Sat.May 08, 2021 - Fri.May 14, 2021

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Is there any need of Deep Learning?

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Humans should be worried about the threat posed by artificial intelligence. The post Is there any need of Deep Learning? appeared first on Analytics Vidhya.

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Strategies on Implementing a Data Catalog

Alation

Why Implement a Data Catalog? In a word: insight. Nowadays, businesses have more data than they know what to do with. Cutting-edge enterprises use their data to glean insights, make decisions, and drive value. In other words, they have a system in place for a data-driven strategy. But let’s rewind: how do you know you need a data catalog in the first place?

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Why Your Data Lake Needs Bad Data

David Menninger's Analyst Perspectives

Everyone talks about data quality, as they should. Our research shows that improving the quality of information is the top benefit of data preparation activities. Data quality efforts are focused on clean data. Yes, clean data is important. but so is bad data. To be more accurate, the original data as recorded by an organization’s various devices and systems is important.

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Forrester – Chart Your Course To Insights-Driven Business Maturity

DataKitchen

As organizations strive to become more data-driven, Forrester recommends 5 actions to take to move from one stage of insights-driven business maturity to another. . After establishing a solid strategy, the second phase involves planning key processes and practices to support the strategy, including “the emerging and increasingly important DataOps and ModelOps processes and methodologies.”.

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From Developer Experience to Product Experience: How a Shared Focus Fuels Product Success

Speaker: Anne Steiner and David Laribee

As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.

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Bar Chart Race of World Population by 2020 in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Machine Learning is the trending digital technology in today’s world, The post Bar Chart Race of World Population by 2020 in Python appeared first on Analytics Vidhya.

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Removing “Analysis Paralysis” From Team Sessions

BA Learnings

For many teams, careful planning and data-driven examination of the challenges they face are paramount to success. There is power in information and analytics, but its potency can be a double-edged sword, especially if you’re prone to analysis paralysis. This phenomenon is a form of information overload — when the group starts to overanalyze data and overthink solutions to their problem.

More Trending

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DataKitchen’s Chris Bergh Reveals the Steps for Enterprise DataOps Success at Data Summit Connect 2021

DataKitchen

The post DataKitchen’s Chris Bergh Reveals the Steps for Enterprise DataOps Success at Data Summit Connect 2021 first appeared on DataKitchen.

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Top 20 Conceptual Questions To Test Your Data Science Skills In 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In this article, I have curated a list of 20. The post Top 20 Conceptual Questions To Test Your Data Science Skills In 2021 appeared first on Analytics Vidhya.

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Understanding the Growing Pushback Against Advertisers Collecting Data

Smart Data Collective

Advertisers have been collecting data for a long time now. This is something most online users knew but didn’t pay much attention to, but that’s starting to change. More people are starting to feel uneasy about large tech companies having so much control over their data. This feeling is fueling the growing pushback against advertisers collecting personal data.

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5 Factors to Consider When Choosing a Stream Processing Engine

Cloudera

Are you using the right stream processing engine for the job at hand? You might think you are—and you very well might be!—but have you really examined the stream processing engines out there in a side-by-side comparison to make sure? Our Choose the Right Stream Processing Engine for Your Data Needs whitepaper makes those comparisons for you, so you can quickly and confidently determine which engine best meets your key business requirements.

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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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DataRobot Flies Higher with Zepl Acquisition, Adding Cloud Native Notebook Solution to AI Platform

DataRobot

At DataRobot, we believe in 10x-ing our efforts: returns for our customers, professional development of our team, and our platform. Today’s acquisition of Zepl does exactly that. It 10x’s our world-class AI platform by dramatically increasing the flexibility of DataRobot for data scientists who love to code and share their expertise across teams of all skill levels.

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Data Validation in Machine Learning is imperative, not optional

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Operationalizing a Machine Learning (ML) model in production needs. The post Data Validation in Machine Learning is imperative, not optional appeared first on Analytics Vidhya.

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Lack of Time for Analysis, Adoption of New Technology and Data Limitations are Top Challenges Facing Finance Teams, According to insightsoftware Survey

Jet Global

Less than half (46%) of financial executives say they are able to fully execute their responsibilities with “manual, time-consuming processes” listed by 49% of respondents as the primary obstacle. RALEIGH, N.C. – May 11, 2021 – In the early days of the pandemic, cash flow management took center stage for many businesses and risk management continues to be a priority this year as business leaders depend more than ever on finance teams for decision-making support.

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cdpcurl: Low-Level CDP API Access

Cloudera

Cloudera Data Platform (CDP) provides an API that enables you to access CDP functionality from a script, or to integrate CDP features with an application. In practice you can use the CDP API to script repetitive tasks, manage CDP resources, or even create custom applications. You can learn more about the API in its official documentation. There are multiple ways to access the API, including through a dedicated CLI , through a Java SDK , and through a low-level tool called cdpcurl. cdpcurl is des

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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 Importance of Data Analytics with IPTV Middleware CMS

Smart Data Collective

There are a lot of applications of data analytics in the modern workplace. There are a lot of benefits, particularly when it comes to CMS technology. Having good IPTV middleware (CMS) is crucial for anyone offering an IPTV or OTT platform, service, or any other kind of business or system that streams content. Your IPTV middleware is the go-between for the operator’s service or software provider and the client.

