework to improve the quality of an asset to make it easy to understand, work with, maintain, and extend. The concept of technical debt was first proposed in the early 1990s by Ward Cunningham to describe the impact of poor-quality code on your overall software development […].

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Become Data-Driven Faster with DataCamp’s Analyst Takeover

KDnuggets

Looking for a clear (and fast) data upskilling path? Discover DataCamp’s hands-on analyst tracks and certification program—no prior analyst experience required.

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Mythbuster: Only Data Scientists Can Analyze Data

Aryng

Many people think you need to be a data scientist to extract insights from it. This can’t be further from the truth. Typically, a data scientist is considered as someone who uses statistical methods, machine learning, and AI approaches to solve problems, spending their day using tools like python or R using pre-existing libraries to […] The post Mythbuster: Only Data Scientists Can Analyze Data appeared first on Aryng's Blog.

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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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Should We Consider Banishing CIOs?

TDAN

“First thing we do, let’s banish all of the CIOs.” Too harsh? Shakespeare was much harder on lawyers. But the reality is, IT is a mess. Yes, it is. Judged by any performance measure we would apply to other groups within any enterprise, it is. I am reminded of old black and white movies: the […].

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Day in the Life of an Analyst at Gartner’s IT Symposium/EXPO 2022 – Day 2

Andrew White

Well, day 2 came and went and wasn’t that a blast. I can hardly remember a thing. There are were so many good conversations. I just managed to catch a few notes, action items and follow-ups. Hopefully everyone who had a 1-1 was able to take away some good advice. As usual, let’s see how my brain looked early Tuesday morning, according to my Muse.

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Thoughts on Data Literacy & Data Quality

TDAN

Last week, we presented a webinar in our Data Governance — Best Practices series on data quality. Among the recommended practices were identifying the specific type of data quality issue (or issues) you’re facing, prioritizing the needed changes/outcomes, and developing a process to engage users at various points in the data lifecycle. Obviously, we’re a […].

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A use case for Digital Decisioning in the Military

Decision Management Solutions

Digital decisioning – the automation of decision-making using some combination of decision modeling, business rules, machine learning, predictive analytics and AI algorithms – is relevant to every industry and any organization of reasonable size. In fact, there are several distinct use case areas for military (and supporting infrastructure) digital decisioning.

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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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The Book Look: We The People (Playbook for Data Ethics)

TDAN

I love books that make you think. We The People, by Kathy Rondon, leads us down the path of rethinking what we do with data today and also, for most of us, makes us realize that we often do not consider ethics when using data today to make business decisions. To quote Kathy, “Just because […].

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Day in the Life of an Analyst at Gartner’s IT Symposium/EXPO 2022 – Day 1

Andrew White

It’s been a long time since I last did this – but we are back! I used to take more detailed notes about my movements throughout the day at Gartner’s IT Symposium/EXPO, with a blow by blow story explaining where I was and what I was doing. I figured that really the most useful information was not that. So this is going to be a summary of day 1, rather than all the details.

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Buyer Intent Data to Leverage Sales Growth

TDAN

If you could pinpoint the exact prospects and accounts in the market for your needs and then target them with messaging tailored to their specific buying stage, challenges, and interests— wouldn’t that be great? As marketers struggle to reach and resonate with the right audiences in a sea of competitive noise, intent data— data that […].

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Effective AI Scaling Starts With AI Governance

Dataiku

One of the primary challenges organizations face on their scaling AI journeys is a lack of operationalization and business impact. An O’Reilly survey revealed that only one quarter of respondents described their use of AI as “mature” and, often, this has to do with a significant number of machine learning models not making it into production.

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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.

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Data Value Chain: Lego Framework – Level 2

TDAN

“Data Driven” as a key word is not new. Success stories of implementing a data driven culture or creating successful “Data Products” is still new. We will continue to look at my proposed enterprise data management and high level lego framework in this article and focus on “Data Mission” Level 2. The recommended Lego blocks […].

