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Apr 29 2024
The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights


Businesses today are drowning in data. The sheer volume and complexity of information available have made it increasingly difficult for organizations to extract meaningful insights using traditional business intelligence (BI) tools and the expertise of specialized data scientists. This is where augmented analytics comes in. This game-changing technology combines the power of artificial intelligence (AI) […]

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Author: Nahla Davies

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Apr 23 2024
Signal vs. Noise: Balancing On-Call Hygiene for Data-Driven Teams


In the real-time software world, 24×7 uptime is critical for core software where millions of transactions occur every second. In 2018, Amazon’s Prime Day event experienced a 13-minute outage that, according to some estimates, may have cost the company up to $99 million in lost sales. Reliability is paramount when the business depends on it […]

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Author: Tejaswi Agarwal

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Mar 18 2024
The Role of Quantum Computing in Data Science


Quantum computing is on the cusp of turning the data science world upside down, offering a level of processing power we’ve only dreamed of until now.  This new frontier has an incredible potential to reshape the way we approach data analysis, predictive modeling, and solving the kind of complex problems that have always been a tough […]

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Author: Nahla Davies

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Feb 26 2024
Effective Code Documentation for Data Science Projects


Code documentation is a detailed explanation of how the code works. It is a comprehensive guide that helps developers understand and use the code effectively. It is like a manual for your source code, providing information on the purpose of the code, how it is structured, and how it can be modified. Many developers might […]

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Author: Gilad David Maayan

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Jan 26 2024
2024 Predictions in AI and Natural Language Processing (NLP)


While we were right at the dawn of generative AI this time last year, we didn’t predict quite the profound impact and seismic shift it would create around the world with the introduction of ChatGPT. In our set of 2023 predictions, we did note the potential effect of LLMs, with research showing their ability to self-improve, […]

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Author: Jeff Catlin and Paul Barba

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Jan 12 2024
Three Myths About Generative AI in the Workplace – and How You Can Bust Them


In the past year or so, generative AI has received more media attention than any other type of technology. Up until this point, data science has been at the center of these innovation stories, and rightfully so: None of the next-generation technology tools can work without a strong data science program.  As soon as generative […]

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Author: Leah Cooper

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Jan 12 2024
Four Perspectives on the Art of Data Analytics


As data science professionals, we are often viewed as people who draw conclusions based only on data and minimize other factors. This perception usually becomes contentious when the insights and evidence from the data are inconsistent with somebody else’s “hypothesis.” Or we are confused and maybe frustrated when “qualitative” analysis trumps quantitative analysis. The next time […]

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Author: Jason Jue

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Jan 11 2024
Why Data Intelligence Is Imperative to Achieve a Clean Energy Future


We should be further along with the consumer adoption of renewable energy. Solar energy has long since emerged as the lowest cost per kWh power source, making it a key puzzle piece in our transition to clean energy. Added to that, the Inflation Reduction Act of 2022 was passed to significantly incentivize private investment into clean energy […]

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Author: Jason Conrad

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Dec 12 2023
Supercharging Data Management in the Climate-Risk Sector


The insurance industry and the broader risk management sector have long contended with Data Management issues. Updating and integrating legacy systems while ensuring quality across the board has proved difficult for most people in these fields. For those working in the climate solutions space, Data Management constitutes a challenge because of the diverse and dynamic […]

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Author: Mackenzie Mikkelson

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Oct 19 2023
AI Personalization: Challenges and Practical Strategies for Startups


Personalization is an effective way to drive revenue growth, increase customer engagement, and enhance customer satisfaction. According to a survey by Accenture, 91% of consumers are more likely to shop with brands that recognize, remember, and provide relevant offers and recommendations. In recent years, businesses have recognized the value of personalization in improving customer experience by leveraging […]

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Author: Rohan Singh Rajput

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Oct 13 2023
Managing a Freelance Data Science Team


In this dynamic era, the freelance economy is experiencing an unprecedented boom, significantly reshaping the work landscape. This shift is leading to the increasing prominence of freelance management, which includes sourcing, coordinating, and retaining independent talent in a strategic manner. This article particularly focuses on how to manage a freelance data science team, a trend […]

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Author: Gilad David Maayan

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Sep 22 2023
What Is Metaflow? Quick Tutorial and Overview


