May, 2020

Tips for Advancing Analytics Capabilities from Data Champions Online, US


The importance of company-wide buy-in and cross-functional collaboration emerged as key themes at this months Data Champions Online, US digital event. Almost 300 of North America’s most senior data and analytics leaders came together to discuss the future of the industry at Corinium’s third Data Champions Online, US digital event earlier this month. Digital Transformation and Strategy

Why Small Business Should Embrace AI


Small business owners are facing a myriad of serious challenges these days. An economic shutdown has left them bereft of customers while their corporate counterparts keep growing, and an inability to adapt to the latest technological trends continues to threaten their future profitability.

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Demand for Data and Analytics Soars in the Wake of COVID-19


Faced with unprecedented global disruption, organizations are hungry for reliable insights to guide them through the global COVID-19 pandemic. In times of crisis, organizations often need to make tough decisions fast.

How AI Visual Inspection Systems Help Fight COVID-19


With the advent and spread of the novel Coronavirus, businesses around the world pitched in to save the World. Amazon and Microsoft created partnerships with governments and nonprofit organizations in launching a relief fund to deal with the pandemic.

Facebook Causes Continue to Show Little Promise as Fundraising Tools

How to measure stock on hand, over stock, under stock and dead stock quickly and simply


Many businesses are adjusting demand forecasting due to the effects of the pandemic. Some products have increased in demand while others less so.

6 Open Source Data Science Projects to Try at Home!

Analytics Vidhya

Overview Work on your data science skills using these open source projects These open-source data science projects cover a broad range of topics, from. The post 6 Open Source Data Science Projects to Try at Home! appeared first on Analytics Vidhya. Beginner Career Github Listicle data science data science lockdown data science projects machine learning open source data science projects open source projects

More Trending

When and When Not to Use Deep Learning


Deep learning is all the rage today, as major breakthroughs in the field of artificial neural networks in the past few years have driven companies across industries to implement deep learning solutions as part of their AI strategy. From chatbots in customer service to image and object recognition in retail , and much more, deep learning has unlocked a myriad of sophisticated new AI applications. But is it always the right way to go? Data Basics Scaling AI Featured

An Introduction to Machine Learning Libraries for C++

Analytics Vidhya

Introduction I love working with C++, even after I discovered the Python programming language for machine learning. C++ was the first programming language I. The post An Introduction to Machine Learning Libraries for C++ appeared first on Analytics Vidhya. Clustering Intermediate Libraries Linear Regression Machine Learning Programming Regression C C++ Libraries mlpack Shark

3 Classic Excel Tricks to Become an Efficient Analyst

Analytics Vidhya

Overview Learn 3 classic Excel tricks in this article that will impress your audience Use these Excel tricks in your business analytics or data. The post 3 Classic Excel Tricks to Become an Efficient Analyst appeared first on Analytics Vidhya. Beginner Business Analytics Excel Basic Excel excel print excel print titles excel tips excel tips and tricks Microsoft Excel

Customer Success: Earning Trust Through Partnership


Customer obsession is part of who we are. In Sisense Successes , we share stories of customer obsession in action and best practices you can apply in your own customer relationships. When we partner, we all win. We’re obsessed with the success of our customers — it’s in our DNA. So when we learned we’d been honored with our fourth perfect recommendation score in Dresner’s 2020 Wisdom of Crowds BI Market Study , it was quite a thrill.

Intelligent Process Automation: Boosting Bots with AI and Machine Learning

Across all sectors, companies are learning that they can transform their businesses by embracing Intelligent Process Automation, or IPA. With the pairing of AI and RPA, IPA adds a new layer of intelligent decision-making processes to automated RPA tasks. By automating repetitive work, and adding the ability to automate intelligent decision making, intelligent automation frees up your most valuable resources – your employees – to spend more time on higher value and more strategic work. But in order to reap the rewards of Intelligent Process Automation, organizations must first educate themselves and prepare for the adoption of IPA. In our ebook, Intelligent Process Automation: Boosting Bots with AI and Machine Learning.

