Cloudera
APRIL 19, 2022
Data holds incredible untapped potential for Australian organisations across industries, regardless of individual business goals, and all organisations are at different points in their data transformation journey with some achieving success faster than others. . To be successful, the use of data insights must become a central lifeforce throughout an organisation and not just reside within the confines of the IT team.
CIO Business Intelligence
APRIL 18, 2022
Organizations that continued full speed ahead with their digital transformation initiatives during the COVID-19 pandemic are able to ruminate on what went right and what they would have done differently, with the benefit of hindsight. Some of what they’ve gleaned comes as no surprise: A successful digital transformation requires executive buy-in, constant communication with business units, and of course, financial commitment.
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Analytics Vidhya
APRIL 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Congratulations, you have deployed a model to production; it is an achievement for you and your team! In a normal software engineering development cycle, you would now sit back and relax; however, in the machine learning development cycle, deployment to production is just about […].
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.
datapine
APRIL 21, 2022
Digital transformation is a broad term that is difficult to define precisely. Think of digital transformation as a way to future-proof a business. But, you can consider it a change in the business activities to prioritize your business’s digital presence. Various industries and departments use this phrase in different ways. For instance, when it comes to Human Resources, a digital transformation entails streamlining operations and digitizing personnel data.
KDnuggets
APRIL 21, 2022
Understanding the fundamentals of statistics is a core capability for becoming a Data Scientist. Review these essential ideas that will be pervasive in your work and raise your expertise in the field.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
CIO Business Intelligence
APRIL 21, 2022
The world of marketing is awash in data. The solution? Embrace a customer data platform. Or at least some companies say. A customer data platform (CDP) is a software system that pulls together data from a wide array of sources — such as websites, ecommerce and ad platforms, social media applications, retail software, and more — to create a centralized customer database, as well as detailed profiles of each customer.
Smart Data Collective
APRIL 20, 2022
Errors in data entry might have serious effects if they are not discovered quickly. Human mistake is the most common cause of data entry errors. Since typical data entry errors may be minimized with the right steps, there are numerous data lineage tool strategies that a corporation can follow. The steps organizations can take to reduce mistakes in their firm for a smooth process of business activities will be discussed in this blog.
KDnuggets
APRIL 21, 2022
I have a list of Machine Learning books you need to read in 2022; beginner, intermediate, expert, and for everybody.
Analytics Vidhya
APRIL 16, 2022
This article was published as a part of the Data Science Blogathon. Introduction Selling old stuff had always been a hassle in earlier times. No matter how good an item might have been, finding a buyer and getting the appropriate Market price was always a challenge. One was only able to sell items within a […]. The post Determining the Market Price of Old Vehicles Using Python appeared first on Analytics Vidhya.
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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?
CIO Business Intelligence
APRIL 21, 2022
Every successful executive operates from their own leadership playbook: the lessons, philosophies and experiences that have shaped their careers and continue to guide their decisions and actions. These are the elements that remain rock-solid and foundational to their success—even in the face of unanticipated events and massive disruption. But business-driven technology leaders also recognize that what got them and their companies where they are today won’t win the day going forward.
Cloudera
APRIL 22, 2022
This blog post was written by Dean Bubley , industry analyst, as a guest author for Cloudera. . Communications service providers (CSPs) are rethinking their approach to enterprise services in the era of advanced wireless connectivity and 5G networks, as well as with the continuing maturity of fibre and Software-Defined Wide Area Network (SD-WAN) portfolios. .
KDnuggets
APRIL 19, 2022
Approaches to data sampling, modeling, and analysis can vary based on the distribution of your data, and so determining the best fit theoretical distribution can be an essential step in your data exploration process.
Analytics Vidhya
APRIL 17, 2022
This article was published as a part of the Machine Learning. Introduction This article is about predicting SONAR rocks against Mines with the help of Machine Learning. SONAR is an abbreviated form of Sound Navigation and Ranging. It uses sound waves to detect objects underwater. Machine learning-based tactics, and deep learning-based approaches have applications in […].
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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.
CIO Business Intelligence
APRIL 21, 2022
Successful companies today are lean, agile organizations with executives who have a vision and a mindset that empowers collaboration so employees can achieve that vision. Rapidly responding to dynamic market demands without compromising quality is required for survival. Achieving business transformation and agility requires commitment from leadership at the very top of an organization, including C-suite, business and technology leaders.
