Sat.Apr 17, 2021 - Fri.Apr 23, 2021

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Machine Learning Basics For Data Science Enthusiasts

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Introduction to Machine Learning Basics Need of Machine Learning. The post Machine Learning Basics For Data Science Enthusiasts appeared first on Analytics Vidhya.

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The battle to combat data sprawl: what CIOs need to do now

DataKitchen

The post The battle to combat data sprawl: what CIOs need to do now first appeared on DataKitchen.

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AI Adoption in the Enterprise 2021

O'Reilly on Data

During the first weeks of February, we asked recipients of our Data & AI Newsletter to participate in a survey on AI adoption in the enterprise. We were interested in answering two questions. First, we wanted to understand how the use of AI grew in the past year. We were also interested in the practice of AI: how developers work, what techniques and tools they use, what their concerns are, and what development practices are in place.

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Incorta Streamlines Analytics with Direct Data Access

David Menninger's Analyst Perspectives

The amount of data flowing into organizations is growing exponentially, creating a need to process more data more quickly than ever before. Our Data Preparation Benchmark Research shows that accessing and preparing data continues to be the most time-consuming part of making data available for analysis. This can potentially slow down the organizational functions which depend on the analysis results.

Analytics 309
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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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Statistics and Probability Concepts for Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Statistics is the grammar of Science. – Karl Pearson What. The post Statistics and Probability Concepts for Data Science appeared first on Analytics Vidhya.

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Risks and Necessary Precautions Regarding Employee Data Leaks

Smart Data Collective

The need to protect data is one that most companies are more than aware of. However, many businesses operate under the misconception that any potential threats or breaches are being conducted externally. Employee negligence is a very costly cause of data leaks. The average cost of a data record compromised by a careless employee is $160. Around 66% of all data leaks are caused by employees making mistakes with digital records.

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Lessons in Data Storytelling: Relatable and Specific

Juice Analytics

Data & Reality Data is an abstract representation of reality. We take real things, processes, and actions and turn them into numbers. This is useful for analysis. However, it creates a conceptual disconnect from the reality you are interested in explaining. Take these numbers for example: 56,000 people. 840,000 square miles. Those are the population and size of Greenland.

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Beginners Guide to Threading in Python

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Threading in Python- Make your code smarter Python is cool. The post Beginners Guide to Threading in Python appeared first on Analytics Vidhya.

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Big Data Becomes Pivotal to the Construction Industry

Smart Data Collective

When you think about tech innovation, the construction sector probably doesn’t come to mind immediately. There’s a reason for that, as the industry has been hesitant to adopt new technologies for decades. That’s starting to change, though, and construction firms everywhere are embracing innovations like big data. Construction’s new interest in technology comes from necessity.

Big Data 106
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Relationship intelligence will shape the workplace of the future

Cloudera

Our latest Influential Women in Data session featured Brenda Le Sueur from Cambridge Assessments. Brenda has worked across many organisations and continents, but what has always been crucial to her is relationships – how we cultivate them, how we nurture them and how they, in turn, define us. I sat down with Brenda to ask her about her journey as a woman in tech and understand more about the impact of relationships on our career.

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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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What Does Your Netflix Data Say About You? Meet Sofiane, Head of Sales Engineering!

Dataiku

Ever wanted to know more about the people behind your favorite Enterprise AI platform? You're in luck — every few weeks, meet one of the humans at Dataiku working every day to ensure customers and users find success on their path to Enterprise AI. This week, we met with Sofiane Fessi, Head of Sales Engineering, Central Europe and assigned a very special data project to him!

Sales 105
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You Cannot Miss These 8 Python Libraries

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Python is an all-time favorite language for beginners and aspiring. The post You Cannot Miss These 8 Python Libraries appeared first on Analytics Vidhya.

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All in the Data: Elements of a Data Strategy

TDAN

I published an article a few months back that was titled Where Does Data Governance Fit in a Data Strategy (and other important questions). In the article, I quickly outlined seven primary elements of a data strategy as an answer to one of the “other important questions.” The list of elements I used in that […].

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PODCAST: Unlocking the Value of AI in Supply Chain

bridgei2i

PODCAST: Unlocking the Value of AI in Supply Chain. Listening time: 25 minutes. Unlocking the Value of AI in Supply Chain. Arun Krishnamoorthy – VP, Supply chain Practice – BRIDGEi2i engages in discussion with Innovation Evangelist and the Global VP of SAP Labs, Tom Raftery, on the Digital Supply Chain Podcast. Arun takes us down memory lane as he explains tech’s evolution in supply chains over the past decades.

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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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Controlling Data Quality: Tips and Tools

Dataiku

Only 8% of CDOs are content with the quality of data at their disposal. Data needs to be valuable, thus of high quality , to drive machine learning model success. In a recent Egg On Air Episode , Jeff McMillan, Chief Analytics and Data Officer for Morgan Stanley Wealth Management, outlined the significance of data quality to an organization’s success and offered some insight on how Morgan Stanley approaches data quality.

