April, 2021

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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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Rethinking data management for faster time to value

CIO Business Intelligence

As enterprises move ahead in their digital transformation journey, the massive trail of data from digital transactions is growing steadily, but for many organizations extracting intelligence from data remains a pipe dream.

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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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Your Guide To Modern Agency Analytics, Dashboards & Reporting Techniques

datapine

With the exponential growth of digital businesses, so has grown the need to outsource some key processes to digital agencies. Although this is positive for the many types of agencies in the market, it has also left them facing a big challenge. With more potential clients on the lookout, agencies need to stand out from the rest with top-quality services and unique features that will make them irreplaceable for their clients.

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DataOps Enables Your Data Fabric

DataKitchen

Industry analysts who follow the data and analytics industry tell DataKitchen that they are receiving inquiries about “data fabrics” from enterprise clients on a near-daily basis. Forrester relates that out of 25,000 reports published by the firm last year, the report on data fabrics and DataOps ranked in the top ten for downloads in 2020. Gartner included data fabrics in their top ten trends for data and analytics in 2019.

More Trending

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3 Top Email Security Practices to Prevent a Data Breach

Smart Data Collective

Cyber-attacks have emerged as a big threat to the world. The World Economic Forum has included cyber-attacks and data breaches in the list of top global risks in 2020. The problems associated with data breaches cannot possibly be overstated. The average data breach cost $3.86 million and that figure could rise even further in the future. While a cyber-attack can take a toll on anyone, it is particularly threatening for business enterprises.

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Data Professionals are Dissatisfied with their Company’s Use of Analytics

Business Over Broadway

I recently reached out to data professionals on LinkedIn to ask a series of questions about their work. Results from one of those polls revealed that data professionals are generally dissatisfied with their company’s use of analytics in helping it gain a competitive advantage; nearly 6 in 10 data professionals said they were dissatisfied with their company’s use of analytics (22% extremely dissatisfied).

Analytics 139
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Process Mining: Improve Execution and Operations with Analytics

David Menninger's Analyst Perspectives

Process-mining software isn’t exactly new, but it’s also not widely known in the software technology market. The discipline has been around for at least a decade, but is generating more interest these days with both specialist vendors and major enterprise software vendors offering process-mining products and services. We assert that through 2022, 1 in 4 organizations will look to streamline their operations by exploring process mining.

Analytics 257
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How to Visualize Qualitative Data with Colored Phrases

Depict Data Studio

Wondering how to visualize your qualitative data? Maybe you’ve got open-ended survey responses, focus group notes, or speech transcripts. Qualitative data visualization can bring our words and phrases to life. My friend Jon Schwabish from PolicyViz asked me to partner on his One Chart at a Time project, in which we’re helping you get better-acquainted with common and not-so-common chart types.

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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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10 Upcoming Data Science Platforms for Massive Disruption

DataKitchen

The post 10 Upcoming Data Science Platforms for Massive Disruption first appeared on DataKitchen.

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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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The Incredible Impact of Blockchain Technology on the Economy

Smart Data Collective

The crypto market is booming once again. After a 2-year long bear market, prices are skyrocketing far and wide, with Bitcoin leading the charge. In November, Investopedia reported that prices of bitcoin rose 111% and they seem to be increasing even further. Bitcoin has tripled in value since it raced past its previous all-time high of $20.000. This has pushed investors, retail and institutional, into a buying frenzy.

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Keys to Data Fluency: Less Data, More Insights

Juice Analytics

The most common mistake in ineffective data products is an inability to make difficult decisions about what information is most important. Amanda Cox of The New York Times graphics department summed up this problem perfectly: “Data isn’t like your kids—you don’t have to pretend to love them equally.” — Amanda Cox, New York Times Design Group. Photo: Unsplash - Etienne Girardet.

Metrics 133
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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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Dataiku Streamlines AI/ML

David Menninger's Analyst Perspectives

Organizations are becoming more and more data-driven and are looking for ways to accelerate the usage of artificial intelligence and machine learning (AI/ML). Developing and deploying AI/ML models can be complicated in many ways, often involving different tools and services to manage these solutions from end to end. Accessing and preparing data is the most common challenge organizations face in this process, and consequently, AI/ML vendors typically incorporate tools to address this part of the

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Post-Pandemic Enterprise Architecture Priorities

erwin

Before the COVID-19 pandemic, many enterprise architects were focused on standardization. Identifying and putting into practice standard approaches to deploying systems, from the IT infrastructure and network protocols to the integration with other components, decreases the time to market for businesses and increases efficiency. In a world where agility and innovation are highly valued, speed is a critical factor for success.COVID-19 forced many businesses to radically change their business mode

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DevOps and agile still hindered by enterprise silos, inertia

DataKitchen

The post DevOps and agile still hindered by enterprise silos, inertia first appeared on DataKitchen.

