David Menninger's Analyst Perspectives
NOVEMBER 16, 2022
If you’ve ever been to London, you are probably familiar with the announcements on the London Underground to “mind the gap” between the trains and the platform. I suggest we also need to mind the gap between data and analytics. These worlds are often disconnected in organizations and, as a result, it limits their effectiveness and agility.
CIO Business Intelligence
NOVEMBER 17, 2022
By Milan Shetti, CEO Rocket Software In today’s fast-paced digital business world, organizations have become highly adaptive and agile to keep up with the ever-evolving demands of consumers and the market. This has pushed many organizations to accelerate their digital transformation efforts in order to remain competitive and better serve their constituents — and there is no sign of slowing down.
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Analytics Vidhya
NOVEMBER 15, 2022
This article was published as a part of the Data Science Blogathon. Introduction Hierarchical clustering is one of the most famous clustering techniques used in unsupervised machine learning. K-means and hierarchical clustering are the two most popular and effective clustering algorithms. The working mechanism they apply in the backend allows them to provide such a […].
KDnuggets
NOVEMBER 18, 2022
The Pandas library is core to any Data Science work in Python. This introduction will walk you through the basics of data manipulating, and features many of Pandas important features.
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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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
NOVEMBER 15, 2022
Table of Contents. 1) What Are Product Metrics? 2) Types Of Product Metrics. 3) Product Metrics Examples You Can Use. 4) Product Metrics Framework. Managing to develop an effective product roadmap goes beyond a product manager’s (PM) vision or intuition, even if these aspects matter as well. In an increasingly data-driven business world, the product management field isn’t exempt from this need.
CIO Business Intelligence
NOVEMBER 14, 2022
Decision support systems definition A decision support system (DSS) is an interactive information system that analyzes large volumes of data for informing business decisions. A DSS supports the management, operations, and planning levels of an organization in making better decisions by assessing the significance of uncertainties and the tradeoffs involved in making one decision over another.
Data Leaders Brief brings together the best content for data, strategy, and BI professionals from the widest variety of industry thought leaders.
KDnuggets
NOVEMBER 16, 2022
While different ways to learn Data Science for the first time exist, the approach that works for you should be based on how you learn best. One powerful method is to evolve your learning from simple practice into complex foundations, as outlined in this learning path recommended by a physicist who turned into a Data Scientist.
DataKitchen
NOVEMBER 18, 2022
Part 3: Considering the Elements of Data Journeys. This is the third post in DataKitchen’s four-part series on DataOps Observability. Observability is a methodology for providing visibility of every journey that data takes from source to customer value across every tool, environment, data store, team, and customer so that problems are detected and addressed immediately.
CIO Business Intelligence
NOVEMBER 15, 2022
During the opening keynote at the recent Gartner IT Symposium in Barcelona, Gartner analysts said that CIOs should look to its latest moniker, IT for sustainable growth , to drive business transformation by focusing on three key strategies: ‘revolutionary work’ to empower the workforce, ‘responsible investment’ to balance financial and sustainability objectives, and ‘resilient cybersecurity’ to support business outcomes “without constraining them”.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon Introduction In this article, we will discuss DevOps, two phases of DevOps, its advantages, and why we need DevOps along with CI and CD Pipelines. Before DevOps, software development teams, quality assurance (QA) teams, security, and operations would test the code for several […].
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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?
KDnuggets
NOVEMBER 16, 2022
Knowing git is no longer an option for data professionals. Grab this handy reference sheet now and make sure you know how to git the job done.
DataKitchen
NOVEMBER 18, 2022
. Question: What is the difference between Data Quality and Observability in DataOps? Data Quality is static. It is the measure of data sets at any point in time. Data Observability is dynamic — it is the testing of data, integrated data, and tools acting upon data — as it is processed — that checks for flow rates and data errors.
CIO Business Intelligence
NOVEMBER 16, 2022
As a household name in household goods, with annual sales of $22 billion, Whirlpool has 54 manufacturing and tech research centers worldwide, and bursts with a portfolio that includes several familiar brands including KitchenAid, Maytag, Amana, Yummly, among others. The company employs 69,000 around the world as well and Danielle Brown, the company’s SVP and CIO, has a unique perspective on how best to lead the company’s digital transformation strategy.
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Flutter where F stands for Front- end, L stands for Language, U stands for UI layout, T stands for Time, T stands for Tools, E stands for Enable, and R stands for Rich. In other words, Flutter is a tool used in […]. The post Building Our Applications Using Flutter appeared first on Analytics Vidhya.
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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
NOVEMBER 16, 2022
Based on the recent discussions with dozens of Fortune 500 data science teams, we can expect to see a continued spotlight on AI model quality in 2023.