Safeaid turns to business intelligence software to maintain customer satisfaction


Safeaid Supplies is an English manufacturer and supplier of personal protective equipment. The company started out of a garage in 1976 and has grown to include 20 employees who service the entire country with guaranteed next day delivery.

Partner and Affiliate Monitoring: The Benefits of AI Over Traditional Methods

Analytics Vidhya

Introduction We are living in the midst of a global revolution right now. The business world of today is more interconnected than ever, not. The post Partner and Affiliate Monitoring: The Benefits of AI Over Traditional Methods appeared first on Analytics Vidhya. Digital Marketing Intermediate Use Cases affiliate monitoring AI in affiliate marketing partner monitoring

How Machine Learning for Fraud Detection Works in Different Industries


In a world where there are no absolute security guarantees, any organization could potentially become a victim of fraud. And non-profit companies, too - because data sometimes takes on even more weight than pure money. The more companies come up with protection methods, the more scammers come up with ways to outwit them in return. This is like running in a vicious circle, and the only thing that can break this circle is the ability to predict fraudulent attempts and prevent them.

Seize The Power Of Analytical Reports – Business Examples & Templates


In recent years, analytical reporting has evolved into one of the world’s most important business intelligence components, compelling companies to adapt their strategies based on powerful data-driven insights.

Building Like Amazon

Speaker: Leo Zhadanovsky, Principal Solutions Architect, Amazon Web Services

Amazon's journey to its current modern architecture and processes provides insights for all software development leaders. To get there, Amazon focused on decomposing for agility, making critical cultural and operational changes, and creating tools for software delivery. The result was enabling developers to rapidly release and iterate software while maintaining industry-leading standards on security, reliability, and performance. Whether you're developing for a small startup or a large corporation, learning the tools for CI/CD will make your good DevOps team great. We are excited to be joined by Leo Zhadanovsky, a Principal Solutions Architect at Amazon Web Services.

Video: Data Conversations Over Coffee with Veronica & Lays


In episode 10 we talk to Veronica Brits & Lays Bammesberger about the use of AI and machine learning in social listening. Data and Analytics

Data Lakes Meet Data Warehouses

David Menninger's Analyst Perspectives

In this analyst perspective, Dave Menninger takes a look at data lakes. He explains the term “data lake,” describes common use cases and shares his views on some of the latest market trends. He explores the relationship between data warehouses and data lakes and share some of Ventana Research’s findings on the subject. He also provides an assessment of the risks organizations face in working with data lakes and offers recommendations for maximizing the potential of data.

Sales analytics helps online retailer understand customer behavior in lockdown


Ruroc is an online retailer that sells unconventional and aesthetically unique ski helmets. In 10 years, Ruroc has built a global community of loyal followers and customers. After proving the concept in ski helmets, the company recognized the need to expand into motorcycle helmets.

Sales 191

Facebook AI Launches DEtection TRansformer (DETR) ? A Transformer based Object Detection Approach!

Analytics Vidhya

Introduction Every once in a while, a machine learning framework or library changes the landscape of the field. Today, Facebook open sourced one such. The post Facebook AI Launches DEtection TRansformer (DETR) – A Transformer based Object Detection Approach! appeared first on Analytics Vidhya. Advanced Computer Vision Deep Learning Object Detection Supervised Technique Unstructured Data object detection pytorch transfer learning transformers

6 Steps to Improving Your Application’s Analytics Experience

No one designs bad dashboards and reports on purpose. So why do so many applications have terrible analytics experiences? Download this ebook for secrets to creating dashboards and reports your users will love.

Dont Acquire a Company Until You Evaluate its Data Quality


Mergers & acquisitions happen when companies believe they are more valuable together than when operating separately. The companies join workforces, systems, infrastructure, and data to become a new, more powerful, more valuable, more effective entity.

Apply Modern CRM Dashboards & Reports Into Your Business – Examples & Templates


Niche or industry aside, it’s likely that your customers are the beating heart of your entire operation. To ensure that your customer-facing communications and efforts are constantly improving and evolving, investing in customer relationship management (CRM) is vital.

