David Menninger's Analyst Perspectives

MAY 24, 2022

There is a fundamental flaw in information technology, or at least in the way it is most commonly delivered. Most technology systems are developed under the assumption that all people will use the system primarily in the same way. Sure, there are some options built in — perhaps the same action can be initiated by either clicking on a button, selecting a menu item or invoking a keyboard short-cut.

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Analytics Vidhya

MAY 28, 2022

This article was published as a part of the Data Science Blogathon. Introduction to Pandas Pandas is a python library that needs no introduction. Pandas provide an easier way to do preprocessing and analysis on our data. However, if we are working on a larger data, pandas takes too much time for data preprocessing. The […]. The post Modin: Expedite Your Pandas Code with Single Change appeared first on Analytics Vidhya.

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DataKitchen

MAY 2, 2022

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datapine

MAY 11, 2022

“By visualizing information, we turn it into a landscape that you can explore with your eyes. A sort of information map. And when you’re lost in information, an information map is kind of useful.” – David McCandless. Did you know? 90% of the information transmitted to the brain is visual. Concerning professional growth, development, and evolution, using data-driven insights to formulate actionable strategies and implement valuable initiatives is essential.

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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have migrated their testing and production workloads to the cloud, yet development environments often remain tied to outdated local setups, limiting efficiency and growth.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.

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KDnuggets

MAY 30, 2022

Also: Decision Tree Algorithm, Explained; Data Science Projects That Will Land You The Job in 2022; The 6 Python Machine Learning Tools Every Data Scientist Should Know About; Naïve Bayes Algorithm: Everything You Need to Know.

Data Science 160

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CIO Business Intelligence

MAY 26, 2022

When companies first start deploying artificial intelligence and building machine learning projects, the focus tends to be on theory. Is there a model that can provide the necessary results? How can it be built? How can it be trained? But the tools that data scientists use to create these proofs of concept often don’t translate well into production systems.

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Analytics Vidhya

MAY 29, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Machine Learning Last month, I participated in a Machine learning approach Hackathon hosted on Analytics Vidhya’s Datahack platform. Over a weekend, more than 600 participants competed to build and improve their solutions and climb the leaderboard. In this article, I will […].

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DataKitchen

MAY 2, 2022

The post Podcast: Storytime for DataOps first appeared on DataKitchen.

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datapine

MAY 31, 2022

Table of Contents. 1) What Is Cloud Computing? 2) The Challenges Of Cloud Computing. 3) Cloud Computing Benefits. 4) The Future Of Cloud Computing. Everywhere you turn these days, “the cloud” is being talked about. It’s a hot topic, and as technologies continue to evolve at a rapid pace, the scope of the cloud continues to expand. Yes, this ambiguous term seems to encompass almost everything about us.

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KDnuggets

MAY 30, 2022

A machine learning engineer is a programmer proficient in building and designing software to automate predictive models. They have a deeper focus on computer science, compared to 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?

Business Intelligence

CIO Business Intelligence

MAY 28, 2022

Liberty Mutual is one of the most experienced and advanced cloud adopters in the nation. And that is in no small part thanks to the vision of James McGlennon, who in his role as CIO of Liberty Mutual for past 17 years has led the charge to the cloud, analytics, and AI with a budget north of $2 billion. Eight years ago, McGlennon hosted an off-site think tank with his staff and came up with a “technology manifesto document” that defined in those early days the importance of exploiting cloud-based

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Smart Data Collective

MAY 16, 2022

Data-savvy companies are constantly exploring new ways to utilize big data to solve various challenges they encounter. A growing number of companies are using data analytics technology to improve customer engagement. Werner H Kunz of the University of Massachusetts Boston and some of his colleagues addressed this in their paper Customer Engagement in a Big Data World.

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Analytics Vidhya

MAY 19, 2022

This article was published as a part of the Data Science Blogathon. Introduction on CNN Architecture Hello, and welcome again to another intriguing subject. As a consequence of the large quantity of data accessible, particularly in the form of photographs and videos, the need for Deep Learning is growing by the day. Many advanced designs […]. The post How to Approach CNN Architecture from Scratch?

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TDAN

MAY 4, 2022

You might think the title of this article is some­what controversial, but you should wait until you’ve read to the end to render judgment. There are several important shifts impacting data management and database administration that cause manual practices and procedures to be ineffective. Let’s examine several of these trends. Data Growth But No DBA […].

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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.

Data-driven

datapine

MAY 6, 2022

Like mitochondria and the cell, the order management system is the powerhouse of the warehouse. It ensures everything flows correctly and effectively, minimizing issues and impacting the budget. Using your order tools to their fullest improves order operations and creates plenty of ways you can reduce expenses or eliminate costs. It’s all about learning the tool and seeing what’s available.

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KDnuggets

MAY 30, 2022

Get into the highly in-demand world of data engineering for free and earn 6 figures salary.

