Sat.Nov 12, 2022 - Fri.Nov 18, 2022

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Mind the Gap Between Data and Analytics

David Menninger's Analyst Perspectives

If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility.

Analytics 281
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Leveraging Content Management Software to Facilitate a Cloud-First Approach

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. This has pushed many organizations to accelerate their digital transformation efforts in order to remain competitive and better serve their constituents — and there is no sign of slowing down.

Software 144
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Building Our Applications Using Flutter

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich. In other words, Flutter is a tool used in […]. The post Building Our Applications Using Flutter appeared first on Analytics Vidhya.

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DataOps Observability: Taming the Chaos (Part 3)

DataKitchen

Part 3: Considering the Elements of Data Journeys. This is the third post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.

Testing 130
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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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Introduction to Pandas for Data Science

KDnuggets

The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.

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Why CIOs should invest in digital through economic headwinds

CIO Business Intelligence

During the opening keynote at the recent Gartner IT Symposium in Barcelona, Gartner analysts said that CIOs should look to its latest moniker, IT for sustainable growth , to drive business transformation by focusing on three key strategies: ‘revolutionary work’ to empower the workforce, ‘responsible investment’ to balance financial and sustainability objectives, and ‘resilient cybersecurity’ to support business outcomes “without constraining them”.

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How Artificial Intelligence Can Improve Your Fundraising Efforts

Smart Data Collective

AI technology has radically changed the future of many industries and is changing the way companies do business forever. Most of the discussions on the benefits of AI focus on helping traditional businesses boost their bottom line. In our capitalist economy, this is not surprising. However, AI also offers many benefits for nonprofits. Dr. Lobna Karoui of the Forbes Nonprofit Council wrote an article on the many excellent benefits of AI.

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If I Had To Start Learning Data Science Again, How Would I Do It?

KDnuggets

While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.

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What Whirlpool’s CIO does to make its digital business models run end to end

CIO Business Intelligence

As a household name in household goods, with annual sales of $22 billion, Whirlpool has 54 manufacturing and tech research centers worldwide, and bursts with a portfolio that includes several familiar brands including KitchenAid, Maytag, Amana, Yummly, among others. The company employs 69,000 around the world as well and Danielle Brown, the company’s SVP and CIO, has a unique perspective on how best to lead the company’s digital transformation strategy.

IT 133
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Comprehensive Guide for Interview Questions on Transfer Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].

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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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Top 5 Reasons You Should Become a Data Analyst

Smart Data Collective

Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day. Data is everything in today’s tech-driven world. Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.

Sales 113
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How LinkedIn Uses Machine Learning To Rank Your Feed

KDnuggets

In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.

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What are decision support systems? Sifting data for better business decisions

CIO Business Intelligence

Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another.

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Hierarchical Clustering in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].

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How to Build an Experimentation Culture for Data-Driven Product Development

Speaker: Margaret-Ann Seger, Head of Product, Statsig

Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating

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Advances In AI Help Marketers With Live Streaming Video Marketing

Smart Data Collective

The COVID-19 pandemic fundamentally altered the marketing landscape , and in many ways for the better. While live streaming and video marketing have long been a part of a marketers toolkit, the prolonged lockdowns, social distancing, and travel bans over the course of the pandemic helped thrust it into the limelight, resulting in widespread adoption and since making it indispensable for business. .

Marketing 108
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What To Expect for AI Quality Trends In 2023

KDnuggets

Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.

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CDO resumes: 5 tips for landing a chief data officer role

CIO Business Intelligence

As companies start to adapt data-first strategies, the role of chief data officer is becoming increasingly important, especially as businesses seek to capitalize on data to gain a competitive advantage. A role historically focused on data governance and compliance, the scope of responsibilities for CDOs has since grown, pushing them to become strategic business leaders , according to data from IDC.

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Top Interview Questions on Voting Ensembles in Machine Learning

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Voting ensembles are the ensemble machine learning technique, one of the top-performing models among all machine learning algorithms. As voting ensembles are the most used ensemble techniques, there are lots of interview questions related to this topic that are asked in data […].

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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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5 Reasons Why Your Organization Should Store Data in the Cloud

Smart Data Collective

Cloud technology is becoming more essential for modern organizations with each passing day. A report by Gartner shows that cloud technology has transformed modern business in previously unimaginable ways. The report indicated that 75% of organizations using the cloud have a “cloud first” policy, which is a much higher figure than previous versions of the report indicated.

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Git for Data Science Cheatsheet

KDnuggets

Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.

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4 Tips to Managing Modernization Without Disruption

CIO Business Intelligence

By Milan Shetti, CEO Rocket Software In today’s digital world, technology can make or break a company’s outcomes for its customers. As a result, all companies that use technology to meet or solve customer needs should consider themselves a tech company. In order to meet ever-changing customer demands, it’s critical that companies understand why and how to successfully modernize their tech stacks in order to provide a top-notch customer experience.

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Analyzing and Comparing Deep Learning Models

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.

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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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Using ML and Dataiku to Make 2022 FIFA World Cup Predictions

Dataiku

It’s been four years since the last World Cup in 2018, when France won their second star on their crest. Even if you are not particularly interested in football, you might still find that World Cups are a fun moment where people share joy and excitement. I wanted to participate, but my knowledge would be limited to knowing Neymar and Kylian Mbappé's names.

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Research Papers for NLP Beginners

KDnuggets

Read research papers on neural models, word embedding, language modeling, and attention & transformers.

Modeling 155
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Versatility of Using Machine Learning for Video Editing

Smart Data Collective

Video editing has changed significantly over the years. During the first half of the 20th Century, people had to splice film manually, which could create all kinds of problems. Machine learning technology is one of the new technologies that has drastically changed the state of video editing. This technology uses deep neural networks to automate the process.

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Top 8 Interview Questions on TensorFlow

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].

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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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With No-Code/Low-Code Solutions, Companies Find Flexibility and Reduce Cost

CIO Business Intelligence

In today’s fast-paced business world, where companies must constantly innovate to keep up with competitors,depending on fully customizable software solutions created with programming languages and manual coding is insufficient. Instead, enterprises increasingly are pursuing no-code and low-code solutions for application development. No-code and low-code development entails creating software applications by using a user-friendly graphic interface that often includes drag and drop.

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7 SQL Concepts You Should Know For Data Science

KDnuggets

The post explains all the key elements of SQL that you must know as a data science practitioner.

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Doing More with Less: 5 Ways Leading Organizations Maximize the Value of their Data

Teradata

"Doing more with less” is a familiar refrain echoing through the halls of many organizations. To answer this call, businesses are searching for efficiency gains & turning to data to unlock savings.

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State Space Search Optimization Using Local Search Algorithms

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].

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Strategic CX: A Deep Dive into Voice of the Customer Insights for Clarity

Speaker: Nicholas Zeisler, CX Strategist & Fractional CXO

The first step in a successful Customer Experience endeavor (or for that matter, any business proposition) is to find out what’s wrong. If you can’t identify it, you can’t fix it! 💡 That’s where the Voice of the Customer (VoC) comes in. Today, far too many brands do VoC simply because that’s what they think they’re supposed to do; that’s what all their competitors do.