Sat.Aug 01, 2020 - Fri.Aug 07, 2020

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Selecting the Right Bounding Box Using Non-Max Suppression (with implementation)

Analytics Vidhya

So Overview Understand the concept of Non-Max Suppression Learn how object detection algorithms use Non-Max Suppression Implement non-max suppression using NMS function in PyTorch. The post Selecting the Right Bounding Box Using Non-Max Suppression (with implementation) appeared first on Analytics Vidhya.

Analytics 387
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Who Does the Machine Learning and Data Science Work?

Business Over Broadway

A survey of over 19,000 data professionals showed that nearly 2/3rds of respondents said they analyze data to influence product/business decisions. Only 1/4 of respondents said they do research to advance the state of the art of machine learning. Different data roles have different work activity profiles with Data Scientists engaging in more different work activities than other data professionals.

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What Is Data Literacy?

erwin

How Data Literacy Turns Data from a Burden to a Benefit. Today, data literacy is more important than ever. Data is now being used to support business decisions few executives thought they’d be making even six months ago. With your employees connected and armed with data that paints a clear picture of the business, your organization is better prepared to turn its attention to whatever your strategic priority may be – i.e. digital transformation, customer experience, or withstanding this cur

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Data Analytics Is Vital To Digital Marketing Training During Pandemic

Smart Data Collective

Digital marketing is becoming more important during the pandemic. One study in the UK found that 65% of consumers increased spending during the crisis. Companies are investing more in digital marketing to respond to changing consumer behavior. Unfortunately, they have also found it difficult to train employees. Fortunately, new data analytics advances can help.

Marketing 119
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How To Get Promoted In Product Management

Speaker: John Mansour

If you're looking to advance your career in product management, there are more options than just climbing the management ladder. Join our upcoming webinar to learn about highly rewarding career paths that don't involve management responsibilities. We'll cover both career tracks and provide tips on how to position yourself for success in the one that's right for you.

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6 Open-Source Projects to Become Future-Ready Data Scientist

Analytics Vidhya

Overview Open-source data science projects are a great way to prepare yourself for the future. Explore the open-source data science projects from computer vision, The post 6 Open-Source Projects to Become Future-Ready Data Scientist appeared first on Analytics Vidhya.

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Build or Buy Data Management

TDAN

The new reality businesses face is fairly simple: capital expenditures have been frozen and finding inefficiencies in operational expenses has become priority one. McKinsey research found, even before the pandemic hit, that 92% of organizations thought their business models would require a significant effort in digital transformation to remain competitive.

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5 Amazing Benefits Of Big Data For Business Owners In 2020

Smart Data Collective

The big data market is exploding. According to Markets and Markets, it will be worth $229 billion in the next five years. Despite the rapid evolution of big data, many small businesses are overlooking its benefits. You should not make this mistake. You should consider the vast benefits of big data and invest in it accordingly. Why Small Businesses Overlook Big Data (And Should Start Embracing it).

Big Data 117
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People to Follow in the field of Natural Language Processing (NLP)

Analytics Vidhya

Overview Text analytics is becoming easier with many people working day and night on each aspect of Natural Language Processing We list a set. The post People to Follow in the field of Natural Language Processing (NLP) appeared first on Analytics Vidhya.

Analytics 354
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Data and Analytics Hype Cycles for 2020 Just Published!

Andrew White

Here is a reference to the range and breadth of data and analytics hype in the market. Start by understanding how to use and read a hype cycle. Enjoy! Hype Cycle for Enterprise Information Management, 2020 Hype around data and analytics continues at fever pitch, driven in part by increased demands related to COVID-19. Yet organizations struggle to deliver business value from D&A investments.

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OnCrawl Plugin Now Available to Connect Technical SEO to Data Science

Dataiku

This blog post was written by our friends at OnCrawl, an award-winning technical SEO platform that helps over 1,000 companies make smarter SEO decisions.

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Navigating the Future: Generative AI, Application Analytics, and Data

Generative AI is upending the way product developers & end-users alike are interacting with data. Despite the potential of AI, many are left with questions about the future of product development: How will AI impact my business and contribute to its success? What can product managers and developers expect in the future with the widespread adoption of AI?

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Can AI Replace The Staff In The Judicial System?

