Analytics Vidhya
AUGUST 2, 2020
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.
Business Over Broadway
AUGUST 4, 2020
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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erwin
AUGUST 6, 2020
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
Smart Data Collective
AUGUST 4, 2020
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.
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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.
Analytics Vidhya
AUGUST 6, 2020
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.
TDAN
AUGUST 5, 2020
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.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Smart Data Collective
AUGUST 4, 2020
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).
Analytics Vidhya
AUGUST 5, 2020
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.
Andrew White
AUGUST 7, 2020
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.
Dataiku
AUGUST 3, 2020
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.
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.
Smart Data Collective
AUGUST 5, 2020
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.
Analytics Vidhya
AUGUST 4, 2020
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.
TDAN
AUGUST 5, 2020
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.
FineReport
AUGUST 6, 2020
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.
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.
Jet Global
AUGUST 4, 2020
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.
Analytics Vidhya
AUGUST 4, 2020
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.
Dataiku
AUGUST 4, 2020
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.
Peter James Thomas
AUGUST 4, 2020
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.
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.
Jet Global
AUGUST 6, 2020
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.
Analytics Vidhya
AUGUST 3, 2020
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.
Smart Data Collective
AUGUST 6, 2020
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.
bridgei2i
AUGUST 4, 2020
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.
Speaker: Aarushi Kansal, AI Leader & Author and Tony Karrer, Founder & CTO at Aggregage
Software leaders who are building applications based on Large Language Models (LLMs) often find it a challenge to achieve reliability. It’s no surprise given the non-deterministic nature of LLMs. To effectively create reliable LLM-based (often with RAG) applications, extensive testing and evaluation processes are crucial. This often ends up involving meticulous adjustments to prompts.
FineReport
AUGUST 4, 2020
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.
Analytics Vidhya
AUGUST 7, 2020
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.
Teradata
AUGUST 5, 2020
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.
Jet Global
AUGUST 6, 2020
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
Speaker: Anne Steiner and David Laribee
As a concept, Developer Experience (DX) has gained significant attention in the tech industry. It emphasizes engineers’ efficiency and satisfaction during the product development process. As product managers, we need to understand how a good DX can contribute not only to the well-being of our development teams but also to the broader objectives of product success and customer satisfaction.
Tim Mitchell
AUGUST 6, 2020
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.
Analytics Vidhya
AUGUST 5, 2020
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.
TDAN
AUGUST 4, 2020
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 […].
MLWhiz
AUGUST 4, 2020
Data Exploration is a key part of Data Science. And does it take long? Ahh. Don’t even ask. Preparing a data set for ML not only requires understanding the data set, cleaning, and creating new features, it also involves doing these steps repeatedly until we have a fine-tuned system. As we moved towards bigger datasets, Apache Spark came as a ray of hope.
Speaker: Margaret-Ann Seger, Head of Product, Statsig
Experimentation is often seen as an aspirational practice, especially at smaller, fast-moving companies who are strapped for time and resources. So, how can you get your team making decisions in a more data-driven way while continuing to remain lean and maintaining ship velocity? In this webinar, Margaret-Ann Seger, Head of Product at Statsig, will teach you how to build an experimentation culture from the ground-up, graduating from just getting started with data-driven development to operating
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