Smart Data Collective
APRIL 21, 2022
We have pointed out in the past that big data offers a number of benefits for online commerce. One of the most important benefits of data analytics pertains to optimizing websites for a good user experience. User experience optimization (UX) is becoming more important than ever. One study found that the ROI of UX strategies is 9,900%. As more companies realize the importance of offering a stellar web experience, they will invest in big data as part of their UX strategies.
KDnuggets
APRIL 18, 2022
In this article, you will learn to deploy a fully functional ML web application in under 3 minutes.
Analytics Vidhya
APRIL 19, 2022
Dear Readers, We are back with another episode of our flagship learning series on data analytics, “The DataHour”. In this edition, Dr. Shantha Mohan, Mentor and Project Guide at Carnegie Mellon University’s Integrated Innovation Institute, will guide you through “Artificial Intelligence in Retail” applications. Machine learning plays a vital role in Retail Management, primarily due […].
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.
CIO Business Intelligence
APRIL 22, 2022
What is data science? Data science is a method for gleaning insights from structured and unstructured data using approaches ranging from statistical analysis to machine learning. For most organizations, it is employed to transform data into value in the form of improved revenue, reduced costs, business agility, improved customer experience, the development of new products, and the like.
Smart Data Collective
APRIL 20, 2022
Amazon is without a doubt the largest retailer in the world. More businesses than ever are turning to Amazon to expand their reach. Unfortunately, the Amazon marketplace has become extraordinarily competitive in recent years. Companies that utilize data analytics to make the most of their business model will have an easier time succeeding with Amazon.
KDnuggets
APRIL 18, 2022
YouTube has become an important element in people's self-development and increase of knowledge. Check out this list of YouTube channels that offer Data Science learning.
Analytics Vidhya
APRIL 19, 2022
This article was published as a part of the Data Science Blogathon. Introduction In today’s data-driven world, organisations work with massive datasets and leverage some aspects of this data for their day-to-day operations. Data professionals in such companies prefer to have small partitions of data as it allows them to analyse and manipulate information without any hassle. […].
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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.
CIO Business Intelligence
APRIL 20, 2022
Crafting a successful IT career that keeps you engaged, satisfied, and growing is a balancing act. Stay too long with one technology — or one job — and the industry may shift without you realizing it. Take on too much and your team and your own well-being will suffer. So what’s the best way to lay a foundation for a career that’s challenging and rewarding, amid the day-to-day project demands and workplace stress?
Smart Data Collective
APRIL 22, 2022
Data protection is becoming more important than ever. The risk of cyberattacks has risen sharply, as more people are working from home even as the pandemic subsides. A recent report showed data breaches jumped 68% in 2021 to the highest level ever. That figure is likely to rise even more in the coming months. One of the most unusual consequences of the war in Ukraine is the increased cybersecurity risk, with one report suggesting that Russia is preparing to launch destructive attacks on the US a
KDnuggets
APRIL 19, 2022
Let's take a look at what goes into creating a foundation for enterprise-wide data intelligence and how AI and ML can permanently transform data integration.
Analytics Vidhya
APRIL 20, 2022
This article was published as a part of the Data Science Blogathon. Introduction Modern applications and products deal with large amounts of data. The quantity of data being processed and utilised in modern times is enormous. So, the question arises? How to manage large files and data. Data size soon outgrows a machine’s storage limit […].
Speaker: Jay Allardyce, Deepak Vittal, Terrence Sheflin, and Mahyar Ghasemali
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.
CIO Business Intelligence
APRIL 20, 2022
Huawei, the Chinese telecoms giant, is a key provider of telecoms and cloud infrastructure throughout the world. Huawei has also long been suspected of allowing the Chinese government to use its equipment to spy on foreign governments and companies , which Huawei has always denied. As a result, it faces bans and sanctions in much of the West, to the point that Huawei’s earnings plummeted in 2021, forcing a change in business strategy that seeks new markets where such fears are harder to realise
Smart Data Collective
APRIL 19, 2022
Data mining technology has become very important for modern businesses. Companies use data mining technology for a variety of purposes. One of the most important is collecting revenue data to draft financial statements, forecast future sales and make decisions to address revenue shortfalls. These factors are why companies will spend over $12 billion on data analytics for marketing solutions by 2027.
KDnuggets
APRIL 21, 2022
This post will look at building a modular ETL pipeline that transforms data with SQL and visualizes it with Python and R.
Analytics Vidhya
APRIL 21, 2022
This article was published as a part of the Data Science Blogathon. Introduction In this article, we will be getting our hands dirty with PySpark using Python and understand how to get started with data preprocessing using PySpark. This particular article’s whole attention is to get to know how PySpark can help in the data cleaning process […].
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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