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Author: Kartik Patel
From Fortune 500 companies to local startups, everyone’s swimming in a sea of numbers, charts, and graphs. But here’s the thing: While structured data like sales figures and customer demographics have long been the backbone of analytics, there’s a growing realization that unstructured data is the real goldmine. Think about it. Every tweet, email, customer review, and social […]
The post The Hidden Language of Data: How Linguistic Analysis Is Transforming Data Interpretation appeared first on DATAVERSITY.
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Author: Nahla Davies
You may not be an analytics expert and you may find terms like PMML integration somewhat daunting. But, in reality, the concept is not complex, and the value is outstanding. So, what is PMML integration? PMML stands for “predictive model markup language.” It is an interchange format that provides a method by which analytical applications and […]
The post What Is PMML and Why Is It Important? appeared first on DATAVERSITY.
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Author: Kartik Patel
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) […]
The post The Rise of Augmented Analytics: Combining AI with BI for Enhanced Data Insights appeared first on DATAVERSITY.
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Author: Nahla Davies
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 […]
The post The Role of Quantum Computing in Data Science appeared first on DATAVERSITY.
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Author: Nahla Davies
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 […]
The post Effective Code Documentation for Data Science Projects appeared first on DATAVERSITY.
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Author: Gilad David Maayan
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 […]
The post Three Myths About Generative AI in the Workplace – and How You Can Bust Them appeared first on DATAVERSITY.
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Author: Leah Cooper
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 […]
The post AI Personalization: Challenges and Practical Strategies for Startups appeared first on DATAVERSITY.
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Author: Rohan Singh Rajput
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 […]
The post Managing a Freelance Data Science Team appeared first on DATAVERSITY.
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Author: Gilad David Maayan
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 […]
The post What Is Metaflow? Quick Tutorial and Overview appeared first on DATAVERSITY.
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Author: Gilad David Maayan
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% […]
The post Introducing the Data Analytics Fabric Concept appeared first on DATAVERSITY.
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Author: Arun Marar and Prashanth Southekal
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 […]
The post Is Your Data Ready for Generative AI? appeared first on DATAVERSITY.
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Author: Jeff Carson
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 […]
The post Finding the Right Data Science Role: 4 Key Criteria appeared first on DATAVERSITY.
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Author: Lyndsey Padden
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, […]
The post The Growing Impact of AI on Data Science in 2023 appeared first on DATAVERSITY.
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Author: Nahla Davies
Our new eBook “Data-Driven Analytics Use Cases Powered by the Avalanche Cloud Data Platform” is designed for users and application builders looking to address a wide range of data analytics, integration, and edge use cases. We have included the following examples from real-world customer experiences and deployments to serve as a guide to help you understand what is possible with the Actian (also known as Avalanche) platform.
With the Actian (also known as Avalanche) platform powering Customer 360, organizations can rapidly personalize the customer experience through micro-segmentation, next-best action, and market basket analysis while improving customer acquisition and retention through campaign optimization, and churn analysis to increase customer loyalty.
The Actian Data platform helps healthcare payer and provider organizations leverage analytics to protect their businesses against fraud, increase care delivery, provider efficiency, and accuracy, while accelerating the transformation to an outcome-centric model.
Edge applications and devices rely on complex data processing and analytics to improve automation and end-user decision support. The underlying cloud and edge data management solutions must leverage a variety of hardware architectures, operating systems, communications interfaces, and languages. The Actian Platform and its Zen Edge Data Management option provide broad, high-performant, and cost-effective capabilities for this demanding set of requirements.Â
With the explosion of ITOps, DevOps, AIOps, and SecOps data streaming from multiple clouds, applications, and on-premises platforms, many vendors are working to provide data visibility in their domains. However, they fall short of creating a holistic view to predictively identify trouble spots, security risks, and bottlenecks. How can businesses gain real-time actionable insights with a holistic IT analytics approach? The Actian platform makes it easy to combine data from thousands of data sources into a unified hybrid-cloud data platform capable of real-time analysis of applications, infrastructure, and security posture.
Manufacturing is a far more complex process, compared with just a few decades ago, with subcomponents required to assemble a single final product sourced from several places around the globe. Along with this complexity is a massive amount of data that needs to be analyzed to optimize supply chains, manage procurement, address distribution challenges, and predict needs. The Actian platform helps companies easily aggregate and analyze massive amounts of supply chain data to gain data-driven insights for optimizing supply chain efficiency, reducing disruptions, and increasing operating margins.
The Actian Data Platform enables data science teams to collaborate across the full data lifecycle with immediate access to data pipelines, scalable compute resources, and preferred tools. In addition, the Actian platform streamlines the process of getting analytic workloads into production and intelligently managing machine learning use cases from the edge to the cloud. With built-in data integration and data preparation for any streaming, edge, or enterprise data source, aggregation of model data has never been easier. Combined with direct support for model training systems and tools and the ability to execute models directly within the data platform alongside the data, companies can capitalize on dynamic cloud scaling of analytics, compute, and storage resources.
Customers trust Actian because we provide more than just a platform. We help organizations make confident, data-driven decisions to reduce costs and enhance performance. Using our Actian Data Platform, companies can easily connect, manage, and analyze their data for a wide range of use cases. You can trust that your teams are making the best decisions that address today’s challenges and anticipate future needs.
Read the eBook to learn more.
The post Data-Driven Analytics Use Cases Powered by the Avalanche Cloud Data Platform appeared first on Actian.
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Author: Teresa Wingfield
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 […]
The post Why Geospatial Data Should Be Easily Accessible for Every Employee appeared first on DATAVERSITY.
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Author: Rosaria Silipo
Our guest today is Ashish Patel, Chief Data Scientist at IBM. He’ll share his story, how to get into the field and best practices to follow as a business data scientist. He’ll also tell us why the agile methodology is not the best to use for ML/AI projects, what are the important things to follow […]
The post How to Think as a Business Data Scientist appeared first on LightsOnData.
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Author: George Firican