Sat.Jan 14, 2023 - Fri.Jan 20, 2023

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Plumbing Wisdom for Data Pipelines

DataKitchen

While you’re admiring the latest cloud tech, don’t forget that humans have been debugging pipelines, at least since the Romans built the aqueducts. Any good plumber can give you some hard-won tips on managing data pipelines effectively, insights that might save your career from going down the drain. Your overalls are cleaner when you work on new construction. .

Testing 130
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Data Mesh vs Data Fabric: Understanding the Key Differences

Data Virtualization

Reading Time: 2 minutes In recent years, there has been a growing interest in data architecture. One of the key considerations is how best to handle data, and this is where data mesh and data fabric come into play. But what are the key. The post Data Mesh vs Data Fabric: Understanding the Key Differences appeared first on Data Virtualization blog - Data Integration and Modern Data Management Articles, Analysis and Information.

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Has the Data Warehouse Had Its Day?

BI-Survey

Data architecture is a topic that is as relevant today as ever. It is widely regarded as a matter for data engineers, not business domain experts. But is it really? Statements from countless interviews with our customers reveal that the data warehouse is seen as a “black box” by many and understood by few business users. Therefore, it is not clear why the costly and apparently flexibility-inhibiting data warehouse is needed at all.

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Data Science and Artificial Intelligence in 2023 – Difference, Applications, & Job Trajectory

Analytics Vidhya

Introduction Data Science and Artificial Intelligence (AI) are two of the most rapidly growing and exciting technological fields today. Both disciplines are revolutionizing how we process, analyze, and make sense of data to solve complex problems and make informed decisions. In this blog, we will delve into the definitions of Data Science and AI, explore […].

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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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A Data Scientist Explains: When Does Machine Learning Work Well in Financial Markets?

DataRobot Blog

As a data scientist, one of the best things about working with DataRobot customers is the sheer variety of highly interesting questions that come up. Recently, a prospective customer asked me how I reconcile the fact that DataRobot has multiple very successful investment banks using DataRobot to enhance the P&L of their trading businesses with my comments that machine learning models aren’t always great at predicting financial asset prices.

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What is an open data lakehouse and why you should care?

IBM Big Data Hub

A data lakehouse is an emerging data management architecture that improves efficiency and converges data warehouse and data lake capabilities driven by a need to improve efficiency and obtain critical insights faster. Let’s start with why data lakehouses are becoming increasingly important. Why is a data lakehouse architecture becoming increasingly important?

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Four starting points to transform your organization into a data-driven enterprise

IBM Big Data Hub

Due to the convergence of events in the data analytics and AI landscape, many organizations are at an inflection point. Regardless of size, industry or geographical location, the sprawl of data across disparate environments, increase in velocity of data and the explosion of data volumes has resulted in complex data infrastructures for most enterprises.

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What is Data Quality in Machine Learning?

Analytics Vidhya

Introduction Machine learning has become an essential tool for organizations of all sizes to gain insights and make data-driven decisions. However, the success of ML projects is heavily dependent on the quality of data used to train models. Poor data quality can lead to inaccurate predictions and poor model performance. Understanding the importance of data […] The post What is Data Quality in Machine Learning?

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The 2023 Market Agenda for Analytics: Empowering Workforces to Engage

David Menninger's Analyst Perspectives

Ventana Research recently announced its 2023 Market Agenda for Analytics , continuing the guidance we have offered for nearly two decades to help organizations derive optimal value from technology investments to improve business outcomes.

Marketing 130
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ChatGPT as a Python Programming Assistant

KDnuggets

Is ChatGPT useful for Python programmers, specifically those of us who use Python for data processing, data cleaning, and building machine learning models? Let's give it a try and find out.

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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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7 tell-tale signs of fake DevOps

CIO Business Intelligence

There’s no doubt that DevOps has helped many IT organizations achieve their goal of delivering applications and services faster and better than traditional software development processes. Unfortunately, while some IT leaders do a fine job of trumpeting DevOps’ benefits, their teams are headed in the wrong direction , embracing half-baked or completely wrong tools and practices.

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Governing Ethical AI: Rules & Regulations Preventing Unethical AI

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Artificial intelligence (AI) is rapidly becoming a fundamental part of our daily lives, from self-driving cars to virtual personal assistants. However, as AI technology advances, it is crucial to consider the ethical implications of its development and use. The use of AI […].

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7 Mistakes to Avoid When Using Machine Learning for SEO

Smart Data Collective

Companies around the world are projected to spend over $300 billion on machine learning technology by 2030. There are a growing number of reasons that companies are investing in machine learning, but digital marketing is at the top of the list. SEO, in particular, relies more heavily on machine learning these days. More Companies Are Discovering the Benefits of Using Machine Learning for SEO A few years ago, we wrote an article pointing out that machine learning is rewriting the rules of SEO.

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20 Questions (with Answers) to Detect Fake Data Scientists: ChatGPT Edition, Part 1

KDnuggets

Can ChatGPT provide answers to data science questions to the same standard of humans? Check out this attempt to do so, and compare the answers to those from experts.

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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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The 7 new rules of IT leadership

CIO Business Intelligence

The CIO role continues to evolve, changing as dramatically as the technology it manages and maintains. Moreover, the pace of the chief IT position’s transformation seems to be accelerating — likewise mirroring the speed of change in the tech stack. Consequently, tech executives must lead, manage, and work differently than they did in the past. How so?