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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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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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4 Industries Benefiting from Data-Driven Mobile App Development

Smart Data Collective

As technology continues to evolve, industry leaders are paving the way by using new and emerging capabilities to their advantage. For instance, mobile app development has been an important feature of the last decade. As users demand more intuitive apps and mobile friendly websites from goods and services providers, how are key industries benefiting?

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The Insights Beat: Renew Your Insights-Driven Aspirations This Year

Srividya Sridharan

After a brief hiatus, the Insights Beat blog series is back, where I will continue to feature and curate the latest research and thought leadership from our business insights, data, analytics and AI research team. It’s been a fast start to the year and there is so much amazing research that the team has published […].

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Informatica Continues to Evolve Data Management Platform

David Menninger's Analyst Perspectives

Organizations are accelerating their digital transformation and looking for innovative ways to engage with customers in this new digital era of data management. The goal is to understand how to manage the growing volume of data in real time, across all sources and platforms, and use it to inform, streamline and transform internal operations. Over the years, the adoption of cloud computing has gained momentum with more and more organizations trying to make use of applications, data, analytics and

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Data Governance Maturity and Tracking Progress

erwin

Data governance is best defined as the strategic, ongoing and collaborative processes involved in managing data’s access, availability, usability, quality and security in line with established internal policies and relevant data regulations. erwin recently hosted the third in its six-part webinar series on the practice of data governance and how to proactively deal with its complexities.

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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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Keys to Data Fluency: New Decision-Making Behaviors

Juice Analytics

How do you know that your organization is becoming more data fluent? You’ll see new behaviors such as the language people use, the things they focus on, and the way meetings are run. Data analysis and key performance measures are elevated from after-thought to starting-point. Here are five behaviors that you should start to expect from your team as your data fluency matures: Everyone Knows the Key Metrics — and Debates Them Data fluent organizations have a common understanding of how progress is

Metrics 122
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Top 8 Hidden Python Packages For Machine Learning in 2021

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Introduction Python is one of the most loved languages in. The post Top 8 Hidden Python Packages For Machine Learning in 2021 appeared first on Analytics Vidhya.

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Business Intelligence for Fairs, Congresses and Exhibitions

Smart Data Collective

For most entrepreneurs, the best way to make money is to find ways to work smarter and not harder. While different companies, regardless of their size, have different operational processes, they share a common need for actionable insight to drive success in their business. Advancement in big data technology has made the world of business even more competitive.

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Using Data Privacy to Introduce AI Regulation: The Canadian Bet

Dataiku

As with all other key aspects of the economy, the global health crisis we are going through is having a deep impact on AI developments in organizations. In an environment compatible with remote work, COVID-19 acts as a catalyst for reinforced data usage: many companies need to develop a strong data-supported understanding of the new normal — and react accordingly.

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Addressing Top Enterprise Challenges in Generative AI with DataRobot

The buzz around generative AI shows no sign of abating in the foreseeable future. Enterprise interest in the technology is high, and the market is expected to gain momentum as organizations move from prototypes to actual project deployments. Ultimately, the market will demand an extensive ecosystem, and tools will need to streamline data and model utilization and management across multiple environments.

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The Value Index for Analytics and Data Classifies and Rates Vendors

David Menninger's Analyst Perspectives

I am happy to share insights gleaned from our latest Value Index research, an assessment of how well vendors’ offerings meet buyers’ requirements. The Ventana Research Value Index: Analytics and Data 2021 is the distillation of a year of market and product research by Ventana Research. Drawing on our Benchmark Research, we apply a structured methodology built on evaluation categories that reflect the real-world criteria incorporated in a request for proposal to analytics and data vendors support

Analytics 184
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Migrating Data to the Cloud: Things You Need to Know

Alation

Modern businesses have their heads in the clouds… not that they’re daydreaming. The pandemic has caused a major shift to work-from-home culture. The cloud supports this new workforce, connecting remote workers to vital data, no matter their location. Today, enterprises are migrating to the cloud at a brisk pace. But why migrate at all? How do you migrate?

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9 Habits of Data Fluent Organizations — and How to Learn Them

Juice Analytics

With our book , resources and workshops, we’ve shared guidance about what it takes to become a data fluent organization. Most of all, it starts with cultural habits that get people focused on using data in their decision-making. At Juice, we are working everyday to create these habits and we wanted to share how we are building a data-first mindset and where we look for inspiration.

Metrics 119
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The Easiest Way To Deploy Machine Learning Models: PyWebIO

Analytics Vidhya

ArticleVideo Book This article was published as a part of the Data Science Blogathon. Creating a machine learning model is a wholesome process involving. The post The Easiest Way To Deploy Machine Learning Models: PyWebIO appeared first on Analytics Vidhya.

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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.