Smart Data Collective

In this writing, readers will get to know in what way AI might replace the key procedures in the judicial system around the world. Additionally, you will get informed in detail concerning the following issues: How AI is being used in judicial systems in the US and China nowadays; Can AI ever make the right decisions and release fair verdicts; Whether it is real that AI will once replace human judges in courts.

Risk 106
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Time Intelligence in Power BI: Capitalize on time

Analytics Vidhya

Overview Understand the importance of Time Intelligence functions in Power BI Implement Time Intelligence functions in Power BI with a simple example Introduction. The post Time Intelligence in Power BI: Capitalize on time appeared first on Analytics Vidhya.

Analytics 338
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Approaches to Secure Data in the Cloud

TDAN

Cloud adoption is growing exponentially due to its apparent business benefits. These include improved efficiency, scalability, faster deployments, and reduced costs. However, the growth of cyber threats is in direct ratio with the rapid expansion of cloud adoption. Data breaches, targeted cyberattacks, and human errors pose a major security threat to any organization.

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A Complete Guide to Creating Stunning Data Reports

FineReport

Data reports are an important part of maintaining the company’s normal production and operations. The business development and financial status of the company need to be monitored through data reports. Developing reports is one of the necessary skills for data analysts or consultants. At present, most data analysts spend a lot of time making all kinds of complex reports.

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Get Better Network Graphs & Save Analysts Time

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.

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3 Ways Technology Is Hurting Your Financial Close Process

Jet Global

Is your financial close process run by institutional memory? People with knowledge and a background in the close process are able to execute its procedures on the basis of their expertise , regardless of whether the complexities of the close process are creating burdens and inefficiencies that those leaders aren’t able to get under control. Compared to that antiquated scenario, the adoption of any financial close software would seem to be a massive improvement.

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Playing with YOLO v1 on Google Colab

Analytics Vidhya

Object Detection is a computer vision task in which you build ML models to quickly detect various objects in images, and predict a class. The post Playing with YOLO v1 on Google Colab appeared first on Analytics Vidhya.

Modeling 338
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A Q&A on Federal AI

Dataiku

While the AI wave is still going strong, many organizations are just starting to figure out how to ride that wave. Not dissimilar from the private sector, federal entities understand that they must leverage AI to continue to effectively deliver their missions, but struggle with determining how to scale and evangelize AI throughout their organization.

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An expanded and more mobile-friendly version of the Data & Analytics Dictionary

Peter James Thomas

A revised and expanded version of the peterjamesthomas.com Data and Analytics Dictionary has been published. The previous Dictionary was not the easiest to read on mobile devices. Because of this, the layout has been amended in this release and the mobile experience should now be greatly enhanced. Any feedback on usability would be welcome. The new Dictionary includes 22 additional definitions, bringing the total number of entries to 220, totalling well over twenty thousand words.

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Beyond the Basics of A/B Tests: Highly Innovative Experimentation Tactics You Need to Know

Speaker: Timothy Chan, PhD., Head of Data Science

Are you ready to move beyond the basics and take a deep dive into the cutting-edge techniques that are reshaping the landscape of experimentation? 🌐 From Sequential Testing to Multi-Armed Bandits, Switchback Experiments to Stratified Sampling, Timothy Chan, Data Science Lead, is here to unravel the mysteries of these powerful methodologies that are revolutionizing how we approach testing.

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Q&A with Andy Burrows: Better Financial Strategies Make Businesses Grow

Jet Global

Andy Burrows is a UK-based finance consultant who coaches businesses all over the world to drive performance using data and financial strategies that work in practice, not just in theory. Follow him on LinkedIn or on his website Supercharged Finance. . How did you come to start Supercharged Finance and what do you do there? I started out as an accountant, but I decided that I wanted to go beyond financial reports and auditing accounts to use my skills in business.

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Build a Natural Language Generation (NLG) System using PyTorch

Analytics Vidhya

Overview Introduction to Natural Language Generation (NLG) and related things- Data Preparation Training Neural Language Models Build a Natural Language Generation System using PyTorch. The post Build a Natural Language Generation (NLG) System using PyTorch appeared first on Analytics Vidhya.

Modeling 313
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Smart Tips for Better Maritime Security

Smart Data Collective

To this day, roughly 90 percent of the world’s trade is handled by the international shipping industry. Not only does this make it one of the most lucrative sectors in the global economy, but as a result, it’s one of the biggest targets for cyber criminals. In order to stay safe, maritime organizations must invest in the proper security mechanisms and strategies.

