datapine
APRIL 22, 2020
“Without big data analytics, companies are blind and deaf, wandering out onto the web like deer on a freeway.” – Geoffrey Moore. We live in the age of information. And, as a business, if you use your data wisely, you stand to reap great rewards. Data brings a wealth of invaluable insights that could significantly boost the growth and evolution of your business.
Analytics Vidhya
APRIL 25, 2020
Overview Microsoft Excel is one of the most widely used tools for data analysis Learn the essential Excel functions used to analyze data for. The post 10+ Simple Yet Powerful Excel Tricks for Data Analysis appeared first on Analytics Vidhya.
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David Menninger's Analyst Perspectives
APRIL 13, 2020
Artificial intelligence (AI) and machine learning (ML) are all the rage right now. Our Machine Learning Dynamic Insights research shows that organizations are using these techniques to achieve a competitive advantage and improve both customer experiences and their bottom line. One type of analysis an organization can perform using AI and ML is predictive analytics.
O'Reilly on Data
APRIL 22, 2020
Three months ago, Apple released a new credit card in partnership with Goldman Sachs that aimed to disrupt the highly regulated world of consumer finance. However, a well-known software developer tweeted that he was given 20x the credit line offered to his wife, despite the fact that they have been filing joint tax returns and live in a community property state.
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Large enterprises face unique challenges in optimizing their Business Intelligence (BI) output due to the sheer scale and complexity of their operations. Unlike smaller organizations, where basic BI features and simple dashboards might suffice, enterprises must manage vast amounts of data from diverse sources. What are the top modern BI use cases for enterprise businesses to help you get a leg up on the competition?
Corinium
APRIL 30, 2020
Data & Coffee - Two Things That Demand The Highest Quality.
Dataiku
APRIL 22, 2020
Here at Dataiku, we frequently stress the importance of collaboration in building a successful data team. In short, successful data science and analytics are just as much about creativity as they are about crunching numbers, and creativity flourishes in a collaborative environment.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
Analytics Vidhya
APRIL 22, 2020
Overview Python is a superb language for data science but not everyone is a Python expert Here, we present 7 Python hacks that’ll help. The post 7 Python Hacks, Tips and Tricks for Data Science Projects appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 10, 2020
Artificial Intelligence (AI) is changing the way that eCommerce companies do business. AI is being implemented in systems across the eCommerce sector. From generating leads to gathering information, AI has improved multiple facets of the industry. Algorithmic bots have revolutionized customer facing services. Automated systems are the driving force behind improvements in back-end eCommerce software. eCommerce AI is a data-driven trend that allows companies to manage and analyze consumer informat
erwin
APRIL 3, 2020
Many organizations start an enterprise architecture practice without a specialized enterprise architecture tool. Instead, they rely on a blend of spreadsheets, Visio diagrams, PowerPoint files and the like. Under normal circumstances, this approach is difficult. In times of rapid change or crisis, it isn’t viable. Four Compelling Reasons for An Enterprise Architecture Tool.
DataCamp
APRIL 30, 2020
Discover whether you should learn a data science and analytics language, such as Python or R; SQL; spreadsheets; or a business intelligence tool.
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📌Is your Data & AI transformation struggling to really impact the business? Discover the game-changing StratOps approach that: Bridges the Gap : Connect your Data & AI strategy to your operating model, to ensure alignment at every level. Prioritizes Outcomes : Focuses on concrete business outcomes from day one, rather than capabilities in isolation.
DataRobot
APRIL 10, 2020
The world is going through extremely turbulent times. With the ongoing disruption of our lives, communities, and businesses from the COVID-19 pandemic, predictions from existing machine learning models trained prior to the pandemic become less reliable. There is plenty of historical data, but historical examples from before the pandemic may not provide the relevant examples needed to train a model that is useful today.
datapine
APRIL 8, 2020
Companies need to collect, store, monitor, and analyze massive volumes of data in order to manage business performance and successfully deliver profitable results. No matter if your company is small or large, there is a great chance that you’ve been using SQL as the tool to-go when it comes to managing and extracting value from your database. There is still lots of relational database management included when it comes to online data analysis and different possibilities to perform the same.