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Beginners Guide to Automation in Data Science

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction The field of Data Science is growing by leaps and. The post Beginners Guide to Automation in Data Science appeared first on Analytics Vidhya.

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What is Streaming Analytics?

Cloudera

What is Streaming Analytics? Streaming Analytics is a type of data analysis that processes data streams for real-time analytics. It continuously processes data from multiple streams and performs simple calculations to complex event processing for delivering sophisticated use cases. The primary purpose is to present the most up-to-date operational events for the user to stay on top of the business needs and take action as changes happen in real-time.

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Study: Most Executives Consider Big Data Crucial but Lack Strategies

Smart Data Collective

Big data is having a tremendous impact on the future of modern business. Many business owners recognize its benefits, but fail to invest in it appropriately. Harvard Business Review Analytic Services recently published The State of Digital Adoption report on big data adoption in business, and its findings may surprise or even alarm many organizations and institutions.

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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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Power BI Data Modeling Sessions

Paul Turley

This is going to be a very busy week for presentations with five sessions schedule on the topic of data modeling! Data modeling is the heart and foundation of a useful Power BI solution. If you can get the data model right, most everything else falls into place.

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Bring DevOps To Data Science With MLOps

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. MLOps is the intersection of Machine Learning, DevOps and Data. The post Bring DevOps To Data Science With MLOps appeared first on Analytics Vidhya.

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Deep Learning with Nvidia GPUs in Cloudera Machine Learning

Cloudera

Introduction. In our previous blog post in this series , we explored the benefits of using GPUs for data science workflows, and demonstrated how to set up sessions in Cloudera Machine Learning (CML) to access NVIDIA GPUs for accelerating Machine Learning Projects. While the time-saving potential of using GPUs for complex and large tasks is massive, setting up these environments and tasks such as wrangling NVIDIA drivers, managing CUDA versions and deploying custom engines for your specific proje

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Understanding the Tremendous Benefits of IoT for Small Businesses

Smart Data Collective

IoT has evolved the technology and made many devices easier to control with actions such as voice commands or claps. Now, to find out how IoT has contributed in the culture of small businesses, let’s have a read! The Internet of Things (IoT) refers to the technology that has made wireless communication possible. The IoT refers to a network that connects devices and makes the data transfer task possible even without the usage of wires.

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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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Building a Data Governance Business Case

TDAN

When it comes to executing a data governance strategy, there is no standard approach. Of course, there are common methods and tools, but it’s up to each company to decide how best to implement data governance initiatives to achieve the optimum business value, and who is best placed to take the lead. Some business leaders […].

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Mastering Exploratory Data Analysis(EDA) For Data Science Enthusiasts

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Overview Step by Step approach to Perform EDA Resources Like. The post Mastering Exploratory Data Analysis(EDA) For Data Science Enthusiasts appeared first on Analytics Vidhya.

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HDFS Data Encryption at Rest on Cloudera Data Platform

Cloudera

Introduction: Encryption of Data at Rest is a highly desirable or sometimes mandatory requirement for data platforms in a range of industry verticals including HealthCare, Financial & Government organizations. The capability increases security and protects sensitive data from various kinds of attack that could be internal or external to the platform.

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3 Ways You Can Use Software to Improve Your Trading Decisions

Smart Data Collective

Trading is an exciting and often lucrative way of making money in the stock markets. Those with the requisite skillset can profit from price fluctuations with little more than their laptop and an internet connection. With that said, there is now a myriad of software and trading tools available to help you better evaluate patterns in trading data and spot profitable set-ups with ease.

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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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Mission Possible: How to Get Started With Dataiku in 1 Hour

Dataiku

Learning how to use a new software or product from scratch is no easy task, especially in the complex and ever-changing world of data and AI, and oftentimes the very first steps are the most challenging.

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Beginners Guide to Explanatory Data Analysis

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction As we all know there are certain processes to. The post Beginners Guide to Explanatory Data Analysis appeared first on Analytics Vidhya.

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The Intersection of Climate and Capital Markets

Cloudera

Happy Earth Day! Earth Day was introduced in 1970 and has celebrated various milestone achievements including expanding globally and leveraging the power of social media to expand climate awareness and action. A great summary and history can be found on earthday.org/history. For those in financial services, climate initiatives are another major market event with far-reaching impact on capital adequacy and compliance regulations.

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How is Mobile Intelligence Reshaping the Marketing Industry?

Smart Data Collective

Why mobile apps are now invincible parts and parcels of digital marketing strategy for brands worldwide, artificial intelligence (AI) continues to make unprecedented valuable contributions to help brands achieve their goals. The power of AI-powered mobile apps in digital marketing seems to have a far-reaching impact. AI as technology continues to evolve and get better along with mobile apps.

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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.