Analytics Vidhya
JUNE 6, 2022
This article was published as a part of the Data Science Blogathon. Image source: [link] Introduction In this article, we study the “Character region Awareness for Text Detection” model by Clova AI research, Naver Corp. The deep learning-based model provides scene text detection or bounding boxes of text in an image. These bounding boxes can […].
CIO Business Intelligence
JUNE 6, 2022
As CIO of an organization with a global reach, Bob Johnson keeps careful watch on the world’s economic situation. “Whenever there is an ill wind anywhere in the world, it affects us,” says Johnson, CIO of The American University of Paris. It’s not surprising then that he’s already feeling the impact of inflation: With costs going up, Johnson says he’s concerned his IT budget won’t cover all the work it was meant to fund.
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O'Reilly on Data
JUNE 7, 2022
DeepMind’s new model, Gato, has sparked a debate on whether artificial general intelligence (AGI) is nearer–almost at hand–just a matter of scale. Gato is a model that can solve multiple unrelated problems: it can play a large number of different games, label images, chat, operate a robot, and more. Not so many years ago, one problem with AI was that AI systems were only good at one thing.
David Menninger's Analyst Perspectives
JUNE 10, 2022
Organizations are scaling business intelligence initiatives to gain a competitive advantage and increase revenue as more data is created. Lack of expertise, data governance and slow performance can impact these efforts. Our Analytics and Data Benchmark Research finds some of the most pressing complaints about analytics and BI include difficulty integrating with other business processes and flexibility issues.
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Many software teams have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth. This is where Coder comes in. In our 101 Coder webinar, you’ll explore how cloud-based development environments can unlock new levels of productivity. Discover how to transition from local setups to a secure, cloud-powered ecosystem with ease.
Analytics Vidhya
JUNE 4, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Networking Predictions The last two years were challenging for the whole world. Everything was affected, from business, and government to the economy. Considering network security and privacy, the hybrid working model brings new doubts to mind. In the last two years, […].
KDnuggets
JUNE 6, 2022
Learn to train and track your experiments, create ML pipelines, model deployment, monitor the performance in production, and adopt best practices from DevOps.
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
JUNE 10, 2022
Are you interested in a career in data science? This is the best time ever to pursue this career track. The Bureau of Labor Statistics reports that there are over 105,000 data scientists in the United States. The average data scientist earns over $108,000 a year. The interdisciplinary field of data science involves using processes, algorithms, and systems to extract knowledge and insights from both structured and unstructured data and then applying the knowledge gained from that data across a wi
Analytics Vidhya
JUNE 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Restaurant Recommender This case study covers a very important business problem which is recommender systems. as we are in rapid consumption of content and commodities ordered by online delivery apps. Challenges for these apps increase as they always want to keep […].
KDnuggets
JUNE 6, 2022
You can't avoid learning Python if you work on machine learning problems. You need to know what other people's code means and you need to convey your ideas to them too.
CIO Business Intelligence
JUNE 9, 2022
A data management platform (DMP) is a group of tools designed to help organizations collect and manage data from a wide array of sources and to create reports that help explain what is happening in those data streams. Deploying a DMP can be a great way for companies to navigate a business world dominated by data. The name “data management platform” can be confusing because it comes across as a generalized product that works with all forms of data for all types of data scientists.
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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?
Depict Data Studio
JUNE 6, 2022
I registered for the Simple Spreadsheets course because I was a beginner with using Excel and I knew I was utilizing only a fraction of its capabilities. I also had the good fortune of attending some of Ann’s in-person presentations about data visualization at a conference for Continuous Quality Improvement hosted by the California Department of Social Services, which had an unquantifiable impact on the personal project I will be sharing with you today.
Analytics Vidhya
JUNE 8, 2022
Introduction What is it about football that distinguishes it from all other sports played worldwide? The game’s obsession has caused its appeal to the public. When major tournaments like FIFA World Cup qualifications, Premier League and Copa Libertadores are held, fans never miss a match. As a result, your chances of betting on these sports […].
KDnuggets
JUNE 10, 2022
This article aims to quickly cover the similarities and differences between NLP, NLU, and NLG and talk about what the future for NLP holds.
CIO Business Intelligence
JUNE 7, 2022
What is data analytics? Data analytics is a discipline focused on extracting insights from data. It comprises the processes, tools and techniques of data analysis and management, including the collection, organization, and storage of data. The chief aim of data analytics is to apply statistical analysis and technologies on data to find trends and solve problems.
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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.
Cloudera
JUNE 7, 2022
We live in a hybrid data world. In the past decade, the amount of structured data created, captured, copied, and consumed globally has grown from less than 1 ZB in 2011 to nearly 14 ZB in 2020. Impressive, but dwarfed by the amount of unstructured data, cloud data, and machine data – another 50 ZB. In fact, the total amount of data is expected to nearly triple by 2025.
