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 98

Metadata Data Collection Optimization IT 98

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 361

Data Science Publishing Analytics 361

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 152

Testing Metadata Dashboards Statistics 152

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 257

Visualization Data Science Publishing Analytics 257

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

Analytics

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 132

Data mining Data Science Software Machine Learning 132

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

Sisense

OCTOBER 11, 2021

Blog. This may sound counterintuitive coming from an analytics company, but analytics are not the “point” of analytics software. Making smarter decisions and delivering better business outcomes are the main reasons companies of all sizes in every industry want to drive their teams to make use of business intelligence. But generations of technological innovation (better data visualizations, cloud analytics, and self-service tools) plus the rise of analytics-focused cultures in workplaces have fai

Analytics 52

Analytics Software Data-driven Business Intelligence 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

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

Speaker: Alex Salazar, CEO & Co-Founder @ Arcade | Nate Barbettini, Founding Engineer @ Arcade | Tony Karrer, Founder & CTO @ Aggregage

There’s a lot of noise surrounding the ability of AI agents to connect to your tools, systems and data. But building an AI application into a reliable, secure workflow agent isn’t as simple as plugging in an API. As an engineering leader, it can be challenging to make sense of this evolving landscape, but agent tooling provides such high value that it’s critical we figure out how to move forward.

ROI