IT 145
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AWS Lambda Tutorial: Creating Your First Lambda Function

Analytics Vidhya

Introduction to AWS AWS, or Amazon Web Services, is one of the world’s most widely used cloud service providers. It is a cloud platform that provides a wide variety of services that can be used together to create highly scalable applications. AWS has many clusters of data centers in multiple countries across the globe. These […]. The post AWS Lambda Tutorial: Creating Your First Lambda Function appeared first on Analytics Vidhya.

Analytics 338
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Data Visualization Boosts Business Scalability with Sales Mapping

Smart Data Collective

Data visualization tools have become very useful for many businesses. Companies use data visualization for trend mapping, data contextualization and various forms of business optimization. Therefore, it should come as no surprise that global companies are projected to spend over $10.2 billion on data visualization technology within the next three years.

Sales 114
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SQL and Data Integration: ETL and ELT

KDnuggets

In this article, we will discuss use cases and methods for using ETL (Extract, Transform, Load) and ELT (Extract, Load, Transform) processes along with SQL to integrate data from various sources.

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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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8 ‘future of work’ mistakes IT leaders must avoid

CIO Business Intelligence

CIOs supporting a hybrid mix of in-office and remote workers, and those who float between, need to implement new tools and strategies to get it right. But they will also need to change how they think about hybrid work, which analyst firm Forrester characterizes as “messy” even as it says 51% of organizations are moving in this direction. Hybrid work is often thought of in terms of location, according to a November Gartner report.

IT 144
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Ensemble Learning Methods: Bagging, Boosting and Stacking

Analytics Vidhya

Introduction Machine learning is great! But there’s one thing that makes it even better: ensemble learning. Ensemble learning helps enhance the performance of machine learning models. The concept behind it is simple. Multiple machine learning models are combined to obtain a more accurate model. Bagging, boosting and stacking are the three most popular ensemble learning techniques. […] The post Ensemble Learning Methods: Bagging, Boosting and Stacking appeared first on Analytics Vidhy

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Optimizing Cost with DevOps on the Cloud

Smart Data Collective

Are you looking for a way to reduce the cost of your development efforts? DevOps on the cloud could be the answer! DevOps is an increasingly popular approach that combines software development and operations, allowing developers and IT professionals to work together more efficiently. With DevOps on the cloud, businesses can take advantage of faster, more flexible computing environments without having to invest in expensive hardware and software.

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Fast-track your next move with in-demand data skills

KDnuggets

DataCamp offers over 400 interactive courses, projects, and career tracks in the most popular data technologies such as Python, SQL, R, Power BI, and Tableau. Start today and save up to 67% on career-advancing learning.

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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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Choice Hotels’ all-in cloud journey to sustainable business value

CIO Business Intelligence

Choice Hotels International’s early and big bet on the cloud has allowed it to glean the many benefits of its digital transformation and devote more energies to a key corporate value — sustainability, its CIO maintains. That is largely due to the 80-year-old hotel chain’s tight partnership with Amazon Web Services, says Choice CIO Brian Kirkland, who claims his company is enjoying the cost benefits and energy efficiencies of the cloud while exploiting many of 225 related services AWS offers such

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Unlock Learnings with the January DataHour Sessions!

Analytics Vidhya

Introduction If you are looking for a platform where you can learn about Data Science, then look no more! Analytics Vidhya is the one. We have always kept our community at the centre stage of the ecosystem. In mind, Analytics Vidhya has launched the DataHour sessions, which will improve your domain knowledge and help you […] The post Unlock Learnings with the January DataHour Sessions!

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AI Trends Are Shaping Sales

TDAN

The sales industry has been witnessing the rise of AI and automation over many years and 2023 will not be an exception. To stand out in a competitive industry, businesses must invest in revamping their existing sales processes and crafting a modern sales strategy that aligns with the sales predictions for 2023. The role AI […].

Sales 98
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How to Use Python and Machine Learning to Predict Football Match Winners

KDnuggets

We will be learning web scraping and training supervised machine-learning algorithms to predict winning teams.

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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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4 moves CIOs should make to achieve a more efficient IT organization

CIO Business Intelligence

The effects of such an unpredictable environment are profound, and no organization in any industry is immune. Looking across our client base, we expect to see varying degrees of impact as the turbulence continues. The common thread? In almost every case, there’s an increased need for data insight and technology-enabled agility to reaffirm technology’s position at the center of investment strategy in order to achieve organizational growth.

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Unveiling Financial Insights: A Financial EDA Journey

Analytics Vidhya

This article was published as a part of the Data Science Blogathon. Introduction Once upon a time, there was an individual trader named Anand. He was a novice in the finance industry, and like many traders, he struggled to find a consistent and profitable trading strategy. Anand was determined to improve his skills and searched […]. The post Unveiling Financial Insights: A Financial EDA Journey appeared first on Analytics Vidhya.

Finance 313
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4 Trends for AI Financial Services in 2023

Dataiku

Unstable, uncertain, unpredictable: these are just three of the words that have become shorthands for the past three years in the global economy and world politics. Enterprises in the financial services and insurance (FSI) industry are very familiar with them — painfully so, in many cases. The global economic shock produced by the pandemic, followed by the disruptions to the supply chain caused by the war in Ukraine, have left many firms bracing for an uncertain near-term future and seeking to a

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Top Posts January 9-15: Python Matplotlib Cheat Sheets

KDnuggets

Python Matplotlib Cheat Sheets • How to Select Rows and Columns in Pandas • 7 Best Platforms to Practice SQL • How to Perform Unit Testing in Python? • Google Data Analytics Certification Review.

Testing 107
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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.