Smart Data Collective
NOVEMBER 14, 2022
AI technology has radically changed the future of many industries and is changing the way companies do business forever. Most of the discussions on the benefits of AI focus on helping traditional businesses boost their bottom line. In our capitalist economy, this is not surprising. However, AI also offers many benefits for nonprofits. Dr. Lobna Karoui of the Forbes Nonprofit Council wrote an article on the many excellent benefits of AI.
CIO Business Intelligence
NOVEMBER 17, 2022
As companies start to adapt data-first strategies, the role of chief data officer is becoming increasingly important, especially as businesses seek to capitalize on data to gain a competitive advantage. A role historically focused on data governance and compliance, the scope of responsibilities for CDOs has since grown, pushing them to become strategic business leaders , according to data from IDC.
Analytics Vidhya
NOVEMBER 18, 2022
This article was published as a part of the Data Science Blogathon. Deep Learning Overview Deep Learning is a subset of Machine Learning. Deep Learning is established on Artificial Neural Networks to mimic the human brain. In deep learning, we add several hidden layers to gather the most minute details to learn the data for […]. The post Analyzing and Comparing Deep Learning Models appeared first on Analytics Vidhya.
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
NOVEMBER 18, 2022
Read research papers on neural models, word embedding, language modeling, and attention & transformers.
Smart Data Collective
NOVEMBER 15, 2022
The COVID-19 pandemic fundamentally altered the marketing landscape , and in many ways for the better. While live streaming and video marketing have long been a part of a marketers toolkit, the prolonged lockdowns, social distancing, and travel bans over the course of the pandemic helped thrust it into the limelight, resulting in widespread adoption and since making it indispensable for business. .
CIO Business Intelligence
NOVEMBER 15, 2022
By Milan Shetti, CEO Rocket Software In today’s digital world, technology can make or break a company’s outcomes for its customers. As a result, all companies that use technology to meet or solve customer needs should consider themselves a tech company. In order to meet ever-changing customer demands, it’s critical that companies understand why and how to successfully modernize their tech stacks in order to provide a top-notch customer experience.
Analytics Vidhya
NOVEMBER 17, 2022
This article was published as a part of the Data Science Blogathon. Source: Canva Introduction Competitive Deep Learning models rely on a wealth of training data, computing resources, and time. However, there are many tasks for which we don’t have enough labeled data at our disposal. Moreover, the need for running deep learning models on […].
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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.
KDnuggets
NOVEMBER 18, 2022
The post explains all the key elements of SQL that you must know as a data science practitioner.
Smart Data Collective
NOVEMBER 15, 2022
Cloud technology is becoming more essential for modern organizations with each passing day. A report by Gartner shows that cloud technology has transformed modern business in previously unimaginable ways. The report indicated that 75% of organizations using the cloud have a “cloud first” policy, which is a much higher figure than previous versions of the report indicated.
CIO Business Intelligence
NOVEMBER 17, 2022
As CIO at The Hut Group (THG), the British ecommerce firm behind such brands as Lookfantastic and Myprotein, Joanna Drake has been navigating some serious headwinds. Responsible for global operations and technology services across company and customer websites, staff technology, and THG’s direct-to-consumer Ingenuity service and hosting business, Drake has looked to support the rapid growth of the Manchester-based firm through IPO, a global pandemic, supply chain instability, and the onset of re
Analytics Vidhya
NOVEMBER 14, 2022
This article was published as a part of the Data Science Blogathon. Introduction Until now, we have seen two different approaches to state space search. i.e., Uninformed Search and Informed Search Strategies. These search strategies compute the path to the goal state from the initial state. A* Search Strategy is one of the best strategies […].
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.
KDnuggets
NOVEMBER 14, 2022
In this post, you will learn to clarify business problems & constraints, understand problem statements, select evaluation metrics, overcome technical challenges, and design high-level systems.
Smart Data Collective
NOVEMBER 12, 2022
Data has unquestionably had a huge impact on our lives. It is becoming more prolific as well, as 2.5 quintillion bytes of data are generated every day. Data is everything in today’s tech-driven world. Every company collects data , analyzes it, and makes its marketing and sales strategies based on the data’s results to attract more customers and increase sales and profits.
Paul Turley
NOVEMBER 17, 2022
When planning a Power BI solution, how can we plan for scale and growth?
Analytics Vidhya
NOVEMBER 12, 2022
This article was published as a part of the Data Science Blogathon. Source: totaljobs.com Introduction TensorFlow is one of the most well-liked and promising deep learning frameworks for devising novel deep learning solutions. Given its popularity and wide usage in companies, startups, and business firms to automate things and develop new systems, it is imperative to have […].
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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