As data science continues to evolve, new tools and technologies are being developed to help individuals and organizations streamline their workflows, improve efficiency, and drive better results. One of the most powerful and innovative tools in this space is Metaflow, a Python library that makes it easy to build and manage data science workflows. In […]

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Author: Gilad David Maayan

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Sep 15 2023
Introducing the Data Analytics Fabric Concept


Organizations all over the world – both profit and nonprofit – are looking at leveraging data analytics for improved business performance. Findings from a McKinsey survey indicate that data-driven organizations are 23 times more likely to acquire customers, six times as likely to retain customers, and 19 times more profitable [1]. Research by MIT found that digitally mature firms are 26% […]

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Author: Arun Marar and Prashanth Southekal

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Sep 15 2023
Yes, Being a Citizen Data Scientist Can Help You Succeed


If your enterprise has nominated you for the role of a citizen data scientist, you must have the right tools and augmented analytics features to help you fulfill your role.  Gartner has predicted that “90% of corporate strategies will explicitly mention information as a critical enterprise asset and analytics as an essential competency.” This statement, coupled with […]

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Author: Kartik Patel

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Sep 6 2023
Is Your Data Ready for Generative AI?


Generative AI (GenAI) is all the rage in the world today, thanks to the advent of tools like ChatGPT and DALL-E. To their credit, these innovations are extraordinary. They’ve put the power of artificial intelligence and machine learning (AI/ML) into the hands of everyday users. However, these tools have also skewed our perceptions of what […]

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Author: Jeff Carson

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Sep 5 2023
Finding the Right Data Science Role: 4 Key Criteria


Landing a Data Science role is one thing, but joining an organization where you can truly thrive is quite another. As a Data Science talent strategy leader, I can share my perspective on what I believe solid organizations will have in place to foster an engaged and developing data science community. To anyone navigating today’s Data […]

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Author: Lyndsey Padden

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Aug 30 2023
10 Highest-Paying Data Analytics Jobs in 2023


As one of the fastest-growing fields, technology continues to drive transformative changes across various industries, with new advancements emerging each year. Consequently, the demand for data analytics jobs is expected to surge in the near future, with a significant need for data science practitioners worldwide. The U.S. Bureau of Labor Statistics (2021) projects a 22% growth […]

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Author: Rohail Abrahani

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Aug 23 2023
Smart Data Visualization Tells a Story Your Users Will Love


The Wharton School of Management reports that only half of an audience is convinced by a purely verbal presentation, but that number jumps to over two-thirds when visuals are added. Why is that? The answer is simple. Our brains grasp and respond to images, colors, and patterns and more quickly assimilate information. Presenting data with colors […]

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Author: Kartik Patel

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Aug 17 2023
Overcome Data Parsing Obstacles with the Power of Machine Learning


Web scraping is used for, among other things, getting the vast volumes of publicly available data needed for training algorithms for machine learning (ML). The relationship between data scraping and ML is, however, symbiotic rather than one-sided. On the other side is ML’s ability to improve the fundamental procedures underlying web data gathering, making it […]

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Author: Juras Juršėnas

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Aug 10 2023
Which Data Quality Issues Are Plaguing Data Engineers Today?


We’ve all generally heard that data quality issues can be catastrophic. But what does that look like for data teams, in terms of dollars and cents? And who is responsible for dealing with data quality issues? To get to the bottom of these questions and more, we conducted a survey of 100 survey respondents, at least 63 […]

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Author: Kyle Kirwan

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Jul 28 2023
The Growing Impact of AI on Data Science in 2023


While AI’s ubiquity is becoming increasingly evident through everyday tools like chatbots, smart cameras, and smart content generation, there’s an expansive universe of less recognized but highly potent advancements poised to redefine how data scientists interact with and leverage the burgeoning volume and complexity of datasets. Emerging AI trends such as natural language processing, reinforcement learning, […]

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Author: Nahla Davies

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May 31 2023
Why Geospatial Data Should Be Easily Accessible for Every Employee


Unlocking the power of geospatial data can give organizations a competitive edge, from optimizing supply chain logistics and enhancing customer experience to mitigating fraud and improving public health outcomes. But despite its far-reaching benefits, many organizations fail to fully harness geospatial data’s potential.  Why? Because geospatial data is voluminous, complex, and often distributed across multiple […]

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Author: Rosaria Silipo

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