Tue.Sep 14, 2021

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A Partner Ecosystem To Unlock AI’s Potential

DataRobot

Welcome to the New Era of AI. Our newly-launched DataRobot AI Cloud turns the possibilities of AI into tangible realities. How? By being built specifically for the demands, challenges, and opportunities of AI today. Now, data scientists , analytics experts , business users , and IT teams can collaborate in a single, unified platform. Now, all data from all sources can come together in a single system of record.

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Four Data Engineering Fundamentals All Data Scientists Must Know

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Data Science is a team sport, we have members adding value across the analytics/data science lifecycle so that it can drive the transformation by solving challenging business problems. We have multiple team members in a data science team: data engineers who create the […].

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What Should Enterprises Do to Offset Future Technology Disruption?

DataKitchen

The post What Should Enterprises Do to Offset Future Technology Disruption? first appeared on DataKitchen.

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Building an Interactive Dashboard using Bokeh and Pandas

Analytics Vidhya

This article was published as a part of the Data Science Blogathon image source: Author The Importance of Data Visualization A huge amount of data is being generated every instant due to business activities in globalization. Companies are extracting useful information from such generated data to make important business decisions. Exploratory Data analysis can help […].

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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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Popular Myths About AI

TDAN

Artificial Intelligence (AI) is the most talked-about technology currently and for obvious reasons. However, in the face of many facts about this technology, there have been several myths. For example, many associate it with Terminator-like scenes where machines take over the world, among other myths. In this article, we will be discussing and debunking some […].

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Programming in R – From Variables to Visualizations

Analytics Vidhya

This article was published as a part of the Data Science Blogathon R programing language was developed for statistical computing and graphics which makes it one of the desired candidates for Data Science and Analysis. Even though it might not hold much popularity among the newcomers in the field, many veterans and seasoned data scientists favour […].

More Trending

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How To Evaluate The Business Value Of a Machine Learning Model

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Overview The hardest thing is to keep things simple and that’s true in data science as well. In any data science project, the iterative process of refining the data, fine-tuning the models, deploying them is a continuous process. With all the advancements in tools, […]. The post How To Evaluate The Business Value Of a Machine Learning Model appeared first on Analytics Vidhya.

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Troubleshooting Issues and Getting Help With Dataiku

Dataiku

Dataiku revolutionizes how companies work with their data, enabling any user — from beginners with no programming knowledge to experienced data scientists with advanced knowledge and complex data flows — to make their work more transparent and efficient.

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Building Resnet-34 model using Pytorch – A Guide for Beginners

Analytics Vidhya

This article was published as a part of the Data Science Blogathon Introduction Deep learning has evolved a lot in recent years and we all are excited to build deeper architecture networks to gain more accuracies for our models. These techniques are widely tried for Image related works like classification, clustering, or synthesis. Going deep may […].

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Data’s Gender Gap: Keeping Ourselves in Check

TDAN

What is the work of data management and analysis for if we don’t properly gather, utilize, and listen to the information we say we’re seeking? While it is reasonable to believe in the burden of proof, endless data collection with no clear direction in mind to address related phenomena is a waste of everyone’s time. […].

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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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Customer segmentation and its importance

Aryng

Customer segmentation is a methodology under customer analytics used to group customers or products with similar characteristics into meaningful segments. The process allows companies to target customers better and serve them in a more fitting manner. Organizations can segment customers based on various traits – demography, age, frequency of product use, or even other factors […] The post Customer segmentation and its importance appeared first on Aryng's Blog.

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Differences Between Data Lake and Data Warehouses

TDAN

Data lake is a newer IT term created for a new category of data store. But just what is a data lake? According to IBM, “a data lake is a storage repository that holds an enormous amount of raw or refined data in native format until it is accessed.” That makes sense. I think the […].

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Alation Launches Data Governance App and Supporting Service Offering

Alation

Contributed by Matt Sullivant and Kartik Hansen. The importance of data governance is growing. Here at Alation, we’ve seen the demand for new robust governance capabilities skyrocket in the past year. To meet that demand, we’re excited to announce a new application and concomitant service offering, which together empower business leaders to lead governance efforts with clarity and confidence.