Analytics Vidhya
APRIL 16, 2020
Confusion Matrix – Not So Confusing! Have you been in a situation where you expected your machine learning model to perform really well but. The post Everything you Should Know about Confusion Matrix for Machine Learning appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 13, 2020
Big data is crucial for any organization that wants to attract and retain customers. A study by McKinsey Global Institute found that data-driven companies are 400% more likely to retain customers and 2,200% more likely to acquire new ones. Back in 2011, my colleagues and I first started discussing the evolving standards of customer service in business.
Speaker: Mike Rizzo, Founder & CEO, MarketingOps.com and Darrell Alfonso, Director of Marketing Strategy and Operations, Indeed.com
Though rarely in the spotlight, marketing operations are the backbone of the efficiency, scalability, and alignment that define top-performing marketing teams. In this exclusive webinar led by industry visionaries Mike Rizzo and Darrell Alfonso, we’re giving marketing operations the recognition they deserve! We will dive into the 7 P Model —a powerful framework designed to assess and optimize your marketing operations function.
erwin
APRIL 15, 2020
Hello from my home office! I hope you and your family are staying safe, practicing social distancing, and of course, washing your hands. These are indeed strange days. During this coronavirus emergency, we are all being deluged by data from politicians, government agencies, news outlets, social media and websites, including valid facts but also opinions and rumors.
Dataiku
APRIL 21, 2020
While medicine and treatment options for patients are constantly evolving and improving, the healthcare field as a whole grapples with seamlessly incorporating data science, machine learning, and AI into their workflows. By making AI accessible to a wider audience and equipping medical professionals with the technology and processes that ensure AI efforts are collaborative, transparent, and explainable, there is significant potential to decrease costs and improve patient outcomes.
Data Science 101
APRIL 6, 2020
Brandon Rohrer is an expert in neural networks and deep learning. Plus, he makes really excellent videos about the topic. His entire YouTube Channel is worth viewing. How Deep Neural Networks Work by Brandon Rohrer. The post Brandon Rohrer – How Deep Neural Networks Work appeared first on Data Science 101.
datapine
APRIL 3, 2020
Customer service shouldn’t just be a department, it should be the entire company.” – Tony Hsieh, CEO of Zappos. Consumers are more empowered than ever before. With access to an ever-growing number of digital touchpoints for connecting with peers, conducting research, and making all-important buying decisions, it’s up to today’s businesses to provide a level of service that is outstanding across the board.
Speaker: Jay Allardyce, Deepak Vittal, and Terrence Sheflin
As we look ahead to 2025, business intelligence and data analytics are set to play pivotal roles in shaping success. Organizations are already starting to face a host of transformative trends as the year comes to a close, including the integration of AI in data analytics, an increased emphasis on real-time data insights, and the growing importance of user experience in BI solutions.
Analytics Vidhya
APRIL 29, 2020
Overview Deploying your machine learning model is a key aspect of every ML project Learn how to use Flask to deploy a machine learning. The post How to Deploy Machine Learning Models using Flask (with Code!) appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 10, 2020
Machine learning is leading to numerous changes in the energy industry. The Department of Energy recently announced that it is taking steps to accelerate the integration of machine learning technology in energy research and development. The head of the Department of Energy announced that they will be investing $30 million in artificial intelligence and machine learning algorithms.
erwin
APRIL 9, 2020
COVID-19 has presented businesses with a new and immediate set of challenges that reinforce the need for data intelligence to inform disaster planning and business continuity. The coronavirus epidemic and its impacts are sharp and severe. And while its duration is uncertain, it is likely to permanently change the way businesses and societies function.
Dataiku
APRIL 10, 2020
The last couple of years have been anything but boring in the field of natural language processing , or NLP. With landmark breakthroughs in NLP architecture such as the attention mechanisms , a new generation of NLP models — the so-called Transformers — has been born (no, not the Michael Bay kind).
