Analytics Vidhya
AUGUST 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction 2.5 quintillion bytes of data are produced every day! Consider how much we can deduce from that and what conclusions we can draw. Wait! But, how do we deal with such a massive amount of data? Not to worry; the Pandas library […]. The post The Ultimate Guide To Pandas For Data Science!
O'Reilly on Data
AUGUST 9, 2022
In a previous article , I wrote about how models like DALL-E and Imagen disassociate ideas from technique. In the past, if you had a good idea in any field, you could only realize that idea if you had the craftsmanship and technique to back it up. With DALL-E, that’s no longer true. You can say, “Make me a picture of a lion attacking a horse,” and it will happily generate one.
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David Menninger's Analyst Perspectives
AUGUST 11, 2022
The analytics and business intelligence market landscape continues to grow as more organizations seek robust tools and capabilities to visualize and better understand data. BI systems are used to perform data analysis, identify market trends and opportunities and streamline business processes. They can collect and combine data from internal and external systems to present a holistic view.
KDnuggets
AUGUST 12, 2022
Do you feel overwhelmed by the sheer number of ideas that you could try while building a machine learning pipeline? You can not take the liberty of trying all possible ways to arrive at a solution - hence we discuss the importance of experiment design in data science projects.
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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?
Analytics Vidhya
AUGUST 6, 2022
Introduction Image processing is a widely used concept to exploit the information from the images. Image processing algorithms take a long time to process the data because of the large images and the amount of information available in it. So, in these edge-cutting techniques, it is necessary to reduce the amount of information that the […]. The post Comprehensive Guide to Edge Detection Algorithms appeared first on Analytics Vidhya.
CIO Business Intelligence
AUGUST 9, 2022
What is a data engineer? Data engineers design, build, and optimize systems for data collection, storage, access, and analytics at scale. They create data pipelines used by data scientists, data-centric applications, and other data consumers. This IT role requires a significant set of technical skills, including deep knowledge of SQL database design and multiple programming languages.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
AUGUST 12, 2022
Increasing accuracy in your models is often obtained through the first steps of data transformations. This guide explains the difference between the key feature scaling methods of standardization and normalization, and demonstrates when and how to apply each approach.
Analytics Vidhya
AUGUST 9, 2022
This article was published as a part of the Data Science Blogathon. Introduction to Minerva [link] Google presented Minerva; a neural network created in-house that can break calculation questions and take on other delicate areas like quantitative reasoning. The model for natural language processing is called Minerva. Recently, experimenters have developed a very sophisticated natural language […].
Juice Analytics
AUGUST 8, 2022
I’m a Wordle obsessive. Which is to say, every morning I find myself staring deep into my coffee in search of an elusive 5-letter word. The New York Times (who bought the word game from software developer Josh Wardle for $3 million) knows their audience. We may be playing with words, but the analytical nature of this game is the appeal. It is a game of odds and mathematical deduction as we try to reduce the potential options available.
Smart Data Collective
AUGUST 11, 2022
Data analytics technology has become very important for helping companies manage their financial strategies. Companies are projected to spend nearly $12 billion on financial analytics services by 2028. There are many great benefits of using data analytics to improve financial management strategies. Many investors are using data analytics to invest in stocks.
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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.
KDnuggets
AUGUST 8, 2022
Microsoft has put together an AI course for beginners, consisting of a 12 week, 24 lesson curriculum, available for free to all.
Analytics Vidhya
AUGUST 11, 2022
This article was published as a part of the Data Science Blogathon. Introduction [link] Apache Airflow platform for automating workflows’ creation, scheduling, and mirroring. Not only is it free and open source, but it also helps create and organize complex data channels. A data channel platform […]. The post Apache Airflow Essential Guide appeared first on Analytics Vidhya.
CIO Business Intelligence
AUGUST 12, 2022
With its business rapidly growing and customer expectations rising, Thermo Fisher Scientific is turning to machine learning and robotic process automation (RPA) to transform the customer experience. Formed from the merger of Thermo Electron and Fisher Scientific in 2006, Thermo Fisher Scientific is one of the world’s largest suppliers of scientific instruments, reagents, and services, with more than 130,000 employees worldwide.
Smart Data Collective
AUGUST 11, 2022
When data security within apps is discussed, most people think of WAF. However, a web application firewall is limited. A trusted security tool focuses on the traffic going in and out without considering what happens to sensitive information circulating inside the application. In cybersecurity, this creates a major blind spot that could result in a data breach.
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.
KDnuggets
AUGUST 8, 2022
Most In-demand Artificial Intelligence Skills To Learn In 2022 • The 5 Hardest Things to Do in SQL • 10 Most Used Tableau Functions • Decision Trees vs Random Forests, Explained • Decision Tree Algorithm, Explained.
Analytics Vidhya
AUGUST 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction Data is compelling and critical for businesses to generate actionable and valuable insights only when used correctly. In addition, it is also essential to analyze and organize it well. However, only a few business data are analyzed and stored appropriately. Source: [link] […].