Analytics Vidhya
JUNE 10, 2022
This article was published as a part of the Data Science Blogathon. Introduction on PyScript.js It is a front-end framework that enables the use of Python in the browser. It is developed using Emscripten, Pyodide, WASM, and other modern web technologies. Using Python in the browser does not mean that it can replace Javascript. But […]. The post Make Amazing Data Science Projects using PyScript.js appeared first on Analytics Vidhya.
KDnuggets
JUNE 10, 2022
This article gives you a glimpse of how to approach a machine learning project with a clear outline of an easy-to-implement 5-step process.
CIO Business Intelligence
JUNE 8, 2022
Tumultuous times redefine what constitutes success. The past few years in IT have exemplified this. Digital disruption, global pandemic, geopolitical crises, economic uncertainty — volatility has thrown into question time-honored beliefs about how best to lead IT. Consider this moment as a call to reflect and reset — a chance to glean from your recent experiences what it will take to lead a successful IT organization over the next decade, one that will see technology increasingly at the center o
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.
Cloudera
JUNE 10, 2022
Here at Cloudera, we’re committed to helping make the lives of data practitioners as painless as possible. For data scientists, we continue to provide new Applied Machine Learning Prototypes (AMPs), which are open source and available on GitHub. These pre-built reference examples are complete end-to-end data science projects. In Cloudera Machine Learning (CML), you can deploy them with the single click of a button, bringing data scientists that much closer to providing value.
Analytics Vidhya
JUNE 5, 2022
This article was published as a part of the Data Science Blogathon. Introduction on Compute Engine Compute Engine is computing and hosting service that lets you create and run virtual machines on Google infrastructure. It provides an IaaS (Infrastructure-as-a-Service) that allows clients to run their applications on Google’s physical hardware instead of their own hardware […].
KDnuggets
JUNE 8, 2022
How about we take a closer look at data mining and machine learning so we know how to catch their different ends?
CIO Business Intelligence
JUNE 10, 2022
IBM was among the first companies to help shape the parameters of the IT department and the ever-evolving role of CIO, and IBM CIO Kathryn Guarini has had a front row seat to watch the role change throughout her 22-year career with the company. Prior to becoming CIO last year, Guarini was COO of the IBM Research Division, arming her with extensive experience working with emerging technology and other innovations coming from IBM.
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Cloud Development Environments (CDEs) are changing how software teams work by moving development to the cloud. Our Cloud Development Environment Adoption Report gathers insights from 223 developers and business leaders, uncovering key trends in CDE adoption. With 66% of large organizations already using CDEs, these platforms are quickly becoming essential to modern development practices.
Data Science and Beyond
JUNE 5, 2022
Discussing my recent career move into climate tech as a way of doing more to help mitigate dangerous climate change.
Analytics Vidhya
JUNE 6, 2022
This article was published as a part of the Data Science Blogathon. Introduction In a Technological Era, application security is becoming a much more important concept. In a security principle, we may heard the importance of authorization. Unauthorized access to data can potentially cost a high amount of money. Even rather than money, there […].
KDnuggets
JUNE 7, 2022
Also: Decision Tree Algorithm, Explained; How to Become a Machine Learning Engineer; The Complete Collection of Data Science Books – Part 2; 15 Python Coding Interview Questions You Must Know For Data Science.
CIO Business Intelligence
JUNE 10, 2022
We humans are a funny lot. How quickly we go from being humbled by the improbable feat of human flight to being irritated by how long it takes at the airport. We are routinely antagonized by traffic, but only occasionally amazed by the existence of a thing called an automobile. One of the most prominent examples of recent human achievement is what we call a programming language.
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.
Cloudera
JUNE 8, 2022
In this #ClouderaLife Spotlight Hassan talks about three life themes that have kept him moving and motivated: learning from his father’s work ethic despite his family’s forcible displacement from their country of origin, his early experience with organized sports, and the value of mentorship. Hassan describes how these experiences led him to give back to his family and community by becoming a Mental Health First Aider and a mentor for refugees seeking a better life.
Analytics Vidhya
JUNE 6, 2022
This article was published as a part of the Data Science Blogathon. MongoDB is a type of NoSQL database which is open-sourced and widely used in data science and machine learning in form of a database. Hence, knowledge of it is important in the long run, especially in the field of data science and analytics. […]. The post A Complete Guide on Using MongoDB appeared first on Analytics Vidhya.
KDnuggets
JUNE 9, 2022
Most data science problems boil down to finding the mathematical function that describes the relationship between feature and target variables.
CIO Business Intelligence
JUNE 9, 2022
By Milan Shetti, CEO Rocket Software. In today’s hiring climate, the premium on attracting and retaining technical talent is steep. As more organizations look to digitally transform, the need for technical talent has increased. In fact, the U.S. Bureau of Labor Statistics estimates the demand for computer and information technology jobs will grow 13% from 2020 to 2030, adding 667,000 more tech jobs in that timeframe.
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.
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