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Learning from CEOs: Collaboration and connectivity are keys to navigating sustainability

IBM Big Data Hub

It’s the most frequently identified challenge CEOs expect to face over the next two to three years. It’s more vexing than regulation, cyber risk, and even supply chain disruptions. It’s sustainability, reveals IBM’s Institute for Business Value 2022 CEO Study “Own your impact: Practical pathways to transformational sustainability” As pressures from a broad set of stakeholders, most notably executive boards and investors, drive CEOs to define and pursue sustainability goals, CEOs are

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Citrix Validated for Nutanix Cloud Clusters on Azure

Nutanix

At #MSIgnite in Seattle, we announced that the Nutanix Cloud Clusters™ (NC2) platform is now available on the Microsoft Azure® cloud.

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What We Learned Auditing Sophisticated AI for Bias

O'Reilly on Data

A recently passed law in New York City requires audits for bias in AI-based hiring systems. And for good reason. AI systems fail frequently, and bias is often to blame. A recent sampling of headlines features sociological bias in generated images , a chatbot , and a virtual rapper. These examples of denigration and stereotyping are troubling and harmful, but what happens when the same types of systems are used in more sensitive applications?

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Entity Resolution Checklist: What to Consider When Evaluating Options

Are you trying to decide which entity resolution capabilities you need? It can be confusing to determine which features are most important for your project. And sometimes key features are overlooked. Get the Entity Resolution Evaluation Checklist to make sure you’ve thought of everything to make your project a success! The list was created by Senzing’s team of leading entity resolution experts, based on their real-world experience.

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Texas Rangers data transformation modernizes stadium operations

CIO Business Intelligence

In 2016, Major League Baseball’s Texas Rangers announced it would build a brand-new state-of-the-art stadium in Arlington, Texas. It wasn’t just a new venue for the team, it was an opportunity to reimagine business operations. The old stadium, which opened in 1992, provided the business operations team with data, but that data came from disparate sources, many of which were not consistently updated.

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Cloudera Uses CDP to Reduce IT Cloud Spend by $12 Million

Cloudera

Like all of our customers, Cloudera depends on the Cloudera Data Platform (CDP) to manage our day-to-day analytics and operational insights. Many aspects of our business live within this modern data architecture, providing all Clouderans the ability to ask, and answer, important questions for the business. Clouderans continuously push for improvements in the system, with the goal of driving up confidence in the data.

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Wonderla Holidays goes digital to enhance business and customer fun

CIO Business Intelligence

As the COVID-19 pandemic wanes, attendance at Wonderla amusement parks has hit new heights, leaving Bengaluru-headquartered Wonderla Holidays Ltd. at a crossroads. The company, listed on both the National Stock Exchange and the Bombay Stock Exchange, operates three amusement parks in Kochi, Bengaluru, and Hyderabad that were set up in 2000, 2005, and 2016, respectively, and plans to open two more amusement parks in the near future, in Chennai and Bhubaneswar.

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Alation and dbt Unlock Metadata and Increase Modern Data Stack Visibility

Alation

Alation is pleased to be named a dbt Metrics Partner and to announce the start of a partnership with dbt, which will bring dbt data into the Alation data catalog. In the modern data stack, dbt is a key tool to make data ready for analysis. Data analysts and engineers use dbt to transform, test, and document data in the cloud data warehouse. Yet every dbt transformation contains vital metadata that is not captured – until now.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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Radically Reduce Downtime and Data Loss with SaaS-based Disaster Recovery

CIO Business Intelligence

As 2022 wraps up, many IT leaders are re-evaluating their current infrastructure to understand how they can continue to modernize, reduce complexity at scale and — most importantly — protect their organization. Common pain points include management overhead and rising costs, with their overall impact on budget becoming a larger and larger concern. But it’s not just the price tag.

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The Perils of Heroic Data Work: Just Say, “Eww.”

DataKitchen

The Perils of Heroic Data Work: Just Say, “Eww.” We’ve all been there. You’re up against a deadline, working tirelessly to get the job done. But what happens when that “job” leaves a hairball of technical debt that will need to be fixed and improved tomorrow? And what if, in a rush to get it done, you’re skipping key steps like automated testing and version control?

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