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CIO Business Intelligence

MAY 20, 2022

Artificial Intelligence (AI) is a fast-growing and evolving field, and data scientists with AI skills are in high demand. The field requires broad training involving principles of computer science, cognitive psychology, and engineering. If you want to grow your data scientist career and capitalize on the demand for the role, you might consider getting a graduate degree in AI.

Machine Learning 145

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Smart Data Collective

MAY 22, 2022

Human-operated ransomware attacks have threat actors using certain methods to get into your devices. They depend on hands-on-keyboard activities to get into your network. AI can protect you in the event of these and other attacks. Since the decisions are data-driven, you have a lower likelihood of falling victim to attacks. The decisions are based on extensive experimentation and research to improve effectiveness without altering customer experience.

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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.

Marketing

Analytics Vidhya

MAY 16, 2022

This article was published as a part of the Data Science Blogathon. Introduction on Exploratory Data Analysis When we start with data science we all want to dive in and apply some cool sounding algorithms like Naive Bayes, XGBoost directly to our data and expects to get some magical results. But we tend to forget that before applying those […].

Data Science 399

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Cloudera

MAY 4, 2022

Artificial intelligence (AI) has been a focus for research for decades, but has only recently become truly viable. The availability and maturity of automated data collection and analysis systems is making it possible for businesses to implement AI across their entire operations to boost efficiency and agility. AI has the potential to transform operations by improving three fundamental business requirements: process automation, decision-making based on data insights, and customer interaction.

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DataKitchen

MAY 23, 2022

"The goal of DataOps is to enable predictable delivery and change management of data and all data-related artifacts such as data pipelines, data models and semantics". The post DataKitchen Named a Representative Vendor in the 2022 Gartner® Data and Analytics Essentials: #DataOps Report first appeared on DataKitchen.

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KDnuggets

MAY 27, 2022

Colossal amounts of data need to be dealt with by specialists. It’s no wonder then that the job prospects in this industry are expected to rise much faster than in other occupations.

Data Science 160

Data Science 160

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.

Business Intelligence

CIO Business Intelligence

MAY 24, 2022

While regulations are created to protect consumers and markets, they’re often complex, making them costly and challenging to adhere to. Highly regulated industries like Financial Services and Life Sciences have to absorb the most significant compliance costs. Deloitte estimates that compliance costs for banks have increased by 60% since the financial crisis of 2008, and the Risk Management Association found that 50% of financial institutions spend 6 to 10% of their revenues on compliance.

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Smart Data Collective

MAY 13, 2022

Did you know that global companies are projected to spend nearly $1.6 trillion on AI by 2030 ? The demand for AI services is growing due to the many powerful benefits it offers. Various applications, from web-based smart assistants to self-driving cars and house-cleaning robots, run with the help of artificial intelligence (AI). With the growth of business data, it is no longer surprising that AI has penetrated data analytics and business insight tools.

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Analytics Vidhya

MAY 10, 2022

This article was published as a part of the Data Science Blogathon. Introduction Machine Learning and Data Science are one of the fastest-growing technological fields. This field results in amazing changes in the medical field, production, robotics etc. The main reason for the advancement in this field is the increase in the computational power and […].

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Machine Learning Data Science Publishing Technology 399

David Menninger's Analyst Perspectives

MAY 19, 2022

The data governance landscape is growing rapidly. Organizations handling vast amounts of data face multiple challenges as more regulations are added to govern sensitive information. Adoption of multi-cloud strategies increases governance concerns with new data sources that are accessed in real time. Our Data Governance Benchmark Research shows that organizations face multiple challenges when deploying data governance.

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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.

Data-driven

DataKitchen

MAY 2, 2022

The post DataKitchen Noted For DataOps Thought LeaderShip first appeared on DataKitchen.

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KDnuggets

MAY 26, 2022

Read the best books on Machine Learning, Deep Learning, Computer Vision, Natural Language Processing, MLOps, Robotics, IoT, AI Products Management, and Data Science for Executives.

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Data Science Deep Learning IoT Machine Learning 160

CIO Business Intelligence

MAY 17, 2022

Depending on which Terminator movies you watch, the evil artificial intelligence Skynet has either already taken over humanity or is about to do so. But it’s not just science fiction writers who are worried about the dangers of uncontrolled AI. In a 2019 survey by Emerj , an AI research and advisory company, 14% of AI researchers said that AI was an “existential threat” to humanity.

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Smart Data Collective

MAY 19, 2022

Big data technology is incredibly important in many aspects of modern business. The sales profession is one of the areas most affected by data. Companies spent $2.8 billion on marketing analytics in 2020 alone. That figure is growing substantially each year. There are many ways that big data is helping companies improve sales. One of the biggest benefits is that it can help automate many aspects of the sales process.

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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.

Reporting