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This article was published as a part of the Data Science Blogathon Building a simple Machine Learning model using Pytorch from scratch. Image by my great learning Introduction Gradient descent is an optimization algorithm that is used to train machine learning models and is now used in a neural network. Training data helps the model learn […].
For many years, organizations (mostly consumer-facing) have placed the “voice of the customer” (VoC) high on their priority list of top sources for customer intelligence. The goals of such activities are to improve customer service, customer interactions, customer engagement, and customer experience (CX) through just-in-time customer assistance, personalization, and loyalty-building activities.
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DataOps has become an essential methodology in pharmaceutical enterprise data organizations, especially for commercial operations. Companies that implement it well derive significant competitive advantage from their superior ability to manage and create value from data. They will be able to produce high-quality, on-demand insight that consistently leads to successful business decisions.
AI adoption is reshaping sales and marketing. But is it delivering real results? We surveyed 1,000+ GTM professionals to find out. The data is clear: AI users report 47% higher productivity and an average of 12 hours saved per week. But leaders say mainstream AI tools still fall short on accuracy and business impact. Download the full report today to see how AI is being used — and where go-to-market professionals think there are gaps and opportunities.
This article was published as a part of the Data Science Blogathon Introduction Do you wish you could perform this function using Pandas. Well, there is a good possibility you can! For data scientists who use Python as their primary programming language, the Pandas package is a must-have data analysis tool. The Pandas package has everything […].
The annual Ventana Research Digital Innovation Awards showcase advances in the productivity and potential of business applications, as well as technology that contributes significantly to the improved processes and performance of an organization. Our goal is to recognize technology and vendors that have introduced noteworthy digital innovations to advance business and IT.
Artificial intelligence is one of the fastest-growing technologies. It grew 270% in just four years since more companies started noticing its benefits and adopted this technology. eCommerce businesses are no exception. Over 50 percent of them use AI for various purposes, like creating personalized services and automation. This article will share the basic concept of AI, including its definition, types, and current trends.
Artificial intelligence is one of the fastest-growing technologies. It grew 270% in just four years since more companies started noticing its benefits and adopted this technology. eCommerce businesses are no exception. Over 50 percent of them use AI for various purposes, like creating personalized services and automation. This article will share the basic concept of AI, including its definition, types, and current trends.
Have you nailed all the data visualization basics? Stuff like… ?You know pie charts are bad except in certain specific use cases; ?You can spot chartjunk from a mile away; ?You confidently pick the right kind of chart based on what you want to emphasize in the data; ?You use just the right amount of color to bring meaning, but not so much as to distract; ?
ArticleVideo Book This article was published as a part of the Data Science Blogathon Source Intro: In this article, I will walk you. The post Python Tutorial: Working with CSV file for Data Science appeared first on Analytics Vidhya.
We are taking a break on the AI regulation series to take a step back and clarify the connection between AI Governance, MLOps, and Responsible AI. These three concepts fall off the tip of the tongues of industry practitioners, researchers, and regulators alike, all without having clearly defined connections or boundaries. At Dataiku , we believe that these concepts are central pieces of being able to scale with AI.
There are a lot of great things about living in an era governed by big data. Big data creates a lot of new opportunities in business and our personal lives. However, there are also downsides to the sudden influx of data in the 21st Century. One major concern is that big data has made identity theft risks more significant. Addressing the Risk of Identity Theft in a World Increasingly Dependent on Big Data.
Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage
When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m
Cloudera recently appointed a Cloud Director for Asia Pacific (APAC), Stevie Walsh, to help drive our hybrid and multi-cloud offerings in the region, supporting our customers in accelerating their digital transformation journey. We’ve asked her to share her cloud vision for Cloudera in APAC and the exciting plans that she has in her new position. What drew you to work in the cloud space?
This article was published as a part of the Data Science Blogathon Clustering The very first clustering algorithm that most people get exposed to is k-Means clustering. This is probably because it is very simple to understand, however, it has several disadvantages which I will mention later. Clustering is generally viewed as an unsupervised […].
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Cloud backup, also known as cloud computing, refers to the temporary storing of data on a remote cloud-hosted server. In a way, it behaves like cloud storage, enabling you to store and access information from multiple geographically dispersed and interconnected cloud environments. However, unlike a traditional data backup service, the best cloud backup does not store data on individual files but a virtual file system (VFS).
The DHS compliance audit clock is ticking on Zero Trust. Government agencies can no longer ignore or delay their Zero Trust initiatives. During this virtual panel discussion—featuring Kelly Fuller Gordon, Founder and CEO of RisX, Chris Wild, Zero Trust subject matter expert at Zermount, Inc., and Principal of Cybersecurity Practice at Eliassen Group, Trey Gannon—you’ll gain a detailed understanding of the Federal Zero Trust mandate, its requirements, milestones, and deadlines.
There is an urgent need for banks to be nimble and adaptable in the thick of a multitude of industry challenges, ranging from the maze of regulatory compliance, sophisticated criminal activities, rising customer expectations and competition from traditional banks and new digital entrants. As banks find their bearings in this landscape, what appear to be insurmountable odds are in fact opportunities for growth and competitive differentiation. .
ArticleVideo Book This article was published as a part of the Data Science Blogathon Introduction The purpose of this article is to understand what is granger. The post Granger Causality in Time Series – Explained using Chicken and Egg problem appeared first on Analytics Vidhya.
In a recent blog, we talked about how, at DataRobot , we organize trust in an AI system into three main categories: trust in the performance in your AI/machine learning model , trust in the operations of your AI system, and trust in the ethics of your modelling workflow, both to design the AI system and to integrate it with your business process. In each of these categories is a set of dimensions of trust.
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GAP's AI-Driven QA Accelerators revolutionize software testing by automating repetitive tasks and enhancing test coverage. From generating test cases and Cypress code to AI-powered code reviews and detailed defect reports, our platform streamlines QA processes, saving time and resources. Accelerate API testing with Pytest-based cases and boost accuracy while reducing human error.
Meet Barnabas Maidics. . Barnabas is a 3 year Clouderan working as a Software Engineer in Hungary. . Having started his journey at Cloudera as an intern and then making his way to the Data In Motion team, Barnabas feels his first experience in the real world of work has allowed him to grow, not only professionally but on a personal level as well. He’s always known this was the career path for him.
This article was published as a part of the Data Science Blogathon Introduction To use LRU caching in Python, you just need to add two lines – import and declaration of the @lru_cache decorator. We show with examples how and why to use it. Caching is one approach that, if used correctly, significantly speeds up work […]. The post Caching in Python: the LRU algorithm appeared first on Analytics Vidhya.
I recently had the chance to be on the Community Possibilities® podcast with Ann Price. Ann owns Community Evaluation Solutions and helps community leaders plan and evaluate strategies to create lasting change. She started the podcast as a way to connect with community leaders to talk about root causes, dig deeper into understanding social and health inequities and to connect by talking with each other instead of at each other.
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ZoomInfo customers aren’t just selling — they’re winning. Revenue teams using our Go-To-Market Intelligence platform grew pipeline by 32%, increased deal sizes by 40%, and booked 55% more meetings. Download this report to see what 11,000+ customers say about our Go-To-Market Intelligence platform and how it impacts their bottom line. The data speaks for itself!
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As Back to School promotions hit the shelves, Christmas & New Year offers are already locked in. Are these long-lead cycles still effective in today’s dynamic Retail & CPG environment?
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