Risk 95
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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 13: Digital Sales Enablement is a gamechanger in the post-COVID era

bridgei2i

PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 13: Digital Sales Enablement is a gamechanger in the. post-COVID era. Listening time: 11 minutes. Digital Sales Enablement is a gamechanger in the post-COVID era. In order to bring more value to the table in post COVID times, B2B sales organisations today are continuously looking out for the right insights to pursue the right opportunities.

Sales 93
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Understanding User Needs and Satisfying Them

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.

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Reports Portal?Free You From Time-Consuming O&M Work

FineReport

When selecting the reporting software , whether the reporting system will enable report developers to develop reports quickly would be the priority of the enterprise’s consideration. However, it’s common to ignore choosing the reports portal. This would increase the O&M department’s burden to maintain the reporting system. For example, after our company launched the ERP system, it is convenient to develop simple reports after a period of debugging.

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How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project

Analytics Vidhya

Introduction Natural Language Processing (NLP) is one of the most important fields of study and research in today’s world. It has many applications in. The post How to Use Texthero to Prepare a Text-based Dataset for Your NLP Project appeared first on Analytics Vidhya.

Analytics 301
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Architecting for Today’s Hybrid Analytic Ecosystem

Teradata

A modern analytic ecosystem embraces a hybrid approach and leverages the right technologies to meet the needs at the right cost/value ratio. Read more.

Analytics 100
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How to Evaluate FP&A Tools for Your Finance Department

Jet Global

Enterprise organizations can’t achieve effective financial planning and analysis (FP&A) without the use of modern FP&A tools. The capabilities of these innovative solutions unlock efficiencies and performance power to help finance departments deliver more value to their organizations. FP&A may be just one part of a larger, more complicated finance infrastructure, but the right FP&A tools can deliver benefits across the full spectrum of financial activities and unlock new strategi

Finance 90
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How Embedded Analytics Gets You to Market Faster with a SAAS Offering

Start-ups & SMBs launching products quickly must bundle dashboards, reports, & self-service analytics into apps. Customers expect rapid value from your product (time-to-value), data security, and access to advanced capabilities. Traditional Business Intelligence (BI) tools can provide valuable data analysis capabilities, but they have a barrier to entry that can stop small and midsize businesses from capitalizing on them.

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My New Favorite Demo Dataset: Dunder Mifflin Data

Tim Mitchell

Those of us who write technical articles and deliver technical presentations are always on the lookout for the perfect data set for demonstration and testing. Microsoft has done a good job of putting together sample databases including Wide World Importers, AdventureWorks, and Northwind Traders. Personally, I’ve found each of these useful, but I had no particular attachment to any of.

Testing 83
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7 Awesome Python Packages and Example Projects to Build!

Analytics Vidhya

Introduction There are almost 100 python packages being created each day. On PyPI, at the time of writing this article, there are 254,216 projects. The post 7 Awesome Python Packages and Example Projects to Build! appeared first on Analytics Vidhya.

Analytics 283
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Information Governance Goes Beyond Record Keeping

TDAN

The coronavirus lockdown prompted a quick shift by many financial institutions to business continuity modes and consumers to online banking interactions. But will this movement ultimately impact information management and governance? In responding to the immediacy of the pandemic situation, many credit unions, and banks, exacerbated by a survival methodology, moved to remote customer contacts […].

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AI Is Expanding Our Video Content Creation Options In Stupendous Ways

Smart Data Collective

At Smart Data Collective, we have talked about a few impressive technological trends that are shaping modern business in the 21st-century. One of the most significant developments that we discuss constantly is the proliferation of artificial intelligence. Video marketing is another major technological breakthrough that is proving to pay massive dividends.

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Manufacturing Sustainability Surge: Your Guide to Data-Driven Energy Optimization & Decarbonization

Speaker: Kevin Kai Wong, President of Emergent Energy Solutions

In today's industrial landscape, the pursuit of sustainable energy optimization and decarbonization has become paramount. Manufacturing corporations across the U.S. are facing the urgent need to align with decarbonization goals while enhancing efficiency and productivity. Unfortunately, the lack of comprehensive energy data poses a significant challenge for manufacturing managers striving to meet their targets.