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. Nevertheless, many small business owners are refusing to allow their fledgling commercial empires to crumble easily.

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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. That’s particularly true in the era of COVID-19, and our research shows that data and analytics is playing a central role in business decision-making as executives steer their organizations through the unfolding pandemic. Data and Analytics

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 made the announcement that it will be supporting the CDC Foundation with matching donations of $10 million as the CDC Foundation prepares to launch a fundraising effort to fight COVID-19 in the United States.

Are Your Embedded Analytics DevOps-Friendly?

Does your analytics solution work with your current tech stack and DevOps practices? If not, any update to the analytics could increase deployment complexity and become difficult to maintain. Learn the 5 elements of a DevOps-friendly embedded analytics solution.

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. It is important for companies that manage lots of products to evaluate how the impact of the disruptions, as well as the anticipated gradual recovery from its effects, should be applied to its measurement of inventory.

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.

Digital Trends Report 2020

As part of our goal to continue helping our community during these times, we wanted to share with you this critical data on the state of digital products across industries and provide context on how businesses are responding to the changing winds.

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. Safeaid prides itself in providing responsive, first-class customer service. With its continued growth, the company turned to business intelligence software to maintain customer satisfaction.

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.

DataOps and the Industrialization of AI


HPE Global Field CTO Matt Maccaux explored why so many enterprises struggle to operationalize AI in his 2020 Data Champions Online US keynote presentation. Why Enterprises Struggle to Industrialize AI. Industrialization is the process of expanding the application of a technology so that a business can benefit from it at scale. Artificial Intelligence & Machine Learning

5 Things a Data Scientist Can Do to Stay Current

DataRobot together with Snowflake – a leading cloud data platform provider — is helping data scientists stay current with the latest technology and data science best practices so that they can excel in an increasingly AI-driven workplace. Five Things a Data Scientist Can Do to Stay Current offers data scientists guidance for thriving in AI-driven enterprises.

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. While many companies struggle to leverage an effective business intelligence strategy, the importance of analytical information created a fluctuation of data that cannot be simply collected into a single spreadsheet.

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.

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.

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

Testing at Every Stage of Development

Up to 80% of new products fail. The reality is harsh and the reasons why are endless. Perhaps the new product couldn’t oust a customer favorite. Maybe it looked great but was too hard to use. Or, despite being a superior product, the go-to-market strategy failed. There’s always a risk when building a new product, but you can hedge your bets by understanding exactly what your customers' expectations truly are at every step of the development process.

8 Key Tech Trends in a Post-COVID-19 World


COVID-19 has demonstrated the importance of digital readiness, which allows business and people’s life to continue as usual during pandemics. Building the necessary infrastructure to support a digitized world and stay current in the latest technology will be essential for any business or country to remain competitive in a post-COVID-19 world. [3]COVID19

Corinium Meets: Citi Chief Data Scientist Dan Costanza


Dan Costanza, Chief Data Scientist: Banking, Capital Markets and Advisory at Citi, outlines how he’s working to democratize the bank’s data, what’s next for his data strategy and what makes his job is different from other C-Level data roles. What were your greatest professional achievements in 2019? In 2019, our real focus was on increasing engagement with non-data-driven parts of the organization to try to get them to think in a more data-driven fashion. Data and Analytics

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.

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.

How Embedding AI-Powered Analytics Can Give You a Competitive Advantage

Embedding dashboards and reports aren’t enough. Futureproof your application by offering instant, actionable insights that will give you and your customers a competitive advantage.

5 ways to use business intelligence software to adapt to the new normal


Phocas customers operate in distribution, manufacturing and retail, so they're always analyzing their data to improve business performance. Covid-19 has impacted everyone; some are experiencing spikes in demand, whereas others have had to pivot exclusively to online sales.

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

Why NLP Is a Promising Technology for Business


In today’s fiercely competitive world, businesses must dig deeper and develop a greater understanding of customer preferences and market trends by applying innovative options like artificial intelligence and machine learning.

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

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.

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 labyrinth of convoluted data management systems often evolves as a natural response to data growth, diversity of data types, and varying needs based on business objectives

What does burnout look like?

Jen Stirrup

This is a personal blog and I’m sharing these details here to promote understanding and show empathy during these challenging times. I’m a Microsoft MVP, and have been one for nine years. I’m also a Microsoft Regional Director. I’m also a single mother, a daughter, a friend, and a sister. This past year has been challenging for me in every way possible. Personally, two close family members have gone through cancer and thankfully, beaten it.

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5 data trends business managers can monitor to rebound faster


During this time of uncertainty, business managers must have the ability to cut through the noise so they can see what’s happening and understand the changes taking place in their businesses. Accurate and timely data will help you decide which areas of your business are critical and where to focus. Full visibility of your operations allows you to determine data trends so you can make fact based decisions and rebound faster.

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

Rethinking Information Governance In The Age of Unstructured Enterprise Data

Today’s organizations are faced with the overwhelming challenge of managing, finding, and leveraging their information. This eBook discusses a newly discovered information discipline and is filled to the brim with helpful information.