Sat.Sep 05, 2020 - Fri.Sep 11, 2020

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Come For The Insight, Stay For The Impact

Srividya Sridharan

Get an overview of the tracks and sessions at the upcoming Forrester Data Strategy & Insights live virtual event.

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How to Learn SQL

DataCamp

Here’s a comprehensive guide on how to go from a SQL beginner to a seasoned pro.

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Busted! 11 Data Science Myths You Should Avoid at All Costs

Analytics Vidhya

In this article, we bust 11 common myths people have about data science. We have divided the myths into career, tools and role related categories. The post Busted! 11 Data Science Myths You Should Avoid at All Costs appeared first on Analytics Vidhya.

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Pair Programming with AI

O'Reilly on Data

In a conversation with Kevlin Henney, we started talking about the kinds of user interfaces that might work for AI-assisted programming. This is a significant problem: neither of us were aware of any significant work on user interfaces that support collaboration. Most AI systems we’ve seen envision AI as an oracle: you give it the input, it pops out the answer.

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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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The Most Complete Guide to PyTorch for Data Scientists

MLWhiz

PyTorch has sort of became one of the de facto standards for creating Neural Networks now, and I love its interface. Yet, it is somehow a little difficult for beginners to get a hold of. I remember picking PyTorch up only after some extensive experimentation a couple of years back. To tell you the truth, it took me a lot of time to pick it up but am I glad that I moved from Keras to PyTorch.

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Why You Need End-to-End Data Lineage

erwin

Not Documenting End-to-End Data Lineage Is Risky Busines – Understanding your data’s origins is key to successful data governance. Not everyone understands what end-to-end data lineage is or why it is important. In a previous blog , I explained that data lineage is basically the history of data, including a data set’s origin, characteristics, quality and movement over time.

More Trending

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5 Ways AI Technology Is Changing The Future Of Human Society

Smart Data Collective

From intelligent machines and automated cars to genetic modification and 3D printing, there’s a significant technological power shift everywhere at a rapid pace. Remarkable waves of technological solutions like Artificial Intelligence are driving the 4th industrial revolution that is redefining the norms between people, the web and the real world.

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Why models fail to deliver value and what you can do about it.

Domino Data Lab

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant. Yet despite all this hard work, few models ever make it into production (VentureBeat AI concluded that just 13% of data science projects make it into production) and in terms of delivering value to the business, Gartner predicts that only 20% of

Modeling 101
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The Forrester Wave Pegs Dataiku a Leader

Dataiku

Though we haven't been immune to the events of 2020, here at Dataiku, we're very fortunate to have an agile team that has been able to adapt to new circumstances as well as a product whose value has proven integral to organizations’ own recovery from this crisis. That's why we're proud to announce that hot on the heels of our $100 million Series D investment round as well as the release of Dataiku 8 , this week, Dataiku has been named a Leader in the The Forrester Wave™: Multimodal Predictive An

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Starting your First Data Science Project? Here are 10 Things You Must Absolutely Know

Analytics Vidhya

Introduction Can you imagine navigating through a city without Google Maps? It feels like an alien concept! We have no sense of direction and. The post Starting your First Data Science Project? Here are 10 Things You Must Absolutely Know appeared first on Analytics Vidhya.

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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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6 Ingenious Data-Driven Marketing Ideas for CBD Brands

Smart Data Collective

We recently talked about the incredible benefits of using AI in the CBD industry. We thought it might be good to delve into the topic in greater detail. You can see how big data and AI are being utilized by the most astute CBD marketers. When you evaluate the many different businesses and industries in the world today, some are flourishing more than others.

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Responding to Changing Tax Regimes Amid COVID-19 Fallout

Jet Global

The COVID-19 pandemic has underscored the need for tax teams to be more proactive in their activities, as well as more strategic in their analysis and the guidance they provide to their organizations. Governments around the world are actively shifting and updating tax-related policies and regulations to address various ongoing challenges stemming from the pandemic.

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Cloudera Named Leader in The Forrester Wave: Notebook-Based Predictive Analytics and Machine Learning, Q3 2020

Cloudera

Cloudera has been named a Leader in The Forrester Wave : Notebook-Based Predictive Analytics and Machine Learning, Q3 2020. At Cloudera, we are committed to always staying at the forefront of data and analytics innovation — enabling enterprises to more optimally work with data to deliver analytic results across the business quickly and securely. For enterprise machine learning teams, this means having the right platform, tools, and processes that streamline end-to-end ML to tackle once-impossibl

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Start Using The timeit Library in Python!

Analytics Vidhya

Introduction The purpose of this article is to introduce us to the timeit library. Suppose you want to measure the execution time of a. The post Start Using The timeit Library in Python! appeared first on Analytics Vidhya.

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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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5 Powerful Networking Technologies That Are Disrupted By AI

Smart Data Collective

Artificial intelligence is changing the Internet in ways we never expected. Savvy technology evangelists recognize the importance of AI in the 21 st Century, especially as Internet technology continues to evolve. AI is especially important in shaping the future of networking. An article in CISCOMAG talks about the benefits of using AI in improving network security.