Video: Data Conversations Over Coffee with Youmna Borghol


In episode 8 we talk to Youmna Borghol about the evolution of the Chief Data Officer role in the Middle East. And take a deep dive into how data analytics is used in the media sector. Data and Analytics DataCon Africa Live

Data Science Blogs-R-Us

Rocket-Powered Data Science

I have written articles in many places. I will be collecting links to those sources here. The list is not complete and will be constantly evolving. There are some older blogs that I will be including in the list below as I remember them and find them. Also included are some interviews in which I provided detailed answers to a variety of questions. In 2019, I was listed as the #1 Top Data Science Blogger to Follow on Twitter.

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Onna is breaking down how the concept of information governance has evolved and ways today’s businesses can develop a holistic framework to keep up with a rapidly accelerating datasphere.

How data-driven decision-making can help businesses rebound faster


According to research conducted by McKinsey before COVID-19 hit, 92% of companies thought their business models would need to change in order to remain economically viable given their industry’s rate of digitization.

10 matplotlib Tricks to Master Data Visualization in Python

Analytics Vidhya

Overview matplotlib is a widely used Python library for performing data visualization and exploratory data analysis These 10 matplotlib tricks will enable you to. The post 10 matplotlib Tricks to Master Data Visualization in Python appeared first on Analytics Vidhya. Beginner Data Visualization Listicle Python common questions data visualization Data Visualization in Python matplotlib matplotlib charts matplotlib tricks matplotlib visualization

How Predictive Analytics Impact Distribution


Analytics tools are one of the most crucial parts of business success in the twenty-first century. While it's not as magical as a crystal ball, analytics can provide in-depth knowledge about the state of a company and help it predict with some certainty what will happen.

Four critical data management attributes for AI and digital transformation

IBM Big Data Hub

Many enterprises have a tangled data management system, comprised of an assortment of products assembled together, in an attempt to meet the complex needs of modern day data management.

The Best Sales Forecasting Models for Weathering Your Goals

Every sales forecasting model has a different strength and predictability method. It’s recommended to test out which one is best for your team. This way, you’ll be able to further enhance – and optimize – your newly-developed pipeline. Your future sales forecast? Sunny skies (and success) are just ahead!

What COVID-19 Means for Data and Analytics Leaders


This is an extract from Corinium's 2020 State of Data and Analytics US benchmarking research. Click here now to access the full report. Data and Analytics

PODCAST: COVID19 | Redefining Digital Enterprises – Episode 6: The Impact of COVID-19 on Supply Chain Management


PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 6: The Impact of COVID-19 on Supply Chain Management. Listening time: 13 minutes. The Impact of COVID-19 on Supply Chain Management.

Building the case for data analytics in the aged care sector


The pace of change in the aged care sector, combined with processes that are out of alignment with the role and importance of analytics, may threaten operator's ability to meet patient demand and impact the overall quality of care provided. In order to keep up to speed of these increasing demands, you need to be more strategic and efficient when it comes to decision making.

New to Git and GitHub? This Essential Beginners Guide is for you

Analytics Vidhya

Overview Git and GitHub are essential tools for any data science professional who wants to code Learn the value and the in’s and out’s. The post New to Git and GitHub? This Essential Beginners Guide is for you appeared first on Analytics Vidhya. Beginner Github git

How Banks Are Winning with AI and Automated Machine Learning

Banks have always relied on predictions to make their decisions. Estimating the risks or rewards of making a particular loan, for example, has traditionally fallen under the purview of bankers with deep knowledge of the industry and extensive expertise. But times are changing. Today, banks realize that data science can significantly speed up these decisions with accurate and targeted predictive analytics. By leveraging the power of automated machine learning, banks have the potential to make data-driven decisions for products, services, and operations. Read the white paper, How Banks Are Winning with AI and Automated Machine Learning, to find out more about how banks are tackling their biggest data science challenges.