Octopai

OCTOBER 11, 2021

On a scale of 1 to 10, rate the difficulty of the following tasks: Searching for a needle in a haystack Finding an earring that fell off in the Mall of America Tracking down every appearance of a given customer’s birthdate amongst 100K+ data assets across your entire BI landscape. Haystacks and gigantic malls have NOTHING on data repositories. Use it or lose it.

Metadata 90

Metadata Data Collection Optimization IT 90

Analytics Vidhya

OCTOBER 11, 2021

This article was published as a part of the Data Science Blogathon Overview In computer science, problem-solving refers to artificial intelligence techniques, including various techniques such as forming efficient algorithms, heuristics, and performing root cause analysis to find desirable solutions. The basic crux of artificial intelligence is to solve problems just like humans.

Data Science 348

Data Science Publishing Analytics 348

Smart Data Collective

OCTOBER 11, 2021

If you enjoy working with data, or if you’re just interested in a career with a lot of potential upward trajectory, you might consider a career as a data engineer. But what exactly does a data engineer do, and how can you begin your career in this niche? What Is a Data Engineer? A data engineer’s job is to take data and transform it in a way that makes it easier or more useful to analyze.

Data mining 110

Data mining Data Science Software Machine Learning 110

Analytics Vidhya

OCTOBER 11, 2021

This article was published as a part of the Data Science Blogathon Data Visualization is important to uncover the hidden trends and patterns in the data by converting them to visuals. For visualizing any form of data, we all might have used pivot tables and charts like bar charts, histograms, pie charts, scatter plots, line charts, […]. The post Exploring Data Visualization in Altair: An Interesting Alternative to Seaborn appeared first on Analytics Vidhya.

Visualization 230

Visualization Data Science Publishing Analytics 230

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Many organizations today are unlocking the power of their data by using graph databases to feed downstream analytics, enahance visualizations, and more. Yet, when different graph nodes represent the same entity, graphs get messy. Watch this essential video with Senzing CEO Jeff Jonas on how adding entity resolution to a graph database condenses network graphs to improve analytics and save your analysts time.

Visualization

Dataiku

OCTOBER 11, 2021

It’s no secret that data malpractice and the release of confidential information have been making headlines in recent years. It seems that every few months there’s a more innovative way to hack into data, from falsifying customer metrics to interfering with election results. It’s time for this to end.

Metrics 111

Metrics IT 111

Jedox

OCTOBER 11, 2021

The role Financial Planning & Analysis plays within an organization has always been vitally important. At a recent CFO Magazine Australia event on the 'Future of Finance,' three industry professionals using Jedox shared how FP&A has supported their organizations through very challenging times.

Finance 69

Finance 69

bridgei2i

OCTOBER 11, 2021

BANGALORE, INDIA; OCTOBER 12, 2021. Accenture (NYSE: ACN) has entered into an agreement to acquire BRIDGEi2i , an artificial intelligence (AI) and analytics firm headquartered in Bangalore, India, with additional offices in the US and Australia. The acquisition will add over 800 deeply skilled professionals to Accenture’s Applied Intelligence practice, strengthening and scaling up its global capabilities in data science, machine learning and AI-powered insights.

Machine Learning 52

Machine Learning Data Science Consulting Digital Transformation 52

Teradata

OCTOBER 11, 2021

Learn why automating regulatory reporting for value is a requirement and an opportunity that today's banks must embrace.

Reporting 52

Reporting 52

DataKitchen

OCTOBER 11, 2021

A DataOps implementation project consists of three steps. First, you must understand the existing challenges of the data team, including the data architecture and end-to-end toolchain. Second, you must establish a definition of “done.” In DataOps, the definition of done includes more than just some working code. It considers whether a component is deployable, monitorable, maintainable, reusable, secure and adds value to the end-user or customer.

Testing 157

Testing Metadata Dashboards Statistics 157

Cloudera

OCTOBER 11, 2021

Modak, a leading provider of modern data engineering solutions, is now a certified solution partner with Cloudera. Customers can now seamlessly automate migration to Cloudera’s Hybrid Data Platform — Cloudera Data Platform (CDP) to dynamically auto-scale cloud services with Cloudera Data Engineering (CDE) integration with Modak Nabu. Modak’s Nabu is a born in the cloud, cloud-neutral integrated data engineering platform designed to accelerate the journey of enterprises to the cloud.

Data Lake 90

Data Lake Cost-Benefit Data-driven Dashboards 90

Speaker: Scott Sehlhorst

We know we want to create products which our customers find to be valuable. Whether we label it as customer-centric or product-led depends on how long we've been doing product management. There are three challenges we face when doing this. The obvious challenge is figuring out what our users need; the non-obvious challenges are in creating a shared understanding of those needs and in sensing if what we're doing is meeting those needs.

Management