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Building Your Own Signal Detection Rules: A Data-Centric Approach to Cybersecurity (Part I)

Dataiku

As data becomes more available but also grows in size and is continuously more dense and unstructured — specifically in a context where more than just network logs are required to perform accurate anomaly detection and threat intelligence — the cybersecurity industry is aiming to introduce more automation into the process to provide security experts with actionable information for identifying patterns, threats, attackers, and more.

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Covid-19 Accelerates The Need for Retail, Manufacturing Supply Chains To Adapt

Cloudera

The ongoing disruption to critical supply chains in both the manufacturing and retail space has seen businesses having to respond quickly, turning to data, analytics, and new technologies to better predict and manage ‘real-time’ business disruptions. . To find out more about how COVID-19 has impacted the manufacturing and retail industries Vijay Raja, Director of Industry & Solutions Marketing at Cloudera sat down for a round-table discussion with Michael Ger , Managing Director of Manufactu

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How to Integrate Machine Learning into Web Applications with Flask

Analytics Vidhya

We all have come across various web applications that use machine learning. For example, Netflix and YouTube use ML to personalize your experience by. The post How to Integrate Machine Learning into Web Applications with Flask appeared first on Analytics Vidhya.

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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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5 Crucial Data Driven Mobile Applications For Thriving SMEs

Smart Data Collective

Big data tools are incredibly important for the survival of modern businesses. The best companies tend to invest in the highest quality big data technology to gain a competitive advantage in their market. However, the quality of the data-driven tools that they utilize plays a huge part in establishing their competitive advantages. They need to do their due diligence and find ways to make the most of the big data technology at their disposal.

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The Cause and Effect of Supply Chain Fragility, and How to Fix It

Teradata

The fragility of your supply chain existed long before COVID-19 brought it into sharp relief. Discover the secret to true supply chain resilience.

IT 105
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The Human-Centered AI Conference, On Air

Dataiku

If there’s one thing we’ve learned in the wake of the health crisis of 2020, it’s that an organization’s ability to quickly pivot operations to keep up with the changing world dictates success. At Dataiku, our agility was put to the test when we came to the decision that, in order to ensure safety for all, we had to transition our annual in-person EGG conference series to a multi-layered virtual experience for 2020.

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How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning

Analytics Vidhya

Overview DBSCAN clustering is an underrated yet super useful clustering algorithm for unsupervised learning problems Learn how DBSCAN clustering works, why you should learn. The post How to Master the Popular DBSCAN Clustering Algorithm for Machine Learning appeared first on Analytics Vidhya.

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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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Data Analytics Play Huge Role In Optimizing Organization Management

Smart Data Collective

The number of companies utilizing data analytics has skyrocketed in recent years. In 2017, 53% of companies reported using data analytics as part of their strategy. This marks a 200% increase over a two-year period. This trend is hardly surprising. Data analytics is one of the most useful tools your business can utilize in order to quantify real-world information about its performance and efficiency.

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How Teradata Vantage with Native Object Store Decreases Costs, Increases Business Value

Teradata

The latest release of Teradata Vantage with Native Object Store enables companies to not only drive down costs by leveraging object store technologies, but also improve manageability and drive business insights with the power of Vantage.

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Our Top 20 Most-Read Data and Analytics Research Last Week (to Sep 6)

Andrew White

Click here for an interactive PDF to connect to the notes directly. Carlie Idoine scored her second “number 1” hit of the year. The note, Build a Comprehensive Ecosystem for Citizen Data Science to Drive Analytics , was originally published last year but the content is proving interesting for those clients interested in citizen data science.

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Why GPUs are more suited for Deep Learning?

Analytics Vidhya

Since the past decade, we have seen GPU coming into the picture more frequently in fields like HPC(High-Performance Computing) and the most popular field. The post Why GPUs are more suited for Deep Learning? appeared first on Analytics Vidhya.

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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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Crazy Ways Phone Analytics Are Changing The Future of Marketing

Smart Data Collective

The market for big data is projected to be worth over $229 billion by 2025, according to research from Markets and Markets. The analysis suggests that the rapid growth in utilization of big data by SMEs is driving momentum in the big data market. A large portion of this growth can further be attributed to the growing use of big data for marketing. We have previously talked extensively about big data in digital marketing.

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Building a Better Developer Documentation Portal

Sisense

Blog. Developing analytic apps is a bold new direction for product teams. The Toolbox is where we talk development best practices, tips, tricks, and success stories to help you build the future of analytics and empower your users with the insights and actions they need. The new Sisense Developer Portal doesn’t just look great, it’s also built from the ground up with developers in mind.

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How-to: Index Data from S3 Using CDP Data Hub

Cloudera

This blog post will present a simple “hello world” kind of example on how to get data that is stored in S3 indexed and served by an Apache Solr service hosted in a Data Discovery and Exploration cluster in CDP. For the curious: DDE is a pre-templeted Solr-optimized cluster deployment option in CDP, and recently released in tech preview. We will only cover AWS and S3 environments in this blog.

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How to Treat Overfitting in Convolutional Neural Networks

Analytics Vidhya

Introduction Overfitting or high variance in machine learning models occurs when the accuracy of your training dataset, the dataset used to “teach” the model, The post How to Treat Overfitting in Convolutional Neural Networks appeared first on Analytics Vidhya.

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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.