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Your Next Data Skill is Stakeholder Empathy

TDAN

The role of data people is often to interpret and communicate information. This can mean taking raw data and cleaning it, or using data to create a dashboard, or creating an algorithm to inform business decisions. In all these scenarios, we are being asked to take data and transform it into a different form for […].

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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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Opening Up the Future of Financial Business with Digitalization

Teradata

Learn what Mitsui Sumitomo Insurance, one of Japan’s leading insurance and finance groups, has achieved through leveraging the power of data analytics.

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Data Modeling for Quality

TDAN

In this article, I describe a method of modelling data so that it meets business requirements. Central to this method is that modelling not only the required data, but also the subset of the real world that concerns the enterprise. This distinction has long been a subject of discussion in the data modelling world: the […].

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Integrating Frame with Splunk using Frame Admin API

Nutanix

The Nutanix Frame™ Platform records session and audit log information on what actions users and administrators are doing in the Frame Desktop-as-a-Service (DaaS). This session and audit log information is available for download from the Frame Console.

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Advancing AI Cloud with Release 7.2

DataRobot

As we see from countless examples, the demand for AI is at a fever pitch across every industry. Becoming AI-driven is no longer really optional. As AI continues to advance at such an aggressive pace, solutions built on machine learning are quickly becoming the new norm. To meet the demands of the modern world, we have to experiment fast, collaborate effectively, and drive positive value for organizations and individuals everywhere.

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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.

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5 Reasons NOT to Attend.NEXT 2021

Nutanix

For the second year in a row,NEXT is going digital! And by now, you’ve probably heard all the reasons you should attend THE cloud conference of the year.

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Meet Sudhir Menon, Ram Venkatesh and Paul Codding – Champions of the Cloudera Hybrid Data Cloud

Cloudera

In June, we announced the beginning of a new chapter for Cloudera, with a mission to make data and analytics easy and accessible, for everyone. With transformation comes change, and today I’m thrilled to announce the promotion of Sudhir “Suds” Menon, Ram Venkatesh and Paul Codding, three leaders driving our mission forward. The foundation of our mission is a move to a hybrid data cloud platform , an evolution of our Cloudera Data Platform , a hybrid and multi-cloud solution purpose-built with th

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Delivering the Next Generation of AI with DataRobot AI Cloud

DataRobot

AI is a generation-defining technology with the potential to reshape every industry , every business service, every customer interaction. . But too often and for far too many, the reality is much more challenging. Siloed teams, disconnected tools, the complexity of deploying across distributed clouds, immature operations, all combine to extend deployment timelines, diminish business impact and increase risk to sensitive data and business operations.

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Creating a Community through Graphs

Depict Data Studio

Maddison Staszkiewicz is a Depict Data Studio student and evaluator. She was part of the 2020 Great Graphs: Excel How-To’s cohort and is sharing her experiences with us. Thanks Maddison! –Ann. —– I was ecstatic to register for the Great Graphs: Excel How-To’s course and transform my graphs using Excel instead of online data visualization software.

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The Big Payoff of Application Analytics

Outdated or absent analytics won’t cut it in today’s data-driven applications – not for your end users, your development team, or your business. That’s what drove the five companies in this e-book to change their approach to analytics. Download this e-book to learn about the unique problems each company faced and how they achieved huge returns beyond expectation by embedding analytics into applications.

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LinkedIn Live: Introducing AI Cloud

DataRobot

We recently announced the launch of our AI Cloud Platform , a new approach built for the demands, challenges, and opportunities of AI today. AI Cloud brings organizations a unified environment across multiple clouds and data sources into a single, secure system of record. This accelerates the delivery of AI to production for every organization. To celebrate our launch, we went live on LinkedIn with our AI Evangelists to talk about the challenges in the market today that led us to the development

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Introducing the DataRobot AI Cloud: A Closer Look

DataRobot

Since I joined DataRobot nearly two years ago, I’ve been fortunate to spend much of my time meeting with and learning from our users and customers. Time and time again, we hear about the need for AI to support cross-functional teams and users. To provide the ability to integrate diverse data sources. To offer the flexibility to deploy AI solutions anywhere.