A look at top data science developments worth watching in 2021 Data is a crucial asset for modern businesses. In today’s digital age, any data-related term such as data collection,
Overview of MLOps
Building a machine learning model is great, but to provide real business value, it must be made useful and maintained to remain useful over time. Machine Learning Operations (MLOps), overviewed here, is a rapidly growing space that encompasses everything required to deploy a machine learning model into production, and is a crucial aspect to delivering this sought after value.
Ensuring that citizen developers build AI responsibly
The AI industry is playing a dangerous game right now in its embrace of a new generation of citizen developers. On the one hand, AI solution providers, consultants, and others are talking a good talk around “responsible AI.” But they’re also encouraging a new generation of nontraditional developers to build deep learning, machine learning, natural language processing, and other intelligence into practically everything.
Why Data Analytics Can Be Compared To A Water Pipeline
Today, data is being increasingly seen as a source of competitive advantages for businesses of all sizes today. According to an IDC CXO survey in 2020, 87% of CIOs identified
⊱ 12 Best Tools Marketers Use for Market Research
Market research tools are a dime a dozen. While this is exciting news, it’s also confusing since the variety of options can leave you wondering …
15 Habits I Learned from Highly Effective Data Scientists
I’m using these habits in 2021 to become a more effective future data scientist.
5 Key Best Practices for SEO Testing (+9 Ideas to Try Now)
Just as nature abhors a vacuum, so too do marketers regard uncertainty. Despite years spent learning the ins and outs of SEO, no marketer knows the exact weight of the more than 300 variables calculated in Google search results—including Google engineers. The company’s advice has been relatively consistent on the matter—create high-quality original content and get inbound links from high authority sites—but this still leaves a lot to the imagination.
SEO Website Analytics: Going One Step Deeper Into GA
Website analytics can tell us a lot about our audience and how they interact with our site. Oftentimes, we rely heavily on these analytics for reporting. But what if I told you that Google Analytics provides data that can be used as a strategy tool? In this post, we are going to quickly look at three very specific, very actionable Google Analytics views for uncovering SEO opportunities.
Bringing AI predictions to Tableau with Einstein Discovery
With the upcoming Tableau 2021.1 release, we’re delivering the first integration of Salesforce’s artificial intelligence (AI) and machine learning (ML) capabilities in Tableau. This introduces an exciting new class of AI-powered analytics: Tableau Business Science. We’re bringing powerful data science techniques closer to the business, beginning with Einstein Discovery in Tableau. Users across the organization are now enabled with powerful predictions and recommendations to make smarter decisions faster. There are three ways to leverage the core ML technology of Einstein Discovery in Tableau—all with no coding required:
How Much Should Your Marketing Team Budget for 2021? [By Industry]
When I was hired for my first marketing role, I got really excited to pitch new, exciting ideas to my team.
Top IT spending priorities for 2021
The pandemic will continue to influence IT budgets in the next 12 months in ways both large and small. Organizations will rely on technology to improve remote work infrastructure, expand digital transformation initiatives, and create or enhance a variety of customer services.
Analytics On The Bleeding Edge: Transforming Data’s Influence
Analytics teams are named for the silos and limitations within which they trap themselves. Paid Media. Owned Media. SEO. BI. Customer Service. Data Warehousing. Email. And, a thousand other silos (depending on your company size). One outcome of this reality is that while every team works hard to do their very best work, it is […]
What is DataOps?
DataOps is the use of agile development practices to create, deliver, and optimize data products, quickly and cost-effectively. DataOps is practiced by modern data teams, including data engineers,…
The rise of DataPrepOps
Modern data development tools and how data quality impacts ML resultsPhoto by NASA on UnsplashML is all around us! From healthcare to education, it is being applied in many domains that affect our daily activities and it’s able to deliver many benefits. Data quality carries a very important and significant role in the development of AI solutions — just like the old “Garbage in, garbage out” — we can easily understand the weight of data quality and its potential impact in solutions like cancer detection or autonomous driving systems.
What analytics leaders need to know about graph technology
The massive data sets, complex processing capabilities and advanced analytical models in the current digital business landscape create the perfect storm of opportunity for data and analytics. After languishing for decades, graph approaches are being embraced by analysts, data scientists and data management professionals. Graph technology is a sort of catch-all phrase that includes graph theory, graph analytics and graph data management.
Power BI March 2021 Feature Summary
This month, we are continuing our work on the ongoing previews of DirectQuery for PowerBI datasets and Azure Analysis Services, Small Multiples, and the Model View UI. Also, we are making it easier to specify filters in the DAX CALCULATE function. On the Service side, when you click on a dataset in the workspace list view you will be taken to our new dataset details page, which includes information about when the report was last refreshed as well as actions such as creating a new report. Of course, there is much more, so read on!
Google Reveals What Personal Data Chrome and Its Apps Collect On You
Privacy-focused search engine DuckDuckGo called out rival Google for "spying" on users after the search giant updated its flagship app to spell out the exact kinds of information it collects for personalization and marketing purposes. "After months of stalling, Google finally revealed how much personal data they collect in Chrome and the Google app. No wonder they wanted to hide it," the company
How I Became a Recruiter-Magnet on LinkedIn
13 months of experimentation boiled down to actionable advicePhoto by inlytics on UnsplashIf you’ve been following what I have been saying in other pieces, feel free to skip ahead to the advice in the next session.
You’re Not Realizing the Full Value of Your Company’s Data
How to turn your company’s data analytics into more than just a corporate buzzword
Machine Learning with Python- Gaussian Naive Bayes
This article was published as a part of the Data Science Blogathon. Introduction This article assumes that you possess a basic knowledge of Python