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StyleGAN Explained in Less Than Five Minutes

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. About: StyleGAN Generative Adversarial Networks (GAN) are a somewhat new. The post StyleGAN Explained in Less Than Five Minutes appeared first on Analytics Vidhya.

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Top 10 ERP Thought Leaders to Follow in 2021

Jet Global

This guide updates our ERP thought-leadership rankings for 2021. Rankings are based on these ERP thought leaders’ social media presence and the frequency at which they publish. These rankings highlight the thinkers with the biggest impact on the present and future of ERP by analyzing who is speaking the loudest to the largest audience. This year, our list has some new entrants, along with some changes in rankings for previous top-ten leaders.

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How to Engage Your Audience with “Choose Your Own Adventure” Presentations

Depict Data Studio

Ready for an advanced presentation technique? Want to make sure your audience is engaged? No, those 10-minute Q&As at the end of a presentation don’t count as adequate engagement. Let’s notch up our engagement! In this blog post, you’ll learn about the “Choose Your Own Adventure” method for engaging our audiences during presentations. In March 2021, I was speaking at the Nonprofit Technology Network ’s conference, 21NTC , and I used this technique.

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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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7 Key Industries Being Transformed by Data Savvy Virtual Agents

Smart Data Collective

There are a number of new fields that have opened up due to recent advances in big data. Big data has played a huge role in the evolution of business development. One field that has emerged as a result of new developments in big data technology is the virtual agent. Intelligent virtual agents (IVAs) are attractive to businesses in dozens of industries thanks to their convenience and their AI capabilities.

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Data Science Use Cases in Retail Industry

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction “Knowledge is power in business, and data is the fuel. The post Data Science Use Cases in Retail Industry appeared first on Analytics Vidhya.

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Integrating SQL and NoSQL into Data Modeling for Greater Business Value: The Latest Release of erwin Data Modeler

erwin

Due to the prevalence of internal and external market disruptors, many organizations are aligning their digital transformation and cloud migration efforts with other strategic requirements (e.g., compliance with the General Data Protection Regulation). Accelerating the retrieval and analysis of data —so much of it unstructured—is vital to becoming a data-driven business that can effectively respond in real time to customers, partners, suppliers and other parties, and profit from these efforts.

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Interview with SourceForge: Bringing Data-driven Decisions to a Broad Audience

Juice Analytics

I recently spoke with the team at SourceForge , a leading platform for the distribution and discovery of software solutions. The interview ended up summarizing our journey as a company to transform how people communicate with data. Here’s the transcript: SourceForge: You have said that the challenges faced by the analytics industry are more social than technical.

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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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Announcing the 2021 Data Impact Awards

Cloudera

2020 saw us hosting our first ever fully digital Data Impact Awards ceremony, and it certainly was one of the highlights of our year. We saw a record number of entries and incredible examples of how customers were using Cloudera’s platform and services to unlock the power of data. Each year, taking a moment to celebrate successes provides us with a wonderful opportunity to reflect on the incredible work we do together.

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13 Most Important Pandas Functions for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most widely used language. The post 13 Most Important Pandas Functions for Data Science appeared first on Analytics Vidhya.

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The Janusian conflict between the CISO and the DPO

Jen Stirrup

Data and data handling are becoming a visible part of corporate and everyday life, receiving more Board airtime and public attention than ever before and increasing pressure on businesses to take data protection seriously. For example, a two-year-long ICO investigation showed significant data protection failures resulted in an enforcement action being issued against Experian.

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Checklist to Follow When Hiring and Managing Data Scientists

Smart Data Collective

Big data has changed the nature of modern business in tremendous ways. As a result, a growing number of companies have started hiring data scientists to handle many of the different functions that they need to oversee. Companies have to take a number of things into consideration when hiring and managing data scientists. A lot of the same principles apply as with managing and onboarding other employees.

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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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Beyond Resilience-The Next Generation of Supply Chain

Teradata

After the shock of COVID exposed the brittle nature of many global supply chains, focus has shifted to resilience, a necessary consideration but not the only one.

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Complete Guide on Encoding Numerical Features in Machine Learning

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction In Machine learning projects, we have features that could. The post Complete Guide on Encoding Numerical Features in Machine Learning appeared first on Analytics Vidhya.

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AI Experience Worldwide: Highlights, Reflections, and a Call to Action

DataRobot

We just wrapped DataRobot’s latest AI Experience Worldwide. It was great to learn the many ways our customers are finding success with AI and share our expertise with you. There’s a lot to unpack, but first, I want to thank everyone—from our guest speakers to event planners to the technical team—who pulled together to make this event an incredible success.

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AI-Ready Architecture in the Cloud

Dataiku

Our tagline at Dataiku since mid-2018 has been “Your Path to Enterprise AI,” which underscores the importance that every company has its own unique journey to take in order to leverage AI in the enterprise. Architecture is no exception to this rule, as Dataiku enables organizations to accelerate AI transformation wherever they are (such as on-premise, hybrid cloud, or full cloud).

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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.