CIO Business Intelligence
AUGUST 9, 2022
In business, data science and artificial intelligence are usually geared towards powerful efficiencies and growth. User trust is often overlooked. This can quickly morph into a major problem, particularly when AI is introduced to support strategic choices. Data science and AI teams focus constantly on methodology and accuracy. This is critical, ensuring algorithms deliver valuable insights, analytics and support increased automation.
Smart Data Collective
AUGUST 9, 2022
The risk of data breaches is rising sharply. The number increased 56% between 2017 and 2018. Fortunately, new technology can help enhance cybersecurity. Big data technology is becoming more important in the field of cybersecurity. Cybersecurity experts are using data analytics and AI to identify warning signs that a firewall has been penetrated, conduct risk scoring analyses and perform automated cybersecurity measures.
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.
KDnuggets
AUGUST 11, 2022
Hyperparameter tuning is about finding a set of optimal hyperparameter values which maximizes the model's performance, minimizes loss, and produces better outputs.
Analytics Vidhya
AUGUST 7, 2022
Introduction Blockchain ecosystem has enabled us with a new way of perceiving, storing, and sharing data based on the concept of peer-to-peer technologies. Blockchain gained popularity in the last decade for developing cryptocurrency exchanges, maintaining a foolproof medical history of patients, and immutable education records. To get future-ready and develop an understanding of blockchain, it […].
CIO Business Intelligence
AUGUST 11, 2022
The true long-term effects of the COVID-19 pandemic on consumer shopping habits won’t truly be understood for years, but its effect on digital transformation is immediately evident. What we know for certain is that consumers and business buyers expect lightning-fast digital experiences, available on any content device, and the experience has to mirror the ease of doing business that leading brands, like Netflix and Target, delivered during the lockdown.
Smart Data Collective
AUGUST 9, 2022
We previously mentioned that AI has helped make bitcoin mining more popular in the UK. However, developing economies also benefit from AI as they invest more in cryptocurrencies. Djibouti is a country in Africa that is starting to become more dependent on artificial intelligence technology. A 2018 report by UNESCO shows that AI technology is transforming the continent and Djibouti is among the countries benefiting.
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.
KDnuggets
AUGUST 11, 2022
“AI for Ukraine” is a series of workshops and lectures held by international artificial intelligence experts to support the development of Ukraine’s tech community during the war. This is a non-commercial educational project by AI HOUSE – a company focused on building the AI/ML community in Ukraine and is part of the Roosh tech ecosystem.
Analytics Vidhya
AUGUST 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction Logos, also known as trademarks, are critical to a firm. Each firm has its unique logo that contributes to the company’s public perception. From the toothpaste we use to the slippers we wear, logos surround us in our day-to-day life. “It’s a […]. The post LOGOS: A Brand Independent logo detection model appeared first on Analytics Vidhya.
Jet Global
AUGUST 11, 2022
Dundas BI platform will be integrated with insightsoftware’s Logi solutions, strengthening self-service data analytics and visualization. RALEIGH, N.C. – August 11, 2022 – insightsoftware , a global provider of reporting, analytics, and performance management solutions, today announced it has acquired Dundas Data Visualization, Inc. , a Toronto-based business intelligence (BI), analytics, and data visualization platform.
Smart Data Collective
AUGUST 8, 2022
Slightly more than a decade ago, artificial intelligence (AI) was famously used in the manufacturing industry through robots. You could use these robots in warehouses to ease product handling. However, AI and related machine learning have extended to the online space. If you’ve been monitoring your eCommerce shop using human agents, you’ll likely get overwhelmed if your shop grows exponentially.
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.
KDnuggets
AUGUST 11, 2022
Let’s have a look at some of the key tech trends on the horizon right now.
Analytics Vidhya
AUGUST 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction You can access your Azure Data Lake Storage Gen1 directly with the RapidMiner Studio. This is the feature offered by the Azure Data Lake Storage connector. It supports both reading and writing operations. You can also read from a set of files […]. The post Connecting and Reading Data From Azure Data Lake appeared first on Analytics Vidhya.
CIO Business Intelligence
AUGUST 11, 2022
It’s difficult to justify the need for enterprise composability when things are business as usual. Employees travel to the office. Contact center agents take calls. Businesses operate the same as they have for years or even decades. It was only until the unthinkable happened that organizations were forced to rethink everything they do and how. Brands across every industry had to rapidly accelerate efforts to improve communication and collaboration to modernize operations, enhance customer engage
Smart Data Collective
AUGUST 9, 2022
Big data technology is a double-edged sword for many companies. They are discovering that there are countless benefits of investing in data in business. Unfortunately, making use of big data is a challenge for many companies. They have accumulated large amounts of data, but struggle to analyze it. Only around 12% of their data is properly analyzed. The issue is that it is difficult to manage data without the right infrastructure.
Speaker: Jesse Simms, VP at Giant Partners
This new, thought-provoking webinar will explore how even incremental efforts and investments in your data can have a tremendous impact on your direct mail and multi-channel marketing campaign results! Industry expert Jesse Simms, VP at Giant Partners, will share real-life case studies and best practices from client direct mail and digital campaigns where data modeling strategies pinpointed audience members, increasing their propensity to respond – and buy.
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