Speaker: Donna Laquidara-Carr, PhD, LEED AP, Industry Insights Research Director at Dodge Construction Network
In today’s construction market, owners, construction managers, and contractors must navigate increasing challenges, from cost management to project delays. Fortunately, digital tools now offer valuable insights to help mitigate these risks. However, the sheer volume of tools and the complexity of leveraging their data effectively can be daunting. That’s where data-driven construction comes in.
bridgei2i
APRIL 20, 2020
PODCAST: COVID 19 | Redefining Digital Enterprises. Episode 1: COVID 19 & The New Normal at Workplaces. Listening time: 13 minutes. COVID 19 & The New Normal at Workplaces. In the first episode of this series, Listen to Dhritiman Chakrabarti (DC) – an expert in HR Advisory and global consulting, talk about the implications of COVID-19 and the far-reaching effects it will have on the world, both people and enterprises.
datapine
APRIL 2, 2020
In the modern age, brands and businesses that benchmark their activities stand to gain an all-important edge on the competition. Whatever your niche or industry, working with dynamic key performance indicators (KPIs) will empower you to track and improve your performance in a number of key areas, accelerating your commercial success in the process. Without data, you will only ever be ‘shooting in the dark’ when it comes to formulating strategies and making informed decisions.
Analytics Vidhya
APRIL 2, 2020
Introduction to Feature Scaling I was recently working with a dataset that had multiple features spanning varying degrees of magnitude, range, and units. This. The post Feature Scaling for Machine Learning: Understanding the Difference Between Normalization vs. Standardization appeared first on Analytics Vidhya.
Smart Data Collective
APRIL 10, 2020
90% of all data in the world has been generated in the last two years. With that in mind, it’s not surprising that a lot of companies are struggling with structuring and making sense of the data that they have, which causes various organizational issues, as well as limits the potential growth. That’s why big data companies that can help use that data are in such high demand.
Speaker: Christophe Louvion, Chief Product & Technology Officer of NRC Health and Tony Karrer, CTO at Aggregage
Christophe Louvion, Chief Product & Technology Officer of NRC Health, is here to take us through how he guided his company's recent experience of getting from concept to launch and sales of products within 90 days. In this exclusive webinar, Christophe will cover key aspects of his journey, including: LLM Development & Quick Wins 🤖 Understand how LLMs differ from traditional software, identifying opportunities for rapid development and deployment.
erwin
APRIL 30, 2020
Having an enterprise architecture roadmap is essential in modern business. Without it, understanding the current and desired future state can be difficult. An enterprise architecture roadmap does not have to be in contrast with efforts to promote an agile enterprise architecture. The focus of innovation and agile EA is to increase the agility of the business for digital transformation.
Dataiku
APRIL 15, 2020
Statistics can be tremendously beneficial for data scientists, both those that are new to the field and those who have been practicing for a number of years. In fact, a large portion of data scientists are former statisticians. Statistics, or the practice of using mathematics to analyze, interpret, and present data, allows us to leverage data — a critical element to any impactful machine learning model — in a deeper, more concrete way.
Teradata
APRIL 6, 2020
By fully utilizing the data for telco operators in China, Teradata helped communities battle the COVID-19 epidemic through ongoing public health communication, travel updates and inquiries.
Paul Blogs on BI
APRIL 22, 2020
I have always been a huge fan of Ancient Egypt and the inside of my house has been likened to the Cairo Museum. I had been thinking for a while if there was a way to marry my passion for Ancient Egypt with my passion for Business Intelligence and about two years ago, an opportunity presented itself. I was introduced to Dr. Leslie Warden, an Egyptologist and professor at Roanoke College who specialized in the Old Kingdom and ceramics.
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The complexity of financial data, the need for real-time insight, and the demand for user-friendly visualizations can seem daunting when it comes to analytics - but there is an easier way. With Logi Symphony, we aim to turn these challenges into opportunities. Our platform empowers you to seamlessly integrate advanced data analytics, generative AI, data visualization, and pixel-perfect reporting into your applications, transforming raw data into actionable insights.
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